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merge=lfs -text +z-image/lora/Natural[[:space:]]Woman/extra_data-vid_2935386/130339236.jpeg filter=lfs diff=lfs merge=lfs -text +z-image/lora/Natural[[:space:]]Woman/extra_data-vid_2935386/130339238.jpeg filter=lfs diff=lfs merge=lfs -text +z-image/lora/Natural[[:space:]]Woman/extra_data-vid_2935386/130339248.jpeg filter=lfs diff=lfs merge=lfs -text diff --git a/chroma/lora/Dreamcore Fantasy Movie/Dreamcore_Fantasy_Movie-mid_2143198-vid_2424154.csv b/chroma/lora/Dreamcore Fantasy Movie/Dreamcore_Fantasy_Movie-mid_2143198-vid_2424154.csv new file mode 100644 index 0000000000000000000000000000000000000000..74939e6a5f49560af6883254df928e5a26ab35f3 --- /dev/null +++ b/chroma/lora/Dreamcore Fantasy Movie/Dreamcore_Fantasy_Movie-mid_2143198-vid_2424154.csv @@ -0,0 +1,7 @@ +hash_name, hash_id +AutoV1, 86855B71 +AutoV2, 02CE01DE4B +SHA256, 02CE01DE4B1E34A7D5022B84765399859BD7DEAE5B6D63BB3F8781561B6031AE +CRC32, C2A20A09 +BLAKE3, 33EA15C7BBDE49CAD1C00536368312A9BFA0C7B17A9559F1AE12F66D652CAD28 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+ "seed": 905818259655200, + "vaes": [ + "ae.safetensors" + ], + "comfy": "{\"prompt\": {\"298\": {\"inputs\": {\"samples\": [\"747\", 0], \"vae\": [\"710\", 0]}, \"class_type\": \"VAEDecode\", \"_meta\": {\"title\": \"VAE Decode\"}}, \"694\": {\"inputs\": {\"cfg\": 3.5, \"model\": [\"701\", 0], \"positive\": [\"748\", 0], \"negative\": [\"749\", 0]}, \"class_type\": \"CFGGuider\", \"_meta\": {\"title\": \"CFGGuider\"}}, \"700\": {\"inputs\": {\"sampler_name\": \"euler\"}, \"class_type\": \"KSamplerSelect\", \"_meta\": {\"title\": \"KSamplerSelect\"}}, \"701\": {\"inputs\": {\"shift\": 1.0, \"model\": [\"751\", 0]}, \"class_type\": \"ModelSamplingAuraFlow\", \"_meta\": {\"title\": \"Flow Shift\"}}, \"710\": {\"inputs\": {\"vae_name\": \"ae.safetensors\"}, \"class_type\": \"VAELoader\", \"_meta\": {\"title\": \"Load VAE\"}}, \"718\": {\"inputs\": {\"noise_seed\": 905818259655200}, \"class_type\": \"RandomNoise\", \"_meta\": {\"title\": \"SEED\"}}, \"731\": {\"inputs\": {\"unet_name\": \"chroma_v10HD.safetensors\", \"weight_dtype\": \"default\"}, \"class_type\": \"UNETLoader\", \"_meta\": {\"title\": \"Load Diffusion Model\"}}, \"733\": {\"inputs\": {\"clip_name\": \"google_t5-v1_1-xxl_encoderonly-fp8_e4m3fn.safetensors\", \"type\": \"chroma\", \"device\": \"default\"}, \"class_type\": \"CLIPLoader\", \"_meta\": {\"title\": \"Load CLIP\"}}, \"734\": {\"inputs\": {\"scheduler\": \"beta\", \"steps\": 20, \"denoise\": 1.0, \"model\": [\"701\", 0]}, \"class_type\": \"BasicScheduler\", \"_meta\": {\"title\": \"BasicScheduler\"}}, \"737\": {\"inputs\": {\"width\": 1024, \"height\": 1024, \"batch_size\": 1}, \"class_type\": \"EmptySD3LatentImage\", \"_meta\": {\"title\": \"EmptySD3LatentImage\"}}, \"741\": {\"inputs\": {\"min_padding\": 0, \"min_length\": 0, \"clip\": [\"751\", 1]}, \"class_type\": \"T5TokenizerOptions\", \"_meta\": {\"title\": \"T5TokenizerOptions\"}}, \"747\": {\"inputs\": {\"noise\": [\"718\", 0], \"guider\": [\"694\", 0], \"sampler\": [\"700\", 0], \"sigmas\": [\"734\", 0], \"latent_image\": [\"737\", 0]}, \"class_type\": \"SamplerCustomAdvanced\", \"_meta\": {\"title\": \"SamplerCustomAdvanced\"}}, \"748\": {\"inputs\": {\"text\": \"Dreamcore Fantasy Movie, The image shows a woman in a black and white dress with wings standing on a set of stairs with a wall in the background. She appears to be a snow queen as suggested by the title of the image \\\"Snow Queen\\\"., stairs, solo, 1girl, wings, pointy ears, armor, butterfly wings, dress, blue wings, arms at sides\\n\", \"clip\": [\"741\", 0]}, \"class_type\": \"CLIPTextEncode\", \"_meta\": {\"title\": \"CLIP Text Encode (Positive Prompt)\"}}, \"749\": {\"inputs\": {\"text\": \"This low quality greyscale unfinished sketch is inaccurate and flawed. The image is very blurred and lacks detail with excessive chromatic aberrations and artifacts. The image is overly saturated with excessive bloom. It has a toony aesthetic with bold outlines and flat colors. \", \"clip\": [\"741\", 0]}, \"class_type\": \"CLIPTextEncode\", \"_meta\": {\"title\": \"CLIP Text Encode (Negative Prompt)\"}}, \"751\": {\"inputs\": {\"lora_name\": \"MyMy\\\\Dreamcore Fantasy Movie\\\\Dreamcore_Fantasy_MovieChroma.safetensors\", \"strength_model\": 1.0, \"strength_clip\": 1.0, \"model\": [\"731\", 0], \"clip\": [\"733\", 0]}, \"class_type\": \"LoraLoader\", \"_meta\": {\"title\": \"Load LoRA\"}}, \"752\": {\"inputs\": {\"filename_prefix\": \"Chroma\", \"folder\": \"\", \"overwrite_warning\": false, \"include_metadata\": true, \"extension\": \"png\", \"quality\": 100, \"images\": [\"298\", 0]}, \"class_type\": \"> Save Image\", \"_meta\": {\"title\": \"\\ud83d\\ude3c> Save Image\"}}}, \"workflow\": {\"id\": \"b2d37916-fab5-425f-850d-7a64886e4d54\", \"revision\": 0, \"last_node_id\": 752, \"last_link_id\": 1376, \"nodes\": [{\"id\": 298, \"type\": \"VAEDecode\", \"pos\": [-1438, 1487], \"size\": [140, 46], 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\"links\": [1351]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.27\", \"Node name for S&R\": \"CFGGuider\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [3.5]}, {\"id\": 700, \"type\": \"KSamplerSelect\", \"pos\": [-1758, 1457], \"size\": [210, 58], \"flags\": {\"collapsed\": false}, \"order\": 0, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"name\": \"SAMPLER\", \"type\": \"SAMPLER\", \"links\": [1352]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.49\", \"Node name for S&R\": \"KSamplerSelect\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [\"euler\"]}, {\"id\": 701, \"type\": \"ModelSamplingAuraFlow\", \"pos\": [-1800, 730], \"size\": [210, 58], \"flags\": 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590], \"size\": [260, 90], \"flags\": {}, \"order\": 3, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"title\": \"Optional Flow Shift\", \"properties\": {}, \"widgets_values\": [\"Flow Shift node set to 1.0 represents intended shift by the creator of the Chroma model and will produce greater detail. \"], \"color\": \"#432\", \"bgcolor\": \"#653\"}, {\"id\": 741, \"type\": \"T5TokenizerOptions\", \"pos\": [-1800, 830], \"size\": [210, 82], \"flags\": {}, \"order\": 11, \"mode\": 0, \"inputs\": [{\"name\": \"clip\", \"type\": \"CLIP\", \"link\": 1376}], \"outputs\": [{\"name\": \"CLIP\", \"type\": \"CLIP\", \"links\": [1356, 1359]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.59\", \"Node name for S&R\": \"T5TokenizerOptions\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [0, 0]}, {\"id\": 742, \"type\": \"Note\", \"pos\": [-1810, 960], \"size\": [230, 88], \"flags\": {}, \"order\": 4, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"title\": \"Optional Padding\", \"properties\": {}, \"widgets_values\": [\"min_padding 1 is the official way. setting it to 0 works too. \"], \"color\": \"#432\", \"bgcolor\": \"#653\"}, {\"id\": 747, \"type\": \"SamplerCustomAdvanced\", \"pos\": [-1458, 1197], \"size\": [280, 230], \"flags\": {}, \"order\": 16, \"mode\": 0, \"inputs\": [{\"name\": \"noise\", \"type\": \"NOISE\", \"link\": 1350}, {\"name\": \"guider\", \"type\": \"GUIDER\", \"link\": 1351}, {\"name\": \"sampler\", \"type\": \"SAMPLER\", \"link\": 1352}, {\"name\": \"sigmas\", \"type\": \"SIGMAS\", \"link\": 1353}, {\"name\": \"latent_image\", \"type\": \"LATENT\", \"link\": 1354}], \"outputs\": [{\"name\": \"output\", \"type\": \"LATENT\", \"links\": [1355]}, {\"name\": \"denoised_output\", \"type\": \"LATENT\", \"links\": null}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.59\", \"Node name for S&R\": \"SamplerCustomAdvanced\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": []}, {\"id\": 749, \"type\": \"CLIPTextEncode\", \"pos\": [-1528.800000000001, 823.3000000000002], \"size\": [400, 200], \"flags\": {}, \"order\": 14, \"mode\": 0, \"inputs\": [{\"name\": \"clip\", \"type\": \"CLIP\", \"link\": 1359}], \"outputs\": [{\"name\": \"CONDITIONING\", \"type\": \"CONDITIONING\", \"links\": [1361]}], \"title\": \"CLIP Text Encode (Negative Prompt)\", \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.59\", \"Node name for S&R\": \"CLIPTextEncode\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [\"This low quality greyscale unfinished sketch is inaccurate and flawed. The image is very blurred and lacks detail with excessive chromatic aberrations and artifacts. The image is overly saturated with excessive bloom. It has a toony aesthetic with bold outlines and flat colors. \"], \"color\": \"#322\", \"bgcolor\": \"#533\"}, {\"id\": 743, \"type\": \"MarkdownNote\", \"pos\": [-2970, 530], \"size\": [640, 580], \"flags\": {}, \"order\": 5, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Chroma final model has been released and is hosted [here](https://huggingface.co/lodestones/Chroma1-HD). You can visit [here](https://huggingface.co/lodestones/Chroma) to get previous versions for download. For other models, if you have used models related to Flux, then you probably don't need to download them again.\\n\\n## diffusion_models\\n\\n[Chroma1-HD.safetensors](https://huggingface.co/lodestones/Chroma1-HD/resolve/main/Chroma1-HD.safetensors)\\n\\nor fp8_scaled version for lower VRAM GPU\\n\\n[Chroma1-HD-fp8_scaled_rev2.safetensors](https://huggingface.co/silveroxides/Chroma1-HD-fp8-scaled/resolve/main/Chroma1-HD-fp8_scaled_rev2.safetensors)\\n\\n\\n## text_encoders\\n\\n[t5xxl_fp16](https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp16.safetensors)\\n\\nor\\n\\n[t5xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp8_e4m3fn_scaled.safetensors)\\n\\n## vae\\n\\n[ae.safetensors](https://huggingface.co/Comfy-Org/Lumina_Image_2.0_Repackaged/resolve/main/split_files/vae/ae.safetensors)\\n\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u251c\\u2500\\u2500 Chroma1-HD-fp8_scaled_rev2_learned_topp0.25_k16-2688_svd.safetensors\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 Chroma1-HD.safetensors\\n\\u2502 \\u251c\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u251c\\u2500\\u2500 t5xxl_fp8_e4m3fn_scaled.safetensors\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 t5xxl_fp16.safetensors \\n\\u2502 \\u2514\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 ae.safetensors\\n```\\n\"], \"color\": \"#432\", \"bgcolor\": \"#653\"}, {\"id\": 734, \"type\": \"BasicScheduler\", \"pos\": [-1758, 1567], \"size\": [210, 106], \"flags\": {}, \"order\": 12, \"mode\": 0, \"inputs\": [{\"name\": \"model\", \"type\": \"MODEL\", \"link\": 1371}], \"outputs\": [{\"name\": \"SIGMAS\", \"type\": \"SIGMAS\", \"links\": [1353]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.59\", \"Node name for S&R\": \"BasicScheduler\", \"enableTabs\": false, \"tabWidth\": 65, 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", + "additionalResources": [ + { + "name": "MyMy\\Dreamcore Fantasy Movie\\Dreamcore_Fantasy_MovieChroma.safetensors", + "type": "lora", + "strength": 1, + "strengthClip": 1 + } + ] + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/chroma/lora/Dreamcore Fantasy Movie/extra_data-vid_2424154/111009400.jpeg b/chroma/lora/Dreamcore Fantasy Movie/extra_data-vid_2424154/111009400.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..360d8ddf6e93f95901ed64dfcc07ae1b6c3b994f --- /dev/null +++ b/chroma/lora/Dreamcore Fantasy Movie/extra_data-vid_2424154/111009400.jpeg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:54029f092a82205a0c246aa7b80507d251126cd2d1ffef42e7e2bb64ac7ef830 +size 1327464 diff --git a/chroma/lora/Dreamcore Fantasy Movie/extra_data-vid_2424154/111009400.json b/chroma/lora/Dreamcore Fantasy Movie/extra_data-vid_2424154/111009400.json new file mode 100644 index 0000000000000000000000000000000000000000..d0cead9276c67f9638f94a4cd0c3ae243ca655a5 --- /dev/null +++ b/chroma/lora/Dreamcore Fantasy Movie/extra_data-vid_2424154/111009400.json @@ -0,0 +1,42 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7ce34a2a-da8d-4f82-9dab-c4b9546ae352/original=true/111009400.jpeg", + "nsfwLevel": 1, + "width": 1024, + "height": 1024, + "hash": "UP73LZaxMdoz*0kWRPo#oekDj[j?kCj[j[aK", + "type": "image", + "metadata": { + "hash": "UP73LZaxMdoz*0kWRPo#oekDj[j?kCj[j[aK", + "size": 1327464, + "width": 1024, + "height": 1024 + }, + "minor": false, + "poi": false, + "meta": { + "seed": 905818259655200, + "vaes": [ + "ae.safetensors" + ], + "comfy": "{\"prompt\": {\"298\": {\"inputs\": {\"samples\": [\"747\", 0], \"vae\": [\"710\", 0]}, \"class_type\": \"VAEDecode\", \"_meta\": {\"title\": \"VAE Decode\"}}, \"694\": {\"inputs\": {\"cfg\": 3.5, \"model\": [\"701\", 0], \"positive\": [\"748\", 0], \"negative\": [\"749\", 0]}, \"class_type\": \"CFGGuider\", \"_meta\": {\"title\": \"CFGGuider\"}}, \"700\": {\"inputs\": {\"sampler_name\": \"euler\"}, \"class_type\": \"KSamplerSelect\", \"_meta\": {\"title\": \"KSamplerSelect\"}}, \"701\": {\"inputs\": {\"shift\": 1.0, \"model\": [\"751\", 0]}, \"class_type\": \"ModelSamplingAuraFlow\", \"_meta\": {\"title\": \"Flow Shift\"}}, \"710\": {\"inputs\": {\"vae_name\": \"ae.safetensors\"}, \"class_type\": \"VAELoader\", \"_meta\": {\"title\": \"Load VAE\"}}, \"718\": {\"inputs\": {\"noise_seed\": 905818259655200}, \"class_type\": \"RandomNoise\", \"_meta\": {\"title\": \"SEED\"}}, \"731\": {\"inputs\": {\"unet_name\": \"chroma_v10HD.safetensors\", \"weight_dtype\": \"default\"}, \"class_type\": \"UNETLoader\", \"_meta\": {\"title\": \"Load Diffusion Model\"}}, \"733\": {\"inputs\": {\"clip_name\": \"google_t5-v1_1-xxl_encoderonly-fp8_e4m3fn.safetensors\", \"type\": \"chroma\", \"device\": \"default\"}, \"class_type\": \"CLIPLoader\", \"_meta\": {\"title\": \"Load CLIP\"}}, \"734\": {\"inputs\": {\"scheduler\": \"beta\", \"steps\": 20, \"denoise\": 1.0, \"model\": [\"701\", 0]}, \"class_type\": \"BasicScheduler\", \"_meta\": {\"title\": \"BasicScheduler\"}}, \"737\": {\"inputs\": {\"width\": 1024, \"height\": 1024, \"batch_size\": 1}, \"class_type\": \"EmptySD3LatentImage\", \"_meta\": {\"title\": \"EmptySD3LatentImage\"}}, \"741\": {\"inputs\": {\"min_padding\": 0, \"min_length\": 0, \"clip\": [\"751\", 1]}, \"class_type\": \"T5TokenizerOptions\", \"_meta\": {\"title\": \"T5TokenizerOptions\"}}, \"747\": {\"inputs\": {\"noise\": [\"718\", 0], \"guider\": [\"694\", 0], \"sampler\": [\"700\", 0], \"sigmas\": [\"734\", 0], \"latent_image\": [\"737\", 0]}, \"class_type\": \"SamplerCustomAdvanced\", \"_meta\": {\"title\": \"SamplerCustomAdvanced\"}}, \"748\": {\"inputs\": {\"text\": \"Dreamcore Fantasy Movie, The image shows two people wearing black dresses standing in a forest holding hands. 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for S&R\": \"SamplerCustomAdvanced\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": []}, {\"id\": 749, \"type\": \"CLIPTextEncode\", \"pos\": [-1528.800000000001, 823.3000000000002], \"size\": [400, 200], \"flags\": {}, \"order\": 14, \"mode\": 0, \"inputs\": [{\"name\": \"clip\", \"type\": \"CLIP\", \"link\": 1359}], \"outputs\": [{\"name\": \"CONDITIONING\", \"type\": \"CONDITIONING\", \"links\": [1361]}], \"title\": \"CLIP Text Encode (Negative Prompt)\", \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.59\", \"Node name for S&R\": \"CLIPTextEncode\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [\"This low quality greyscale unfinished sketch is inaccurate and flawed. The image is very blurred and lacks detail with excessive chromatic aberrations and artifacts. The image is overly saturated with excessive bloom. It has a toony aesthetic with bold outlines and flat colors. \"], \"color\": \"#322\", \"bgcolor\": \"#533\"}, {\"id\": 743, \"type\": \"MarkdownNote\", \"pos\": [-2970, 530], \"size\": [640, 580], \"flags\": {}, \"order\": 5, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Chroma final model has been released and is hosted [here](https://huggingface.co/lodestones/Chroma1-HD). You can visit [here](https://huggingface.co/lodestones/Chroma) to get previous versions for download. For other models, if you have used models related to Flux, then you probably don't need to download them again.\\n\\n## diffusion_models\\n\\n[Chroma1-HD.safetensors](https://huggingface.co/lodestones/Chroma1-HD/resolve/main/Chroma1-HD.safetensors)\\n\\nor fp8_scaled version for lower VRAM GPU\\n\\n[Chroma1-HD-fp8_scaled_rev2.safetensors](https://huggingface.co/silveroxides/Chroma1-HD-fp8-scaled/resolve/main/Chroma1-HD-fp8_scaled_rev2.safetensors)\\n\\n\\n## text_encoders\\n\\n[t5xxl_fp16](https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp16.safetensors)\\n\\nor\\n\\n[t5xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp8_e4m3fn_scaled.safetensors)\\n\\n## vae\\n\\n[ae.safetensors](https://huggingface.co/Comfy-Org/Lumina_Image_2.0_Repackaged/resolve/main/split_files/vae/ae.safetensors)\\n\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u251c\\u2500\\u2500 Chroma1-HD-fp8_scaled_rev2_learned_topp0.25_k16-2688_svd.safetensors\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 Chroma1-HD.safetensors\\n\\u2502 \\u251c\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u251c\\u2500\\u2500 t5xxl_fp8_e4m3fn_scaled.safetensors\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 t5xxl_fp16.safetensors \\n\\u2502 \\u2514\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 ae.safetensors\\n```\\n\"], \"color\": \"#432\", \"bgcolor\": \"#653\"}, {\"id\": 734, \"type\": \"BasicScheduler\", \"pos\": [-1758, 1567], \"size\": [210, 106], \"flags\": {}, \"order\": 12, \"mode\": 0, \"inputs\": [{\"name\": \"model\", \"type\": \"MODEL\", \"link\": 1371}], \"outputs\": [{\"name\": \"SIGMAS\", \"type\": \"SIGMAS\", \"links\": [1353]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.59\", \"Node name for S&R\": \"BasicScheduler\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [\"beta\", 20, 1]}, {\"id\": 718, \"type\": \"RandomNoise\", \"pos\": [-1758, 1187], \"size\": [210, 82], \"flags\": {}, \"order\": 6, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"name\": \"NOISE\", \"type\": \"NOISE\", \"links\": [1350]}], \"title\": \"SEED\", \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.57\", \"Node name for S&R\": \"RandomNoise\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [905818259655200, \"fixed\"]}, {\"id\": 731, \"type\": \"UNETLoader\", \"pos\": [-2260, 650], \"size\": [370, 82], \"flags\": {}, \"order\": 7, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"name\": \"MODEL\", \"type\": \"MODEL\", \"links\": [1372]}], \"properties\": {\"cnr_id\": 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\"923c366c2937cf6ce55e8a808e29f23831281bb5\", \"Node name for S&R\": \"> Save Image\"}, \"widgets_values\": [\"Chroma\", \"\", false, true, \"png\", 100]}, {\"id\": 733, \"type\": \"CLIPLoader\", \"pos\": [-2260, 770], \"size\": [370, 110], \"flags\": {}, \"order\": 8, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"name\": \"CLIP\", \"type\": \"CLIP\", \"links\": [1375]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.57\", \"Node name for S&R\": \"CLIPLoader\", \"models\": [{\"name\": \"t5xxl_fp8_e4m3fn_scaled.safetensors\", \"url\": \"https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp8_e4m3fn_scaled.safetensors\", \"directory\": \"text_encoders\"}], \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [\"google_t5-v1_1-xxl_encoderonly-fp8_e4m3fn.safetensors\", \"chroma\", \"default\"]}, {\"id\": 751, 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Prompt)\", \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.59\", \"Node name for S&R\": \"CLIPTextEncode\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [\"Dreamcore Fantasy Movie, The image shows two people wearing black dresses standing in a forest holding hands. The background is blurred giving the image a dreamy ethereal feel., armor, 1girl, white hair, long hair, colored skin, holding hands, 1boy, glowing eyes, glowing, blue skin\\n\"], \"color\": \"#232\", \"bgcolor\": \"#353\"}], \"links\": [[1252, 710, 0, 298, 1, \"VAE\"], [1350, 718, 0, 747, 0, \"NOISE\"], [1351, 694, 0, 747, 1, \"GUIDER\"], [1352, 700, 0, 747, 2, \"SAMPLER\"], [1353, 734, 0, 747, 3, \"SIGMAS\"], [1354, 737, 0, 747, 4, \"LATENT\"], [1355, 747, 0, 298, 0, \"LATENT\"], [1356, 741, 0, 748, 0, \"CLIP\"], [1358, 748, 0, 694, 1, \"CONDITIONING\"], [1359, 741, 0, 749, 0, \"CLIP\"], [1361, 749, 0, 694, 2, \"CONDITIONING\"], [1370, 701, 0, 694, 0, \"MODEL\"], [1371, 701, 0, 734, 0, \"MODEL\"], [1372, 731, 0, 751, 0, \"MODEL\"], [1373, 751, 0, 701, 0, \"MODEL\"], [1374, 298, 0, 752, 0, \"IMAGE\"], [1375, 733, 0, 751, 1, \"CLIP\"], [1376, 751, 1, 741, 0, \"CLIP\"]], \"groups\": [{\"id\": 4, \"title\": \"Sampler Settings\", \"bounding\": [-1838, 1097, 730, 600], \"color\": \"#3f789e\", \"font_size\": 24, \"flags\": {}}, {\"id\": 5, \"title\": \"Step 1: Load models\", \"bounding\": [-2300, 500, 440, 560], \"color\": \"#3f789e\", \"font_size\": 24, \"flags\": {}}, {\"id\": 6, \"title\": \"Optional\", \"bounding\": [-1850, 500, 290, 560], \"color\": \"#3f789e\", \"font_size\": 24, \"flags\": {}}, {\"id\": 7, \"title\": \"Step 2: Image Size\", \"bounding\": [-2300, 1080, 440, 220], \"color\": \"#3f789e\", \"font_size\": 24, \"flags\": {}}, {\"id\": 8, \"title\": \"Step 3: Prompt\", \"bounding\": [-1528.800000000001, 503.3, 420, 550], \"color\": \"#3f789e\", \"font_size\": 24, \"flags\": {}}], \"config\": {}, \"extra\": {\"ds\": {\"scale\": 1.1, \"offset\": [2758.178260291987, -346.82091198201294]}, \"frontendVersion\": \"1.28.8\", \"VHS_latentpreview\": false, \"VHS_latentpreviewrate\": 0, \"VHS_MetadataImage\": true, \"VHS_KeepIntermediate\": true}, \"version\": 0.4, \"seed_widgets\": {\"718\": 0}}}", + "steps": 20, + "prompt": "Dreamcore Fantasy Movie, The image shows two people wearing black dresses standing in a forest holding hands. The background is blurred giving the image a dreamy ethereal feel., armor, 1girl, white hair, long hair, colored skin, holding hands, 1boy, glowing eyes, glowing, blue skin\n", + "denoise": 1, + "sampler": "Euler", + "scheduler": "beta", + "negativePrompt": "This low quality greyscale unfinished sketch is inaccurate and flawed. The image is very blurred and lacks detail with excessive chromatic aberrations and artifacts. The image is overly saturated with excessive bloom. It has a toony aesthetic with bold outlines and flat colors. ", + "additionalResources": [ + { + "name": "MyMy\\Dreamcore Fantasy Movie\\Dreamcore_Fantasy_MovieChroma.safetensors", + "type": "lora", + "strength": 1, + "strengthClip": 1 + } + ] + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/chroma/lora/Dreamcore Fantasy Movie/extra_data-vid_2424154/111009401.jpeg b/chroma/lora/Dreamcore Fantasy Movie/extra_data-vid_2424154/111009401.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..40466dee4f0e578a2e924392854f1e3adf30c4f0 --- /dev/null +++ b/chroma/lora/Dreamcore Fantasy Movie/extra_data-vid_2424154/111009401.jpeg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:304310d2bc6b8881cb2123bc0b3008cb28aa79c6aeb991fd84d1deb3d082f013 +size 1398218 diff --git a/chroma/lora/Dreamcore Fantasy Movie/extra_data-vid_2424154/111009401.json b/chroma/lora/Dreamcore Fantasy Movie/extra_data-vid_2424154/111009401.json new file mode 100644 index 0000000000000000000000000000000000000000..2315f6ea7cd02b9a9e9894b8f15484f45e7923d1 --- /dev/null +++ b/chroma/lora/Dreamcore Fantasy Movie/extra_data-vid_2424154/111009401.json @@ -0,0 +1,42 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fe568bd3-7b55-4e19-a0fa-78afc0b572b3/original=true/111009401.jpeg", + "nsfwLevel": 1, + "width": 1024, + "height": 1024, + "hash": "UhCtawjtW:x[_NofRkt7?bofV[t7%MozWAj@", + "type": "image", + "metadata": { + "hash": "UhCtawjtW:x[_NofRkt7?bofV[t7%MozWAj@", + "size": 1398218, + "width": 1024, + "height": 1024 + }, + "minor": false, + "poi": false, + "meta": { + "seed": 905818259655200, + "vaes": [ + "ae.safetensors" + ], + "comfy": "{\"prompt\": {\"298\": {\"inputs\": {\"samples\": [\"747\", 0], \"vae\": [\"710\", 0]}, \"class_type\": \"VAEDecode\", \"_meta\": {\"title\": \"VAE Decode\"}}, \"694\": {\"inputs\": {\"cfg\": 3.5, \"model\": [\"701\", 0], \"positive\": [\"748\", 0], \"negative\": [\"749\", 0]}, \"class_type\": \"CFGGuider\", \"_meta\": {\"title\": \"CFGGuider\"}}, \"700\": {\"inputs\": {\"sampler_name\": \"euler\"}, \"class_type\": \"KSamplerSelect\", \"_meta\": {\"title\": \"KSamplerSelect\"}}, \"701\": {\"inputs\": {\"shift\": 1.0, \"model\": [\"751\", 0]}, \"class_type\": \"ModelSamplingAuraFlow\", \"_meta\": {\"title\": \"Flow Shift\"}}, \"710\": {\"inputs\": {\"vae_name\": \"ae.safetensors\"}, \"class_type\": \"VAELoader\", \"_meta\": {\"title\": \"Load VAE\"}}, \"718\": {\"inputs\": {\"noise_seed\": 905818259655200}, \"class_type\": \"RandomNoise\", \"_meta\": {\"title\": \"SEED\"}}, \"731\": {\"inputs\": {\"unet_name\": \"chroma_v10HD.safetensors\", \"weight_dtype\": \"default\"}, \"class_type\": \"UNETLoader\", \"_meta\": {\"title\": \"Load Diffusion Model\"}}, \"733\": {\"inputs\": {\"clip_name\": \"google_t5-v1_1-xxl_encoderonly-fp8_e4m3fn.safetensors\", \"type\": \"chroma\", \"device\": \"default\"}, \"class_type\": \"CLIPLoader\", \"_meta\": {\"title\": \"Load CLIP\"}}, \"734\": {\"inputs\": {\"scheduler\": \"beta\", \"steps\": 20, \"denoise\": 1.0, \"model\": [\"701\", 0]}, \"class_type\": \"BasicScheduler\", \"_meta\": {\"title\": \"BasicScheduler\"}}, \"737\": {\"inputs\": {\"width\": 1024, \"height\": 1024, \"batch_size\": 1}, \"class_type\": \"EmptySD3LatentImage\", \"_meta\": {\"title\": \"EmptySD3LatentImage\"}}, \"741\": {\"inputs\": {\"min_padding\": 0, \"min_length\": 0, \"clip\": [\"751\", 1]}, \"class_type\": \"T5TokenizerOptions\", \"_meta\": {\"title\": \"T5TokenizerOptions\"}}, \"747\": {\"inputs\": {\"noise\": [\"718\", 0], \"guider\": [\"694\", 0], \"sampler\": [\"700\", 0], \"sigmas\": [\"734\", 0], \"latent_image\": [\"737\", 0]}, \"class_type\": \"SamplerCustomAdvanced\", \"_meta\": {\"title\": \"SamplerCustomAdvanced\"}}, \"748\": {\"inputs\": {\"text\": \"Dreamcore Fantasy Movie, The image shows a woman in a black dress and mask standing in front of a house surrounded by trees plants and leaves on the ground. 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For other models, if you have used models related to Flux, then you probably don't need to download them again.\\n\\n## diffusion_models\\n\\n[Chroma1-HD.safetensors](https://huggingface.co/lodestones/Chroma1-HD/resolve/main/Chroma1-HD.safetensors)\\n\\nor fp8_scaled version for lower VRAM GPU\\n\\n[Chroma1-HD-fp8_scaled_rev2.safetensors](https://huggingface.co/silveroxides/Chroma1-HD-fp8-scaled/resolve/main/Chroma1-HD-fp8_scaled_rev2.safetensors)\\n\\n\\n## text_encoders\\n\\n[t5xxl_fp16](https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp16.safetensors)\\n\\nor\\n\\n[t5xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp8_e4m3fn_scaled.safetensors)\\n\\n## vae\\n\\n[ae.safetensors](https://huggingface.co/Comfy-Org/Lumina_Image_2.0_Repackaged/resolve/main/split_files/vae/ae.safetensors)\\n\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500 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", + "additionalResources": [ + { + "name": "MyMy\\Dreamcore Fantasy Movie\\Dreamcore_Fantasy_MovieChroma.safetensors", + "type": "lora", + "strength": 1, + "strengthClip": 1 + } + ] + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/chroma/lora/Dreamcore Fantasy Movie/extra_data-vid_2424154/model_dict-mid_2143198-vid_2424154.json b/chroma/lora/Dreamcore Fantasy Movie/extra_data-vid_2424154/model_dict-mid_2143198-vid_2424154.json new file mode 100644 index 0000000000000000000000000000000000000000..a212edb7b5c4cd078d4862ea23d6bc46a2c535d0 --- /dev/null +++ b/chroma/lora/Dreamcore Fantasy Movie/extra_data-vid_2424154/model_dict-mid_2143198-vid_2424154.json @@ -0,0 +1,708 @@ +{ + "id": 2143198, + "name": "Dreamcore Fantasy Movie", + "description": "

This is Dreamcore meets Dark Fantasy Cinema.

Cinematic compositions soft vintage effects, blending suburban retro-futurism with ethereal elements.

It combines mundane settings with ominous supernatural elements, creating a visual language that is both nostalgic and unsettling.

It was inspired by the visionary works of Luis Royo, Kay Nielsen, and Simon Stålenhag .

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-- Z-Image (Asian Edition)
I'm experimenting with a completely different training method here. While it's still a work in progress, feel free to give it a try.

Regarding the examples: I used 40 steps to test the limits, but you can definitely achieve good results with fewer steps like 20 for example

-- Chroma
Use with weight around 0.6-0.8. Works great along with lenovo lora


-- Z-Image
Unfortunately at this moment only european girls, but this was just test, so wait for new versions. Highly recommend to use with my workflow https://civitai.com/models/2190193?modelVersionId=2466066

-- Qwen
Alternative version gives more clean result with less noise, blur, grain. I recommend when blend with other loras to set weight around 0.6

Just a beauty girls for qwen. Use it along with my Lenovo lora for Qwen
You can take workflow here: https://huggingface.co/Danrisi/Lenovo_Qwen/resolve/main/Qwen_danrisi.json

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Girls with Slavic appearance for Chroma

Show imagination and creativity. The style is not limited to the pictures from the preview.

You can find my guide to creating LoRa Styles, Early access and Exclusive models on my https://boosty.to/blacksnowskill or just support me 💜

https://t.me/blacksnowskill - exclusive NSFW content

Notice: This model is protected by copyright. Copying, distribution, merging with other models, or use on other websites without the explicit written permission of the author is prohibited.

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"description": "

Klein 4B Consistency Lora

This lora inspired by ByteDance Heilos Easy Anti-Drifting method.

I implemented Frame-Aware Corrupt (Reference Latent Corrupt) latent and Color Statistics Loss.

In additionally, I use frequence split dataset which created by converting an image into frequence domain and split it into high freq image and low freq image.

Reference: low freq image, high freq image (0.8 dropout rate on high freq image)

Target: clean image

lr: 2e-4

scheduler: cosine

optimizer: adamw8bit

steps: 6000

Suggested Prompt:

{edit prompt}. Transform the image to realistic photograph. add realistic details to the corrupted image. restore high frequence details from the corrupted image.

Suggested Strength:

0.5-0.7

Trained on 4B based. This lora aims to preserve image consistence across multiple input images. Control the lora via lora strength.

More strength means more consistence but it would also hurt edit abilities.

Different image might has different optimal lora strength.

Flux2 Klein 9B Consist Lora

HuggingFace:

https://huggingface.co/lrzjason/Consistance_Edit_Lora

Klein 9B Consis Lora

Suggested Prompt:

restore image details

Flux2 Klein 9B Consis Lora

Trained on 9B based. This lora aims to preserve image consistence across multiple input images. Control the lora via lora strength.

Suggested strength: 0.2~1.5

Use with any prompts.

More strength means more consistence but it would also hurt edit abilities.

Different image might has different optimal lora strength.

RH:

https://www.runninghub.ai/post/2016109710943981570/?inviteCode=rh-v1279

======================QE2511================================

RH:

https://www.runninghub.ai/model/public/2010085010870640641?inviteCode=rh-v1279

Custom_node:

https://github.com/lrzjason/Comfyui-QwenEditUtils

QE2511 Alpha is trained on QwenEdit 2511.

As same as previous lora, this lora helps to maintain image consistence.

The lora is trained using nf4 qlora.

V2 lora is trained for QwenEditPlus aka QwenImage Edit (2509)

It is recommanded to use with strength between 0.5 ~1.0 for multiple images

0~0.5 for single image

It needs to use with workflow v4.0 https://civitai.com/models/1939540

RH workflow:

QwenEdit Consistence Edit workflow v4.0

Experience link: https://www.runninghub.ai/post/1965033238311915522/?inviteCode=rh-v1279

QwenEdit Consistence Edit workflow v2.0

Solved pixels shift issue and keep qwenvl encode image ability.

RH workflow:

QwenEdit Consistence Edit workflow v2.0

Experience link: https://www.runninghub.ai/post/1965033238311915522/?inviteCode=rh-v1279

Trained with no ref image into qwenvl.

This lora typical to test the consistency with kontext like workflow.

It is suggested to use 0.45~0.5 lora stregth

Workflow:

https://civitai.com/models/1939540/qwenedit-consistance-edit-workflow

RH workflow:

It's extremely fun and I highly recommend it to you!

Workflow: QwenEdit Consistence Edit workflow

Experience link: https://www.runninghub.ai/post/1965033238311915522/?inviteCode=rh-v1279

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Adds turbo back to the base checkpoint, allows you to control the amount of turbo and thus CFG by adding it to base.

This was created by subtracting klein-base from klein and creating a LoRA from it.

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Lora/klein4b_turbo_r128-mid_2324315-vid_2614707.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c204067b87c5039e768a94f41f6fe52a9150c1ec466f4af4edb4b7a093777a40 +size 785931136 diff --git a/klein-4b/lora/NippleDiffusion - Flux2.Klein/extra_data-vid_2622566/model_dict-mid_2331032-vid_2622566.json b/klein-4b/lora/NippleDiffusion - Flux2.Klein/extra_data-vid_2622566/model_dict-mid_2331032-vid_2622566.json new file mode 100644 index 0000000000000000000000000000000000000000..afb8c777768000869f7e74a50986b731acfe4f30 --- /dev/null +++ b/klein-4b/lora/NippleDiffusion - Flux2.Klein/extra_data-vid_2622566/model_dict-mid_2331032-vid_2622566.json @@ -0,0 +1,508 @@ +{ + "id": 2331032, + "name": "NippleDiffusion - Flux2.Klein", + "description": "

Now your Flux2 Klein can generate breasts. Not good with pussy (yet).

This is a test training, I'll improve it over time. The tools aren't ready 100% yet (one miss fp8 training, other miss some \"advanced\" settings, etc....)

Just describe the breasts you want like the sample images. Note that (yet) the breasts depends more on the woman overall than the description on this first release

UPDATE 23/Jan/2026 09:46 -03: I found a problem in my training config causing the lora rank to be ignored and training with a lower value. Working on a fix to improve the lora right now :)

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- Flux2.Klein/extra_data-vid_2633618/model_dict-mid_2331032-vid_2633618.json @@ -0,0 +1,972 @@ +{ + "id": 2331032, + "name": "NippleDiffusion - Flux2.Klein", + "description": "

Now your Flux2 Klein can generate breasts. Not good with vaginas.

I may release some individual breasts loras like I did for Flux1.Dev. Let's see....

Trained using musubi-tuner

I was tired of other LoRAs without the areolas textures and details. Most of the nipples I got until now using Flux was some soulless plain areolas without the depth it requires.

Then I curated a mid-size dataset with the best breasts and areolas I could find today in the internet.

Concepts trained: (some may require a future individual lora to be used properly)

  • big areolas - Rounded medium to big areola size

  • dark nipples - Dark nipples with more contrast to the natural skin

  • ghost nipples - Pale nipples that appears slightly

  • long nipples - Nipples that you can bite easily

  • puffy nipples - Small breasts with the tip of them covered with a dense nipple

  • saggy breasts - breasts hanging a bit due to the gravity

  • small areolas - Areolas with a small radius

  • veiny areolas - Veins appearing under the skin

  • banana tits - Similar to puffy, but focused on breast shape instead of nipples only

  • silicone tits - The spheres from the 90s. It focuses on shape

  • empty tits - Similar to saggy, but empty

  • flat tits - Flat chested woman

  • oval areolas - When it's cold, the areola shape may change to oval. Good texture

  • bumpy areolas - When it's cold, the areola texture becomes bumpy. Good texture

  • wrinkled areolas - When it's cold big areolas becomes wrinkled! Good texture

Flux does what it wants LOL. I trained different concepts, but flux does not always follow them. Flux seems doing a breast based on the overall girl appearance, but it's possible to achieve using inpainting and some prompt engineering.

Bonus that I added in case the full body appears, to have something right down there:

  • hairy pussy - hairy pussy of a woman standing

  • shaved pussy - shaved pussy of a woman standing

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{\"Node name for S&R\": \"UNETLoader\", \"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"models\": [{\"name\": \"flux-2-klein-base-9b-fp8.safetensors\", \"url\": \"https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8/resolve/main/flux-2-klein-base-9b-fp8.safetensors\", \"directory\": \"diffusion_models\"}], \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [\"flux-2-klein-9b-fp8.safetensors\", \"default\"]}, {\"id\": 79, \"type\": \"MarkdownNote\", \"pos\": [-1835.885129819036, 255.02753737214815], \"size\": [550, 530], \"flags\": {}, \"order\": 4, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8)\\n- [flux-2-klein-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the models.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u251c\\u2500\\u2500 flux-2-klein-9b-fp8.safetensors\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 flux-2-klein-base-9b-fp8.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. Desktop/Cloud ship stable builds; nightly-supported models may not be included yet, please wait for the next stable release.\\n\\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\\n\\n\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 100, \"type\": \"Flux2Scheduler\", \"pos\": [772.3419858499, 568.0473128944258], \"size\": [270, 106], \"flags\": {}, \"order\": 10, \"mode\": 0, \"inputs\": [{\"name\": \"width\", \"type\": \"INT\", \"widget\": {\"name\": \"width\"}, \"link\": 182}, {\"name\": \"height\", \"type\": \"INT\", \"widget\": {\"name\": \"height\"}, \"link\": 184}], \"outputs\": [{\"name\": \"SIGMAS\", \"type\": \"SIGMAS\", \"links\": [169]}], \"properties\": {\"Node name for S&R\": \"Flux2Scheduler\", \"cnr_id\": 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{\"Node name for S&R\": \"UNETLoader\", \"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"models\": [{\"name\": \"flux-2-klein-base-9b-fp8.safetensors\", \"url\": \"https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8/resolve/main/flux-2-klein-base-9b-fp8.safetensors\", \"directory\": \"diffusion_models\"}], \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [\"flux-2-klein-9b-fp8.safetensors\", \"default\"]}, {\"id\": 79, \"type\": \"MarkdownNote\", \"pos\": [-1835.885129819036, 255.02753737214815], \"size\": [550, 530], \"flags\": {}, \"order\": 4, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8)\\n- [flux-2-klein-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the models.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u251c\\u2500\\u2500 flux-2-klein-9b-fp8.safetensors\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 flux-2-klein-base-9b-fp8.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. Desktop/Cloud ship stable builds; nightly-supported models may not be included yet, please wait for the next stable release.\\n\\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\\n\\n\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 100, \"type\": \"Flux2Scheduler\", \"pos\": [772.3419858499, 568.0473128944258], \"size\": [270, 106], \"flags\": {}, \"order\": 10, \"mode\": 0, \"inputs\": [{\"name\": \"width\", \"type\": \"INT\", \"widget\": {\"name\": \"width\"}, \"link\": 182}, {\"name\": \"height\", \"type\": \"INT\", \"widget\": {\"name\": \"height\"}, \"link\": 184}], \"outputs\": [{\"name\": \"SIGMAS\", \"type\": \"SIGMAS\", \"links\": [169]}], \"properties\": {\"Node name for S&R\": \"Flux2Scheduler\", \"cnr_id\": 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{\"Node name for S&R\": \"UNETLoader\", \"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"models\": [{\"name\": \"flux-2-klein-base-9b-fp8.safetensors\", \"url\": \"https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8/resolve/main/flux-2-klein-base-9b-fp8.safetensors\", \"directory\": \"diffusion_models\"}], \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [\"flux-2-klein-9b-fp8.safetensors\", \"default\"]}, {\"id\": 79, \"type\": \"MarkdownNote\", \"pos\": [-1835.885129819036, 255.02753737214815], \"size\": [550, 530], \"flags\": {}, \"order\": 4, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8)\\n- [flux-2-klein-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the models.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u251c\\u2500\\u2500 flux-2-klein-9b-fp8.safetensors\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 flux-2-klein-base-9b-fp8.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. Desktop/Cloud ship stable builds; nightly-supported models may not be included yet, please wait for the next stable release.\\n\\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\\n\\n\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 100, \"type\": \"Flux2Scheduler\", \"pos\": [772.3419858499, 568.0473128944258], \"size\": [270, 106], \"flags\": {}, \"order\": 10, \"mode\": 0, \"inputs\": [{\"name\": \"width\", \"type\": \"INT\", \"widget\": {\"name\": \"width\"}, \"link\": 182}, {\"name\": \"height\", \"type\": \"INT\", \"widget\": {\"name\": \"height\"}, \"link\": 184}], \"outputs\": [{\"name\": \"SIGMAS\", \"type\": \"SIGMAS\", \"links\": [169]}], \"properties\": {\"Node name for S&R\": \"Flux2Scheduler\", \"cnr_id\": 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This LoRA tries to take you into a 60s psychedelic movie

The trigger words are ArsMovieStill, movie still from a 60s psychedelic movie

MJ7 Update coming soon:
Reworking the dataset from scratch.
Enhanced period accuracy.

V2 Update:
The training dataset has been expanded by 300%, significantly increasing its scope.

This update enhances the range of scenes and characters, offering greater flexibility.

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Based on V1 Dataset, but Qwen3VL captions for better compatability with the new model.
The grain might be a little bit too strong for some compositions, so I would recommend starting at Strength 0.8 and adjusting according to your needs.

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\"last_link_id\": 159, \"nodes\": [{\"id\": 78, \"type\": \"SaveImage\", \"pos\": [740, 950], \"size\": [520, 550], \"flags\": {}, \"order\": 6, \"mode\": 4, \"inputs\": [{\"name\": \"images\", \"type\": \"IMAGE\", \"link\": 156}], \"outputs\": [], \"properties\": {\"Node name for S&R\": \"SaveImage\", \"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [\"Flux2-Klein\"]}, {\"id\": 79, \"type\": \"MarkdownNote\", \"pos\": [-710, 340], \"size\": [550, 530], \"flags\": {}, \"order\": 0, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8)\\n- [flux-2-klein-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the models.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u251c\\u2500\\u2500 flux-2-klein-9b-fp8.safetensors\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 flux-2-klein-base-9b-fp8.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. Desktop/Cloud ship stable builds; nightly-supported models may not be included yet, please wait for the next stable release.\\n\\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\\n\\n\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 83, \"type\": \"MarkdownNote\", \"pos\": [480, 200], \"size\": [210, 88], \"flags\": {}, \"order\": 1, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"title\": \"Note\", \"properties\": {}, \"widgets_values\": [\"Click on the top-right corner of the node to open the [subgraph](https://docs.comfy.org/interface/features/subgraph) \\n\\ud83d\\udc47\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 77, \"type\": \"a67caa28-5f85-4917-8396-36004960dd30\", \"pos\": [310, 950], \"size\": [400, 415], \"flags\": {}, \"order\": 4, \"mode\": 4, \"inputs\": [{\"label\": \"width\", \"name\": \"value\", \"type\": \"INT\", \"widget\": {\"name\": \"value\"}, \"link\": null}, {\"label\": \"height\", \"name\": \"value_1\", \"type\": \"INT\", \"widget\": {\"name\": \"value_1\"}, \"link\": null}, {\"label\": \"prompt\", \"name\": \"text\", \"type\": \"STRING\", \"widget\": {\"name\": \"text\"}, \"link\": 157}], \"outputs\": [{\"name\": \"IMAGE\", \"type\": \"IMAGE\", \"links\": [156]}], \"properties\": {\"proxyWidgets\": [[\"-1\", \"text\"], [\"-1\", \"value\"], [\"-1\", \"value_1\"], [\"-1\", \"unet_name\"], [\"-1\", \"clip_name\"], [\"-1\", \"vae_name\"], [\"73\", \"noise_seed\"], [\"73\", \"control_after_generate\"]], \"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [\"\", 1024, 1024, \"flux-2-klein-9b-fp8.safetensors\", \"qwen_3_8b_fp8mixed.safetensors\", \"flux2-vae.safetensors\"]}, {\"id\": 9, \"type\": \"SaveImage\", \"pos\": [730.3333996968714, 341.33332860407205], \"size\": [520, 550], \"flags\": {}, \"order\": 5, \"mode\": 0, \"inputs\": [{\"name\": \"images\", \"type\": \"IMAGE\", \"link\": 154}], \"outputs\": [], \"properties\": {\"Node name for S&R\": \"SaveImage\", \"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [\"Flux2-Klein\"]}, {\"id\": 76, \"type\": \"PrimitiveStringMultiline\", \"pos\": [-140, 340], \"size\": [400, 200], \"flags\": {}, \"order\": 2, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"name\": \"STRING\", \"type\": \"STRING\", \"links\": [155, 157]}], \"title\": \"Prompt\", \"properties\": {\"Node name for S&R\": \"PrimitiveStringMultiline\", \"cnr_id\": \"comfy-core\", \"ver\": \"0.9.1\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [\"ArsMovieStill, 80s Fantasy Movie Still, The image is a portrait of a young man wearing a black hooded cloak with a hood that covers his head. 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\"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8)\\n- [flux-2-klein-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the models.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u251c\\u2500\\u2500 flux-2-klein-9b-fp8.safetensors\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 flux-2-klein-base-9b-fp8.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. Desktop/Cloud ship stable builds; nightly-supported models may not be included yet, please wait for the next stable release.\\n\\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\\n\\n\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 83, \"type\": \"MarkdownNote\", \"pos\": [480, 200], \"size\": [210, 88], \"flags\": {}, \"order\": 1, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"title\": \"Note\", \"properties\": {}, \"widgets_values\": [\"Click on the top-right corner of the node to open the [subgraph](https://docs.comfy.org/interface/features/subgraph) \\n\\ud83d\\udc47\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 77, \"type\": \"a67caa28-5f85-4917-8396-36004960dd30\", \"pos\": [310, 950], \"size\": 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\"type\": \"SaveImage\", \"pos\": [740, 950], \"size\": [520, 550], \"flags\": {}, \"order\": 6, \"mode\": 4, \"inputs\": [{\"name\": \"images\", \"type\": \"IMAGE\", \"link\": 156}], \"outputs\": [], \"properties\": {\"Node name for S&R\": \"SaveImage\", \"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [\"Flux2-Klein\"]}, {\"id\": 79, \"type\": \"MarkdownNote\", \"pos\": [-710, 340], \"size\": [550, 530], \"flags\": {}, \"order\": 0, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8)\\n- [flux-2-klein-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the models.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u251c\\u2500\\u2500 flux-2-klein-9b-fp8.safetensors\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 flux-2-klein-base-9b-fp8.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. Desktop/Cloud ship stable builds; nightly-supported models may not be included yet, please wait for the next stable release.\\n\\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\\n\\n\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 77, \"type\": \"a67caa28-5f85-4917-8396-36004960dd30\", \"pos\": [310, 950], \"size\": [400, 415], \"flags\": {}, \"order\": 4, \"mode\": 4, \"inputs\": [{\"label\": \"width\", \"name\": \"value\", \"type\": \"INT\", \"widget\": {\"name\": \"value\"}, \"link\": null}, {\"label\": \"height\", \"name\": \"value_1\", \"type\": \"INT\", \"widget\": {\"name\": \"value_1\"}, \"link\": null}, {\"label\": \"prompt\", \"name\": \"text\", \"type\": \"STRING\", \"widget\": {\"name\": \"text\"}, \"link\": 157}], \"outputs\": [{\"name\": \"IMAGE\", \"type\": \"IMAGE\", \"links\": [156]}], \"properties\": {\"proxyWidgets\": [[\"-1\", \"text\"], [\"-1\", \"value\"], [\"-1\", \"value_1\"], [\"-1\", \"unet_name\"], [\"-1\", \"clip_name\"], [\"-1\", \"vae_name\"], [\"73\", \"noise_seed\"], [\"73\", \"control_after_generate\"]], \"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [\"\", 1024, 1024, \"flux-2-klein-9b-fp8.safetensors\", \"qwen_3_8b_fp8mixed.safetensors\", \"flux2-vae.safetensors\"]}, {\"id\": 76, \"type\": \"PrimitiveStringMultiline\", \"pos\": [-140, 340], \"size\": [400, 200], \"flags\": {}, \"order\": 1, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"name\": \"STRING\", \"type\": \"STRING\", \"links\": [155, 157]}], \"title\": \"Prompt\", \"properties\": {\"Node name for S&R\": \"PrimitiveStringMultiline\", \"cnr_id\": \"comfy-core\", \"ver\": \"0.9.1\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [\"ArsMovieStill, 80s Fantasy Movie Still, The image is a close-up portrait of a young woman holding a sword. 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The overall mood of the image is dramatic and powerful., weapon, sword, 1girl, solo, blue eyes, black background, holding sword, holding, holding weapon, gloves", + "sampler": "Euler", + "cfgScale": 1, + "additionalResources": [ + { + "name": "MyMy\\80sFantasyKlein9b_000002000H1000.safetensors", + "type": "lora", + "strength": 1 + } + ] + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/80s Fantasy Movie/extra_data-vid_2622285/model_dict-mid_789313-vid_2622285.json b/klein-9b/lora/80s Fantasy Movie/extra_data-vid_2622285/model_dict-mid_789313-vid_2622285.json new file mode 100644 index 0000000000000000000000000000000000000000..5fe851363cf06f0ab2ca485c7033498744a33a1a --- /dev/null +++ b/klein-9b/lora/80s Fantasy Movie/extra_data-vid_2622285/model_dict-mid_789313-vid_2622285.json @@ -0,0 +1,6707 @@ +{ + "id": 789313, + "name": "80s Fantasy Movie", + "description": "

This LoRA is designed to capture the distinct look and feel of early 80s fantasy movies.

The trigger words are ArsMovieStill, 80s Fantasy Movie Still

Z-IMAGE UPDATE:
V2 dataset officially became my go-to test dataset when training a model for the first time.
Experimental!

Default ComfyUI LoRA Loader Reports Errors, but actually applys the LoRA.


Recommended usage settings:

  1. Your favourite spot.

  2. Listen to Castle Rat as background.

  3. Enjoy!




MJ7 UPDATE:
Building each dataset is a joy, so with the release of MidJourney 7, I naturally started this one again from scratch.

This version stays true to the original aesthetic but with improved fidelity and an even stronger 80s vibe.

It’s trained on a fresh, carefully curated set of ~250 images, created by referencing the best results from the previous versions.


V3 UPDATE:
The training dataset has been further expanded to 1,000 curated images, pushing it to the limits of Civit’s on-site training capabilities.

This update include broader selection of fantasy environments, mythical creatures, and epic scenes, enhancing the fidelity to the iconic 80s fantasy aesthetic.

V2 UPDATE:
Added to the dataset a huge amount of Fantasy Characters, beasts and scenes.

Use v1 for stronger effects and v2/v3 for better versatility.

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Based on v2 Dataset.
Still Experimenting with Ernie settings, so might get better version in the future.

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V2 Dataset
The LoRA was trained for maximum effect with 0 distortions. 4k seems to be the upper limit for this for the quality/size of the V2 Dataset.
Training on bigger datasets with ZBase seems to be a little bit troublesome.

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Trained on the V2 Dataset in AI Toolkit.
Used different approach when I trained this version - the main difference is that 1000 steps of \"High Noise Only\" training was done at the end of the process.

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Trained on the V2 Dataset with default Settings in AI Toolkit.
You can up the Strength to 1.5 without issues.
I have enabled 1000 \"Free Trail\" Images for On Site Generation , so go Nuts :)

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Chroma version trained on the V2 Dataset .
Works better than the Original Flux V2 Flux on Chroma.

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This is one of the first Qwen LoRAs I am releasing here on civit and is trained in AI Toolkit.
It is trained in fp8.
I wanted to train as much as I can , so in the version here for some prompts you might observe Artefacts (Qwen seems to have quality issues for more detailed concepts).


To offset this issue I recommend either:
1. Start with lower strenght ~0.8.

2. Use it with lighting 4/8 steps LoRA.

It is based on the V2 Dataset.

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This is my first Wan2.2 LoRA, because it was requested by few people.
Given the rumors that Wan3 is coming soon, might be the last one :)

This is STRICTLY Text2Image. It will have almost no effect on actual video generation as it is Trained on 1 Frame with the V2 Dataset.

This is Low LoRA, so if you use Workflow that uses Both High and Low - make sure that you have attached it to the correct place.

Have fun.

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This is Trained on 1 Frame with the V2 Dataset.
Adding it if anyone uses T2I Workflows that use High and Low Wan2.2.
It can be also used as T2V, but you want to crank up the strength to 1.5 for visible effects, which can fry the video.
Produces quite decent results as a I2V, if you add as a starting point an Image produced with just the Low noise LoRA in a T2I workflow.

Have fun.

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This model is also available for generation on mage.space:
80s Fantasy Movie

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[Author's Note: This LoRA represents some of my best work, created with a carefully curated synthetic dataset following ethical AI practices. - ArsMachina (https://civitai.com/user/ArsMachina)]

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Infer and reconstruct underlying detail from soft source: sharpen edge definition, recover eye detail, lip definition, and skin texture from motion blur.\n\nOutput as professional high resolution color camera RAW image.", + "cfgScale": 1 + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/ADONIS/extra_data-vid_2899894/model_dict-mid_2529587-vid_2899894.json b/klein-9b/lora/ADONIS/extra_data-vid_2899894/model_dict-mid_2529587-vid_2899894.json new file mode 100644 index 0000000000000000000000000000000000000000..14d69051443875a36aec317bc1bf7b108764fdd1 --- /dev/null +++ b/klein-9b/lora/ADONIS/extra_data-vid_2899894/model_dict-mid_2529587-vid_2899894.json @@ -0,0 +1,557 @@ +{ + "id": 2529587, + "name": "ADONIS", + "description": "

Adonis for Flux 2 Klein 9B

Adonis is an \"upscale model\" LoKr trained using a high-resolution \"target\" dataset of men, paired with synthetic low-resolution edited copies as the \"control.\" It refines skin, hair, and anatomy details that base model often gets wrong.

How it Works

  • Edit-Only: Improves only what is already visible in the input image. Suitable for any image involving people.

  • Two-Model Generation: The model splits into two models (adonis_base and adonis_refine) that work best together:

    1. Adonis Base: Sets the image structure and color first. (first 4-6 steps)

    2. Adonis Refine: Brings out details and corrects issues from the initial steps. (final steps, 9 steps total)

Recommended Prompt

This prompt enhances most images effectively:

uhdmanscale, fully reconstruct this entire image from cellphone quality to professional high resolution color raw quality. Remove halftone dot pattern. Apply descreen filter. Eliminate periodic grid noise. Eliminate repeating noise patterns and artifacts, remove uniform diagonal line texture patterns. Reconstruct low resolution high ISO noise areas with high resolution low ISO noise textures.

Apply full detail reconstruction to all areas: background, environment, surfaces, objects, clothing, and foreground elements — render everything sharp, textured, and high fidelity.

Subject identity is locked: preserve exact facial geometry and body geometry, eye shape and color, nose and mouth shape, and expression. On skin areas, remove color blotch artifacts, normalize tone uniformity, preserve natural pore and texture detail. On hair and body hair areas, separate smeared color artifacts, restore strand separation and texture. Outside the subject's face, freely reconstruct all texture and sharpness with no restrictions.

Deblur and focus correction pass. Infer and reconstruct underlying detail from soft source: sharpen edge definition, recover eye detail, lip definition, and skin texture from motion blur. Output as professional high resolution color camera RAW image.

Note: For non-color inputs, specify object colors in the background. Replace \"color\" with \"black and white\" if you do not want to colorize the image.

ComfyUI Setup

Install these custom nodes:

Model Files & Requirements

Base Models:

Clip:

  • Qwen3-8B-GGUF

    • Use a higher quantization GGUF if VRAM is limited. FP8 tends to degrade details in eyes and fingers based on testing.

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Main and Alt is now Base & Refine


Base and Refine models are now used together, with Base setting the image and Refine finishing the details. There should be very little shifting when using the models in this way. The models have been block edited to have slightly less effect on color/saturation, as the Main and Alt version tended to undersaturate the outputs to an extreme degree. The new workflow will be posted with the changes in place.

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Main and Alt is now Base & Refine


Base and Refine models are now used together, with Base setting the image and Refine finishing the details. There should be very little shifting when using the models in this way. The models have been block edited to have slightly less effect on color/saturation, as the Main and Alt version tended to undersaturate the outputs to an extreme degree. The new workflow will be posted with the changes in place.

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v2 of Adonis is a LoKr model instead of a LoRA model.

Using a LoKr with a low scale of 4, and training images at 1024, 1280 and 1536 resolution, the model was able to learn micro skin detail and become more generalized with minimal \"grid\" artifacting like in v1.

For extremely low resolution images with prominent checkerboard artifacts, you may need to add a Gaussian blur or try a 1xDeJPG model to remove as much of that pattern as possible to get a better result.

While trained on men, both v2 models should be capable of enhancing women as well (*you may need to use an additional model for female anatomy since that is not in the current dataset)

adonis_f2k_v2_main:

* Great quality, somewhat saturated.

* Used for most images, is from a lower training step that causes little if any morphing/shifting

(precise but not always accurate with all colors/textures)

adonis_f2k_v2_alt:

* Great quality, less saturated and better texture.

* Used when the texture/detail quality is more important than shifting

(more accurate with color and texture, will shift image slightly but identity stays intact)

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v1 -
This model is edit only, training captions were simple - (ex. uhdmanscale, upscale and refine the image of the nude man with his erect penis exposed) - due to the control/target image setup and is (usually) not able to produce anything that is not already in the image.

The best prompt for this model is below:
uhdmanscale, change the cellphone quality image into a professional high resolution color camera raw image.

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2354759, + "name": "Add Clothes Klein9b", + "description": "

It adds generic clothing to people to make them sfw.

Trained specifically for Klein9b edit on 300 image pairs
It's a lokr but use it as a lora in comfyui
(lokr might not work on platforms like Draw Things¿)

Not the greatest but it's aiight

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Ahegao Face - Klein 9B/Z-Image

For the best results, use ahegao face in the prompt and pair it with descriptions like eyes crossed, tongue out, saliva dripping off tongue, to fully utilize the trained dataset.

Check my images to see varying settings that I used for both Klein 9B (Base and Distilled) and Z-Image/Z-Image-Turbo.

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"hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/AltGirls UltraReal/extra_data-vid_2722069/model_dict-mid_2421102-vid_2722069.json b/klein-9b/lora/AltGirls UltraReal/extra_data-vid_2722069/model_dict-mid_2421102-vid_2722069.json new file mode 100644 index 0000000000000000000000000000000000000000..1871311c461a86194ab2e66141920df6aae56678 --- /dev/null +++ b/klein-9b/lora/AltGirls UltraReal/extra_data-vid_2722069/model_dict-mid_2421102-vid_2722069.json @@ -0,0 +1,184 @@ +{ + "id": 2421102, + "name": "AltGirls UltraReal", + "description": "

A spin-off of my NiceGirls series, focusing on the alternative & scene aesthetic of the 2000s. Trained on genuine photos from the MySpace/DeviantArt days to capture that authentic \"memories\" look.

Now for Flux Klein (I may consider retraining it for other models in the future).

Enjoy the nostalgia trip

U can use it along with lenovo or other style loras (recommended weight 0.6)

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Solo and two person anal fingering.

", + "allowNoCredit": true, + "allowCommercialUse": "{Sell,Image,RentCivit,Rent}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 11435230, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 1421, + "thumbsUpCount": 64, + "thumbsDownCount": 0, + "commentCount": 3, + "tippedAmountCount": 0 + }, + "creator": { + "username": "socialcontagion", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/91c66ae6-975a-4b31-8989-4d3c5036e674/width=96/socialcontagion.jpeg" + }, + "tags": [ + "concept" + ], + "modelVersions": [ + { + "id": 2900347, + "index": 0, + "name": "v2.0", + "baseModel": "Flux.2 Klein 9B", + "baseModelType": "Standard", + "createdAt": "2026-04-28T04:04:43.546Z", + "publishedAt": "2026-04-28T04:18:38.823Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "description": "

Much more variety of positions, added limited ability for DP. The less a second person is in the picture the better DP works for prompting. Suggest using 9B not base for more realistic look. Still working on flexibility of this Lora. Suggest CFG 4-5, Lora strength .7, 15-20 steps, Euler Sampling. If certain prompting isn't working I have had success adding SNOFS to correct any issues, you may have to adjust CFG and Steps slightly if you do this.

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This is not v2.0 yet because DP is only semi functional. Sometimes it works after a few tries, sometimes not at all. In this version you can specify what you are trying to create by adding either Double Penetration or Anal Fingering to the prompt. Still publishing this version because the training was able to add some different solo positions, specifically laying on her side. For some reason doggystyle DP makes the man's penis comically long. If you want to try DP prompts see the examples posted for the prompting. I tried to add threesomes, but the training did not take, will try to add this to v2.0.

Recommended Settings:

Steps 40+

CFG 5-7

Euler Simple

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"publishedAt": "2026-04-09T01:49:40.583Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "description": "

High res trained model of Anal fingering both by a partner and solo. I attempted to train a woman fingering a man, but that does not work well yet. Man fingering woman, woman fingering woman, and woman fingering herself seem to work correctly a great majority of the time. Male genitalia does not show up correctly at the moment, it instead gives them female genitalia, avoid that in your prompts. In order for the Lora to work properly, must use the phrase \"penetrating her anus with (his/her finger)\". While not necessary, SNOFS helps add the little details to these images. See prompts in image posts for general language to use.

To do for V2.0:

Fix male genitalia

Increase the number of positions

Allow oral sex with anal fingering

Possible:

Male subject being fingered

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a/klein-9b/lora/AniEdit (Flux 2 Klein)/extra_data-vid_2642969/model_dict-mid_2332320-vid_2642969.json b/klein-9b/lora/AniEdit (Flux 2 Klein)/extra_data-vid_2642969/model_dict-mid_2332320-vid_2642969.json new file mode 100644 index 0000000000000000000000000000000000000000..3a694127bd2a07102e0bb73ee44274b5c47c5a0a --- /dev/null +++ b/klein-9b/lora/AniEdit (Flux 2 Klein)/extra_data-vid_2642969/model_dict-mid_2332320-vid_2642969.json @@ -0,0 +1,404 @@ +{ + "id": 2332320, + "name": "AniEdit (Flux 2 Klein)", + "description": "

A comprehensive finetune of Flux.2-Klein 4B/9B, that works on distilled versions.
Art style transfer using 4 reference images:
Workflow

Upscale any anime image, prompt at 2-4MP:
Workflow

ControlNet any single subject image:
Workflow
...And many other edit tasks: Real life to anime, change clothes, prompt new pose, change expression, hairtstyle, pupils, Compose two subjects, convert to 3d model, anthropomorphize, etc.

Dataset (1000 image pairs CONTAINS NSFW/Drawn nudity)

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Doubled the dataset.

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9B version

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You can click on the link below and try it out directly. If the effect is good, you can deploy it locally

https://www.runninghub.ai/ai-detail/2017076374867025921?inviteCode=rh-v1131

Fan benefits, register to get 1000 points, daily login 100 points, play 4090! Experience the super power of 48G!

prompt:

Preserve the subject's features and generate a high quality realistic human photograph

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The new version is for Klein9B. thanks to Klein's ultra-fast response speed, image editing has entered a new era. The training of this LORA was full of twists and turns, but I was lucky to get this version, which has completely surpassed my previous Qwen version. I call the new version \"my nano banana moment\". Friends who have experienced its performance in advance should understand what I'm talking about ( for those who are not sure, you can click here to learn more first ). I won't say more. I wish you all a great time!

Experience the A2R Sponsored Version here ( online workflow ) 👈

want contact me👇

X : @AIAVJLeo | aialeoliu@gmail.com

| 🙈🙉🙊OK, that's all

If you like my work, please like, follow, and share. This will help more people! Thank you.

English is not my native language. The above content was translated by artificial intelligence. Please forgive me if there are any inaccuracies.

Finally, have fun! AI never sleeps! Peace!

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Follow my X.com for the latest updates

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VJLeo's Private Base | Patreon

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Due to the controversial updated terms of service on Civitai, in the future, I will only release the Base version of the model. The self-used Plus version will only be shared with members on Patreon. If you are interested in this, you are welcome to join my Patreon membership

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keeping its lighting, environment, and background. remove the head from Picture 1 completely and replace it with the head from Picture 2, strictly preserving the hair, eye color, nose structure of Picture 2. copy the direction of the eye, head rotation, micro expressions from Picture 1, high quality, sharp details, 4k.\n\nDescribe the expression in Picture 1 and copy it to the new image.", + "sampler": "LCM", + "cfgScale": 1, + "negativePrompt": "bad quality, noise, blurry, worst quality, low resolution, blur, distortion, unnatural blending, cartoon, illustration, painting" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/BFS - Best Face Swap/extra_data-vid_2610018/model_dict-mid_2027766-vid_2610018.json b/klein-9b/lora/BFS - Best Face Swap/extra_data-vid_2610018/model_dict-mid_2027766-vid_2610018.json new file mode 100644 index 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The BFS (Best Face Swap) LoRA series was developed for Qwen Image Edit 2509, specialized in high-fidelity face and head replacement tasks with natural tone blending and consistent lighting.

Each version builds upon the previous one:

  • 🧠 Focus Faces: precise face swaps, keeping the original head shape and hair while transferring facial identity and expression.

  • 🧩 Focus Head: stronger head swaps, replacing the full head (including hair and pose orientation).

  • The 2 versions complement each other, one is focused on face swapping and the other is focused on head swapping.

Share your creations that do not involve public figures or individuals who have not given consent. By sharing, you will earn Buzz, and your posts directly help me improve future versions by identifying and correcting potential issues.

Important Note: If you are going to use Qwen Image Edit 2511, update your comfyui before anything else, because without it you may have problems with completely distorted or ugly images.

If this model was helpful to you in any way, please consider helping me continue creating more model for the price of a coffee.

Workflows:
Head/Face Swap Workflow - Qwen-Image-Edit-2509 | Civitai

My Custom Lightning LoRA:

Custom Lightning - Qwen Image Edit - 2511 | Qwen LoRA | Civitai

Alissonerdx/CustomLightning · Hugging Face

Test V3 here:

BFS Best Face Swap - a Hugging Face Space by Alissonerdx

Face Swap Video Tests (V1):
Face Swap - Qwen Image Edit 2509 (English)

Another important thing is to update ComfyUI. Many people are having terrible results because they haven't updated ComfyUI. The 2511 model has an architecture with a few more layers, and that's why ComfyUI needs to be updated.

About Flux 2:

I've done my best so far, but the results aren't as good as with QWEN. The base Flux 2 model can already handle head swapping, but with some difficulties. The goal of this LoRa was to try and improve that a bit, but I haven't achieved very good results. It might be a configuration issue, so here's this beta version for you to test.

Try with CFG: 8.0

PERSONAL NOTES:

The swap quality will always depend heavily on the quality of your input images. Larger, clean images with little noise or compression artifacts generally produce the best results. Keep in mind that the model always follows the quality of the body image, since it becomes the final rendered frame—so even if the face source is high-quality, a low-resolution or noisy body image will limit the outcome.

Most of the images I generate are created without using the LightX2V lighting LoRA, since I noticed that enabling it tends to make the skin appear more plastic-like and reddish, and finding the right balance requires extra tuning that I didn’t focus on. If anyone has discovered good configurations, feel free to share them in the comments of this template.

In short, using LightX2V makes the model less versatile because it operates with a fixed CFG value of 1.0. So before assuming it “didn’t work,” I recommend first testing the workflow I published without LightX2V to compare the results.

If you’re getting results with too much contrast, overly strong colors, or plastic-like textures while using LightX2V’s lightning models, try reducing the number of inference steps. For example, if you’re using the Qwen Image Edit 2509 Lightning (8 steps) model, try running it with 4 steps instead. The excessive contrast often comes from running too many steps while CFG remains fixed at 1.0.

If you encounter similar issues without using the lighting LoRA, try lowering the steps as well—e.g., from 20 down to around 16 or fewer—and reduce CFG to values like 1.2 or 1.5, which can help produce smoother, more natural results.

Another important detail: in images where the body is positioned farther from the camera, the face region becomes smaller, which can reduce swap accuracy and overall quality. This happens because the model has less pixel information to work with in that small facial area. To handle these cases, you can use my older workflow, which automatically crops the face region from the body image and performs an inpainting-like process to improve results in distant or small-face compositions.

Finally, if you notice loss of similarity between faces or poses—especially when the reference and target images differ significantly in aesthetics or angles—try increasing the strength of your head swap LoRA slightly (for instance, to 1.2 or 1.3) to restore consistency.

⚙️ BFS — “Focus Faces”

Trained on 240 image triplets (face, body, and result),
with a LoRA rank of 16 → later increased to 32,
and gradient accumulation = 2, running for 5500 steps on an NVIDIA L40S GPU.

This version produces stable and detailed face swaps, preserving expression, lighting, and gaze direction while maintaining the body’s natural look.

🔧 Model Notes

  • You don't need to use my workflow to make this lora work, if you are having problems with it use yours, it is the simple workflow of qwen image edit + lora and the inputs in the right order: face image 1, body image 2.

  • Quantization: not guaranteed to work below FP8 (avoid GGUF Q4).

  • Face mask: optional — remove if MediaPipe or Planar Overlay cause issues.

  • Pose conditioning: use MediaPipe Face Mesh or DWPose if you need more alignment control.

  • Lightning LoRA: may produce plastic-like skin, especially when mixed with other Qwen-based LoRAs.

⚙️ Recommended Settings

Samplers:

  • er_sde + beta57 / kl_optimal / ddim_uniform (best results)

  • ddim + ddim_uniform (sometimes most realistic)

  • res_2s + beta57

Don't get attached to one setting, sometimes if it doesn't work well with one, switch to another.

Precision:

  • 🧠 Best: fp16

  • ⚙️ Recommended: gguf q8 or fp8

  • ⚠️ Below fp8: noticeable degradation

Inference Tips:

  • With Qwen Image Edit 2509 Lightining LoRA → use 4 / 8 steps for fast generation.

  • Without it → use 12–20 steps, CFG 1.0–2.5 for realism.

🧬 BFS — “Focus Head”

The “Focus Head” version was trained as a continuation of Focus Face, extending the dataset and shifting focus toward full head swaps.

It was trained on a NVIDIA RTX 6000 PRO, rank 32, for 12,000 steps, using 628 image pairs (face, body, target, and sometimes pose maps generated via MediaPipe).

🔹 Training Phases

  1. Standard Face Swap – same Focus Face, focusing on facial identity.

  2. Pose-Conditioned Face Swap – added pose maps to align gaze and head angle.

  3. Full Head Swap – replaced the entire head (including hair) for stronger identity control.

After ~2000 steps, the focus moved toward head swap refinement.
At ~4000 steps, the dataset was narrowed to perfect skin-tone matches, and by the end of training,
the dataset evolved from 628 → 138 → 76 high-quality samples for final fine-tuning.

⚠️ Note:
While Focus Face can still perform standard face swaps, it’s more naturally inclined toward full head swaps due to its data balance.
This was intentional in part, but also a side-effect of dataset distribution and mixed conditioning.

⚠️ Important Notice

Do not share results involving real people, celebrities, or public figures.
Civitai’s moderation may disable posts that violate likeness or consent rules.
This model is intended only for artistic and fictional characters, educational use, and AI experimentation.

I take no responsibility for any misuse of this model. Please use it responsibly and respect all likeness rights.

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V3 introduces a new persistent-template conditioning workflow.

Unlike previous versions, which relied primarily on the identity being established from Frame 0 only, V3 uses a custom guide-video construction step that keeps the new face visible throughout the entire guide sequence.

This results in a much stronger and more persistent identity signal during inference.

You can choose between the two models I released and see which one you think is better.

Youtube Video 40 minutes in Portuguese:

LTX-2.3 Head Swap (IC LoRA)

Models:

Alissonerdx/BFS-Best-Face-Swap-Video at main

Workflow:

workflows/workflow_ltx2_head_swap_drag_and_drop_v3.0.json · Alissonerdx/BFS-Best-Face-Swap-Video at main

🙏 Acknowledgements

Special thanks to facy.ai for sponsoring the GPU used to train this model.

If you want to check their platform, you can use my referral link:

https://facy.ai/a/headswap


Because the identity reference stays visible during the full guide sequence, V3 gives the model a much more stable conditioning signal across time.

In practice, this can improve:

  • Identity consistency

  • Temporal stability

  • Resistance to identity drift

  • Facial motion continuity

  • Lip sync behavior

  • Expressive facial movement preservation

This version is especially useful for shots where the face remains visible for longer periods, or where dialogue, mouth movement, and facial acting matter more.

V3 is not just a refinement of the first-frame method. It changes the conditioning logic by giving the model access to a persistent identity template across the entire inference sequence.

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One really cool thing about this model is that you can now add information like expressions and other details bellow the original prompt, and it will add them without any problem.

[Note]

The training data file is a zip file containing a rank 64 version of LoRa, unlike the attached LoRa file which is rank 128. I advise you to test both and see which one you prefer. Rank 128 is step 3500 of the training, and rank 64 is step 3750.

If you want to take a test: SeaArt AI | BFS - Best Face Swap - Flux.2 Klein

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This release includes two variants: the 100% original, which is the direct result of training for over 5,500 steps, and a merged version, created by merging version 4 of the 2509 model with this 100% original model trained on 2511.

In my evaluation, the merged version performs better, particularly in its ability to reproduce a wider range of expressions. While it is not yet perfect, the results indicate that we are moving in the right direction.

Training Data: It's a zip file containing the other two versions of Lora.

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This version attempts to improve the cloning of facial expressions; this copy is not yet perfect, but in this version it seems to work better than the previous one.

All examples posted were made using QIE 2511.

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This is an optional version that works nicely. It was trained with only a rank of 4, meaning the LoRa is much shorter and works well in my tests. Feel free to test it and post your results here; this helps improve this LoRa.

One of the big differences in this version is the order of the face and body inputs; now you need to send the body first and then the face, unlike other versions. This was a test I was doing and it ended up this way, so it's very important to keep this in mind. In the latent form, if you're going to pass an image, pass the body image or an empty latent form.

The trigger should be this: \"head_swap: start with Picture 1 as the base image, keeping its lighting, environment, and background. remove the head from Picture 1 completely and replace it with the head from Picture 2. ensure the head and body have correct anatomical proportions, and blend the skin tones, shadows, and lighting naturally so the final result appears as one coherent, realistic person.\"

Note: Often the size of the head depends on the input image, so keep that in mind.

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I tried my best, the results aren't as good as with QWEN. The base flux model can already do head swapping, but with some difficulties. The goal of this LoRa was to try and improve that a bit, but I couldn't achieve a very good result. It might be some configuration issue, so here's this beta for you to test.

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this lora adds a slight aesthetics.

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Z-Image Base

Hello! This time I decided to create a new version of my LoRA for Z-image.

Large uncut penises. Unfortunately, I couldn’t find a sufficiently detailed and high-quality LoRA for the Z-image base model, so I decided to train my own. It was a meticulous process. I gathered around 4,000 images for training and rented a server for it. And here is the result.

I’m planning to create a similar LoRA for Flux 2 Klein, as well as other LoRAs focused on male anatomy and gay sex.

If you have any ideas or would like me to train a LoRA for you, I can do it for a reasonable fee - message me on Telegram @lolkagyr

There’s also a donation link for those who would like to support the project. It will help cover server rental costs and the creation of new LoRAs.

https://ko-fi.com/paulopaulol

https://donatello.to/pavlo_kliuchanskyi

FLUX

A LoRA for uncut penises, trained on a dataset of 500+ images with different angles and close-ups.
The goal was to teach FLUX to generate massive uncut variants with realistic texture and anatomical detail.

The results so far are stable, although there are a few common FLUX-related glitches (for example, the penis sometimes appears in the wrong place or separately in the hand). I plan to continue training and improving quality in the future.

Works best at LoRA weight 0.7–1.0.


https://ko-fi.com/paulopaulol


I train on a GPU with limited power, so the process takes a lot of time.
If you like my work and want to support further improvements, I’d appreciate a subscription on Patreon or a donation. All support goes towards upgrading my GPU to create even better models.

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Weight: 1.0

Steps: 6

❤️ If you like my models, please support me by sending buzz.⚡

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Butthole Control

  • NEVER use term \"Anus\" always use term \"butthole\"

  • Will not work with all LORA's

  • Primary use case is close up or with my YOLO anus detection for image to image

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Loras/extra_data-vid_2899805/model_dict-mid_2581155-vid_2899805.json @@ -0,0 +1,308 @@ +{ + "id": 2581155, + "name": "CRZ Klein9b Loras", + "description": "

Dont waste your buzz, I dont do civit stuff.
Just sharing my own personal loras Ive been experimenting with.

Nsfw Upscale

Edit lora: 1 input image

Specifically for high frequency details.
Trained on high quality nsfw explicit images.

Trigger: enhance

Edit: workflow is outdated, will update it soon, check comment by other user below

Required:
Add the LTXVpreprocess node, it adds a predictable artifact to the image, that this lora was trained on to fix (native comfy node). ImageScaleToTotalPixels to --> 2MP.

There should be a workflow embedded in the image. Pretty straightforward though

Nsfw Transfer Head

Edit lora: 2 input images

V1

A somewhat better head swap lora for nsfw.
Female centric.
Trained on various viewing angles with some facial expressions.
But it seems that klein just struggles with understanding erotic expression in general soo.. dont expect too much.

Trigger: transfer head
Full caption it was trained on: transfer head into the same position and location with the correct size while retaining the original emotion and expression

V1.1

Removed some junk from dataset and retrained with better params

Trigger: transfer head

Actually found that mentioning expression or emotion is bad because it triggers the base model to override the lora with dumb shit

Nsfw Forbidden Lora

Edit lora: 1 input image

Its a lokr. Old one from when I was playing with lokr's.
Female centric.
Trigger is in the caption details.

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit,Rent,Sell}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 744025, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 1445, + "thumbsUpCount": 52, + "thumbsDownCount": 0, + "commentCount": 6, + "tippedAmountCount": 80 + }, + "creator": { + "username": "_crz_", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f2c27521-cb71-44c6-922a-f1dada011a27/width=96/_crz_.jpeg" + }, + "tags": [ + "concept" + ], + "modelVersions": [ + { + "id": 2899805, + "index": 0, + "name": "Nsfw Upscale V1", + "baseModel": "Flux.2 Klein 9B", + "baseModelType": "Standard", + "createdAt": "2026-04-27T23:05:30.529Z", + "publishedAt": "2026-04-28T00:01:41.665Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "trainedWords": [ + "enhance" + ], + "covered": true, + "stats": { + "downloadCount": 637, + "thumbsUpCount": 49, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2777808, + "sizeKB": 266293.7265625, + "name": "klein9b_nsfw_upscale_v1.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-04-27T23:40:45.468Z", + "metadata": { + "format": "SafeTensor", + "isRequired": false + }, + "hashes": { + "AutoV1": "3E3D1730", + "AutoV2": "836B214974", + "SHA256": "836B214974EBA57987CE73F677B2694A974A4B61F6B8DFFAC4B93263895DE564", + "CRC32": "23484BDC", + "BLAKE3": "3D05A495B55B93A06A67C5EC4E8053317DB30F3804E0649CA9108D9FD715464F", + "AutoV3": "252E102679C7" + }, + "downloadUrl": "https://civitai.com/api/download/models/2899805", + "primary": true + } + ], + "images": [ + { + "url": 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[ + "transfer head" + ], + "covered": true, + "stats": { + "downloadCount": 151, + "thumbsUpCount": 8, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2793016, + "sizeKB": 161820.734375, + "name": "klein9b_nsfw_transferhead_v1.1.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-05-03T09:40:52.190Z", + "metadata": { + "format": "SafeTensor", + "isRequired": false + }, + "hashes": { + "AutoV1": "B50C3C94", + "AutoV2": "E417504DBE", + "SHA256": "E417504DBEF45DB148C010C2C96F58ACAEFB2C37A8735625E4950606B2A7D718", + "CRC32": "439F8D2D", + "BLAKE3": "642ABE1623B91E98AD9811718BB64A2688696048918EBBFC74528BF4E5EA190D", + "AutoV3": "9D92F21508B3" + }, + "downloadUrl": "https://civitai.com/api/download/models/2914766", + "primary": true + } + ], + "images": [ + { + "url": 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"Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-05-02T10:55:36.396Z", + "metadata": { + "format": "SafeTensor", + "isRequired": false + }, + "hashes": { + "AutoV1": "C0D43717", + "AutoV2": "FA8652314C", + "SHA256": "FA8652314C1939C7CA9589CB7858B4BB6B8CC36E7BBBFDEC2E175548C4DCEAF4", + "CRC32": "C34684C4", + "BLAKE3": "671151FDB6B1B050ECD05006D5B3569621E4E641368DC6E8A1CD5435F0867956", + "AutoV3": "74C970E91C2F" + }, + "downloadUrl": "https://civitai.com/api/download/models/2911942", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/06cc45ce-dcd8-42e3-8b5e-374e3483740d/original=true/129365511.jpeg", + "nsfwLevel": 8, + "width": 832, + "height": 1248, + "hash": "UGMiT7GE?~rF}a1Gt%{l0}ML7]%K?GruOnMz", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2911942" + } + ] +} \ No newline at end of file diff --git a/klein-9b/lora/CRZ Klein9b Loras/extra_data-vid_2911942/model_dict-mid_2581155-vid_2911942.json b/klein-9b/lora/CRZ Klein9b Loras/extra_data-vid_2911942/model_dict-mid_2581155-vid_2911942.json new file mode 100644 index 0000000000000000000000000000000000000000..05cf2102598fb2070d21b5a9c863026b10837935 --- /dev/null +++ b/klein-9b/lora/CRZ Klein9b Loras/extra_data-vid_2911942/model_dict-mid_2581155-vid_2911942.json @@ -0,0 +1,308 @@ +{ + "id": 2581155, + "name": "CRZ Klein9b Loras", + "description": "

Dont waste your buzz, I dont do civit stuff.
Just sharing my own personal loras Ive been experimenting with.

Nsfw Upscale

Edit lora: 1 input image

Specifically for high frequency details.
Trained on high quality nsfw explicit images.

Trigger: enhance

Edit: workflow is outdated, will update it soon, check comment by other user below

Required:
Add the LTXVpreprocess node, it adds a predictable artifact to the image, that this lora was trained on to fix (native comfy node). ImageScaleToTotalPixels to --> 2MP.

There should be a workflow embedded in the image. Pretty straightforward though

Nsfw Transfer Head

Edit lora: 2 input images

V1

A somewhat better head swap lora for nsfw.
Female centric.
Trained on various viewing angles with some facial expressions.
But it seems that klein just struggles with understanding erotic expression in general soo.. dont expect too much.

Trigger: transfer head
Full caption it was trained on: transfer head into the same position and location with the correct size while retaining the original emotion and expression

V1.1

Removed some junk from dataset and retrained with better params

Trigger: transfer head

Actually found that mentioning expression or emotion is bad because it triggers the base model to override the lora with dumb shit

Nsfw Forbidden Lora

Edit lora: 1 input image

Its a lokr. Old one from when I was playing with lokr's.
Female centric.
Trigger is in the caption details.

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit,Rent,Sell}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 744025, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 1445, + "thumbsUpCount": 52, + "thumbsDownCount": 0, + "commentCount": 6, + "tippedAmountCount": 80 + }, + "creator": { + "username": "_crz_", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f2c27521-cb71-44c6-922a-f1dada011a27/width=96/_crz_.jpeg" + }, + "tags": [ + "concept" + ], + "modelVersions": [ + { + "id": 2899805, + "index": 0, + "name": "Nsfw Upscale V1", + "baseModel": "Flux.2 Klein 9B", + "baseModelType": "Standard", + "createdAt": "2026-04-27T23:05:30.529Z", + "publishedAt": "2026-04-28T00:01:41.665Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "trainedWords": [ + "enhance" + ], + "covered": true, + "stats": { + "downloadCount": 637, + "thumbsUpCount": 49, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2777808, + "sizeKB": 266293.7265625, + "name": "klein9b_nsfw_upscale_v1.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-04-27T23:40:45.468Z", + "metadata": { + "format": "SafeTensor", + "isRequired": false + }, + "hashes": { + "AutoV1": "3E3D1730", + "AutoV2": "836B214974", + "SHA256": "836B214974EBA57987CE73F677B2694A974A4B61F6B8DFFAC4B93263895DE564", + "CRC32": "23484BDC", + "BLAKE3": "3D05A495B55B93A06A67C5EC4E8053317DB30F3804E0649CA9108D9FD715464F", + "AutoV3": "252E102679C7" + }, + "downloadUrl": "https://civitai.com/api/download/models/2899805", + "primary": true + } + ], + "images": [ + { + "url": 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Dont waste your buzz, I dont do civit stuff.
Just sharing my own personal loras Ive been experimenting with.

Nsfw Upscale

Edit lora: 1 input image

Specifically for high frequency details.
Trained on high quality nsfw explicit images.

Trigger: enhance

Edit: workflow is outdated, will update it soon, check comment by other user below

Required:
Add the LTXVpreprocess node, it adds a predictable artifact to the image, that this lora was trained on to fix (native comfy node). ImageScaleToTotalPixels to --> 2MP.

There should be a workflow embedded in the image. Pretty straightforward though

Nsfw Transfer Head

Edit lora: 2 input images

V1

A somewhat better head swap lora for nsfw.
Female centric.
Trained on various viewing angles with some facial expressions.
But it seems that klein just struggles with understanding erotic expression in general soo.. dont expect too much.

Trigger: transfer head
Full caption it was trained on: transfer head into the same position and location with the correct size while retaining the original emotion and expression

V1.1

Removed some junk from dataset and retrained with better params

Trigger: transfer head

Actually found that mentioning expression or emotion is bad because it triggers the base model to override the lora with dumb shit

Nsfw Forbidden Lora

Edit lora: 1 input image

Its a lokr. Old one from when I was playing with lokr's.
Female centric.
Trigger is in the caption details.

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She is wearing form-fitting white ribbed athletic wear that accentuates her curves high-waisted leggings and a cropped top pulled up to expose her ample cleavage, creating a striking cameltoe effect as the fabric clings tightly around her hips and thighs. Her left hand lifts at the neckline of the crop top, while her right arm rests near her hip, revealing gold bracelets on one wrist and a black smartwatch on the other. The setting appears to be indoors with soft lighting against textured walls in muted tones. \\n\", \"speak_and_recognation\": true, \"clip\": [\"92\", 0]}, \"class_type\": \"CLIPTextEncode\", \"_meta\": {\"title\": \"CLIP Text Encode (Positive Prompt)\"}}, \"97\": {\"inputs\": {\"steps\": 4, \"width\": [\"88\", 0], \"height\": [\"89\", 0]}, \"class_type\": \"Flux2Scheduler\", \"_meta\": {\"title\": \"Flux2Scheduler\"}}, \"98\": {\"inputs\": {\"rgthree_comparer\": {\"images\": [{\"name\": \"A1\", \"selected\": false, \"url\": \"/api/view?filename=rgthree.compare._temp_clmxr_00049_.png&type=temp&subfolder=&preview=png&rand=0.6187558088550023\"}, {\"name\": \"A2\", \"selected\": true, \"url\": \"/api/view?filename=rgthree.compare._temp_clmxr_00050_.png&type=temp&subfolder=&preview=png&rand=0.6036133401837401\"}, {\"name\": \"B1\", \"selected\": false, \"url\": \"/api/view?filename=rgthree.compare._temp_clmxr_00051_.png&type=temp&subfolder=&preview=png&rand=0.19873798836513512\"}, {\"name\": \"B2\", \"selected\": true, \"url\": \"/api/view?filename=rgthree.compare._temp_clmxr_00052_.png&type=temp&subfolder=&preview=png&rand=0.7738651839274445\"}]}, \"image_a\": [\"113\", 0], \"image_b\": [\"86\", 0]}, \"class_type\": \"Image Comparer (rgthree)\", \"_meta\": {\"title\": \"Image Comparer (rgthree)\"}}, \"99\": {\"inputs\": {\"output_path\": \"output4/[time(%Y-%m-%d)]\", \"filename_prefix\": \"ComfyUI\", \"filename_delimiter\": \"_\", \"filename_number_padding\": 4, \"filename_number_start\": \"false\", \"extension\": \"png\", \"dpi\": 300, \"quality\": 80, \"optimize_image\": \"true\", \"lossless_webp\": \"false\", \"overwrite_mode\": \"false\", \"show_history\": \"false\", \"show_history_by_prefix\": \"true\", \"embed_workflow\": \"true\", \"show_previews\": \"true\", \"images\": [\"113\", 0]}, \"class_type\": \"Image Save\", \"_meta\": {\"title\": \"Image Save\"}}, \"100\": {\"inputs\": {\"model\": \"seedvr2_ema_7b_fp8_e4m3fn_mixed_block35_fp16.safetensors\", \"device\": \"cuda:0\", \"blocks_to_swap\": 0, \"swap_io_components\": false, \"offload_device\": \"none\", \"cache_model\": false, \"attention_mode\": \"sdpa\"}, \"class_type\": \"SeedVR2LoadDiTModel\", \"_meta\": {\"title\": \"SeedVR2 (Down)Load DiT Model\"}}, \"101\": {\"inputs\": {\"model\": \"ema_vae_fp16.safetensors\", \"device\": \"cuda:0\", \"encode_tiled\": false, \"encode_tile_size\": 1024, \"encode_tile_overlap\": 128, \"decode_tiled\": false, \"decode_tile_size\": 1024, \"decode_tile_overlap\": 128, \"tile_debug\": \"false\", \"offload_device\": \"none\", \"cache_model\": false}, \"class_type\": \"SeedVR2LoadVAEModel\", \"_meta\": {\"title\": \"SeedVR2 (Down)Load VAE Model\"}}, \"102\": {\"inputs\": {\"seed\": 1430532450, \"resolution\": 1080, \"max_resolution\": 0, \"batch_size\": 1, \"uniform_batch_size\": false, \"color_correction\": \"lab\", \"temporal_overlap\": 0, \"prepend_frames\": 0, \"input_noise_scale\": 0.0, \"latent_noise_scale\": 0.0, \"offload_device\": \"cuda:0\", \"enable_debug\": false, \"image\": [\"103\", 0], \"dit\": [\"100\", 0], \"vae\": [\"101\", 0]}, \"class_type\": \"SeedVR2VideoUpscaler\", \"_meta\": {\"title\": \"SeedVR2 Video Upscaler (v2.5.24)\"}}, \"103\": {\"inputs\": {\"empty_cache\": false, \"gc_collect\": false, \"unload_all_models\": true, \"any_input\": [\"86\", 0]}, \"class_type\": \"VRAM_Debug\", \"_meta\": {\"title\": \"VRAM Debug\"}}, \"104\": {\"inputs\": {\"images\": [\"86\", 0]}, \"class_type\": \"PreviewImage\", \"_meta\": {\"title\": \"Preview Image\"}}, \"105\": {\"inputs\": {\"dimensions\": \"Custom 1 - 1024x720\", \"invert\": true, \"batch_size\": 1}, \"class_type\": \"EmptyLatentImageCustomPresets\", \"_meta\": {\"title\": \"Size Presets\"}}, \"112\": {\"inputs\": {\"lora_name\": \"flux2\\\\cameltoe_klein.safetensors\", \"strength_model\": 1.0, \"model\": [\"91\", 0]}, \"class_type\": \"LoraLoaderModelOnly\", \"_meta\": {\"title\": \"LoraLoaderModelOnly\"}}, \"113\": {\"inputs\": {\"size\": [\"105\", 2], \"interpolation_mode\": \"bicubic\", \"image\": [\"102\", 0]}, \"class_type\": \"JWImageResizeByLongerSide\", \"_meta\": {\"title\": \"Image Resize by Longer Side\"}}}, \"workflow\": {\"id\": \"cb84e10e-4ff0-42c5-8174-ba5db2d732f1\", \"revision\": 0, \"last_node_id\": 113, \"last_link_id\": 207, \"nodes\": [{\"id\": 79, \"type\": \"MarkdownNote\", \"pos\": [-710, 340], \"size\": [550, 530], \"flags\": {}, \"order\": 0, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {\"widget_ue_connectable\": {}}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8)\\n- [flux-2-klein-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the models.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u251c\\u2500\\u2500 flux-2-klein-9b-fp8.safetensors\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 flux-2-klein-base-9b-fp8.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. Desktop/Cloud ship stable builds; nightly-supported models may not be included yet, please wait for the next stable release.\\n\\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\\n\\n\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 85, \"type\": \"SamplerCustomAdvanced\", \"pos\": [1513.7966605416605, 311.062227192752], \"size\": [212.3638671875, 106], \"flags\": {}, \"order\": 17, \"mode\": 0, \"inputs\": [{\"name\": \"noise\", \"type\": \"NOISE\", \"link\": 164}, {\"name\": \"guider\", \"type\": \"GUIDER\", \"link\": 165}, {\"name\": \"sampler\", \"type\": \"SAMPLER\", \"link\": 166}, {\"name\": \"sigmas\", \"type\": \"SIGMAS\", \"link\": 167}, {\"name\": \"latent_image\", \"type\": \"LATENT\", \"link\": 168}], 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1024x720\", \"invert\": true, \"batch_size\": 1}, \"class_type\": \"EmptyLatentImageCustomPresets\", \"_meta\": {\"title\": \"Size Presets\"}}, \"112\": {\"inputs\": {\"lora_name\": \"flux2\\\\cameltoe_klein.safetensors\", \"strength_model\": 1.0, \"model\": [\"91\", 0]}, \"class_type\": \"LoraLoaderModelOnly\", \"_meta\": {\"title\": \"LoraLoaderModelOnly\"}}, \"113\": {\"inputs\": {\"size\": [\"105\", 2], \"interpolation_mode\": \"bicubic\", \"image\": [\"102\", 0]}, \"class_type\": \"JWImageResizeByLongerSide\", \"_meta\": {\"title\": \"Image Resize by Longer Side\"}}}, \"workflow\": {\"id\": \"cb84e10e-4ff0-42c5-8174-ba5db2d732f1\", \"revision\": 0, \"last_node_id\": 113, \"last_link_id\": 207, \"nodes\": [{\"id\": 79, \"type\": \"MarkdownNote\", \"pos\": [-710, 340], \"size\": [550, 530], \"flags\": {}, \"order\": 0, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {\"widget_ue_connectable\": {}}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8)\\n- [flux-2-klein-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the models.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u251c\\u2500\\u2500 flux-2-klein-9b-fp8.safetensors\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 flux-2-klein-base-9b-fp8.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. Desktop/Cloud ship stable builds; nightly-supported models may not be included yet, please wait for the next stable release.\\n\\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\\n\\n\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 85, \"type\": \"SamplerCustomAdvanced\", \"pos\": [1513.7966605416605, 311.062227192752], \"size\": [212.3638671875, 106], \"flags\": {}, \"order\": 17, \"mode\": 0, \"inputs\": [{\"name\": \"noise\", \"type\": \"NOISE\", \"link\": 164}, {\"name\": \"guider\", \"type\": \"GUIDER\", \"link\": 165}, {\"name\": \"sampler\", \"type\": \"SAMPLER\", \"link\": 166}, {\"name\": \"sigmas\", \"type\": \"SIGMAS\", \"link\": 167}, {\"name\": \"latent_image\", \"type\": \"LATENT\", \"link\": 168}], \"outputs\": [{\"name\": \"output\", \"type\": \"LATENT\", \"links\": [169]}, {\"name\": \"denoised_output\", \"type\": \"LATENT\", \"links\": []}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"Node name for S&R\": \"SamplerCustomAdvanced\", \"widget_ue_connectable\": {}, \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": []}, {\"id\": 88, \"type\": \"PrimitiveInt\", \"pos\": [337.79666054166046, 871.062227192752], \"size\": [270, 82], \"flags\": {}, \"order\": 1, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"name\": \"INT\", \"type\": \"INT\", \"links\": [160]}], \"title\": \"Width\", \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"Node name for S&R\": \"PrimitiveInt\", \"widget_ue_connectable\": {}, \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": 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Leave a like 👍

Model for adding cameltoe outline to women bottoms.

Works between 0.5 and 1.

Trained on flux-2-klein-9b-base, tested for both flux-2-klein-9b and flux-2-klein-9b-base

Examples made on flux-2-klein-9b, res2, seed, lora strength 1. Workflows are imbedded in the images

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Triggers

  • Cameltoe

  • The shape of her pussy is clearly visible through her [clothing | panties | etc]

LTX-2 Model of Mickey Mouse: https://civitai.com/models/2325307/the-mouse?modelVersionId=2615823

https://ko-fi.com/playtime_ai

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Lora/extra_data-vid_2634354/model_dict-mid_1939453-vid_2634354.json @@ -0,0 +1,419 @@ +{ + "id": 1939453, + "name": "Consistance Edit Lora", + "description": "

HuggingFace:

https://huggingface.co/lrzjason/Consistance_Edit_Lora

RH:

https://www.runninghub.ai/model/public/2010085010870640641?inviteCode=rh-v1279

Custom_node:

https://github.com/lrzjason/Comfyui-QwenEditUtils

QE2511 Alpha is trained on QwenEdit 2511.

As same as previous lora, this lora helps to maintain image consistence.

The lora is trained using nf4 qlora.

V2 lora is trained for QwenEditPlus aka QwenImage Edit (2509)

It is recommanded to use with strength between 0.5 ~1.0 for multiple images

0~0.5 for single image

It needs to use with workflow v4.0 https://civitai.com/models/1939540

RH workflow:

QwenEdit Consistence Edit workflow v4.0

Experience link: https://www.runninghub.ai/post/1965033238311915522/?inviteCode=rh-v1279

QwenEdit Consistence Edit workflow v2.0

Solved pixels shift issue and keep qwenvl encode image ability.

RH workflow:

QwenEdit Consistence Edit workflow v2.0

Experience link: https://www.runninghub.ai/post/1965033238311915522/?inviteCode=rh-v1279

Trained with no ref image into qwenvl.

This lora typical to test the consistency with kontext like workflow.

It is suggested to use 0.45~0.5 lora stregth

Workflow:

https://civitai.com/models/1939540/qwenedit-consistance-edit-workflow

RH workflow:

It's extremely fun and I highly recommend it to you!

Workflow: QwenEdit Consistence Edit workflow

Experience link: https://www.runninghub.ai/post/1965033238311915522/?inviteCode=rh-v1279

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Klein 4B Consistency Lora

This lora inspired by ByteDance Heilos Easy Anti-Drifting method.

I implemented Frame-Aware Corrupt (Reference Latent Corrupt) latent and Color Statistics Loss.

In additionally, I use frequence split dataset which created by converting an image into frequence domain and split it into high freq image and low freq image.

Reference: low freq image, high freq image (0.8 dropout rate on high freq image)

Target: clean image

lr: 2e-4

scheduler: cosine

optimizer: adamw8bit

steps: 6000

Suggested Prompt:

{edit prompt}. Transform the image to realistic photograph. add realistic details to the corrupted image. restore high frequence details from the corrupted image.

Suggested Strength:

0.5-0.7

Trained on 4B based. This lora aims to preserve image consistence across multiple input images. Control the lora via lora strength.

More strength means more consistence but it would also hurt edit abilities.

Different image might has different optimal lora strength.

Flux2 Klein 9B Consist Lora

HuggingFace:

https://huggingface.co/lrzjason/Consistance_Edit_Lora

Klein 9B Consis Lora

Suggested Prompt:

restore image details

Flux2 Klein 9B Consis Lora

Trained on 9B based. This lora aims to preserve image consistence across multiple input images. Control the lora via lora strength.

Suggested strength: 0.2~1.5

Use with any prompts.

More strength means more consistence but it would also hurt edit abilities.

Different image might has different optimal lora strength.

RH:

https://www.runninghub.ai/post/2016109710943981570/?inviteCode=rh-v1279

======================QE2511================================

RH:

https://www.runninghub.ai/model/public/2010085010870640641?inviteCode=rh-v1279

Custom_node:

https://github.com/lrzjason/Comfyui-QwenEditUtils

QE2511 Alpha is trained on QwenEdit 2511.

As same as previous lora, this lora helps to maintain image consistence.

The lora is trained using nf4 qlora.

V2 lora is trained for QwenEditPlus aka QwenImage Edit (2509)

It is recommanded to use with strength between 0.5 ~1.0 for multiple images

0~0.5 for single image

It needs to use with workflow v4.0 https://civitai.com/models/1939540

RH workflow:

QwenEdit Consistence Edit workflow v4.0

Experience link: https://www.runninghub.ai/post/1965033238311915522/?inviteCode=rh-v1279

QwenEdit Consistence Edit workflow v2.0

Solved pixels shift issue and keep qwenvl encode image ability.

RH workflow:

QwenEdit Consistence Edit workflow v2.0

Experience link: https://www.runninghub.ai/post/1965033238311915522/?inviteCode=rh-v1279

Trained with no ref image into qwenvl.

This lora typical to test the consistency with kontext like workflow.

It is suggested to use 0.45~0.5 lora stregth

Workflow:

https://civitai.com/models/1939540/qwenedit-consistance-edit-workflow

RH workflow:

It's extremely fun and I highly recommend it to you!

Workflow: QwenEdit Consistence Edit workflow

Experience link: https://www.runninghub.ai/post/1965033238311915522/?inviteCode=rh-v1279

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\"class_type\": \"UNETLoader\", \"_meta\": {\"title\": \"Load Diffusion Model\"}}, \"92:71\": {\"inputs\": {\"clip_name\": \"qwen_3_8b_fp8mixed.safetensors\", \"type\": \"flux2\", \"device\": \"default\"}, \"class_type\": \"CLIPLoader\", \"_meta\": {\"title\": \"Load CLIP\"}}, \"92:90\": {\"inputs\": {\"lora_name\": \"KleinBase9B_PoseTransfe.safetensors\", \"strength_model\": 1.0, \"strength_clip\": 1.0, \"model\": [\"92:70\", 0], \"clip\": [\"92:71\", 0]}, \"class_type\": \"LoraLoader\", \"_meta\": {\"title\": \"Load LoRA (Model and CLIP)\"}}}, \"workflow\": {\"id\": \"07275fdf-2615-4f88-baeb-e1674a759fdc\", \"revision\": 0, \"last_node_id\": 106, \"last_link_id\": 210, \"nodes\": [{\"id\": 97, \"type\": \"MarkdownNote\", \"pos\": [-750, 830], \"size\": [610, 650], \"flags\": {}, \"order\": 0, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the fp8 model.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first 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Desktop/Cloud ship stable builds; nightly-supported models may not be included yet, please wait for the next stable release.\\n\\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\\n\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 99, \"type\": \"MarkdownNote\", \"pos\": [490, 690], \"size\": [210, 88], \"flags\": {}, \"order\": 1, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"title\": \"Note\", \"properties\": {}, \"widgets_values\": [\"Click on the top-right corner of the node to open the [subgraph](https://docs.comfy.org/interface/features/subgraph) \\n\\ud83d\\udc47\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 103, \"type\": \"ImageStitch\", \"pos\": [906.5817922801916, 896.3145601644727], \"size\": 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text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. Desktop/Cloud ship stable builds; nightly-supported models may not be included yet, please wait for the next stable release.\\n\\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\\n\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 99, \"type\": \"MarkdownNote\", \"pos\": [490, 690], \"size\": [210, 88], \"flags\": {}, \"order\": 1, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"title\": \"Note\", \"properties\": {}, \"widgets_values\": [\"Click on the top-right corner of the node to open the [subgraph](https://docs.comfy.org/interface/features/subgraph) \\n\\ud83d\\udc47\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 103, \"type\": \"ImageStitch\", \"pos\": [906.5817922801916, 896.3145601644727], \"size\": 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\"Flux2Scheduler\"}}, \"92:73\": {\"inputs\": {\"noise_seed\": 0}, \"class_type\": \"RandomNoise\", \"_meta\": {\"title\": \"RandomNoise\"}}, \"92:70\": {\"inputs\": {\"unet_name\": \"flux-2-klein-base-9b-fp8.safetensors\", \"weight_dtype\": \"default\"}, \"class_type\": \"UNETLoader\", \"_meta\": {\"title\": \"Load Diffusion Model\"}}, \"92:71\": {\"inputs\": {\"clip_name\": \"qwen_3_8b_fp8mixed.safetensors\", \"type\": \"flux2\", \"device\": \"default\"}, \"class_type\": \"CLIPLoader\", \"_meta\": {\"title\": \"Load CLIP\"}}, \"92:90\": {\"inputs\": {\"lora_name\": \"KleinBase9B_PoseTransfe.safetensors\", \"strength_model\": 1.0, \"strength_clip\": 1.0, \"model\": [\"92:70\", 0], \"clip\": [\"92:71\", 0]}, \"class_type\": \"LoraLoader\", \"_meta\": {\"title\": \"Load LoRA (Model and CLIP)\"}}}, \"workflow\": {\"id\": \"07275fdf-2615-4f88-baeb-e1674a759fdc\", \"revision\": 0, \"last_node_id\": 106, \"last_link_id\": 210, \"nodes\": [{\"id\": 97, \"type\": \"MarkdownNote\", \"pos\": [-750, 830], \"size\": [610, 650], \"flags\": {}, \"order\": 0, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the fp8 model.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. 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Changes the pose and framing of a character displayed in Image 1 to instead match the one provided in Image 2.

It will attempt to use what is already provided in the original image, but if the original lacks a required element, it will insert what is required. For example, if the target pose depicts someone drinking a beverage, they will be holding a beverage that was on the table of the original image, but if the original image didn't have one, then it will create a new beverage for them to hold.

For best results, try to have comparable framing, camera angle, and number of subjects in both images.

change the actions and poses in Image 1 to match those in Image 2

There is sometimes some subject bleed in Qwen and Klein 9B, so I will probably revisit those to make a V2. Klein 4B is significantly more stable.

Model Comparisons:

  • Copy Pose will preserve the subject and background in Control 1, while bringing the framing/pose of Control 2

  • Replace Subject will preserve the framing/pose and background in Control 1, while bringing the subject of Control 2

  • Replace Scene will preserve the subject and pose in Control 1, while bringing the background scene of Control 2

California AB 2013 Training Data Disclosure

  • This LoRA was fine-tuned using visual data consisting entirely of synthetic still images. The training data may include copyrighted material owned by third parties. No training data was licensed or purchased. This LoRA is provided for non-commercial use only under the terms of its distribution.

  • The dataset consists of 538 image sets (1614 images total). Each set was created by generating an image, using ControlNet to create a matching duplicate (for use as Control 2 and Target), then using Qwen Edit 2509 to change both images to be different (for use as Control 1), resulting in four images that can be used as two sets (two images are used in both sets). Low quality sets were then culled prior to training. Dataset was created in 2026.

  • Image data was processed through standard resizing, cropping, normalization, and labeling steps. Synthetic images were included as part of the training dataset.

  • This model is intended for non-commercial, experimental, and educational use. Generated outputs may reflect copyrighted visual styles or themes associated with the underlying training data. Users are responsible for ensuring compliance with applicable copyright law, other intellectual property laws, and all other applicable laws.

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Cum Anywhere Concept

  • LLM can be prompted for location, amount, mixtures etc.

  • Additional LORA's for nudity or NSFW recommend as this LORA is primarily for fixing semen/cum triggers and training them across a very wide dataset.

  • Primary training is cum on face, mouth and breast, however the concept was learned well across the model

Note: Semen and Cum are both trigger words but can drastically change the image seed to seed.

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Probably the only cumshot lora you will ever need. 💦💦

Weight: 0.8-0.6

Trigger words:

good enough: cum on her face, semen on her face,

heavy: her face is covered with semen

Specific Areas: cum in mouth, cum on lips, cum on chest, cum dripping from chin etc.

For more realistic look try higher 1.5k or 2k resolution.

❤️ If you like my models, please support me by sending buzz.⚡

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+ "name": "Cum on Face Klein 9B", + "description": "

Perfect LoRA to cover anything you want with a glaze. Perfect for image editing.

Example prompts:

a little cum on face
cum on her face

It shouldn’t change the features of the reference photo. If it does, regenerate and increase the steps to 6.

Version B is slightly different from version A, but it can generate different types of glaze. However, in edit mode it sometimes tends to change the expression (mouth, eyes, etc.). Try both and decide.

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Same base as version A, but it can generate different types of glaze. However, in edit mode it sometimes tends to change the expression (mouth, eyes, etc.). Try both and decide.

", + "covered": true, + "stats": { + "downloadCount": 756, + "thumbsUpCount": 28, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2519573, + "sizeKB": 161820.6875, + "name": "cum on face 2_000003000.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-01-26T14:35:34.761Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "9A9F7AD1", + "AutoV2": "6EF05273BB", + "SHA256": "6EF05273BB982BF1134FED65A5D2AE09E05C6E0C287E1E721C4A90B64C8BC15F", + "CRC32": "34A9BF2D", + "BLAKE3": "E4914B20A8E0A42D612510FF55A0E62F760FB82E97C86705B26799490336C3BD", + "AutoV3": "1BB73D122C1B" + }, + "downloadUrl": "https://civitai.com/api/download/models/2631784", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/3a01bebf-8ee1-4c6f-9e79-8b740d540014/original=true/118841877.jpeg", + "nsfwLevel": 16, + "width": 820, + "height": 1093, + "hash": "UpK1%fxu~qjs?bayj[aeWBazIUof?bayV[ay", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2631784" + } + ] +} \ No newline at end of file diff --git a/klein-9b/lora/Cum on clothes & wet cum stains (klein 9b)/FK_cumonclothes-mid_2563887-vid_2880994.csv b/klein-9b/lora/Cum on clothes & wet cum stains (klein 9b)/FK_cumonclothes-mid_2563887-vid_2880994.csv new file mode 100644 index 0000000000000000000000000000000000000000..897901cf590b0f5c81034b73ed0f4883a40c4e29 --- /dev/null +++ b/klein-9b/lora/Cum on clothes & wet cum stains (klein 9b)/FK_cumonclothes-mid_2563887-vid_2880994.csv @@ -0,0 +1,7 @@ +hash_name, hash_id +AutoV1, 6D015EBF +AutoV2, CBBF3169B7 +SHA256, CBBF3169B73572BF6BA2CF772C397CD5887576FDA92EDE9A98B78B66C45B37C6 +CRC32, C1886B75 +BLAKE3, 72A4CC9317685C5887BDC7B1418CA89758DEAA9EEEC718FA54528220563B0492 +AutoV3, 9FF40498B615 \ No newline at end of file diff --git a/klein-9b/lora/Cum on clothes & wet cum stains (klein 9b)/FK_cumonclothes-mid_2563887-vid_2880994.safetensors b/klein-9b/lora/Cum on clothes & wet cum stains (klein 9b)/FK_cumonclothes-mid_2563887-vid_2880994.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..9122930bc8a7739272950b4b13c525f8239909bc --- /dev/null +++ b/klein-9b/lora/Cum on clothes & wet cum stains (klein 9b)/FK_cumonclothes-mid_2563887-vid_2880994.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cbbf3169b73572bf6ba2cf772c397cd5887576fda92ede9a98b78b66c45b37c6 +size 165705600 diff --git a/klein-9b/lora/Cum on clothes & wet cum stains (klein 9b)/extra_data-vid_2880994/model_dict-mid_2563887-vid_2880994.json b/klein-9b/lora/Cum on clothes & wet cum stains (klein 9b)/extra_data-vid_2880994/model_dict-mid_2563887-vid_2880994.json new file mode 100644 index 0000000000000000000000000000000000000000..f84cf4b054d1b7ec359759ae74d86b348fe5e791 --- /dev/null +++ b/klein-9b/lora/Cum on clothes & wet cum stains (klein 9b)/extra_data-vid_2880994/model_dict-mid_2563887-vid_2880994.json @@ -0,0 +1,200 @@ +{ + "id": 2563887, + "name": "Cum on clothes / wet cum stains (klein 9b)", + "description": "

More than just plain cum on clothes. It will also add the wet stains to make it more realistic.

Strength: 0.7-1.0

Prompts that worked for me:

the girl has wet cum stains on her clothes. there is cum on her clothes. she has semen on her clothes. wet stains on clothes and fabric. the clothes are slightly wet with several visible streaks and droplets of semen.

Add:

She has semen on (croptop, shorts, panties, leggings... etc.)

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"flux2-vae.safetensors" + ], + "comfy": "{\"prompt\": {\"5\": {\"inputs\": {\"conditioning\": [\"14\", 0]}, \"class_type\": \"ConditioningZeroOut\", \"_meta\": {\"title\": \"ConditioningZeroOut\"}}, \"6\": {\"inputs\": {\"clip_name\": \"qwen_3_8b.safetensors\", \"type\": \"lumina2\", \"device\": \"default\"}, \"class_type\": \"CLIPLoader\", \"_meta\": {\"title\": \"Load CLIP\"}}, \"7\": {\"inputs\": {\"vae_name\": \"flux2-vae.safetensors\"}, \"class_type\": \"VAELoader\", \"_meta\": {\"title\": \"Load VAE\"}}, \"11\": {\"inputs\": {\"sampler_name\": \"euler\"}, \"class_type\": \"KSamplerSelect\", \"_meta\": {\"title\": \"KSamplerSelect\"}}, \"13\": {\"inputs\": {\"filename_prefix\": \"klein9b-turbo/img\", \"images\": [\"94\", 0]}, \"class_type\": \"SaveImage\", \"_meta\": {\"title\": \"Save Image\"}}, \"14\": {\"inputs\": {\"text\": \"A caucasian woman in her late twenties. 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"remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/DPO (Klein 9B)/extra_data-vid_2741488/model_dict-mid_2427102-vid_2741488.json b/klein-9b/lora/DPO (Klein 9B)/extra_data-vid_2741488/model_dict-mid_2427102-vid_2741488.json new file mode 100644 index 0000000000000000000000000000000000000000..52c1271d4d4fd7a6a7e01f1624aeb5f7728138ff --- /dev/null +++ b/klein-9b/lora/DPO (Klein 9B)/extra_data-vid_2741488/model_dict-mid_2427102-vid_2741488.json @@ -0,0 +1,269 @@ +{ + "id": 2427102, + "name": "DPO (Klein 9B)", + "description": "

This is trained on a set of DPO pairs in order to try and push Klein 9B away from the waxy skin and arm/leg/hand issues that it can suffer from. No special prompts, just try from weight 0.5 - 1.0, you can try negative weights as well and see what happens.

v0.1 - Test version


As a courtesy, if you'd like to merge it into one of your models, please ask first.

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\"flux-2-klein-base-9b-fp8.safetensors\", \"url\": \"https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8/resolve/main/flux-2-klein-base-9b-fp8.safetensors\", \"directory\": \"diffusion_models\"}], \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [\"flux-2-klein-9b-fp8.safetensors\", \"default\"]}, {\"id\": 79, \"type\": \"MarkdownNote\", \"pos\": [-1835.885129819036, 255.02753737214815], \"size\": [550, 530], \"flags\": {}, \"order\": 3, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8)\\n- [flux-2-klein-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the models.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u251c\\u2500\\u2500 flux-2-klein-9b-fp8.safetensors\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 flux-2-klein-base-9b-fp8.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. Desktop/Cloud ship stable builds; nightly-supported models may not be included yet, please wait for the next stable release.\\n\\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\\n\\n\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 100, \"type\": \"Flux2Scheduler\", \"pos\": [772.3419858499, 568.0473128944258], \"size\": [270, 106], \"flags\": {}, \"order\": 9, \"mode\": 0, \"inputs\": [{\"name\": \"width\", \"type\": \"INT\", \"widget\": {\"name\": \"width\"}, \"link\": 182}, {\"name\": \"height\", \"type\": \"INT\", \"widget\": {\"name\": \"height\"}, \"link\": 184}], \"outputs\": [{\"name\": \"SIGMAS\", \"type\": \"SIGMAS\", \"links\": [169]}], \"properties\": {\"Node name for S&R\": \"Flux2Scheduler\", \"cnr_id\": 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\"flux-2-klein-base-9b-fp8.safetensors\", \"url\": \"https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8/resolve/main/flux-2-klein-base-9b-fp8.safetensors\", \"directory\": \"diffusion_models\"}], \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [\"flux-2-klein-9b-fp8.safetensors\", \"default\"]}, {\"id\": 79, \"type\": \"MarkdownNote\", \"pos\": [-1835.885129819036, 255.02753737214815], \"size\": [550, 530], \"flags\": {}, \"order\": 3, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8)\\n- [flux-2-klein-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the models.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u251c\\u2500\\u2500 flux-2-klein-9b-fp8.safetensors\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 flux-2-klein-base-9b-fp8.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. Desktop/Cloud ship stable builds; nightly-supported models may not be included yet, please wait for the next stable release.\\n\\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\\n\\n\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 100, \"type\": \"Flux2Scheduler\", \"pos\": [772.3419858499, 568.0473128944258], \"size\": [270, 106], \"flags\": {}, \"order\": 9, \"mode\": 0, \"inputs\": [{\"name\": \"width\", \"type\": \"INT\", \"widget\": {\"name\": \"width\"}, \"link\": 182}, {\"name\": \"height\", \"type\": \"INT\", \"widget\": {\"name\": \"height\"}, \"link\": 184}], \"outputs\": [{\"name\": \"SIGMAS\", \"type\": \"SIGMAS\", \"links\": [169]}], \"properties\": {\"Node name for S&R\": \"Flux2Scheduler\", \"cnr_id\": 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[{\"name\": \"MODEL\", \"type\": \"MODEL\", \"links\": [189]}], \"properties\": {\"Node name for S&R\": \"UNETLoader\", \"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"models\": [{\"name\": \"flux-2-klein-base-9b-fp8.safetensors\", \"url\": \"https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8/resolve/main/flux-2-klein-base-9b-fp8.safetensors\", \"directory\": \"diffusion_models\"}], \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [\"flux-2-klein-9b-fp8.safetensors\", \"default\"]}, {\"id\": 79, \"type\": \"MarkdownNote\", \"pos\": [-1835.885129819036, 255.02753737214815], \"size\": [550, 530], \"flags\": {}, \"order\": 3, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8)\\n- [flux-2-klein-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the models.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u251c\\u2500\\u2500 flux-2-klein-9b-fp8.safetensors\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 flux-2-klein-base-9b-fp8.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. 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A LoRA inspired by the charm of soft pastel illustrations with intricate, delicate linework.

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Ideal for creating enchanting scenes, cute animals, and endearing portraits, it blends the elegance of minimalism with playful fantasy.

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Detail slider. On its own, the useful range is anywhere from around -1 to positive 1, though some of the models top out around +/- 0.8. See the showcase images for an idea of the results at various settings. When used in conjunction with other LoRAs, it can be more useful to lower the slider strength to around 0.4.

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Dildo riding trained for Klein 9b base on a big dataset, works really well with either 9b or 9b base, either add nsfw lora, or load already fine tuned model, or base without nsfw lora, different results with those 3 different types
lora strength 1.0-1.5

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Trained differently - LoKr and with a bigger batch

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Works for vaginal and mostly dildos. Cucumber should work too I guess.

used 550+ Pics so 0.6-0.8 works fine

Prompts that worked for me:

the image shows one girl spreading her legs. she is inserting a dildo into her pussy. her pussy is visible and her legs apart. a photograph of a woman. her legs are spread apart, and she is inserting a large dildo into her shaved vulva with her hand.
 she is sitting on a bed / bench / chair..... she is moaning and looking at viewer.

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Trained on Golden age Disney movies: Snow White and the Seven Dwarfs (1937),Pinocchio (1940),Fantasia (1940),Dumbo (1941),Bambi (1942)

Main Tag for Illustrious : dgastyle
Characters: SnowWhite, swdwarfs, WizardMickey, EvilQueen, BlueFairy, PuppetPinocchio, DDumbo, AdultBambi, FawnBambi, PrinceFlorian* doesn't always work
centaur: disneyfantasia, monster girl, centaur -alternatively : disneyfantasia, 1boy, monster boy, centaur
disneyanimal to help with feral animals

ZIT works decent, Flux K 9B isn't my favorite look like disney knockoff

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Testing

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While Klein can already sort of do this, this lora reinforces the concept of a multi-view 'dressing' montage.

Start with an input image of a nude person, and then describe their clothes - ideally start with a full body image, it's much less consistent if it's cropped. I purposely used non-cherry picked example outputs to give realistic expectations for the performance of the lora.

I STRONGLY RECOMMEND GENERATING WITH THIS LORA USING THIS OUTPUT RESOLUTION:

1920 wide x 1280 height

V1-V2-V3 Differences:

V1 - Best option if you have an input image that strictly adheres to the expected pose/distance

V2 - More flexible with input cropping / distance

V3 - More flexible with input image, I tried adding additional poses to the dataset

I did not generate the input images, I just grabbed them and used them with the lora to generate the outputs!

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V3 - more flexible for different input images, I tried making it less strict on the input poses.

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Modified dataset from V1 - meant to be more flexible with cropping of the input image
V1 is better if you have the strictly framed input image though

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initial version

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Background features the front yard of a house.", + "sampler": "Euler", + "cfgScale": 1 + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/E-girl looks [Klein9b]/extra_data-vid_2740920/model_dict-mid_2437726-vid_2740920.json b/klein-9b/lora/E-girl looks [Klein9b]/extra_data-vid_2740920/model_dict-mid_2437726-vid_2740920.json new file mode 100644 index 0000000000000000000000000000000000000000..5d298b2f64cf70a9c7870579ac24b18860fc49a1 --- /dev/null +++ b/klein-9b/lora/E-girl looks [Klein9b]/extra_data-vid_2740920/model_dict-mid_2437726-vid_2740920.json @@ -0,0 +1,200 @@ +{ + "id": 2437726, + "name": "E-girl looks [Klein9b]", + "description": "

Trigger word

E-girl makeup

Additional prompt

  • To enhance the e-girl look

- playful expression\n- cheek freckles, pink/rosy blush

Ahegao

doing the ahegao face, eyes rolled back and crossed, mouth open and tongue sticking out

Editing

  • Tends to generate very thick eyelashes during editing. To workaround, add \"less eyelash\" in the prompt.

E-girl makeup, less eyelash

Settings

  • Euler, 6 steps

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\"type\": \"*\", \"link\": 257}], \"outputs\": [{\"name\": \"\", \"type\": \"IMAGE\", \"links\": [249, 252]}], \"properties\": {\"showOutputText\": false, \"horizontal\": false, \"ue_properties\": {\"widget_ue_connectable\": {}, \"version\": \"7.1\", \"input_ue_unconnectable\": {}}}, \"shape\": 2}, {\"id\": 137, \"type\": \"SaveImage\", \"pos\": [5778.62997346686, 586.1709204715281], \"size\": [261.49982137330244, 474.8411720280337], \"flags\": {}, \"order\": 33, \"mode\": 0, \"inputs\": [{\"name\": \"images\", \"type\": \"IMAGE\", \"link\": 251}], \"outputs\": [], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.76\", \"Node name for S&R\": \"SaveImage\", \"ue_properties\": {\"widget_ue_connectable\": {}, \"input_ue_unconnectable\": {}, \"version\": \"7.5.1\"}}, \"widgets_values\": [\"upscaled/dataset_upscaled\"], \"shape\": 2}, {\"id\": 138, \"type\": \"easy cleanGpuUsed\", \"pos\": [5412.419673654479, 757.1157830340566], \"size\": [179.97595600986088, 26], \"flags\": {\"collapsed\": true}, \"order\": 28, \"mode\": 0, \"inputs\": [{\"name\": \"anything\", \"type\": \"*\", \"link\": 252}], \"outputs\": [{\"name\": \"output\", \"type\": \"*\", \"links\": [253]}], \"properties\": {\"cnr_id\": \"comfyui-easy-use\", \"ver\": \"125b3a4905ac9367f7aae5c2df67e2282f0a3d37\", \"Node name for S&R\": \"easy cleanGpuUsed\", \"ue_properties\": {\"widget_ue_connectable\": {}, \"input_ue_unconnectable\": {}, \"version\": \"7.4\"}}, \"widgets_values\": [], \"shape\": 2}, {\"id\": 139, \"type\": \"easy clearCacheAll\", \"pos\": [5417.825872653833, 817.8028347627877], \"size\": [141.7896484375, 26], \"flags\": {\"collapsed\": true}, \"order\": 29, \"mode\": 0, \"inputs\": [{\"name\": \"anything\", \"type\": \"*\", \"link\": 253}], \"outputs\": [{\"name\": \"output\", \"type\": \"*\", \"links\": [254]}], \"properties\": {\"cnr_id\": \"comfyui-easy-use\", \"ver\": \"125b3a4905ac9367f7aae5c2df67e2282f0a3d37\", \"Node name for S&R\": \"easy clearCacheAll\", \"ue_properties\": {\"widget_ue_connectable\": {}, \"input_ue_unconnectable\": {}, \"version\": \"7.4\"}}, \"widgets_values\": [], \"shape\": 2}, {\"id\": 140, \"type\": \"Note\", \"pos\": [5415.723149659626, 881.4825332454841], \"size\": [343.0749391350719, 276.66356819148314], \"flags\": {}, \"order\": 8, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {\"ue_properties\": {\"widget_ue_connectable\": {}, \"version\": \"7.1\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"Just delete the \\\"comfyui-easy-use\\\" nodes, if you don't want to install it. I highly recommend to use it, especially when connecting it to your workflow or running it in batch mode\\n\\nI'm using the fp16 with a 5090. There you can also disable the tiling mode.\\n\\nJust lower the resolution if it is too slow\\n\\nCustom Nodes download links:\\nhttps://github.com/yolain/ComfyUI-Easy-Use.git\\nhttps://github.com/numz/ComfyUI-SeedVR2_VideoUpscaler.git\\n\\n\\nOn a 5090 it takes 38 seconds to upscale\"], \"color\": \"#432\", \"bgcolor\": \"#653\", \"shape\": 2}, {\"id\": 141, \"type\": \"LoadImage\", \"pos\": [4873.596206358929, 135.4648980145448], \"size\": [337.4181451297891, 326], \"flags\": {}, \"order\": 9, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"name\": \"IMAGE\", \"type\": \"IMAGE\", \"links\": []}, {\"name\": \"MASK\", \"type\": \"MASK\", \"links\": null}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.76\", \"Node name for S&R\": \"LoadImage\", \"ue_properties\": {\"widget_ue_connectable\": {}, \"input_ue_unconnectable\": {}, \"version\": \"7.5.1\"}}, \"widgets_values\": [\"ComfyUI_0024.png\", \"image\"], \"shape\": 2}, {\"id\": 142, \"type\": \"SeedVR2LoadDiTModel\", \"pos\": [5407.3195323676055, 142.75558494891672], \"size\": [356.01170787138324, 202], \"flags\": {\"collapsed\": false}, \"order\": 10, \"mode\": 0, \"inputs\": [{\"name\": \"torch_compile_args\", \"shape\": 7, \"type\": \"TORCH_COMPILE_ARGS\", \"link\": null}], \"outputs\": [{\"name\": \"SEEDVR2_DIT\", \"type\": \"SEEDVR2_DIT\", \"links\": [255]}], \"properties\": {\"cnr_id\": \"seedvr2_videoupscaler\", \"ver\": \"690cc39379c1481159ddd451368dbf2295930fc6\", \"Node name for S&R\": \"SeedVR2LoadDiTModel\", \"ue_properties\": {\"widget_ue_connectable\": {\"model\": true, \"device\": true, \"blocks_to_swap\": true, \"swap_io_components\": true, \"offload_device\": true, \"cache_model\": true, \"attention_mode\": true}, \"version\": \"7.4\", \"input_ue_unconnectable\": {}}, \"aux_id\": \"ainvfx/ComfyUI-SeedVR2_VideoUpscaler\"}, \"widgets_values\": [\"seedvr2_ema_7b_fp16.safetensors\", \"cuda:0\", 35, false, \"cpu\", false, \"sageattn_2\"], \"shape\": 2}, {\"id\": 143, \"type\": \"Note\", \"pos\": [4845.691947698504, 893.3241768072364], \"size\": [389.66926981075267, 174.00966269451737], \"flags\": {}, \"order\": 11, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {\"ue_properties\": {\"widget_ue_connectable\": {}, \"version\": \"7.1\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"If you want to run it with multiple images in sequence, than you have to just connect the \\\"IMAGE\\\" output to the reroute node and enter your image folder path\\n\\nIn \\\"image_load_cap\\\" you have to enter the amount of images you wanna upscale in your folder. 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0000000000000000000000000000000000000000..aa50df4b484a976021215f6f199d426aec473ffb --- /dev/null +++ b/klein-9b/lora/Elusarca's Detail Enhancer & Flux Klein 9B/extra_data-vid_2746136/model_dict-mid_2442399-vid_2746136.json @@ -0,0 +1,187 @@ +{ + "id": 2442399, + "name": "Elusarca's Detail Enhancer | Flux Klein 9B", + "description": "

Please see the example images. This LoRA enhances your existing image by increasing the details, sharpness, balancing the color and more.

It works best with bad quality images.

Formula is;
bad image = high strength(0.7-1.0)
good image = low strength(0.3-0.6)

Trigger word & prompting:
Enhance this image

This is the trigger word that you should have in your every prompt. Rest is up to you, you can use any enhancement prompting your image requires. An example of mine(this may not work for your use case):

Enhance this image to high resolution with rich fine details. Sharpen all textures and surfaces, add microdetails and natural grain. Increase clarity and definition across all elements while preserving the original composition, lighting, and atmosphere. Image can be illustration or real photo, keep the original input style.

If anyone wants to try with the exact ComfyUI workflow I used, here is the link: https://pastebin.com/mt0X4cZA (Copy the code and save as a .json file, then drag and drop into Comfy UI)

It has one custom node, Detail Daemon, for adding extra details, but you can skip/delete/bypass it if you want to, not a game changer.

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He is smiling sly at the camera. He has one hand behind his head.", + "denoise": 1, + "sampler": "LCM", + "cfgScale": 1, + "scheduler": "beta57" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/Erect Penis Model (Klein 9B)/extra_data-vid_2655291/model_dict-mid_2360918-vid_2655291.json b/klein-9b/lora/Erect Penis Model (Klein 9B)/extra_data-vid_2655291/model_dict-mid_2360918-vid_2655291.json new file mode 100644 index 0000000000000000000000000000000000000000..a5a8e794e0322c2c56253b9af80879f1d3319fc0 --- /dev/null +++ b/klein-9b/lora/Erect Penis Model (Klein 9B)/extra_data-vid_2655291/model_dict-mid_2360918-vid_2655291.json @@ -0,0 +1,213 @@ +{ + "id": 2360918, + "name": "Erect Penis Model (Klein 9B)", + "description": "

Klein 9B t2i/i2i Erect Penis Model

Proof of concept model for Flux 2 Klein 9B, trained on 9B-base with 30 images for 5k steps.

Additional/more diverse images would help the model produce more varied results (it tends to prefer highly muscular physiques currently)

Being that the base model can edit, this can be a step in your diffusion process as it will not affect other parts of the image if you tell it not to. If feet/hands are not present in the image in edit mode, you will most likely experience the flux anatomy scrambler and will have to edit the output image to improve hands/feet.

The trigger word used for training is j0rkinit, it is not usually needed but can help in some cases. No explicit words were used for training as explicit words tend to create bad results. The strength is fine at 1.0, up to 1.2 can help with size.

DISCLAIMER

Be respectful with edited images, do not share/generate images of real people.

", + "allowNoCredit": true, + "allowCommercialUse": "{RentCivit,Rent}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 940731, + "cosmetic": null, + "supportsGeneration": false, + "stats": { + "downloadCount": 55, + "thumbsUpCount": 5, + "thumbsDownCount": 0, + "commentCount": 0, + "tippedAmountCount": 0 + }, + "creator": { + "username": "n8te", + "image": "https://cdn.discordapp.com/avatars/557071630137032704/348856588736cc5a6c58c4f3928de6b8.png" + }, + "tags": [ + "penis", + "concept" + ], + "modelVersions": [ + { + "id": 2655291, + "index": 0, + "name": "v1.0", + "baseModel": "Flux.2 Klein 9B-base", + "baseModelType": "Standard", + "createdAt": "2026-02-03T06:29:18.994Z", + "publishedAt": "2026-02-03T06:47:58.000Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "description": "

Klein 9B t2i/i2i Erect Penis Model

Proof of concept model for Flux 2 Klein 9B, trained on 9B-base with 30 images for 5k steps.

Additional/more diverse images would help the model produce more varied results (it tends to prefer highly muscular physiques currently)

Being that the base model can edit, this can be a step in your diffusion process as it will not affect other parts of the image if you tell it not to. If feet/hands are not present in the image in edit mode, you will most likely experience the flux anatomy scrambler and will have to edit the output image to improve hands/feet.

The trigger word used for training is j0rkinit, it is not usually needed but can help in some cases. No explicit words were used for training as explicit words tend to create bad results. The strength is fine at 1.0, up to 1.2 can help with size.

DISCLAIMER

Be respectful with edited images, do not share/generate images of real people.

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Huggingface for lost Loras: https://huggingface.co/quadratrund

Flux 2 klein 9b

Flux can create expressions but this is trained on bdsm facial expressions for extra realism. Like in the comments the one guy said. We need a „stepped on lego“ -lora now :)
Weirdly enough „crying“ does not work, or will get weird water drops on the face lol …

Strength: 0.8-1.3

girl has a painful expression. girl is extremely suffering. 
she is screaming in pain and agony.\nShe is screaming.
she is clenching her teeth.
she has her eye wide open.
she is frowning.
_______________

SDXL/Illustrious:

I wanted to do a good SDXL Lora so it is trained with realistic images. Illustrious is actually able to create this, but maybe the lora will help.

Please keep in mind to work with this lora responsible. All characters in the images are at full age and are doing this with consent.

Idea is to make the expression more extreme with frowning. Keep in mind they person can't scream and clench the teeth at the same time. youn need to choose. Also Closing eyes doesn't work when you describe the eye color.

Version 2.0 Illustrious

cranked up the training pics from 40 to 240 pics.

It will give the expression more details but will make it more realistic.

It depends a bit on the art style. 

strength: 0.5 - 0.8

Trigger: p4in,

To enhance: painful expression, in pain, terrified, frowning, scared, crying, screaming, closed eyes, wide terrified eyes, clenched teeth,

For Illustrious:

Strength: 0.7 - 1.0

Triggerword: p4in,

additional tags: p4in, frowning, painful expression, crying, closed eyes, screaming/clenched teeth,

SDXL (basically the same):

Strength: 0.7 -1.0

Triggerword: p4in,

additional tags: p4in, frowning, painful expression, crying, closed eyes, screaming/clenched teeth,

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"description": "

F2K_Sb-细节realistic

# 📸 Klein9B Realistic Anime Converter (NSFW Supported) This LoRA is trained on top of the Klein9B base model. It is designed to convert anime-style characters into photorealistic humans while maintaining their original features. It supports both SFW and NSFW generation. --- ### ✨ Features - Anime to Real: effectively transforms 2D anime concepts into realistic photography styles. - Based on Klein9B: Inherits the high-quality texture and lighting capabilities of the Klein9B model. - NSFW Capable: Supports mature themes. ### ⚙️ Recommended Settings - Base Model: Klein9B (or compatible realistic model) -- Weight: 0.6 - 1.0 (Recommended: 0.8) - Steps: 25 - 35 - Sampler: DPM++ 2M Karras / Euler a ### 🚫 Important Notes - This model is intended for generating realistic human images from anime prompts. - NSFW: This resource contains mature themes. Please use responsibly and in accordance with local laws.

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I decided to port my WAN 2.2 14B LORA to FLUX KLEIN 9B.

I think it performs OK although the usual KLEIN issues do persist.

Seems to work well in edit mode.

As per original V1 this is mostly lighter complexions

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--git a/klein-9b/lora/Face-Cumshot/c4msh0t_-mid_2357212-vid_2651173.csv b/klein-9b/lora/Face-Cumshot/c4msh0t_-mid_2357212-vid_2651173.csv new file mode 100644 index 0000000000000000000000000000000000000000..bb38821c54f86dc67ef9e4b08b550062ac12e5c3 --- /dev/null +++ b/klein-9b/lora/Face-Cumshot/c4msh0t_-mid_2357212-vid_2651173.csv @@ -0,0 +1,7 @@ +hash_name, hash_id +AutoV1, BC373D30 +AutoV2, 3069A2E2EB +SHA256, 3069A2E2EBEE65992B833F93C38623E90F01EBBF992FFBBC96530ACD7A83E13F +CRC32, F3A776E2 +BLAKE3, 1D605D6D0848D86E7306B30A23E7821D3A9F100253FFD4C102A49EBD18396452 +AutoV3, 81AD3F3F92CF \ No newline at end of file diff --git a/klein-9b/lora/Face-Cumshot/c4msh0t_-mid_2357212-vid_2651173.safetensors b/klein-9b/lora/Face-Cumshot/c4msh0t_-mid_2357212-vid_2651173.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..fc67cae0dc10a4ed97c22db2720e359fffbd2418 --- /dev/null +++ b/klein-9b/lora/Face-Cumshot/c4msh0t_-mid_2357212-vid_2651173.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3069a2e2ebee65992b833f93c38623e90f01ebbf992ffbbc96530acd7a83e13f +size 165704424 diff --git a/klein-9b/lora/Face-Cumshot/extra_data-vid_2651173/model_dict-mid_2357212-vid_2651173.json b/klein-9b/lora/Face-Cumshot/extra_data-vid_2651173/model_dict-mid_2357212-vid_2651173.json new file mode 100644 index 0000000000000000000000000000000000000000..7f79c2af8b7a3133339127a4588c85111bad8712 --- /dev/null +++ b/klein-9b/lora/Face-Cumshot/extra_data-vid_2651173/model_dict-mid_2357212-vid_2651173.json @@ -0,0 +1,128 @@ +{ + "id": 2357212, + "name": "Face-Cumshot", + "description": "

This is a Lora with which you can create a realistic cumshot on the face.

The Trigger is : c4msh0t

Examples :

\"she has cum on her face\" \"Her face is covered in cum\" \"She’s got cum all over her face\" \"Her face is drenched in cum\" \"Thick cum covering her face\" \"Cum dripping from her face\"

It also works great when editing photos, just enter the examples and that's enough. The faces are not changed.

You can also enter other body parts, that works too, but she is trained for faces.

The strength of the Lora works well from 0.80-1.35, test for yourself what works best for you.

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This model was loosely trained on some hardcore aftermath shots of porn scenes from series you men of culture probably know, trigger word is 3xtremerough, besides that it is up on you to explore and test the model.

Examples:

3xtremerough photograph of a young woman with light brown hair wet and slightly disheveled lying back with her eyes closed. Her face is covered in a thick viscous white fluid that drips down her cheeks and chin. The fluid is visibly on her forehead nose and lips with some strands hanging from her chin.

3xtremerough close-up photograph of a woman with light brown skin and long brown hair. Her face is slightly tilted downward showing her large dark brown eyes with prominent black mascara smudges around them indicating recent crying or intense activity. Her right eye has a fake eyelashes that is slightly off adding to the disheveled appearance. She has a yellow halter top visible at the bottom of the frame. Her expression is a mix of vulnerability and intensity with her eyebrows slightly furrowed.

3xtremerough photograph of a young woman with light skin and brown hair showing a close-up of her face. She has purple eyeshadow and her right eye is slightly open with a fake eyelashes off. Her face is covered in a shiny viscous liquid suggesting semen with some on her cheeks forehead and chin. Her expression is a mix of surprise and pleasure with her mouth slightly open and her lips parted.

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit,Rent}", + "allowDerivatives": false, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 11941201, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 1560, + "thumbsUpCount": 56, + "thumbsDownCount": 0, + "commentCount": 0, + "tippedAmountCount": 0 + }, + "creator": { + "username": "barleduc", + "image": null + }, + "tags": [ + "concept" + ], + "modelVersions": [ + { + "id": 2865274, + "index": 0, + "name": "wan22-high", + "baseModel": "Wan Video 2.2 T2V-A14B", + "baseModelType": "Standard", + "createdAt": "2026-04-17T02:18:45.429Z", + "publishedAt": "2026-04-17T02:23:24.646Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "covered": true, + "stats": { + "downloadCount": 632, + "thumbsUpCount": 41, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2748557, + "sizeKB": 599176.1640625, + "name": "WAN2.2_r0ugh_hn.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-04-17T02:31:10.695Z", + "metadata": { + "format": "SafeTensor", + "size": "pruned", + "fp": "fp16" + }, + "hashes": { + "AutoV1": "6309FB84", + "AutoV2": "48EA7182BE", + "SHA256": "48EA7182BE1A44761D82F24D9BFF680817422C6E482872BDCF955437D0F7D236", + "CRC32": "C299B4D6", + "BLAKE3": "473D488430F3566B319F449FB7B890859B232BEC3041DE8AFB61038D3A86B058", + "AutoV3": "598C59E688CA" + }, + "downloadUrl": "https://civitai.com/api/download/models/2865274", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/cc1964f4-8c12-4b3d-a9ed-bedb64d20def/original=true/127757876.mp4", + "nsfwLevel": 16, + "width": 1024, + "height": 1024, + "hash": "UjKK4utQ%$Ip~VtRtRt7%1tRM|ozR+bbaKkB", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/ca248935-3f94-4b93-a0c0-bc85227dab51/original=true/127759461.mp4", + "nsfwLevel": 16, + "width": 1024, + "height": 1024, + "hash": "UAIzbgn301D*?^%257-:0yxu^ko|tlIUb_RP", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2865274" + }, + { + "id": 2865279, + "index": 1, + "name": "wan22-low", + "baseModel": "Wan Video 2.2 T2V-A14B", + "baseModelType": "Standard", + "createdAt": "2026-04-17T02:18:58.421Z", + "publishedAt": "2026-04-17T02:32:05.333Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "covered": true, + "stats": { + "downloadCount": 621, + "thumbsUpCount": 18, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2748595, + "sizeKB": 599176.1640625, + "name": "WAN2.2_r0ugh_ln.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-04-17T02:47:38.029Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "81958B80", + "AutoV2": "D78416311A", + "SHA256": "D78416311AD194E6B7B872A8A86277266E294CFF4CEEFEEC3758B2362277DE9C", + "CRC32": "92C089A9", + "BLAKE3": "373DDE0068C50BA95CD4827C71A3173C42484F55EBF6704840171EC84651B724", + "AutoV3": "E1B79D8BC4FE" + }, + "downloadUrl": "https://civitai.com/api/download/models/2865279", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f7c75ae7-30c6-468a-b2e9-5471001372e1/original=true/127758369.mp4", + "nsfwLevel": 16, + "width": 768, + "height": 768, + "hash": "UgM6J7aK?^e;G@Wo%Nbb;,ofoIxaO=R*%3oM", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2865279" + }, + { + "id": 2869006, + "index": 2, + "name": "klein-base-9b", + "baseModel": "Flux.2 Klein 9B-base", + "baseModelType": "Standard", + "createdAt": "2026-04-18T03:34:27.178Z", + "publishedAt": "2026-04-18T03:42:29.027Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "description": "

On Request I trained it also for Flux 9B-base

", + "covered": true, + "stats": { + "downloadCount": 307, + "thumbsUpCount": 21, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2751508, + "sizeKB": 161833.21875, + "name": "FLUX2_klein_r0ugh.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-04-18T03:41:34.377Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "BE8808B0", + "AutoV2": "8AA572E1A2", + "SHA256": "8AA572E1A2D00A97D42B35AD61271D8581B587352A81BC1A1E10FEFF26C74361", + "CRC32": "4471EE58", + "BLAKE3": "DCF33B5C5AC305071E46AC0C687BEC1B348986C59D5B5C1E97450FF58026CADF", + "AutoV3": "707D19BADAC0" + }, + "downloadUrl": "https://civitai.com/api/download/models/2869006", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b086b2e1-0bf8-491c-abf4-9b6272332357/original=true/127859424.jpeg", + "nsfwLevel": 16, + 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The OG

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This is far from perfect:

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  • May try to replace any hole with an asshole or a pussy

  • May create some weird nightmare images

I'm releasing because may be useful for someone...

The lora trained on Musubi-Tuner is better for text-to-image.

The lora trained on AI-Toolkit is better for edit.

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This is far from perfect:

  • Only works from the back

  • May try to replace any hole with an asshole or a pussy

  • May create some weird nightmare images

I'm releasing because may be useful for someone...

The lora trained on Musubi-Tuner is better for text-to-image.

The lora trained on AI-Toolkit is better for edit.

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Style LoRA that makes everything flat and cartoony.

Activation word is FlatPop

Trained on 697 anime girl pictures. Synthetic dataset available for download too.

Illustrious works great. Pony likes to cut off people's heads. SD1.5 varies wildly depending on your checkpoint.

I have 2 Klein versions, \"A\" is done, \"B\" is 3/4 the way through training. It's style's a little closer, but it has a hard time making genitals.

Will retrain ZIT with new settings soon

I made a great tutorial on how to prepare images

You can see all example images here

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3/4 the way through training. It's style's a little closer, but it has a hard time making genitals.

Use version \"A\" for the main one

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Style LoRA that makes everything flat and cartoony.

Activation word is FlatPop

Trained on 697 anime girl pictures. Synthetic dataset available for download too.

Illustrious works great. Pony likes to cut off people's heads. SD1.5 varies wildly depending on your checkpoint.

I have 2 Klein versions, \"A\" is done, \"B\" is 3/4 the way through training. It's style's a little closer, but it has a hard time making genitals.

Will retrain ZIT with new settings soon

I made a great tutorial on how to prepare images

You can see all example images here

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3/4 the way through training. It's style's a little closer, but it has a hard time making genitals.

Use version \"A\" for the main one

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Extremely experimental first attempt at a Z Image Turbo version of this model.

Will be redoing to make it work properly.

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Flux.2 Klein 9B - K3NK", + "description": "

Flexible Women LoRA for Flux.2 Klein 9B

  • Trained in Diffusion Pipe on 5110 images (flexible poses from nsfw public galleries where the faces and logos were masked out, so, is notr trained on extreme gymnastic images)

  • Trained at 512,1024 buckets

  • Trained with 9B Base model

If you encounter deformations try using linear_quadratic and increase the number of steps, or changing seed, is a huge dataset and it might require further training, but since im testing LTXV2 training i'll just release this as is.

If you generating clothed women, and you see labia , lower the lora str, it will tend to create a vagina ignoring clothing..

My noodleficated workflow is embeded inside the images, drag 'n drop into comfyui

Example prompts in the image gallery

Have fun! 😜

***** This LoRA is shared without warranties and with the condition that it is used in a lawful and responsible way. I do not support or take responsibility for illegal, harmful, or harassing uses. By downloading or using it, you accept that you are solely responsible for how it is used. *****

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expression transfer/extra_data-vid_2658160/model_dict-mid_2363566-vid_2658160.json @@ -0,0 +1,192 @@ +{ + "id": 2363566, + "name": "Flux2 Klein face expression transfer", + "description": "

face expression transfer

This is a model that transfers facial expressions from a reference image. It has been primarily trained for transfers between illustrations and is not very good at transfers between realistic images and illustrations.

The success rate is higher if the source image and reference image have similar face directions, eye colors, and art styles.

for Flux Klein 9B/4B

Trigger:

transfer character face expression in image1 with character face expression in image2

If the eyes color changes, please add the following words:

keep eyes color of image1

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[\"```\\n\\u6b22\\u8fce\\u8fdb\\u5165\\u6211\\u7684\\u4e3b\\u9875\\nQQ\\u4ea4\\u6d41\\u7fa4\\uff1a821194069\\n\\u53ef\\u5b9a\\u5236\\u5de5\\u4f5c\\u6d41\\u548c\\u6a21\\u578b\\u548c\\u8fdc\\u7a0b\\u90e8\\u7f72\\uff01\\n\\n```\\n---\\n\\n### \\u516c\\u4f17\\u53f7\\u76f4\\u8fbe\\uff1a[AIGC\\u7279\\u5f02\\u70b9](https://mp.weixin.qq.com/s/HPH9c0lymUxKDipVcw7PCQ)\\ud83d\\udc48\\n### B\\u7ad9\\u76f4\\u8fbe\\uff1a[AIGC\\u7279\\u5f02\\u70b9](https://space.bilibili.com/49766729?spm_id_from=333.1007.0.0 )\\ud83d\\udc48\\n### \\u95f2\\u9c7c\\u5e97\\u94fa\\u76f4\\u8fbe\\uff1a[AI\\u670d\\u52a1](https://www.goofish.com/personal?spm=a21ybx.home.nav.1.4c053da6H5SqxH)\\ud83d\\udc48\\n### runninghub\\u4e3b\\u9875\\uff1a[AIGC\\u7279\\u5f02\\u70b9](https://www.runninghub.cn/?inviteCode=sdhs0trb)\\ud83d\\udc48\\n### LIBLIBAI\\u4e3b\\u9875\\uff1a[\\u6a21\\u578bLora](https://www.liblib.art/userpage/4230c933675a4170a1c9e7b4273325d5/publish )\\ud83d\\udc48\\n### 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You can click on the link below to try it out directly. If the effect is good, you can deploy it locally

https://www.runninghub.ai/post/2016180945006628865/?inviteCode=sdhs0trb

Fan benefits,register to get 1000 points,daily login 100 points,play 4090!Experience the super power of 48G.

Hugging Face： WarmBloodAban/Flux2_Klein_Anything_to_Real_Characters · Hugging Face

Model Description

This is an Anime-to-Realism (Live-Action) LoRA, now updated to the Flux2 Klein version. The training dataset consists of 145 curated image pairs (totaling 290 images).

🛠 Optimization List:

  1. Constraint Refinement: Optimized the model's specific architectural constraints.

  2. Facial Expressions: Enhanced the fidelity and restoration of character expressions.

  3. Demographic Diversity: Improved accuracy for various groups, including children, males, and females.

  4. Realism Boost: Significant improvements in skin texture and overall photorealism.

🔑 Main Prompts:

  • realistic style of a young Asian girl

  • realistic style of a young Asian woman

  • realistic style of a young Asian female child

  • realistic style of a young Asian man

  • realistic style of a young Asian male

💡 Additional Prompting Tips:

  • Flexibility: Adjust prompts based on gender, ethnicity, and age groups.

  • Enhancement: Add descriptive tags after the main prompt to strengthen character traits, background details, and specific expressions.

⚡ Klein Features:

The Flux2 Klein model excels primarily in Text-to-Image (T2I), followed by Image Editing. Supported by this LoRA, it offers exceptional editing capabilities. To maximize the model's performance, provide detailed descriptions following the main prompt.

⚙️ Recommended Settings:

  • Base Model: Flux2 Klein 9B

  • CFG Scale: 1

  • Steps: 8

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Trained on stills from Mononoke and Howl's Moving Castle for now V1

MK2 now has Mononoke, Arriety, Howl's, Kiki, Totoro, Spirited, and Heron.
Flux K 9B: This is a screenshot of a Studio Ghibli movie
MK2 tags
Ghiblistyle, ChihiroOgino, HakuSA
illustrious knows: Totoro, San (Princess Mononoke),kiki (majo no takkyuubin)

ADetailer will help, close ups don't really need it

Tags to use: source_anime, Ghiblistyle, anime coloring

I will appreciate any feedback, suggestions, and buzz tips! Thank you!

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\"type\": \"MODEL\", \"link\": 188}, {\"name\": \"positive\", \"type\": \"CONDITIONING\", \"link\": 164}, {\"name\": \"negative\", \"type\": \"CONDITIONING\", \"link\": 165}], \"outputs\": [{\"name\": \"GUIDER\", \"type\": \"GUIDER\", \"links\": [167]}], \"properties\": {\"Node name for S&R\": \"CFGGuider\", \"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [1]}, {\"id\": 105, \"type\": \"UNETLoader\", \"pos\": [-168.57361319647123, 210.8798857303889], \"size\": [364.42708333333337, 82], \"flags\": {}, \"order\": 2, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"name\": \"MODEL\", \"type\": \"MODEL\", \"links\": [189]}], \"properties\": {\"Node name for S&R\": \"UNETLoader\", \"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"models\": [{\"name\": \"flux-2-klein-base-9b-fp8.safetensors\", \"url\": \"https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8/resolve/main/flux-2-klein-base-9b-fp8.safetensors\", \"directory\": \"diffusion_models\"}], \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [\"flux-2-klein-9b-fp8.safetensors\", \"default\"]}, {\"id\": 79, \"type\": \"MarkdownNote\", \"pos\": [-1835.885129819036, 255.02753737214815], \"size\": [550, 530], \"flags\": {}, \"order\": 3, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8)\\n- [flux-2-klein-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the models.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u251c\\u2500\\u2500 flux-2-klein-9b-fp8.safetensors\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 flux-2-klein-base-9b-fp8.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. Desktop/Cloud ship stable builds; nightly-supported models may not be included yet, please wait for the next stable release.\\n\\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\\n\\n\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 100, \"type\": \"Flux2Scheduler\", \"pos\": [772.3419858499, 568.0473128944258], \"size\": [270, 106], \"flags\": {}, \"order\": 9, \"mode\": 0, \"inputs\": [{\"name\": \"width\", \"type\": \"INT\", \"widget\": {\"name\": \"width\"}, \"link\": 182}, {\"name\": \"height\", \"type\": \"INT\", \"widget\": {\"name\": \"height\"}, \"link\": 184}], \"outputs\": [{\"name\": \"SIGMAS\", \"type\": \"SIGMAS\", \"links\": [169]}], \"properties\": {\"Node name for S&R\": \"Flux2Scheduler\", \"cnr_id\": 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\"model\", \"type\": \"MODEL\", \"link\": 188}, {\"name\": \"positive\", \"type\": \"CONDITIONING\", \"link\": 164}, {\"name\": \"negative\", \"type\": \"CONDITIONING\", \"link\": 165}], \"outputs\": [{\"name\": \"GUIDER\", \"type\": \"GUIDER\", \"links\": [167]}], \"properties\": {\"Node name for S&R\": \"CFGGuider\", \"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [1]}, {\"id\": 105, \"type\": \"UNETLoader\", \"pos\": [-168.57361319647123, 210.8798857303889], \"size\": [364.42708333333337, 82], \"flags\": {}, \"order\": 2, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"name\": \"MODEL\", \"type\": \"MODEL\", \"links\": [189]}], \"properties\": {\"Node name for S&R\": \"UNETLoader\", \"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"models\": [{\"name\": \"flux-2-klein-base-9b-fp8.safetensors\", \"url\": \"https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8/resolve/main/flux-2-klein-base-9b-fp8.safetensors\", \"directory\": \"diffusion_models\"}], \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [\"flux-2-klein-9b-fp8.safetensors\", \"default\"]}, {\"id\": 79, \"type\": \"MarkdownNote\", \"pos\": [-1835.885129819036, 255.02753737214815], \"size\": [550, 530], \"flags\": {}, \"order\": 3, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8)\\n- [flux-2-klein-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the models.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u251c\\u2500\\u2500 flux-2-klein-9b-fp8.safetensors\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 flux-2-klein-base-9b-fp8.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. Desktop/Cloud ship stable builds; nightly-supported models may not be included yet, please wait for the next stable release.\\n\\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\\n\\n\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 100, \"type\": \"Flux2Scheduler\", \"pos\": [772.3419858499, 568.0473128944258], \"size\": [270, 106], \"flags\": {}, \"order\": 9, \"mode\": 0, \"inputs\": [{\"name\": \"width\", \"type\": \"INT\", \"widget\": {\"name\": \"width\"}, \"link\": 182}, {\"name\": \"height\", \"type\": \"INT\", \"widget\": {\"name\": \"height\"}, \"link\": 184}], \"outputs\": [{\"name\": \"SIGMAS\", \"type\": \"SIGMAS\", \"links\": [169]}], \"properties\": {\"Node name for S&R\": \"Flux2Scheduler\", \"cnr_id\": 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\"flux-2-klein-base-9b-fp8.safetensors\", \"url\": \"https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8/resolve/main/flux-2-klein-base-9b-fp8.safetensors\", \"directory\": \"diffusion_models\"}], \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [\"flux-2-klein-9b-fp8.safetensors\", \"default\"]}, {\"id\": 79, \"type\": \"MarkdownNote\", \"pos\": [-1835.885129819036, 255.02753737214815], \"size\": [550, 530], \"flags\": {}, \"order\": 3, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8)\\n- [flux-2-klein-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the models.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u251c\\u2500\\u2500 flux-2-klein-9b-fp8.safetensors\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 flux-2-klein-base-9b-fp8.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. Desktop/Cloud ship stable builds; nightly-supported models may not be included yet, please wait for the next stable release.\\n\\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\\n\\n\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 100, \"type\": \"Flux2Scheduler\", \"pos\": [772.3419858499, 568.0473128944258], \"size\": [270, 106], \"flags\": {}, \"order\": 9, \"mode\": 0, \"inputs\": [{\"name\": \"width\", \"type\": \"INT\", \"widget\": {\"name\": \"width\"}, \"link\": 182}, {\"name\": \"height\", \"type\": \"INT\", \"widget\": {\"name\": \"height\"}, \"link\": 184}], \"outputs\": [{\"name\": \"SIGMAS\", \"type\": \"SIGMAS\", \"links\": [169]}], \"properties\": {\"Node name for S&R\": \"Flux2Scheduler\", \"cnr_id\": 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This LoRA is crafted to capture the gothic majesty and cinematic drama of dark fantasy. Inspired by legendary fantasy illustrators, it enhances intricate armor, ethereal lighting, and haunting landscapes, blending the raw intensity with mystical elegance.

It is a my attempt at creating a cinematic world inspired by Royo , Gerald Brom, Julie Bell and many others artist that I love, but the dataset is 100% synthetic.

Trigger words: ArsMovieStill, Gothic Dark Fantasy movie still

", + "allowNoCredit": false, + "allowCommercialUse": "{Image,RentCivit}", + "allowDerivatives": false, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": false, + "nsfwLevel": 7, + "availability": "Public", + "userId": 107364, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 3450, + "thumbsUpCount": 346, + "thumbsDownCount": 0, + "commentCount": 0, + "tippedAmountCount": 7000 + }, + "creator": { + "username": "ArsMachina", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f5f82fd4-b372-47fa-b375-c4d132450db0/width=96/ArsMachina.jpeg" + }, + "tags": [ + "midjourney", + "dark fantasy", + "style", + "fantasy" + ], + "modelVersions": [ + { + "id": 2856806, + "index": 0, + "name": "ZImageBase", + "baseModel": "ZImageBase", + "baseModelType": "Standard", + "createdAt": "2026-04-14T09:24:09.951Z", + "publishedAt": "2026-05-03T12:55:08.849Z", + "status": "Published", + "availability": 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❤️ Please Consider Supporting My Work

I'm an independent model and workflow developer. If you like my work and want to support independent development, please consider buying me a cup of coffee to keep this motivation going! Thank you very much.

🔥Advanced Model and Workflow available on Patreon ( supporters only ) 🔥

🥸Do you...

Want to turn a small image into a large one? Want to make a low-resolution image clear? Or the images generated by ZIT are always blurry, and using the upscale model or controlnet model for enlargement always changes the content of the image, requiring repeated modifications to parameters and prompts, consuming a great deal of time and energy, yet the results may not necessarily be good.

This LORA is designed to address these issues. It only does one thing: making the image clearer without changing its content at all.

👇Below is a comparison with Klein

👇Comparison with input

Suggestions

The weight：0.6~1.0

Trigger word：“High resolution”

Detailed Guide

Whether it's digital photos, films, animations, stylized illustrations, or other digital art, the overall image quality can be comprehensively improved through this LORA. If you want to build your own workflow, it is recommended to use it with an enlargement model for better results. If you don't know how to build it or want to support me, please join my Patreon channel. as a supporter, you will get the advanced version of the LORA and exclusive workflows.

✨Supporters will also receive the following privileges:

  • 🔓 Supporters-only LoRAs Early access to new releases

  • 🔓 Exclusive Models Not available on Civitai

  • 🔓 Exclusive workflow and user guide Completely exclusive

🫡 May the AI-power be with you, see you soon !🫡

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Disclaimer: My model or workflow is solely for learning and communication purposes and shall not be used for any commercial activities. All responsibilities for the generated content, including its legality, ethical implications, or potential misuse, are borne entirely by the user. By using this model or workflow, you agree to this principle. Please use it responsibly within the scope of local laws.

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A hip size slider for Flux 2 9B. Adjusts width of the hip. Works well between -5 and +5. Trained on Flux.2 Klein 9B Base, works both on Base and Not-Base.

A slider is a tiny Lora designed to affect a specific part of the image without changing other parts of the image.

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\"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the models.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 flux-2-klein-9b-fp8.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. 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\"88a89c64-6b6a-4972-b501-d4ecbb5a0ec0\", \"revision\": 0, \"last_node_id\": 146, \"last_link_id\": 244, \"nodes\": [{\"id\": 98, \"type\": \"MarkdownNote\", \"pos\": [520, 670], \"size\": [210, 88], \"flags\": {}, \"order\": 0, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"title\": \"Note\", \"properties\": {}, \"widgets_values\": [\"Click on the top-right corner of the node to open the [subgraph](https://docs.comfy.org/interface/features/subgraph) \\n\\ud83d\\udc47\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 97, \"type\": \"MarkdownNote\", \"pos\": [-680.87519460681, 840.1934199834963], \"size\": [480, 610], \"flags\": {}, \"order\": 1, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the models.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 flux-2-klein-9b-fp8.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first 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Suggested tags: Blend the <object> into the image seamlessly

Suggested strength: 0.8-1.0

Suggested usage: Inspired by the Image Fusion model for Qwen Image Edit.

The purpose is to run a single image that already has a roughly cutout image of objects, people, cars, etc and run it through the model to make it blend seamlessly into backgrounds, onto people, all kinds of things. The more simple the task the better it does. See the before/after examples for what it can do currently. The after images should still have their workflow if you need a workflow.

Tried something complex like a UFO floating in a city and it created a dropshadow in the sky unfortunately, but that may be for a V2.

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Suggested tags: Blend the <object> into the image seamlessly

Suggested strength: 0.8-1.0

Suggested usage: Inspired by the Image Fusion model for Qwen Image.

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Tried something complex like a UFO floating in a city and it created a dropshadow in the sky unfortunately, but that may be for a V2.

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\\n\\ud83d\\udc47\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 97, \"type\": \"MarkdownNote\", \"pos\": [-680.87519460681, 840.1934199834963], \"size\": [480, 610], \"flags\": {}, \"order\": 1, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the models.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 flux-2-klein-9b-fp8.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. 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\"88a89c64-6b6a-4972-b501-d4ecbb5a0ec0\", \"revision\": 0, \"last_node_id\": 146, \"last_link_id\": 244, \"nodes\": [{\"id\": 98, \"type\": \"MarkdownNote\", \"pos\": [520, 670], \"size\": [210, 88], \"flags\": {}, \"order\": 0, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"title\": \"Note\", \"properties\": {}, \"widgets_values\": [\"Click on the top-right corner of the node to open the [subgraph](https://docs.comfy.org/interface/features/subgraph) \\n\\ud83d\\udc47\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 97, \"type\": \"MarkdownNote\", \"pos\": [-680.87519460681, 840.1934199834963], \"size\": [480, 610], \"flags\": {}, \"order\": 1, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the models.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 flux-2-klein-9b-fp8.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first 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Suggested tags: Blend the <object> into the image seamlessly

Suggested strength: 0.8-1.0

Suggested usage: Inspired by the Image Fusion model for Qwen Image Edit.

The purpose is to run a single image that already has a roughly cutout image of objects, people, cars, etc and run it through the model to make it blend seamlessly into backgrounds, onto people, all kinds of things. The more simple the task the better it does. See the before/after examples for what it can do currently. The after images should still have their workflow if you need a workflow.

Tried something complex like a UFO floating in a city and it created a dropshadow in the sky unfortunately, but that may be for a V2.

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Suggested tags: Blend the <object> into the image seamlessly

Suggested strength: 0.8-1.0

Suggested usage: Inspired by the Image Fusion model for Qwen Image.

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Tried something complex like a UFO floating in a city and it created a dropshadow in the sky unfortunately, but that may be for a V2.

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\360\237\223\270& Realism Flux & ZIT & Flux 2 Klein/extra_data-vid_2912461/model_dict-mid_2168120-vid_2912461.json" "b/klein-9b/lora/InstaPic , Ultrareal The Authentic Social Media Lora \360\237\223\270& Realism Flux & ZIT & Flux 2 Klein/extra_data-vid_2912461/model_dict-mid_2168120-vid_2912461.json" new file mode 100644 index 0000000000000000000000000000000000000000..dfe266620935de49a02190dc8f433354fc68c3d0 --- /dev/null +++ "b/klein-9b/lora/InstaPic , Ultrareal The Authentic Social Media Lora \360\237\223\270& Realism Flux & ZIT & Flux 2 Klein/extra_data-vid_2912461/model_dict-mid_2168120-vid_2912461.json" @@ -0,0 +1,1627 @@ +{ + "id": 2168120, + "name": "InstaPic : Ultrareal The Authentic Social Media Lora 📸| Realism Flux | ZIT | Flux 2 Klein", + "description": "

The Midnight Lab Series - INSTAPIC [NANO BANANA KILLER]

Bring the candid, raw, and \"perfectly imperfect\" vibe of real social media to your local machine. InstaPic has been completely re-engineered from the ground up to destroy the \"AI look.\"

We have re-trained this model specifically for the ZIT (Zeetrait) and Flux 2 Klein architectures. This is what we call a \"Nano Banana Killer\" It delivers that extreme, high-fidelity photorealism previously only available through heavy prompting or paid APIs—now optimized to run efficiently on your local GPU.

InstaPic captures the authentic soul of an Instagram feed: hard flash photography, imperfect selfie angles, and that distinct, gritty \"smartphone camera\" texture that makes characters feel present and alive.

⚙️ How to Use

This is a Style LoRA. It is the ultimate \"skin and lighting\" layer. For maximum character consistency, we recommend stacking this with your favorite character LoRAs.

  • Trigger Word: instapic, hard flash, camera flash, smartphone photo, candid, shot on iphone, high detail skin

  • Recommended Strength: 0.8 to 1.2 (Start at 1.0. Lower for a cleaner look, higher for more \"raw\" camera grit).

  • Target Models: Optimized for Zeetrait (ZIT) and Flux 2 Klein.

  • Prompts: Works great with keywords like “selfie,” “mirror selfie,” “flash photography,” “candid,” “phone camera.”

For best results use my workflow Hydra Engine 🔗

🖼️ Visual Reference & Showcases

Prompt:

A young woman with realistic skin and detailed skin texture is captured in a natural, raw, and unfiltered selfie-style shot taken with a phone, her expression soft and slightly amused as she looks directly into the camera. Her dark brown, wavy hair is loosely pinned back with a single vibrant orange flower tucked behind her ear, and her large gold hoop earrings dangle naturally as she tilts her head slightly. She wears a black top with delicate cream-colored lace trim along the neckline and straps, and a thin gold necklace with a small, ornate pendant rests just above her collarbone. Her posture is relaxed and casual, with one arm slightly raised as if she mid-sentence or posing for the moment, and her lips are slightly parted in a natural, unpolished way.

The background is a lush, sunlit garden with hanging green vines and clusters of bright orange flowers that cascade around her head, suggesting an outdoor setting during daytime. The lighting is natural, diffused sunlight with gentle shadows cast by the foliage, creating a warm, soft glow on her skin without any harsh highlights or artificial filters. The depth of field is shallow, with the background slightly blurred to emphasize her face and upper body, while the foreground is crisp and realistic. The scene feels intimate and spontaneous, as if captured in a moment of casual self-expression without any staging or artificial enhancement. There is no wet hair, no freckles, and the overall tone is organic, earthy, and unretouched

Prompt:

A young woman with realistic skin and detailed skin is captured in a candid selfie pose, looking directly at the camera with a soft, natural gaze and a subtle, relaxed smile. Her dark, long, straight hair falls loosely around her shoulders, slightly tousled as if caught in a gentle breeze, with no wetness or frizz visible. She is wearing a simple, form-fitting gray ribbed tank top that drapes naturally over her shoulders and torso, with the fabric showing subtle texture and natural creases from movement. Her posture is casual and relaxed, one arm slightly extended to hold the phone, while the other rests loosely by her side, giving the image an unposed, spontaneous feel.

The setting is a cozy, well-lit indoor space, likely a modern bedroom or living area, with soft, neutral-toned curtains and wooden furniture framing the background. Through the large window behind her, a cityscape is visible with a distinctive tower and a river, suggesting an urban location, but the indoor space is warm and intimate with muted tones no black or dark voids, only soft ambient light filtering in. The lighting is natural daylight coming from the window, casting gentle, realistic highlights on her face and hair while creating soft shadows that add depth without harshness.

The depth of field is shallow, keeping her face and upper body in sharp focus while the background is softly blurred, giving the image a raw, phone-captured feel with no filters or artificial enhancements. Her skin is natural, with no shiny or overly polished look, and no makeup or freckles just real, unretouched human skin. The entire image feels authentic, handheld, and emotionally grounded, as if taken during a quiet moment in a real, lived-in space.

Prompt:

A young woman with realistic skin and detailed natural skin texture is captured in a candid self-portrait, looking directly into the camera with a soft, gentle smile and slightly tilted head. Her dark, wavy hair falls loosely around her shoulders, appearing naturally tousled without any wetness or shine, and her eyes are clear and expressive with no makeup or artificial enhancement. She is wearing a simple white cropped tank top with thin straps, slightly fitted to her frame, paired with high-waisted light-wash denim jeans, and her posture is relaxed as if she casually taking a selfie in a public space. Her left wrist is adorned with a red scrunchie, and her right hand is slightly raised with fingers loosely curled, giving the image a spontaneous, unposed feel.

The setting is an indoor market or food stall area with tiled flooring, warm ambient lighting that feels natural and unfiltered, possibly from overhead lamps or daylight filtering through windows, casting soft, realistic shadows across her body and the surroundings. The background includes blurred market stalls with stacked boxes and items, creating a shallow depth of field that keeps the focus firmly on her. The overall color palette is muted and neutral, with earthy tones and warm lighting that avoids any artificial or stylized effects. There are no sharp filters or glossy skin enhancements, and the lighting feels organic, as if shot on a phone with a slightly tilted angle, capturing the raw, authentic moment without any post-processing smoothing or dramatic effects

📝 InstaPic Fair Use License

I believe in empowering creators. My license is designed to let you create freely while protecting the model file itself.

1. The Fair Use Grant (What you CAN do)

  • Create & Sell Art: You CAN use images generated with this model for any personal, artistic, or commercial projects.

  • Monetize: You CAN sell your generations (prints, commissions, Patreon sets, etc.).

2. Core Restrictions (What you CANNOT do)

  • No Resale: You MAY NOT resell this LoRA file or its derivatives on any platform.

  • No Hosting: You MAY NOT upload this model to generation services (generation farms) without my explicit permission.

⚡ Access The Full Professional Arsenal

This is a foundational style asset. For artists who demand absolute authority over their creative output, my flagship workflows—like The Muse Director and The Genesis Engine—are designed to work perfectly with this LoRA.

Unlock the full power of 4K upscaling, infinite video loops, and automated Art Direction at The Midnight Lab.

>>Explore The Midnight Lab on Gumroad<<

💬 Support the Development

Training a \"Nano Banana Killer\" locally requires immense R&D time. If you enjoy the realism of InstaPic, please leave a review and upload your images to the gallery. Seeing your results is what keeps the Lab running and helps me tune v2.0 to be even better.

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0000000000000000000000000000000000000000..e290aa03d90fd4825dd182e07e5f77c851d8bc80 --- /dev/null +++ b/klein-9b/lora/Instagramification/extra_data-vid_2745709/model_dict-mid_1379962-vid_2745709.json @@ -0,0 +1,718 @@ +{ + "id": 1379962, + "name": "Instagramification", + "description": "

For the Z Image Turbo model:

If you're using ComfyUI versions 0.3.76 or more, use the pruned lora version

If you still have an older version of Comfy, use the not pruned version.

More explanations in this article: ComfyUI Updates Changed My Z-Image Turbo LoRA Output (and How I Fixed It)

A mix of many attractive Instagram influencers

This lora will make the girls look like Instagram influencer: big lips with lipstick, flawless tan skin, large breasts, perfect hair, makeup, etc

Based on the same datasets as my popular Instagram Baddies Loras.

Trained on Wan2.1-T2V-14B

Works both for T2V and for I2V.

1.5 Version

PONY version

SDXL Version

🙏 If you like this model, please click the Like button and post some pictures, it really helps for visibility! 🙏

Access all my celebrities LoRAs or request a custom Lora

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"name": "Intimate areas swapper", + "description": "

Intimate areas swapper

This model is for replacing nipples etc. in an existing image with those in a reference image.

Please use the same style, pose, and angle of view for the original image and reference image as much as possible. If they differ significantly, the replacement may fail.

Since it is trained in anime/illustration style, we cannot guarantee that it will work with live-action images.

for Flux2 Klein 9B

Trigger:

add nipples. add pussy.

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There's already a few other penis LoRAs available, so consider this just another variation.

A Flux Klein 9B LoRA intended to create different types of penises on different types of skin tones, though it still needs some work. As a disclaimer, please use this model responsibly, particularly when using the edit feature.

This was trained on a mix of high resolution close-ups and full body photos of various penises. 76 images overall. Most were flipped on the x-axis but some weren't due to text being in the image.

Trigger words: penis, erect, foreskin, uncircumcised, flaccid, hung

Current Issues:

Sometimes the penises get generated on clothes or melds into it.

Penises still tends to flop down even when prompting \"erect\".

Colors might be more faded than usual.

There's a lot of hand and body proportion jank. Generating with 8 steps on the distilled model may help with this but not always.

Penises from a \"dick pic\" angle shows the frenulum.

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for S&R\": \"ConditioningZeroOut\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": []}, {\"id\": 97, \"type\": \"MarkdownNote\", \"pos\": [-600, 810], \"size\": [480, 610], \"flags\": {}, \"order\": 3, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the models.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- 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\"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": []}, {\"id\": 97, \"type\": \"MarkdownNote\", \"pos\": [-600, 810], \"size\": [480, 610], \"flags\": {}, \"order\": 3, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the models.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 flux-2-klein-9b-fp8.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. 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\"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": []}, {\"id\": 97, \"type\": \"MarkdownNote\", \"pos\": [-600, 810], \"size\": [480, 610], \"flags\": {}, \"order\": 3, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the models.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 flux-2-klein-9b-fp8.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. 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[65.15158078018277, 508.6684875320053]}}, \"version\": 0.4}}", + "sampler": "Euler", + "additionalResources": [ + { + "name": "klein_slider_anatomy2_000000050.safetensors", + "type": "lora", + "strength": 4 + } + ] + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/Klein Anatomy & Quality Fixer/extra_data-vid_2615554/model_dict-mid_2324991-vid_2615554.json b/klein-9b/lora/Klein Anatomy & Quality Fixer/extra_data-vid_2615554/model_dict-mid_2324991-vid_2615554.json new file mode 100644 index 0000000000000000000000000000000000000000..2c4fa1d5484351e64bb3d8716854957ac0fefc59 --- /dev/null +++ b/klein-9b/lora/Klein Anatomy & Quality Fixer/extra_data-vid_2615554/model_dict-mid_2324991-vid_2615554.json @@ -0,0 +1,307 @@ +{ + "id": 2324991, + "name": "Klein Anatomy / Quality Fixer", + "description": "

v1.0 - changes anatomy and overall picture quality
v1.5 - only changes anatomy
4B - only changes anatomy

This concept slider LoRA was trained to correct the anatomy / quality issues with Klein models.

The LoRA can't fix everything but it helps. It was basically trained so that negative weights have the effect of a negative stable-diffusion prompt, and positive have the opposite effects.

Weight 2.0 mostly keeps the seed intact and can be used to fix minor glitches, 3.0 fixes some more prominent artifacts.

The LoRA also improves a bit the overall quality of the picture, makes the picture more \"clean\".

Note on the 4B version:
I never managed to generate good quality images without the LoRA, so I didn't post images for it. I was able to confirm that the LoRA behaves similarily to the 9B version, but I probably won't update it unless the bad quality of the 4B model is due to my workflow.

Hope you like it!

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Only anatomy changes on this version

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4B version, I never managed to have a good quality image with 4B so this is untested.

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Klien Fixes (NSFW)

This could be categorized as a anatomically accurate lora for females.

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  • Vulva

  • Anus

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🧬 Klein's Anatomy: Male

Discord: https://discord.gg/3zj872NEYZ

A highly detailed anatomical LoRA trained on natural language captions.

The current version is an alpha release, purely for testing and feedback.

📖 Model Overview

This model is not a standard \"tag-based\" LoRA. It leverages the advanced text encoder capabilities of FLUX to understand semantic context, lighting, and scene composition. The goal is to deliver superior anatomical accuracy - specifically for men.

⚙️ Technical Specifications

Base Model: FLUX.2 Klein 9B-base (Use the fp8 version for best stability)

Trigger Phrase: circumcised penis (!! READ MORE BELOW !!)

Training Res: 1024px (Native), samples generated at 1080p.

Use LoRA loader with clip connection for best results.

🎨 Prompting Strategy: \"Natural Language\"

🛑 STOP TAG SPAM.

Do not use comma-separated lists like: 1man, solo, realistic, bedroom.

✅ USE DESCRIPTIVE SENTENCES.

Prompt as if you are describing a photograph to a blind person. Focus on sentence structure, flow, and adjectives.

💡 The Semantic Anchor

While there is no \"hard\" trigger word, the phrase circumcised penis appears in almost every training caption.

How to use it: Integrate this phrase naturally into your sentence (e.g., \"...showing detailed anatomy including a circumcised penis...\"). This acts as a semantic anchor, signaling the model to prioritize anatomical stability and prevent \"morphing.\"

📝 Sample Prompt

Copy this style for best results:

A photo of a 30-year-old man taking a shower behind clear glass. He is muscular with broad shoulders and defined abs, water running down his chest and glistening on his tan skin. He is washing his hair with one hand raised, while his other arm rests against the tiled wall. He is fully naked, and his flaccid circumcised penis hangs naturally. The lighting is bright and overhead, creating high contrast on his wet skin and muscle definition. He looks down with eyes closed, enjoying the warm water.

🚧 Development Status: Alpha/Beta

This LoRA is a Work In Progress (WIP).

  • Inconsistency: Some seeds are perfect; others may distort.

  • Lighting: Complex lighting can sometimes break anatomy. If you get errors, try simplifying to \"natural light\" or \"soft studio lighting.\"

  • Anatomical Bias: The current version has a strong bias towards generating exaggerated/very large anatomical size. This is an unintended artifact (as the training data does not reflect this) and I am working to correct it in future training runs.

  • Updates: Expect behavior changes between versions as the dataset expands.

📸 Help Improve the Model

We need more data. The current dataset lacks selfie angles and handheld perspectives.

Requirements: You must be 18+, and must be the owner of the dataset (not randomly downloaded data).

How to Join: Join The Weight Room Discord server to contribute secure training data.

👉 Join The Weight Room Discord

⚠️ LICENSE WARNING: READ CAREFULLY

🛑 NON-COMMERCIAL USE ONLY

This LoRA is built on FLUX.2 Klein 9B, which is released under a strict Non-Commercial License.

❌ NO Paid Generations / Commissions

❌ NO Patreon / Subscribestar / Monetized Feeds

❌ NO Stock Photography Sales

By using this model, you agree to comply with the original FLUX.2 Klein 9B licensing terms.

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  • Improved penis sizes

  • Improved skin texture

  • Seems great at 1920x1080? Needs more tests.

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  • Experimental 4B lora model

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🚀 Initial Alpha Release (v0.1)

This is the first public test of Klein's Anatomy: Male.

* ⚠️ Status: Heavy WIP. Expect inconsistency between seeds. Some outputs will be anatomically perfect; others may distort or fail, especially with complex lighting.

* 📝 Prompting: Trained on Natural Language. Do not use tag spam. Use full sentences.

* 💡 Tip: Use the phrase \"circumcised penis\" in your sentence as a semantic anchor to stabilize penis anatomy.

* 📢 Feedback: I need your help! Please post images and feedback in the comments or join The Weight Room Discord to report bugs.

* 📸 Data: I am actively looking for more training data (especially selfies). See the main description for how to contribute.

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--git a/klein-9b/lora/Klein's Anatomy, Male/extra_data-vid_2767104/model_dict-mid_2364523-vid_2767104.json b/klein-9b/lora/Klein's Anatomy, Male/extra_data-vid_2767104/model_dict-mid_2364523-vid_2767104.json new file mode 100644 index 0000000000000000000000000000000000000000..da95dd42e8725f461927d903415f132113e3582d --- /dev/null +++ b/klein-9b/lora/Klein's Anatomy, Male/extra_data-vid_2767104/model_dict-mid_2364523-vid_2767104.json @@ -0,0 +1,718 @@ +{ + "id": 2364523, + "name": "Klein's Anatomy: Male", + "description": "

🧬 Klein's Anatomy: Male

Discord: https://discord.gg/3zj872NEYZ

A highly detailed anatomical LoRA trained on natural language captions.

The current version is an alpha release, purely for testing and feedback.

📖 Model Overview

This model is not a standard \"tag-based\" LoRA. It leverages the advanced text encoder capabilities of FLUX to understand semantic context, lighting, and scene composition. The goal is to deliver superior anatomical accuracy - specifically for men.

Revamped Uncut and Cut

We dedicated nearly 1,000 hours across multiple training runs to develop this version of the model. We also developed custom tooling to create a cleaner, higher-quality dataset with more accurate captions.

Key Improvements

  • Strong emphasis on removing plastic-like skin textures.

  • Unified support for both cut and uncut penises in the same LoRA (uncut is experimental and may need more prompt guidance).

Trigger & Prompting Guide

  • Always use clinical, descriptive language for best results. However, tags work okay in this version.

  • Do NOT use slang like \"cock\", \"dick\", \"shaft\", etc. Stick to \"penis\" consistently.

  • For uncut: Include \"uncut penis\" in your prompt.

  • For cut: Include \"circumcised penis\" (or just \"penis\" if you want the model to decide).

  • For flaccid: Try \"small flaccid uncut penis\" or \"small flaccid circumcised penis\" to counteract any residual erect bias. This is still a work in progress.

Recommended Generation Settings

  • CFG Scale: 3.0 (keeps things natural and avoids overcooking)

  • Sampler: res_multistep

  • Steps: 25+

  • Aspect Ratio: Trained mostly on 9:16 (portrait/vertical) - works best for full-body or focused genital shots, but flexible horizontally too.

⚙️ Technical Specifications

Base Model: FLUX.2 Klein 9B-base (Use the fp8 version for best stability)

Trigger Phrase: circumcised penis (uncut penis for uncut) (!! READ MORE BELOW !!)

Training Res: 1024px (Native), samples generated at 1080p.

Use LoRA loader with clip connection for best results.

🎨 Prompting Strategy: \"Natural Language\"

🛑 STOP TAG SPAM.

Do not use comma-separated lists like: 1man, solo, realistic, bedroom.

✅ USE DESCRIPTIVE SENTENCES.

Prompt as if you are describing a photograph to a blind person. Focus on sentence structure, flow, and adjectives.

💡 The Semantic Anchor

While there is no \"hard\" trigger word, the phrase circumcised penis appears in almost every training caption.

How to use it: Integrate this phrase naturally into your sentence (e.g., \"...showing detailed anatomy including a circumcised penis...\"). This acts as a semantic anchor, signaling the model to prioritize anatomical stability and prevent \"morphing.\"

📝 Sample Prompt

Copy this style for best results:

A photo of a 30-year-old man taking a shower behind clear glass. He is muscular with broad shoulders and defined abs, water running down his chest and glistening on his tan skin. He is washing his hair with one hand raised, while his other arm rests against the tiled wall. He is fully naked, and his flaccid circumcised penis hangs naturally. The lighting is bright and overhead, creating high contrast on his wet skin and muscle definition. He looks down with eyes closed, enjoying the warm water.

🚧 Development Status: Alpha/Beta

This LoRA is a Work In Progress (WIP).

  • Inconsistency: Some seeds are perfect; others may distort.

  • Lighting: Complex lighting can sometimes break anatomy. If you get errors, try simplifying to \"natural light\" or \"soft studio lighting.\"

  • Updates: Expect behavior changes between versions as the dataset expands.

📸 Help Improve the Model

We need more data. The current dataset lacks selfie angles and handheld perspectives.

Requirements: You must be 18+, and must be the owner of the dataset (not randomly downloaded data).

How to Join: Join The Weight Room Discord server to contribute secure training data.

👉 Join The Weight Room Discord

⚠️ LICENSE WARNING: READ CAREFULLY

🛑 NON-COMMERCIAL USE ONLY

This LoRA is built on FLUX.2 Klein 9B, which is released under a strict Non-Commercial License.

❌ NO Paid Generations / Commissions

❌ NO Patreon / Subscribestar / Monetized Feeds

❌ NO Stock Photography Sales

By using this model, you agree to comply with the original FLUX.2 Klein 9B licensing terms.

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We dedicated nearly 1,000 hours across multiple training runs to develop this version of the model. We also developed custom tooling to create a cleaner, higher-quality dataset with more accurate captions.

Alongside the main release, you may also see a version called Klein_Anatomy_Revamped_Extra in the files section (290MB). This is the exact same model trained for roughly 2,000 additional steps. Nothing else was changed. The extra training time may or may not produce slightly different results depending on the prompt. Some users may prefer it, while others may prefer the earlier checkpoint. I find the extra 2k works better on some stubborn prompts, while the other is better for some other prompts.

Both versions are provided so users can choose whichever one works better for their workflow.

Key Improvements

  • Strong emphasis on removing plastic-like skin textures.

  • Unified support for both cut and uncut penises in the same LoRA (uncut is experimental and may need more prompt guidance).

Trigger & Prompting Guide

  • Always use clinical, descriptive language for best results. However, tags work okay in this version.

  • Do NOT use slang like \"cock\", \"dick\", \"shaft\", etc. Stick to \"penis\" consistently.

  • For uncut: Include \"uncut penis\" in your prompt.

  • For cut: Include \"circumcised penis\" (or just \"penis\" if you want the model to decide).

  • For flaccid: Try \"small flaccid uncut penis\" or \"small flaccid circumcised penis\" to counteract any residual erect bias. This is still a work in progress.

Recommended Generation Settings

  • CFG Scale: 3.0 (keeps things natural and avoids overcooking)

  • Sampler: res_multistep

  • Steps: 25+

  • Aspect Ratio: Trained mostly on 9:16 (portrait/vertical) - works best for full-body or focused genital shots, but flexible horizontally too.

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  • Improved penis sizes

  • Improved skin texture

  • Seems great at 1920x1080? Needs more tests.

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  • Experimental 4B lora model

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🚀 Initial Alpha Release (v0.1)

This is the first public test of Klein's Anatomy: Male.

* ⚠️ Status: Heavy WIP. Expect inconsistency between seeds. Some outputs will be anatomically perfect; others may distort or fail, especially with complex lighting.

* 📝 Prompting: Trained on Natural Language. Do not use tag spam. Use full sentences.

* 💡 Tip: Use the phrase \"circumcised penis\" in your sentence as a semantic anchor to stabilize penis anatomy.

* 📢 Feedback: I need your help! Please post images and feedback in the comments or join The Weight Room Discord to report bugs.

* 📸 Data: I am actively looking for more training data (especially selfies). See the main description for how to contribute.

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"type": "lora", + "strength": 1 + } + ] + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/Klein-9b-Turn2Real/extra_data-vid_2705482/model_dict-mid_2406218-vid_2705482.json b/klein-9b/lora/Klein-9b-Turn2Real/extra_data-vid_2705482/model_dict-mid_2406218-vid_2705482.json new file mode 100644 index 0000000000000000000000000000000000000000..920820458b9b88f1f71b7d73779b460e5debb8e3 --- /dev/null +++ b/klein-9b/lora/Klein-9b-Turn2Real/extra_data-vid_2705482/model_dict-mid_2406218-vid_2705482.json @@ -0,0 +1,141 @@ +{ + "id": 2406218, + "name": "Klein-9b-Turn2Real", + "description": "

Another Lora try to turn your anime images to real.

Prompt:

reskin this into a real photo


Or for better control:

reskin this into a [Style and Mood Annotations] photo

Such as:

reskin this into a 35mm film (Kodak Portra 400) photo

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Another Lora try to turn your anime images to real.

Prompt:

reskin this into a real photo


Or for better control:

reskin this into a [Style and Mood Annotations] photo

Such as:

reskin this into a 35mm film (Kodak Portra 400) photo

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Better realism, better anatomy, but less consistency.
ColorMatch node from KJNodes is recommended.

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You can click on the link below to try it out directly. If the effect is good, you can deploy it locally

https://www.runninghub.ai/post/2052188511582867458/?inviteCode=sdhs0trb

Fan benefits,register to get 1000 points,daily login 100 points,play 4090!Experience the super power of 48G.

🎨 Anime HD Upscale & Detail Preservation LoRA

This LoRA is specifically designed for high-definition upscaling of anime-style images. Its core strength lies in its ability to enhance resolution and clarity while meticulously preserving the original painterly texture and artistic integrity.

Key Features

  • Superior Consistency: Significant improvements in structural stability and consistency compared to SeedVR2.

  • Artifact Suppression: Effectively reduces \"over-detailing\" and color-fringe noise that often occurs during the HD upscaling process.

  • Visual Optimization:

    • Eliminates noise, blur, and chromatic aberration.

    • Refines and smooths line art.

    • Maintains the authentic \"hand-painted\" feel without making the image look plastic or over-processed.

Recommended Settings (Usage Guide)

To achieve the best results, please use the following configuration:

  • Base Model: Klein 9B V2

  • LoRA Weight: 1.0

  • Sampling Steps: 8

  • CFG Scale: 1.0

  • Sampler: Euler Ancestral (Euler a)

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SDXL

v2 is an adjuster/slider model that comes in a SDXL and SD 1.5 model variant. It's trained on front, below and from behind images. It was trained before pony and illustrious models existed but seems to work on many mixes if the weight is set high enough (more than 2 on some models)

Flux.2 Klein 9B

v7a is trained on Flux2-Klein-9B. It was trained as an image-to-image model but also seems to work for text-to-image. The main keyword used for training is \"fix her crotch\" but it is not required for it to work. To simplify training, unlike v6, this model was just trained with the slit pussy type. I may release other variants in the future.

v7b is a Flux2-Klein-9B img2img model similar to v7a, but trained on an innie pussy with a protruding clitoral hood.

Z-Image

v6 is trained on zimage (and also works with turbo). It's a multi-concept lora. Using \"pussy slit\" or \"slit\" will create an innie. Other concepts that seem to work at least some of the time in testing include \"clitoral hood\", \"spreading own vagina with fingers, one hand\", \"spreading own pussy with both hands\", \"penis\", and \"vaginal sex\"

v3 is trained for z-image turbo. It's an adjuster/slider model with no keyword needed.

Qwen

v4 is trained for qwen-image-edit-2511. It should handle input images in most styles including anime or furry content. it should also do a better job of drawing buttholes than previous models and also supports images with anal penetration (vaginal penetration not trained). The main activation keywords to use are either \"adjust her pussy\", \"adjust her pussy and anus\", or \"adjust her pussy, anal\"

Chroma

v5 is trained for Chroma. It works best when the keyword \"cleft of venus\" is used.

Stable Diffusion 1.5

v1 is an SD 1.5 adjuster/slider model. It's trained only on low angle images from the front.

v2 is trained on images from more angles (note there are 2 different v2 models. An SD 1.5 version and a SDXL version)

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Another Klein I2I LoRA. Protruding clitoral hood edition

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This is an Image-To-Image model trained on Klein-9B. It's trained to take one control input image. The optional keyphrase is 'fix her crotch' and can be used with other edit instructions in the same prompt.

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Same as v2.0 SDXL but added missing blocks with zero weight since some tools break if there are blocks missing.

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Identical to v2 but includes all lora modules. Use this if the software you're using can't handle the other v2 release.

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SDXL

v2 is an adjuster/slider model that comes in a SDXL and SD 1.5 model variant. It's trained on front, below and from behind images. It was trained before pony and illustrious models existed but seems to work on many mixes if the weight is set high enough (more than 2 on some models)

Flux.2 Klein 9B

v7a is trained on Flux2-Klein-9B. It was trained as an image-to-image model but also seems to work for text-to-image. The main keyword used for training is \"fix her crotch\" but it is not required for it to work. To simplify training, unlike v6, this model was just trained with the slit pussy type. I may release other variants in the future.

v7b is a Flux2-Klein-9B img2img model similar to v7a, but trained on an innie pussy with a protruding clitoral hood.

Z-Image

v6 is trained on zimage (and also works with turbo). It's a multi-concept lora. Using \"pussy slit\" or \"slit\" will create an innie. Other concepts that seem to work at least some of the time in testing include \"clitoral hood\", \"spreading own vagina with fingers, one hand\", \"spreading own pussy with both hands\", \"penis\", and \"vaginal sex\"

v3 is trained for z-image turbo. It's an adjuster/slider model with no keyword needed.

Qwen

v4 is trained for qwen-image-edit-2511. It should handle input images in most styles including anime or furry content. it should also do a better job of drawing buttholes than previous models and also supports images with anal penetration (vaginal penetration not trained). The main activation keywords to use are either \"adjust her pussy\", \"adjust her pussy and anus\", or \"adjust her pussy, anal\"

Chroma

v5 is trained for Chroma. It works best when the keyword \"cleft of venus\" is used.

Stable Diffusion 1.5

v1 is an SD 1.5 adjuster/slider model. It's trained only on low angle images from the front.

v2 is trained on images from more angles (note there are 2 different v2 models. An SD 1.5 version and a SDXL version)

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Another Klein I2I LoRA. Protruding clitoral hood edition

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This is an Image-To-Image model trained on Klein-9B. It's trained to take one control input image. The optional keyphrase is 'fix her crotch' and can be used with other edit instructions in the same prompt.

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The SDXL release of labiaplasty v2

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Identical to v2 but includes all lora modules. Use this if the software you're using can't handle the other v2 release.

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V3

New and improved restructured training and captioning, higher quality image training, trained in nudity so now works without additional nsfw lora much better, keeps style really good
Lora strength 0.4-1.25 what i tested

No trigger, most prevalent phrase in captioning - leaked nudes style

Better to use either way with already finetuned models, but does work for any Flux Klein 9b, if there are errors, please leave a detailed comment, or hit me up in messages, i will really try to help and understand the issue myself

Example prompts are in images and more phrases that are semi-consistent - casual, intimate, selfie

V2

Additional training on top of base lora with new smaller set of images/poses
Overall quality update, increased amateurishness of results, style adherence

Lora strength 0.2-1.2, needs either already finetuned on nudity model or nsfw lora in addition, lower strength for 9b with turbo and img2img


V1

Trained on Flux Klein 9b Base
The dataset consists of images from free resources posted with consent, like reddit, onlyfans etc...
Style adherence of amateurish self photo/selfie is pretty good
Works well on both Klein 9b and 9b Base, works well on basic model with a little prompt push or/and with nsfw loras, as well as already finetuned models, change prompt/strength for better results. Amateurishness of results vary from these different methods
strength 0.75-1.25

If you want some improvements i am open to suggestions

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Overall quality update on top of original version, better style adherence

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She stands awkwardly in a pond in a city park. her legs are submeged in water. blown-out highlights and crushed shadows. She wears white office blouse with black tie and black pvc wet pencil skirt. looking at the viewer, subtle smile expression, a black ring on her lower lip. In her left hand, she holds a cardboard with handwritten text \"Shot on Lenovo K910\", another her hand point at this cardboard. Background: grainy bushes, reflective water with light artifacts. Daytime" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/Lenovo UltraReal/extra_data-vid_2682771/model_dict-mid_1662740-vid_2682771.json b/klein-9b/lora/Lenovo UltraReal/extra_data-vid_2682771/model_dict-mid_1662740-vid_2682771.json new file mode 100644 index 0000000000000000000000000000000000000000..417b37bef25ccd8344e7999767f98e09528d226f --- /dev/null +++ b/klein-9b/lora/Lenovo UltraReal/extra_data-vid_2682771/model_dict-mid_1662740-vid_2682771.json @@ -0,0 +1,2158 @@ +{ + "id": 1662740, + "name": "Lenovo UltraReal", + "description": "

--Anima
Trained on anima3. Recommended strength: 0.6.

Works best with block filtering — I created a ComfyUI nodepack for this: ComfyUI-LoRA-Block-Filter. Examples generated alongside my other LoRA — nicegirls.
Experimental version. Results may vary depending on prompt and block weight settings.


--Flux2
I use it with res2m+beta57, guidance 4, and it works very well. The quality is similar to my Qwen Lenovo, but I noticed that Flux2 is more flexible and has better prompt adherence.
Recommend to use with strength 0.85-0.9

-- Z-image Turbo
Actually i'm not sure that my workflow is correct, i believe the result could be better
Recommend to use with strength 0.80-0.9
I used euler + sgm_uniform with 4 guidance
P.S: at this moment for ComfyUI u need this pack to load lora properly https://github.com/PGCRT/CRT-Nodes

--Chroma
My first try to train lora that enhance realism in Chroma.
I'll upload my workflow today a lil bit later (or atm u can just take it from images) cause there some nuances about settings. But from my observations i noticed that for fast gen dpmpp2m + beta with cfg 3 works good . More experimental settigns are res_2s_rkmk2e + beta57 and cfg 3, more accurate gens, better limbs and fingers, but gives a bit weird grain on very small details + plus this method is pretty long

--Qwen
Works perfectly and much better then other versions. Gives extremely \"live\" images with amateurish quality with dramatic light and shadows, some blur and with vibe of 2000s street photography
You can take workflow here https://huggingface.co/Danrisi/Lenovo_Qwen/resolve/main/Qwen_danrisi.json
Thanx to fox23vang226. i understood that it's possible (and even have better effect) to use lora with values 1.5 - 2.0.
P.S.: almost all example images generate with both loras (NiceGirls)

--Wan
This is the first release — mainly a test to explore Wan's capabilities.
Note: In this initial version, facial details are somewhat lacking. For better results, I recommend using it alongside the Instagirls LoRA by my friend, which significantly enhances facial features.

--Flux
Who needs a fancy name when the shadows and highlights do all the talking? This experimental LoRA is the scrappy cousin of my Samsung one—same punchy light-and-shadow mojo, but trained on a chaotic mix of pics from my ancient phones (so no Samsung for now)

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Klein - K3NK/extra_data-vid_2710450/model_dict-mid_2327401-vid_2710450.json @@ -0,0 +1,590 @@ +{ + "id": 2327401, + "name": "M4CROM4STI4 - Huge Natural Breasts - Flux .2 Klein - K3NK", + "description": "

Macromastia large brasts lora for Flux .2 Klein

  • Trained on Diffusion Pipe on 1552 images (v2 trained on 2886 images, it produces better genitalia now)

  • Trained at 512, 720, 1024 buckets

  • used 9B Base model for training

The workflow im using is embeded inside the images, drag 'n drop into comfyui

Example prompt

A naked woman with gigantic pendulous breasts, wide hips and hairless pussy smiles at the viewer. RGB lighting. The background is black.
a woman who has gigantic macromastia large pendulous breasts with ptosis and nipples pointing downwards. She has large saggy breasts.
A Japanese adult magazine cover with the title K3NK features a voluptuous woman with large, heavy breasts, with her skin fully naked and shiny. Her skin is fair, and her long, brown hair cascades over her shoulders. She is posed seductively on a bed, with her legs spread apart, showcasing her curvaceous figure. The lighting is soft, highlighting her ample cleavage and toned body. The background includes text in Japanese, with a pink and black color scheme. The overall image conveys a sense of eroticism and allure.

Have fun! 😜

***** This LoRA is provided as is and intended for lawful and responsible use.

It acts as a general-purpose refinement layer, influencing how the base model expresses prompts and concepts rather than performing direct transformations. The resulting output is always driven by the prompt and the capabilities already present in the underlying base model.

The LoRA does not rely on paired inputs, before/after examples, or transformation-specific training. It focuses on improving coherence, detail, and stability across generations, including mature-themed outputs already supported by the base model.

No specialized datasets targeting identity exposure or content reconstruction were used during training. All faces and potentially identifiable features were masked or anonymized throughout the training process.

By downloading or using this LoRA, you accept full responsibility for its use and agree to comply with all applicable laws and platform rules.*****

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end of file diff --git a/klein-9b/lora/MCSC - Minecraft Skin Creator/extra_data-vid_2828017/model_dict-mid_2504687-vid_2828017.json b/klein-9b/lora/MCSC - Minecraft Skin Creator/extra_data-vid_2828017/model_dict-mid_2504687-vid_2828017.json new file mode 100644 index 0000000000000000000000000000000000000000..8eb2a29d7295e1d86fe522d3afdda1fc8901afc4 --- /dev/null +++ b/klein-9b/lora/MCSC - Minecraft Skin Creator/extra_data-vid_2828017/model_dict-mid_2504687-vid_2828017.json @@ -0,0 +1,550 @@ +{ + "id": 2504687, + "name": "MCSC - Minecraft Skin Creator", + "description": "

🌌 Overview
This LoRA is designed to generate high-quality Minecraft skins with exceptional accuracy, converting characters or people into clean and usable 64×64 texture maps.

🧩 Recommended Settings

  • Trigger word: MCSC:

  • Strength: 1.2 – 1.5

  • Resolution: 512x512

  • Samplers: Euler Ancestral, ICM, er_sde, sa_solver

💡 Pro Tip

Use this prompt for best results:
V1:

MCSC: transform this person into a 64x64 pixel texture for a minecraft texture.

V2 & V3:

MCSC: transform this person into a 64x64 Minecraft skin texture with aligned UV layout, strict pixel grid, hard edges, consistent and coherent pixel placement across all body parts.

Txt2Img:

MCSC: 64x64 Minecraft skin texture with aligned UV layout, strict pixel grid, hard edges, consistent and coherent pixel placement across all body parts, <prompt here>

📝 V3 & Text-to-Image Notes

At this stage, the model is considered close to its practical limit. Further improvements would likely result in diminishing returns, making Version 3 the final release of this LoRA.

A Text-to-Image variant is included, allowing direct generation of Minecraft skins without requiring a reference image.

Consistency in V3 is improved over both V1 and V2. Detail levels are more balanced — generally higher than V2, though occasionally slightly below V1. This reflects an inherent trade-off between detail and consistency.

All evaluations and showcase results were produced under a controlled baseline using consistent prompts, resolution, and generation settings. Variations outside this setup were not extensively tested, as the model was designed around this workflow.

Users are encouraged to experiment beyond this baseline — including prompt variation, resolution changes, higher-resolution inputs, and multi-pass workflows (such as second-pass refinement). Alternative pipelines may produce results that surpass the provided showcase, which is intentionally representative rather than optimized.

Feedback and community interaction are welcome. Suggestions, ideas, and new concepts are encouraged via Discord or community channels.

This marks the conclusion of development for this LoRA. Future releases — including new models, concepts, and utility-focused tools — are planned.

⚠️ Known Limitations & Recommendations

  • The recommended strength range for all loras is 1.1 to 1.5. Values outside this range may degrade quality.

  • A latent resolution of 512×512 is required for optimal performance.

  • Generation quality can vary significantly between seeds. Some seeds may produce near-perfect outputs, while others can result in visible artifacts such as pixel inconsistencies, misalignment, or structural errors.

  • Higher-quality, cleaner, and more consistent inputs tend to produce significantly better and more stable results, while low-quality inputs may lead to noisier or less accurate skins.

  • The model was trained exclusively on full-body images. Inputs that do not follow this format may lead to inconsistent or unintended results.

  • Inputs with excessive detail or visual complexity may not translate well into the 64×64 format.

  • Scenes that are not clean — such as images with multiple characters, background activity, or interactions with the main subject — often lead to degraded quality and structural distortions. For best results, use a single, clearly isolated character.

  • Characters holding objects (such as weapons or accessories) may cause distortions in the generated skin, as the model does not reliably distinguish between the character and attached elements. It is recommended to remove any items such as weapons, hats, bandanas, or accessories that should not appear in the final texture.

  • Due to the training being based primarily on front-facing full-body images, the back side of the character is inferred by the model rather than learned directly. In practice, this often results in a mirrored or approximate reconstruction of the front, which is inherently prone to errors.

For best results, it is strongly recommended to generate multiple seeds and select the best outcome. For professional use, additional manual refinement is advised — editing and correcting the generated skin to ensure full accuracy.

In most cases, the model completes the majority of the work, with only final adjustments required. Occasionally, a near-perfect result may be obtained directly depending on the seed, but this should be considered situational rather than consistent behavior.

🧑‍🎮 How to Use a Generated Skin in Minecraft

After generating your image, you will notice a purple mask covering the texture. This mask must be removed before use.

Use the script convertToOriginal.py to:

  • Remove the purple mask

  • Convert the image to the correct 64×64 Minecraft format

📥 Download Script:
https://drive.google.com/file/d/1wlEAAOvfg_OJR-ctAyEPsg7OiV5IKE5h/view?usp=sharing

👀 Preview Your Skin:
https://customuse.com/free-tools/minecraft-clothes-preview?_x_tr_hist=true

⚙️ How to Install & Run the Script

  • Install Python (if not already installed)

  • Install the required library:

pip install pillow numpy

  • Place your generated image in the same folder as the script

  • Run:

python convertToOriginal.py ./

  • The script will generate a clean 64×64 skin ready for Minecraft

👤 Contact & Support

💬 Discord: hex_wave
💖 Brazilian Discord server: https://discord.gg/kMWpCwUCYw

If you enjoy this work, consider supporting:
☕ https://ko-fi.com/retrowavex32

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Creator/extra_data-vid_2828040/model_dict-mid_2504687-vid_2828040.json b/klein-9b/lora/MCSC - Minecraft Skin Creator/extra_data-vid_2828040/model_dict-mid_2504687-vid_2828040.json new file mode 100644 index 0000000000000000000000000000000000000000..8eb2a29d7295e1d86fe522d3afdda1fc8901afc4 --- /dev/null +++ b/klein-9b/lora/MCSC - Minecraft Skin Creator/extra_data-vid_2828040/model_dict-mid_2504687-vid_2828040.json @@ -0,0 +1,550 @@ +{ + "id": 2504687, + "name": "MCSC - Minecraft Skin Creator", + "description": "

🌌 Overview
This LoRA is designed to generate high-quality Minecraft skins with exceptional accuracy, converting characters or people into clean and usable 64×64 texture maps.

🧩 Recommended Settings

  • Trigger word: MCSC:

  • Strength: 1.2 – 1.5

  • Resolution: 512x512

  • Samplers: Euler Ancestral, ICM, er_sde, sa_solver

💡 Pro Tip

Use this prompt for best results:
V1:

MCSC: transform this person into a 64x64 pixel texture for a minecraft texture.

V2 & V3:

MCSC: transform this person into a 64x64 Minecraft skin texture with aligned UV layout, strict pixel grid, hard edges, consistent and coherent pixel placement across all body parts.

Txt2Img:

MCSC: 64x64 Minecraft skin texture with aligned UV layout, strict pixel grid, hard edges, consistent and coherent pixel placement across all body parts, <prompt here>

📝 V3 & Text-to-Image Notes

At this stage, the model is considered close to its practical limit. Further improvements would likely result in diminishing returns, making Version 3 the final release of this LoRA.

A Text-to-Image variant is included, allowing direct generation of Minecraft skins without requiring a reference image.

Consistency in V3 is improved over both V1 and V2. Detail levels are more balanced — generally higher than V2, though occasionally slightly below V1. This reflects an inherent trade-off between detail and consistency.

All evaluations and showcase results were produced under a controlled baseline using consistent prompts, resolution, and generation settings. Variations outside this setup were not extensively tested, as the model was designed around this workflow.

Users are encouraged to experiment beyond this baseline — including prompt variation, resolution changes, higher-resolution inputs, and multi-pass workflows (such as second-pass refinement). Alternative pipelines may produce results that surpass the provided showcase, which is intentionally representative rather than optimized.

Feedback and community interaction are welcome. Suggestions, ideas, and new concepts are encouraged via Discord or community channels.

This marks the conclusion of development for this LoRA. Future releases — including new models, concepts, and utility-focused tools — are planned.

⚠️ Known Limitations & Recommendations

  • The recommended strength range for all loras is 1.1 to 1.5. Values outside this range may degrade quality.

  • A latent resolution of 512×512 is required for optimal performance.

  • Generation quality can vary significantly between seeds. Some seeds may produce near-perfect outputs, while others can result in visible artifacts such as pixel inconsistencies, misalignment, or structural errors.

  • Higher-quality, cleaner, and more consistent inputs tend to produce significantly better and more stable results, while low-quality inputs may lead to noisier or less accurate skins.

  • The model was trained exclusively on full-body images. Inputs that do not follow this format may lead to inconsistent or unintended results.

  • Inputs with excessive detail or visual complexity may not translate well into the 64×64 format.

  • Scenes that are not clean — such as images with multiple characters, background activity, or interactions with the main subject — often lead to degraded quality and structural distortions. For best results, use a single, clearly isolated character.

  • Characters holding objects (such as weapons or accessories) may cause distortions in the generated skin, as the model does not reliably distinguish between the character and attached elements. It is recommended to remove any items such as weapons, hats, bandanas, or accessories that should not appear in the final texture.

  • Due to the training being based primarily on front-facing full-body images, the back side of the character is inferred by the model rather than learned directly. In practice, this often results in a mirrored or approximate reconstruction of the front, which is inherently prone to errors.

For best results, it is strongly recommended to generate multiple seeds and select the best outcome. For professional use, additional manual refinement is advised — editing and correcting the generated skin to ensure full accuracy.

In most cases, the model completes the majority of the work, with only final adjustments required. Occasionally, a near-perfect result may be obtained directly depending on the seed, but this should be considered situational rather than consistent behavior.

🧑‍🎮 How to Use a Generated Skin in Minecraft

After generating your image, you will notice a purple mask covering the texture. This mask must be removed before use.

Use the script convertToOriginal.py to:

  • Remove the purple mask

  • Convert the image to the correct 64×64 Minecraft format

📥 Download Script:
https://drive.google.com/file/d/1wlEAAOvfg_OJR-ctAyEPsg7OiV5IKE5h/view?usp=sharing

👀 Preview Your Skin:
https://customuse.com/free-tools/minecraft-clothes-preview?_x_tr_hist=true

⚙️ How to Install & Run the Script

  • Install Python (if not already installed)

  • Install the required library:

pip install pillow numpy

  • Place your generated image in the same folder as the script

  • Run:

python convertToOriginal.py ./

  • The script will generate a clean 64×64 skin ready for Minecraft

👤 Contact & Support

💬 Discord: hex_wave
💖 Brazilian Discord server: https://discord.gg/kMWpCwUCYw

If you enjoy this work, consider supporting:
☕ https://ko-fi.com/retrowavex32

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She's wearing a tanktop with cleavage, black choker, large earrings, arrogant look into the camera. Her overall style is goth. The image focuses on her massive cleavage that is resting on top of the table. Relaxed evening with soft warm light." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/Macromastia (Clothed)/extra_data-vid_2609552/118077802.mp4 b/klein-9b/lora/Macromastia (Clothed)/extra_data-vid_2609552/118077802.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..c1fca22295f58baaf9b8ce51c440a8f39aee38d6 --- /dev/null +++ b/klein-9b/lora/Macromastia (Clothed)/extra_data-vid_2609552/118077802.mp4 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c2607cd8ce350c878c7c166f770ea624712b5faccdf6526ff81a3eae07bbdfe1 +size 747960 diff --git a/klein-9b/lora/Macromastia (Clothed)/extra_data-vid_2609552/118110629.json b/klein-9b/lora/Macromastia (Clothed)/extra_data-vid_2609552/118110629.json new file mode 100644 index 0000000000000000000000000000000000000000..8def1b1d0cb04f8bb25c50bedf6c6701f7d12126 --- /dev/null +++ b/klein-9b/lora/Macromastia (Clothed)/extra_data-vid_2609552/118110629.json @@ -0,0 +1,27 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7f8eacd0-eca2-4a92-a690-62b0fbd170d9/original=true/118110629.mp4", + "nsfwLevel": 2, + "width": 560, + "height": 720, + "hash": "U6HB9.4.5m_2?]H@4;kW7f^jn4oJIWt3^jD*", + "type": "video", + "metadata": { + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "size": 896089, + "audio": false, + "width": 560, + "height": 720, + "duration": 5.063, + "nsfwLevelReason": null + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "A photo of a slim woman with macromastia lying in bed. She's wearing a soft and tight night gown. She is sleeping peacefully with her eyes closed. Calm and cozy atmosphere, light rays hitting her face and her massive cleavage gently. Camera focuses on her face and enormous breasts." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/Macromastia (Clothed)/extra_data-vid_2609552/118110629.mp4 b/klein-9b/lora/Macromastia (Clothed)/extra_data-vid_2609552/118110629.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..9ba34d15e16bbff65a7ba8132b8158b1d8ccb068 --- /dev/null +++ b/klein-9b/lora/Macromastia (Clothed)/extra_data-vid_2609552/118110629.mp4 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9bba2a4ec20faf61a644b92aaf749d86f7194c01fa1075b4c494b915485671ac +size 896089 diff --git a/klein-9b/lora/Macromastia (Clothed)/extra_data-vid_2609552/model_dict-mid_2294035-vid_2609552.json b/klein-9b/lora/Macromastia (Clothed)/extra_data-vid_2609552/model_dict-mid_2294035-vid_2609552.json new file mode 100644 index 0000000000000000000000000000000000000000..6dff5cbd20885fbdd747ab65d373a309793e66d9 --- /dev/null +++ b/klein-9b/lora/Macromastia (Clothed)/extra_data-vid_2609552/model_dict-mid_2294035-vid_2609552.json @@ -0,0 +1,1008 @@ +{ + "id": 2294035, + "name": "Macromastia (Clothed)", + "description": "

Overview

A clothed version of my other macromastia LoRA. This one here cannot produce X or XXX on its own and honestly most R would be considered PG-13.

The model is pretty straight forward. Use the trigger macromastia early in your prompt. Further descriptions to the breasts position, framing and focus can help a lot to emphasize the effect.

Sometimes it creates thicker or chubby bodies, for that you can include descriptors like slim or skinny or use negative prompts.

Values over 1.0 may produce heavy artifacts. Decrease strength if you encounter artifacts. Most samples use a strength of 0.9.

For more have a look at the example images/videos.

WAN 2.2 T2V - V1

After using the trigger macromastia, use additional triggers large, huge and gigantic to control the size further, see example video.

  • Training model: WAN 2.2 T2V

  • LoRA strength: 0.3-1.0

  • Sampler: euler / euler a

  • Use TripleKSampler with 1/4/4 steps or no lightning LoRAs at all for quality.

  • Use breast physics LoRAs to improve jiggle and motion for very large breasts. I highly recommend Huge Natural Breasts Physics at strength 0.3-0.5 for the high noise, no low noise needed or it will degrade texture quality.

macromastia, a 21-year-old ginger woman drinking a milkshake from a straw in a cafe. she's wearing a tight blouse and jeans. She has gigantic breasts and a large cleavage. Her face is pretty and freckled, she has big lips. Looking out the window, sitting at a table.

FLUX.2 [klein] 9B - V1

  • Training model: FLUX.2 [klein] Base 9B

  • LoRA strength: 0.3-1.0

  • Sampler: euler / DPM++ 2M / DPM++ 3M SDE

  • Steps: 4+

  • CFG: 1.0 (up to 5.0 with base model)

A candid photo of a woman with macromastia in a changing room. She's wearing a bra with a cleavage and panties. The dressing room's door is closed and the light is warm and dim. She's very pretty, red haired with freckles, with makeup and a seductive look. The scene is intimate and genuine.

ZIB - V1

This model may also work with Z Image Turbo on higher strengths (1.0-2.0). You can also give Z Image Distilled a try.

After using the trigger macromastia, use additional triggers large, huge and gigantic to control the size further.

Experimenting with negative prompts and strengths can be very rewarding.

  • Training model: Z Image

  • LoRA strength: 0.3-1.0 (up to 2.0 on Turbo)

  • Sampler: res_2s+beta57 / euler / res_multistep / DPM++ 3M SDE

  • Steps: 40+ (8+ on Turbo)

  • CFG: 3.0-5.0 (1.0 on Turbo)

macromastia, A high quality photo of a beautiful young woman with long flowing auburn hair standing gracefully as the central figure in a vast field of tall sunflowers during golden hour sunset. She wears a light, flowing white summer dress that catches the warm breeze and is stretched over her large breasts, her skin glowing in soft natural light, subtle smile on her face.

ZIT - V2

Not compatible with Z Image Base.

  • Training model: Z Image De-Turbo

  • LoRA strength: 0.3-1.0

  • Sampler: euler / res_multistep / DPM++ 3M SDE

  • Steps: 8+

  • CFG: 1.0

Prompt example:

A photo of a cute woman with macromastia lying on a beach towel, wearing a yellow bikini revealing her breasts. Her breasts spill out the top of her bikini, forming a significant cleavage. She's bathing in the sun smiling at the camera. A summer day and warm candid setting.

ZIT - V1

Please use V2.

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Z-Image base version with overhauled dataset. Should work well with the res_2s sampler.

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Retrained with trigger word and higher resolutions. Should perform better with fewer artifacts.

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Please use V2!

", + "trainedWords": [ + "big breasts", + "large breasts", + "extremely large breasts", + "gigantic breasts", + "cleavage", + "significant cleavage", + "large cleavage", + "focus on breasts" + ], + "covered": true, + "stats": { + "downloadCount": 569, + "thumbsUpCount": 58, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2468707, + "sizeKB": 166140.859375, + "name": "zit_macromastia_clothed.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-01-09T15:31:32.895Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "A138DF8F", + "AutoV2": "99CC1E7627", + "SHA256": "99CC1E76274818223EEC89E596C916904A48C4B816E491FB96F98DCBC31B1273", + "CRC32": "359432E8", + "BLAKE3": "13AD45984226069638527676FB249935D41732009EBC76128DFA217D2D50C326", + "AutoV3": "F30ED2764A98" + }, + "downloadUrl": "https://civitai.com/api/download/models/2581467", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/1b70bd1a-7e0a-4a2d-8c9d-bc49157242e3/original=true/118115797.mp4", + "nsfwLevel": 4, + "width": 560, + "height": 720, + "hash": "UhI:8~s:xuj@~Cofs:ayKifkr?a{o}j[WBj[", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/8bb4a251-91e3-4d9c-b80e-5ec2fe216ad8/original=true/118115799.mp4", + "nsfwLevel": 4, + "width": 560, + "height": 720, + "hash": "UOFr-Jpctmof~qtRt7RjE1V?WVWCIVMxn%t7", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4ba9a03c-6438-4c1c-b4da-b588368939c7/original=true/118115798.mp4", + "nsfwLevel": 4, + "width": 640, + "height": 640, + "hash": "ULKKp49F?v~p_M9Foy?b9HRP^*bH^+%LIoWr", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/96bdc0aa-eeae-45a4-a819-008d3071f8d2/original=true/118118293.mp4", + "nsfwLevel": 4, + "width": 560, + "height": 720, + "hash": "UFEeVy02N[xZ~UMy9vxtI:WEbatQ9]M|^jR*", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2581467" + } + ] +} \ No newline at end of file diff --git a/klein-9b/lora/Macromastia (Clothed)/f2_klein9b_macromastia_clothed-mid_2294035-vid_2609552.csv b/klein-9b/lora/Macromastia (Clothed)/f2_klein9b_macromastia_clothed-mid_2294035-vid_2609552.csv new file mode 100644 index 0000000000000000000000000000000000000000..ea7525ef6a8fd78744c279f3088093133b4523c4 --- /dev/null +++ b/klein-9b/lora/Macromastia (Clothed)/f2_klein9b_macromastia_clothed-mid_2294035-vid_2609552.csv @@ -0,0 +1,7 @@ +hash_name, hash_id +AutoV1, 30650EAE +AutoV2, 72B24354C0 +SHA256, 72B24354C08A76F353D07F8817EA23BAAA95B3F7D377A1CBCCDF312FB6DBD4D9 +CRC32, 4C59271B +BLAKE3, C39D3E96B7C8961A94D8CC19FD6A96E587CAF836803055D74C76E61FE4CD73D0 +AutoV3, 7A6930F45D7E \ No newline at end of file diff --git a/klein-9b/lora/Macromastia (Clothed)/f2_klein9b_macromastia_clothed-mid_2294035-vid_2609552.safetensors b/klein-9b/lora/Macromastia (Clothed)/f2_klein9b_macromastia_clothed-mid_2294035-vid_2609552.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..8220b30267aa6a375a64d811c7f5569a6f7786dd --- /dev/null +++ b/klein-9b/lora/Macromastia (Clothed)/f2_klein9b_macromastia_clothed-mid_2294035-vid_2609552.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:72b24354c08a76f353d07f8817ea23baaa95b3f7d377a1cbccdf312fb6dbd4d9 +size 165704480 diff --git a/klein-9b/lora/Macromastia (Naked)/extra_data-vid_2611520/model_dict-mid_2311601-vid_2611520.json b/klein-9b/lora/Macromastia (Naked)/extra_data-vid_2611520/model_dict-mid_2311601-vid_2611520.json new file mode 100644 index 0000000000000000000000000000000000000000..60f73cddbd64e16762ea2b466640aa2cff4d8ac9 --- /dev/null +++ b/klein-9b/lora/Macromastia (Naked)/extra_data-vid_2611520/model_dict-mid_2311601-vid_2611520.json @@ -0,0 +1,794 @@ +{ + "id": 2311601, + "name": "Macromastia (Naked)", + "description": "

Overview

A nude version of my other macromastia LoRA.

The model is pretty straight forward. Use the trigger macromastia early in your prompt. Further descriptions to the breasts position, framing and focus can help a lot to emphasize the effect.

Sometimes it creates thicker or chubby bodies, for that you can include descriptors like slim or skinny or use negative prompts.

Values over 1.0 may produce heavy artifacts. Decrease strength if you encounter artifacts. Most samples use a strength of 0.9.

For more have a look at the example images/videos.

WAN 2.2 T2V - V1

After using the trigger macromastia, use additional triggers large, huge and gigantic to control the size further, see example video.

  • Training model: WAN 2.2 T2V

  • LoRA strength: 0.3-1.0

  • Sampler: euler / euler a

  • Use TripleKSampler with 1/4/4 steps or no lightning LoRAs at all for quality.

  • Use breast physics LoRAs to improve jiggle and motion for very large breasts. I highly recommend Huge Natural Breasts Physics at strength 0.3-0.5 for the high noise, no low noise needed or it will degrade texture quality.

A video of a topless woman with macromastia is lying in bed, wearing just panties. She has huge breasts. View from above, she's grabbing her breasts.

FLUX.2 [klein] 9B - V1

This is a POC. Anatomy can get really messed up and multiple tries may be required. Experiment with seed and strength, as well as detailed descriptions. A higher quality update coming soon.

  • Training model: FLUX.2 [klein] Base 9B

  • LoRA strength: 0.3-1.0

  • Sampler: euler / DPM++ 2M / DPM++ 3M SDE

  • Steps: 4+

  • CFG: 1.0 (up to 5.0 with base model)

A POV image of a completely naked woman with gigantic breasts lying on a bed. The woman is nude and uncovered, looking at the camera from a slightly low angle, moaning intimately. Her belly button visible. Warm cozy bedroom setting.

ZIB - V1

This model may also work with Z Image Turbo on higher strengths (1.0-2.0). You can also give Z Image Distilled a try.

After using the trigger macromastia, use additional triggers large, huge and gigantic to control the size further.

Experimenting with negative prompts and strengths can be very rewarding.

  • Training model: Z Image

  • LoRA strength: 0.3-1.0 (up to 2.0 on Turbo)

  • Sampler: res_2s+beta57 / euler / res_multistep / DPM++ 3M SDE

  • Steps: 40+ (8+ on Turbo)

  • CFG: 3.0-5.0 (1.0 on Turbo)

A photo of a naked woman with macromastia sitting in the bathtub. She has absolutely gigantic breasts and full lips. Water in the tub, her body partially submerged in water, bubble bath. Wet hair and shiny skin.

ZIT - V1

Not compatible with Z Image Base.

  • Training model: Z Image De-Turbo

  • LoRA strength: 0.3-1.0

  • Sampler: euler / res_multistep / DPM++ 3M SDE

  • Steps: 8+

  • CFG: 1.0

Prompt example:

A photo of a topless woman with gigantic breasts is lying on her back in bed. She is taking a selfie with her arms extended towards the camera, her breasts covering part of her face and a significant part her torso. Her breasts are extremely round and massive. Focus on her breasts.

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Turns stylistic/anime/cartoon images into more realistic images. Definitely not realistic, but much more real than originally. The output style is very biased, I created the dataset myself so it was fairly limited.

I iterated through this working on the dataset a bunch of times and this one by far was the winner from all my other methods and attempts. It's incredibly hard to get flux to keep expressions, I was really trying to solve for that but failed. Maybe next iteration I'll try a higher weight.

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Best version from all of my attempts - it's far from perfect, but I've found it useful

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This is far from perfect:

  • Only works from the back

  • May try to replace any hole with an asshole or a dick

  • May create some weird nightmare images

I'm releasing because may be useful for someone...

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"https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/520c863b-9025-4858-8f76-4f463cf0e9bc/original=true/121058738.jpeg", + "nsfwLevel": 2, + "width": 816, + "height": 1136, + "hash": "UIDcXT009F-;00~qWB9Ft8IUxuxu%MIUt7xu", + "type": "image", + "metadata": { + "hash": "UIDcXT009F-;00~qWB9Ft8IUxuxu%MIUt7xu", + "size": 69217, + "width": 816, + "height": 1136, + "nsfwLevelReason": null + }, + "minor": false, + "poi": false, + "meta": { + "steps": 50, + "prompt": "Generate a picture of CGI mannequins in the exact same pose as the people in the image.\nThe mannequins should have fingers, toes, and a detailed facial expression. The mannequins do not have any hair. They have perfectly clean white skin without any discolorations. The background of the image is a plain featureless shiny black void. Do not include any objects the people in the image may or may not be interacting with.\nDo not change the woman's pose in any way." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/Mannequins & Pose References (Qwen-Image-Edit 2509, Flux 2 Klein 9B Base)/extra_data-vid_2689061/121098656.jpeg b/klein-9b/lora/Mannequins & Pose References (Qwen-Image-Edit 2509, Flux 2 Klein 9B Base)/extra_data-vid_2689061/121098656.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..561a998a9baba5ca586ab9ffeb3bbd418455699b --- /dev/null +++ b/klein-9b/lora/Mannequins & Pose References (Qwen-Image-Edit 2509, Flux 2 Klein 9B Base)/extra_data-vid_2689061/121098656.jpeg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4387c8d14c308fd2f96ea5ec90866367f1b97a5af7ed0ec2894490d362f2ad2f +size 809613 diff --git a/klein-9b/lora/Mannequins & Pose References (Qwen-Image-Edit 2509, Flux 2 Klein 9B Base)/extra_data-vid_2689061/121098656.json b/klein-9b/lora/Mannequins & Pose References (Qwen-Image-Edit 2509, Flux 2 Klein 9B Base)/extra_data-vid_2689061/121098656.json new file mode 100644 index 0000000000000000000000000000000000000000..ca3fd168ac6804e9a474b8aca50b849188700e5b --- /dev/null +++ b/klein-9b/lora/Mannequins & Pose References (Qwen-Image-Edit 2509, Flux 2 Klein 9B Base)/extra_data-vid_2689061/121098656.json @@ -0,0 +1,25 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/379a383c-5aaf-4318-a925-c22844467f84/original=true/121098656.jpeg", + "nsfwLevel": 1, + "width": 1392, + "height": 1904, + "hash": "U57ehn00%$9G?wWBM{o~VsM{x]RP9F%gMdxa", + "type": "image", + "metadata": { + "hash": "U57ehn00%$9G?wWBM{o~VsM{x]RP9F%gMdxa", + "size": 809613, + "width": 1392, + "height": 1904, + "nsfwLevelReason": "Knights Vote" + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "Generate a photograph of a woman in the exact same pose as the person in the image. The woman is wearing tight leather pants and a leather sports bra.\nThe person has fingers, toes, eyes, and a detailed facial expression.\n\nThe background of the image is a Twin Peaks-inspired wide-open liminal space with bright lights and dark shadows. Do not include any objects the people in the image may or may not be interacting with.\nDo not change the woman's pose in any way.\nHeavy rain is falling. Cinematography in the style of David Lynch." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/Mannequins & Pose References (Qwen-Image-Edit 2509, Flux 2 Klein 9B Base)/extra_data-vid_2689061/model_dict-mid_2191265-vid_2689061.json b/klein-9b/lora/Mannequins & Pose References (Qwen-Image-Edit 2509, Flux 2 Klein 9B Base)/extra_data-vid_2689061/model_dict-mid_2191265-vid_2689061.json new file mode 100644 index 0000000000000000000000000000000000000000..915119045dfd88b00c43714e8c0641ad704187a5 --- /dev/null +++ b/klein-9b/lora/Mannequins & Pose References (Qwen-Image-Edit 2509, Flux 2 Klein 9B Base)/extra_data-vid_2689061/model_dict-mid_2191265-vid_2689061.json @@ -0,0 +1,230 @@ +{ + "id": 2191265, + "name": "Mannequins / Pose References (Qwen-Image-Edit 2509, Flux 2 Klein 9B Base)", + "description": "

Creates pose dummy mannequins from reference images.

The intended use case is to use the resulting images as pose references for image generation with e.g. Nano Banana Pro or for LoRA training.

Sample prompt:

Generate a picture of abstract CGI mannequins in the exact same pose as the people in the image. The mannequins should have fingers, toes, and an abstract representation of facial expression. The mannequins do not have any hair. They have perfectly clean gray skin with a black wireframe overlaid on top without any discolorations. The background of the image is a plain featureless middle gray void. Do not include any objects the people in the image may or may not be interacting with.

You can get somewhat similar results out of base Qwen-Image-Edit with appropriate prompting, but it is a lot less consistent in my experience.

It seems to work okay with cfg = 1.0 and steps = 20. Higher cfg values can produce better results, but may affect how faithful the result is.
The 8-step Lightning LoRA can also be very viable and often produces cleaner results.

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit,Rent,Sell}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": false, + "nsfwLevel": 7, + "availability": "Public", + "userId": 3262171, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 1226, + "thumbsUpCount": 126, + "thumbsDownCount": 0, + "commentCount": 6, + "tippedAmountCount": 0 + }, + "creator": { + "username": "VV24", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/d3fbcbe1-5e27-43ef-9189-f22a572611de/width=96/VV24.jpeg" + }, + "tags": [ + "style", + "pose estimation" + ], + "modelVersions": [ + { + "id": 2689061, + "index": 0, + "name": "v1.0 (Flux.2 Klein 9B)", + "baseModel": "Flux.2 Klein 9B-base", + "baseModelType": "Standard", + "createdAt": "2026-02-14T13:50:56.902Z", + "publishedAt": "2026-02-14T14:12:42.351Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 7, + "description": "

Trained on the exact same dataset as V1 for Qwen-Image-Edit 2509.

I wouldn't necessarily recommend this version if you can run Qwen-Image-Edit because it seems Flux.2 Klein doesn't understand anatomy quite as well as Qwen-Image-Edit does. But it's probably close enough for many purposes.

Sample prompt:

Generate a picture of CGI mannequins in the exact same pose as the people in the image. The mannequins should have fingers, toes, eyes, and a detailed facial expression. The mannequins do not have any hair. They have perfectly clean white skin without any discolorations. The background of the image is a plain featureless shiny black void. Do not include any objects the people in the image may or may not be interacting with. Do not change the people's pose in any way.
", + "covered": true, + "stats": { + "downloadCount": 639, + "thumbsUpCount": 63, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2574789, + "sizeKB": 123701.8984375, + "name": "Mannequin_V1_F29B.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-02-14T13:55:28.968Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "1F4208CC", + "AutoV2": "363227E0FD", + "SHA256": "363227E0FDA601D9CDA160C6BE1D6DD09F532D23CEF2D6BE6EF8656565B86AF1", + "CRC32": "76E3B3B9", + "BLAKE3": "4AC8AC959BEAA35CA9DC6C653D513DF252C0BDE0BD1DEFD5FB45B61C648A47DA", + "AutoV3": "9663E9C5A25E" + }, + "downloadUrl": "https://civitai.com/api/download/models/2689061", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/520c863b-9025-4858-8f76-4f463cf0e9bc/original=true/121058738.jpeg", + "nsfwLevel": 2, + "width": 816, + "height": 1136, + "hash": "UIDcXT009F-;00~qWB9Ft8IUxuxu%MIUt7xu", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/18a3caa1-5ba4-4b82-a2f9-f54d3b374e2f/original=true/121058739.jpeg", + "nsfwLevel": 4, + "width": 816, + "height": 1136, + "hash": "U9MaR]8{M{~q4n%gxuIU_3M{Rjj]xtogRit7", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": false, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/379a383c-5aaf-4318-a925-c22844467f84/original=true/121098656.jpeg", + "nsfwLevel": 1, + "width": 1392, + "height": 1904, + "hash": "U57ehn00%$9G?wWBM{o~VsM{x]RP9F%gMdxa", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2689061" + }, + { + "id": 2467252, + "index": 1, + "name": "v1.0 (QIE 2509)", + "baseModel": "Qwen", + "baseModelType": "Standard", + "createdAt": "2025-12-03T19:43:05.932Z", + "publishedAt": "2025-12-03T19:51:58.839Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 5, + "description": "

Default prompt:

Generate a picture of an abstract CGI mannequin in the exact same pose as the person in the image.\nThe mannequin should have fingers, toes, and an abstract representation of facial expression.\nThe mannequin does not have any hair. It has perfectly clean gray skin with a black wireframe overlaid on top without any discolorations.\nThe background of the image is a plain featureless middle gray photo studio.\nDo not include any objects the person in the image may or may not be interacting with.
", + "covered": true, + "stats": { + "downloadCount": 587, + "thumbsUpCount": 79, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2355845, + "sizeKB": 737409.015625, + "name": "Mannequin.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2025-12-03T19:45:47.649Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "4D4D18B5", + "AutoV2": "778FC3E440", + "SHA256": "778FC3E440C75EAC8DB3174048B6658FB2AF87217C53700141CE2948EDCA07C2", + "CRC32": "478DD52A", + "BLAKE3": "BB295FF225F2225112F22A0E7CBCCF6B177E7FDA7252E31CC7EEC67F2F5BAD7D", + "AutoV3": "8B74AB55F97C" + }, + "downloadUrl": "https://civitai.com/api/download/models/2467252", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/20f8d70e-95df-4f24-a943-bab1199da7da/original=true/112583682.jpeg", + "nsfwLevel": 4, + "width": 1864, + "height": 2560, + "hash": "UIP%O.~qxu-;00ofofV[D%V[M{WBxuj[Rjof", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/61f00076-7405-45a8-a08e-99ab2234b1f4/original=true/113961365.jpeg", + "nsfwLevel": 1, + "width": 1536, + "height": 2160, + "hash": "UDLE4okE?a%M00M|MwRk-qV?jDog%j%L%MNH", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4bcb76e1-a9c3-4255-b629-c8dcd4a59e3e/original=true/112523801.jpeg", + "nsfwLevel": 1, + "width": 1920, + "height": 1280, + "hash": "U6E{Rk00-..TH@-DxIIVWrD*WCxuyCNGWC%2", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": false, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7249d742-77ef-47e0-a30c-24e9c051c446/original=true/113965462.jpeg", + "nsfwLevel": 1, + "width": 1021, + "height": 1598, + "hash": "UPHLk~of~qxu00WB4nWBE1fQj[WB?bayxut7", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2467252" + } + ] +} \ No newline at end of file diff --git a/klein-9b/lora/Middle Finger/Flux.2 Klein 9B - 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Triggers

  • [He | She | They] give the viewer the middle finger.

  • They slowly lift their right hand from their side, fingers curling loosely at first, then deliberately extending their middle finger straight forward while the others fold tightly against his palm. (Or any AI generated prompt for the motion of flipping someone off.)

https://ko-fi.com/playtime_ai

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Triggers

  • [He/She] gives the middle finger to the viewer.

  • They slowly lift their right hand from their side, fingers curling loosely at first, then deliberately extending their middle finger straight forward while the others fold tightly against his palm. (Or any AI generated prompt for the motion of flipping someone off.)

https://ko-fi.com/playtime_ai

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{\"Node name for S&R\": \"UNETLoader\", \"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"models\": [{\"name\": \"flux-2-klein-base-9b-fp8.safetensors\", \"url\": \"https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8/resolve/main/flux-2-klein-base-9b-fp8.safetensors\", \"directory\": \"diffusion_models\"}], \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [\"flux-2-klein-9b-fp8.safetensors\", \"default\"]}, {\"id\": 79, \"type\": \"MarkdownNote\", \"pos\": [-1835.885129819036, 255.02753737214815], \"size\": [550, 530], \"flags\": {}, \"order\": 4, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8)\\n- [flux-2-klein-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the models.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u251c\\u2500\\u2500 flux-2-klein-9b-fp8.safetensors\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 flux-2-klein-base-9b-fp8.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. Desktop/Cloud ship stable builds; nightly-supported models may not be included yet, please wait for the next stable release.\\n\\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\\n\\n\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 100, \"type\": \"Flux2Scheduler\", \"pos\": [772.3419858499, 568.0473128944258], \"size\": [270, 106], \"flags\": {}, \"order\": 10, \"mode\": 0, \"inputs\": [{\"name\": \"width\", \"type\": \"INT\", \"widget\": {\"name\": \"width\"}, \"link\": 182}, {\"name\": \"height\", \"type\": \"INT\", \"widget\": {\"name\": \"height\"}, \"link\": 184}], \"outputs\": [{\"name\": \"SIGMAS\", \"type\": \"SIGMAS\", \"links\": [169]}], \"properties\": {\"Node name for S&R\": \"Flux2Scheduler\", \"cnr_id\": 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{\"Node name for S&R\": \"UNETLoader\", \"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"models\": [{\"name\": \"flux-2-klein-base-9b-fp8.safetensors\", \"url\": \"https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8/resolve/main/flux-2-klein-base-9b-fp8.safetensors\", \"directory\": \"diffusion_models\"}], \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [\"flux-2-klein-9b-fp8.safetensors\", \"default\"]}, {\"id\": 79, \"type\": \"MarkdownNote\", \"pos\": [-1835.885129819036, 255.02753737214815], \"size\": [550, 530], \"flags\": {}, \"order\": 4, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8)\\n- [flux-2-klein-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the models.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u251c\\u2500\\u2500 flux-2-klein-9b-fp8.safetensors\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 flux-2-klein-base-9b-fp8.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. Desktop/Cloud ship stable builds; nightly-supported models may not be included yet, please wait for the next stable release.\\n\\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\\n\\n\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 100, \"type\": \"Flux2Scheduler\", \"pos\": [772.3419858499, 568.0473128944258], \"size\": [270, 106], \"flags\": {}, \"order\": 10, \"mode\": 0, \"inputs\": [{\"name\": \"width\", \"type\": \"INT\", \"widget\": {\"name\": \"width\"}, \"link\": 182}, {\"name\": \"height\", \"type\": \"INT\", \"widget\": {\"name\": \"height\"}, \"link\": 184}], \"outputs\": [{\"name\": \"SIGMAS\", \"type\": \"SIGMAS\", \"links\": [169]}], \"properties\": {\"Node name for S&R\": \"Flux2Scheduler\", \"cnr_id\": 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{\"Node name for S&R\": \"UNETLoader\", \"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"models\": [{\"name\": \"flux-2-klein-base-9b-fp8.safetensors\", \"url\": \"https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8/resolve/main/flux-2-klein-base-9b-fp8.safetensors\", \"directory\": \"diffusion_models\"}], \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [\"flux-2-klein-9b-fp8.safetensors\", \"default\"]}, {\"id\": 79, \"type\": \"MarkdownNote\", \"pos\": [-1835.885129819036, 255.02753737214815], \"size\": [550, 530], \"flags\": {}, \"order\": 4, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8)\\n- [flux-2-klein-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the models.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u251c\\u2500\\u2500 flux-2-klein-9b-fp8.safetensors\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 flux-2-klein-base-9b-fp8.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. Desktop/Cloud ship stable builds; nightly-supported models may not be included yet, please wait for the next stable release.\\n\\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\\n\\n\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 100, \"type\": \"Flux2Scheduler\", \"pos\": [772.3419858499, 568.0473128944258], \"size\": [270, 106], \"flags\": {}, \"order\": 10, \"mode\": 0, \"inputs\": [{\"name\": \"width\", \"type\": \"INT\", \"widget\": {\"name\": \"width\"}, \"link\": 182}, {\"name\": \"height\", \"type\": \"INT\", \"widget\": {\"name\": \"height\"}, \"link\": 184}], \"outputs\": [{\"name\": \"SIGMAS\", \"type\": \"SIGMAS\", \"links\": [169]}], \"properties\": {\"Node name for S&R\": \"Flux2Scheduler\", \"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [4, 1024, 1024]}, {\"id\": 107, \"type\": \"PrimitiveInt\", \"pos\": [261.6761577108349, 749.2081189615175], \"size\": [270, 82], \"flags\": {}, \"order\": 5, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"name\": \"INT\", \"type\": \"INT\", \"links\": [181, 182]}], \"properties\": {\"Node name for S&R\": \"PrimitiveInt\"}, \"widgets_values\": [1024, \"fixed\"]}, {\"id\": 108, \"type\": \"PrimitiveInt\", \"pos\": [270.3970195155429, 884.4541507828561], \"size\": [270, 82], \"flags\": {}, \"order\": 6, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"name\": \"INT\", \"type\": \"INT\", \"links\": [183, 184]}], \"properties\": {\"Node name for S&R\": \"PrimitiveInt\"}, \"widgets_values\": [1024, \"fixed\"]}, {\"id\": 101, \"type\": \"EmptyFlux2LatentImage\", \"pos\": 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The mood is calm and inquisitive,cat, solo, silhouette, monochrome, greyscale, animal, simple background, white background.\\n\"], \"color\": \"#232\", \"bgcolor\": \"#353\"}], \"links\": [[164, 103, 0, 102, 1, \"CONDITIONING\"], [165, 94, 0, 102, 2, \"CONDITIONING\"], [166, 99, 0, 92, 0, \"NOISE\"], [167, 102, 0, 92, 1, \"GUIDER\"], [168, 91, 0, 92, 2, \"SAMPLER\"], [169, 100, 0, 92, 3, \"SIGMAS\"], [170, 101, 0, 92, 4, \"LATENT\"], [171, 92, 0, 93, 0, \"LATENT\"], [172, 98, 0, 93, 1, \"VAE\"], [175, 97, 0, 94, 0, \"CLIP\"], [176, 97, 0, 103, 0, \"CLIP\"], [179, 104, 0, 102, 0, \"MODEL\"], [180, 105, 0, 104, 0, \"MODEL\"], [181, 107, 0, 101, 0, \"INT\"], [182, 107, 0, 100, 0, \"INT\"], [183, 108, 0, 101, 1, \"INT\"], [184, 108, 0, 100, 1, \"INT\"], [185, 93, 0, 109, 0, \"IMAGE\"]], \"groups\": [{\"id\": 1, \"title\": \"Models\", \"bounding\": [-175.70631954379206, 129.76637900183658, 380, 550], \"color\": \"#3f789e\", \"font_size\": 24, \"flags\": {}}, {\"id\": 2, \"title\": \"Prompt\", \"bounding\": [244.29368045620794, 129.76637900183658, 470, 550], \"color\": \"#3f789e\", \"font_size\": 24, \"flags\": {}}, {\"id\": 3, \"title\": \"Sampler\", \"bounding\": [754.293680456208, 129.76637900183658, 532.3638671875, 550], \"color\": \"#3f789e\", \"font_size\": 24, \"flags\": {}}], \"config\": {}, \"extra\": {\"frontendVersion\": \"1.39.19\", \"workflowRendererVersion\": \"LG\", \"VHS_latentpreview\": false, \"VHS_latentpreviewrate\": 0, \"VHS_MetadataImage\": true, \"VHS_KeepIntermediate\": true, \"ds\": {\"scale\": 1.7936850827911142, \"offset\": [251.6181663016492, 148.5374847519966]}}, \"version\": 0.4, \"seed_widgets\": {\"99\": 0}}}", + "sampler": "Euler", + "additionalResources": [ + { + "name": "MyMy\\Minimalist VEctor Art\\MinimalistVectorArtKlein9b.safetensors", + "type": "lora", + "strength": 1 + } + ] + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/Minimalist vector art/extra_data-vid_2727487/model_dict-mid_658816-vid_2727487.json b/klein-9b/lora/Minimalist vector art/extra_data-vid_2727487/model_dict-mid_658816-vid_2727487.json new file mode 100644 index 0000000000000000000000000000000000000000..8ea97424171b116dcb01d4d220a1b082e325cd1f --- /dev/null +++ b/klein-9b/lora/Minimalist vector art/extra_data-vid_2727487/model_dict-mid_658816-vid_2727487.json @@ -0,0 +1,1398 @@ +{ + "id": 658816, + "name": "Minimalist vector art", + "description": "

The Lora is trained on MidJourney Images that use my \"Personalised Style\" + Minimalist Flat Vector Art with eastern themes.

Тrigger words are ArsMJStyle, Minimalist Vector Art

If you like the Monochrome showcases you can enchance the effect by adding:
Silhouette, monochrome, greyscale, simple background

Works great in the 0.4 - 2 range
Gives the effects I was aiming for in the 1.2 - 1.5 range. You don't have to keep the prompt simplistic in this range.
Start around 1.2 and see what works for you :)

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Works great in the 0.4 - 2 range
Gives the effects I was aiming for in the 1.2 - 1.5 range. You don't have to keep the prompt simplistic in this range.
Start around 1.2 and see what works for you :)

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Work with both SDXL and Pony.

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b/klein-9b/lora/Missionary POV Sex LoRA - Flux.2 Klein 9B - K3NK/extra_data-vid_2699087/model_dict-mid_2400540-vid_2699087.json new file mode 100644 index 0000000000000000000000000000000000000000..5dacf0bea736af54636c67268fb37d24289f9491 --- /dev/null +++ b/klein-9b/lora/Missionary POV Sex LoRA - Flux.2 Klein 9B - K3NK/extra_data-vid_2699087/model_dict-mid_2400540-vid_2699087.json @@ -0,0 +1,282 @@ +{ + "id": 2400540, + "name": "Missionary POV Sex LoRA - Flux.2 Klein 9B - K3NK", + "description": "

Missionary POV lora for Flux .2 Klein 9B

  • Trained on Diffusion Pipe on 992 high res images

  • Trained at 512, 1024 buckets

  • Used 9B Base model for training

The workflow im using is embeded inside the images, drag 'n drop into comfyui

Example prompt

a nude, dark-skinned woman with medium-sized breasts and a tattoo on her chest, lying on a white leather couch. She is smiling, with her legs spread wide, revealing her shaved genitals. A dark-skinned man with a muscular build and tattoos on his legs is penetrating her vaginally. The lighting is bright, highlighting their skin tones and the sheen of oil on their bodies. The background is minimalistic, with a small glass beaker containing pink liquid on the couch. The image is explicit and intimate, focusing on the sexual act.
a nude blonde woman with fair skin, medium-sized breasts, and a navel piercing, lying on her back on a white bedspread. She is in a missionary position with a man's erect penis penetrating her vagina. Her legs are spread wide, and she appears to be in a state of arousal. The lighting is bright and natural, highlighting her body and the bed's texture. The camera angle is from above, capturing the intimate moment in detail.

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❤️ Please Consider Supporting My Work
I am passionate about making open tools and uncensored models for the community. If you value this work and want to support independent development, please consider buying me a coffee to keep the momentum going!
👉 https://ko-fi.com/lorian0x7

[NSFW] Solo Girl Focus - Flux Klein 9B

This LoRA is specifically trained for Flux.2 Klein 9B, focusing on high-quality NSFW solo girl content. No face is present in the dataset so it should perfectly work with characters Lora (not tested).

⚠️ Note on Anatomy:
Please keep in mind that while this LoRA produces great results, Flux Klein 9B still has its limitations with anatomy. You may encounter some inconsistencies in complex poses.

🚀 Looking for better results?
If you want superior anatomy and even higher fidelity, my Z-Image version of this LoRA performs significantly better. The Z-Image version is exclusive to my supporters.

Get the Z-Image NSFW LoRA here:
👉 https://ko-fi.com/lorian0x7

Supporters also get exclusive access to:

  • 🔓 Exclusive Models not available on Civitai

  • 🔞 Supporters-only LoRAs early access to new releases and exclusives workflows

Disclaimer: I holds no liability for any images produced, including their legality, ethical implications, or potential misuse. By using this model, you agree that all responsibility for generated content rests solely with you. Use responsibly and within legal boundaries.

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alpha version

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FLux Klein (no face change)/extra_data-vid_2677698/model_dict-mid_2319552-vid_2677698.json b/klein-9b/lora/NSFW - FLux Klein (no face change)/extra_data-vid_2677698/model_dict-mid_2319552-vid_2677698.json new file mode 100644 index 0000000000000000000000000000000000000000..2ebeb14c5ef66d7a833112b4f2b655bc7968356f --- /dev/null +++ b/klein-9b/lora/NSFW - FLux Klein (no face change)/extra_data-vid_2677698/model_dict-mid_2319552-vid_2677698.json @@ -0,0 +1,385 @@ +{ + "id": 2319552, + "name": "NSFW - FLux Klein (no face change)", + "description": "

❤️ Please Consider Supporting My Work
I am passionate about making open tools and uncensored models for the community. If you value this work and want to support independent development, please consider buying me a coffee to keep the momentum going!
👉 https://ko-fi.com/lorian0x7

🔥Advanced Editing Workflow available on Kofi ( supporters only ) 🔥
Made to keep the body proportions and shapes as close to the original image as possible.

[NSFW] Solo Girl Focus - Flux Klein 9B

This LoRA is specifically trained for Flux.2 Klein 9B, focusing on high-quality NSFW solo girl content. No face is present in the dataset so it should perfectly work with characters Lora (not tested).

⚠️ Note on Anatomy:
Please keep in mind that while this LoRA produces great results, Flux Klein 9B still has its limitations with anatomy. You may encounter some inconsistencies in complex poses.

🚀 Looking for better results?
If you want superior anatomy and even higher fidelity, my Z-Image version of this LoRA performs significantly better. The Z-Image version is exclusive to my supporters.

Get the Z-Image NSFW LoRA here:
👉 https://ko-fi.com/lorian0x7

Supporters also get exclusive access to:

  • 🔓 Exclusive Models not available on Civitai

  • 🔞 Supporters-only LoRAs early access to new releases and exclusives workflows

Disclaimer: I holds no liability for any images produced, including their legality, ethical implications, or potential misuse. By using this model, you agree that all responsibility for generated content rests solely with you. Use responsibly and within legal boundaries.

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more training

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--Anima
Trained on anima3. Recommended strength: 0.4.

Works best with block filtering — I created a ComfyUI nodepack for this: ComfyUI-LoRA-Block-Filter. (use no_style_leak preset). Examples generated alongside my other LoRA — Lenovo.

Experimental version. Results may vary depending on prompt and block weight settings.

--Qwen2512
Trained with the best my technique. Best use with Samsung lora

-- Z-Image (Asian Edition)
I'm experimenting with a completely different training method here. While it's still a work in progress, feel free to give it a try.

Regarding the examples: I used 40 steps to test the limits, but you can definitely achieve good results with fewer steps like 20 for example

-- Chroma
Use with weight around 0.6-0.8. Works great along with lenovo lora


-- Z-Image
Unfortunately at this moment only european girls, but this was just test, so wait for new versions. Highly recommend to use with my workflow https://civitai.com/models/2190193?modelVersionId=2466066

-- Qwen
Alternative version gives more clean result with less noise, blur, grain. I recommend when blend with other loras to set weight around 0.6

Just a beauty girls for qwen. Use it along with my Lenovo lora for Qwen
You can take workflow here: https://huggingface.co/Danrisi/Lenovo_Qwen/resolve/main/Qwen_danrisi.json

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", + "allowNoCredit": false, + "allowCommercialUse": "{}", + "allowDerivatives": false, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": false, + "nsfwLevel": 2, + "availability": "Public", + "userId": 8046125, + "cosmetic": null, + "supportsGeneration": false, + "stats": { + "downloadCount": 295, + "thumbsUpCount": 19, + "thumbsDownCount": 1, + "commentCount": 0, + "tippedAmountCount": 0 + }, + "creator": { + "username": "NIcknickAI", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/de37954e-3d01-4632-998e-c43a85c738bb/width=96/NIcknickAI.jpeg" + }, + "tags": [ + "poses", + "pose" + ], + "modelVersions": [ + { + "id": 2911685, + "index": 0, + "name": "QwenEdit2511", + "baseModel": "Qwen", + "baseModelType": "Standard", + "createdAt": "2026-05-02T08:06:49.840Z", + "publishedAt": "2026-05-02T08:24:31.540Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 2, + "trainedWords": [ + "changepose" + ], + "covered": false, + "stats": { + "downloadCount": 108, + "thumbsUpCount": 11, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2789758, + "sizeKB": 576227.7421875, + "name": "Nick_changepose_任意姿势_Qwen2511.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-05-02T08:21:15.170Z", + "metadata": { + "format": "SafeTensor", + "isRequired": false + }, + "hashes": { + "AutoV1": "1B61F4CD", + "AutoV2": "B1B1321F1E", + "SHA256": "B1B1321F1E26147AAB5E22993E67316DE1827314D44D50DA5D4CB75C0C0E733D", + "CRC32": "763D588C", + "BLAKE3": "9AEA2BA0C6D9F4B7D44594100A11B2BFFA9FADFA1EC718FD201FAFE3BE0EE287", + "AutoV3": "03DF3E1603B5" + }, + "downloadUrl": "https://civitai.com/api/download/models/2911685", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6a333f6c-939b-454e-8751-9745d7c70a93/original=true/129349380.jpeg", + "nsfwLevel": 2, + "width": 698, + "height": 1296, + "hash": "UEM7ieD%M{~q?bxvWBkCM{V@j[of%2%Mj[t7", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": false, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2911685" + }, + { + "id": 2911726, + "index": 1, + "name": "Klein9b-base", + "baseModel": "Flux.2 Klein 9B-base", + "baseModelType": "Standard", + "createdAt": "2026-05-02T08:25:28.802Z", + "publishedAt": "2026-05-02T08:29:17.368Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 2, + "description": "

https://www.runninghub.ai/post/2048912810964422658/?inviteCode=rh-v1256

", + "trainedWords": [ + "changepose" + ], + "covered": false, + "stats": { + "downloadCount": 187, + "thumbsUpCount": 14, + "thumbsDownCount": 1 + }, + "files": [ + { + "id": 2789781, + "sizeKB": 191270.015625, + "name": "Nick_changepose_任意姿势_klein_9b_base.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-05-02T08:30:48.629Z", + "metadata": { + "format": "SafeTensor", + "isRequired": false + }, + "hashes": { + "AutoV1": "EBBF4F50", + "AutoV2": "A5BA08CC6C", + "SHA256": "A5BA08CC6C1537AE5D4781B1B31B7A4C27597240708405F7016B2FF09B6918F7", + "CRC32": "C084DA8E", + "BLAKE3": "23B18F1684D89CCEDA54E1847B9F108B695210BF232EC985242A60089EFD72FB", + "AutoV3": "9930546D3476" + }, + "downloadUrl": "https://civitai.com/api/download/models/2911726", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/5910390d-45b8-4642-93da-e0fa525ea1db/original=true/129350102.jpeg", + "nsfwLevel": 2, + "width": 890, + "height": 1194, + "hash": "U4Fr;axuV@f6_N%MxuofM{WBIUIU~qR*%3%M", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": false, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2911726" + } + ] +} \ No newline at end of file diff --git a/klein-9b/lora/Nipple Piercings/Nipple Piercings V0.2 LoKr32 000004500-mid_2526951-vid_2932360.csv b/klein-9b/lora/Nipple Piercings/Nipple Piercings V0.2 LoKr32 000004500-mid_2526951-vid_2932360.csv new file mode 100644 index 0000000000000000000000000000000000000000..c992ff6f2b8dd3aa1b743b3bddb0da908d822f5f --- /dev/null +++ b/klein-9b/lora/Nipple Piercings/Nipple Piercings V0.2 LoKr32 000004500-mid_2526951-vid_2932360.csv @@ -0,0 +1,7 @@ +hash_name, hash_id +AutoV1, 59B86F44 +AutoV2, 459E6822E4 +SHA256, 459E6822E45583482A00824F85FDE65F3BDBE640209376B3991FC1DDE0B3F9D5 +CRC32, 223CC776 +BLAKE3, 7AE1BB8BB93BEB152523C8794B8CC4EF16A39B60D58B289D7A03F75753E732C0 +AutoV3, 102B5DD5E565 \ No newline at end of file diff --git a/klein-9b/lora/Nipple Piercings/Nipple Piercings V0.2 LoKr32 000004500-mid_2526951-vid_2932360.safetensors b/klein-9b/lora/Nipple Piercings/Nipple Piercings V0.2 LoKr32 000004500-mid_2526951-vid_2932360.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..47b908af3df977a2b085c407c3aad27ad690b7fb --- /dev/null +++ b/klein-9b/lora/Nipple Piercings/Nipple Piercings V0.2 LoKr32 000004500-mid_2526951-vid_2932360.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:459e6822e45583482a00824f85fde65f3bdbe640209376b3991fc1dde0b3f9d5 +size 17308784 diff --git a/klein-9b/lora/Nipple Piercings/extra_data-vid_2932360/model_dict-mid_2526951-vid_2932360.json b/klein-9b/lora/Nipple Piercings/extra_data-vid_2932360/model_dict-mid_2526951-vid_2932360.json new file mode 100644 index 0000000000000000000000000000000000000000..40551fe60c287c9b34f842c29a8bdc3dedd7d8db --- /dev/null +++ b/klein-9b/lora/Nipple Piercings/extra_data-vid_2932360/model_dict-mid_2526951-vid_2932360.json @@ -0,0 +1,247 @@ +{ + "id": 2526951, + "name": "Nipple Piercings", + "description": "

Flux 2 Klein 9b

This model is LoKr.

V0.2

Basically the same as V0.1, just retrained from scratch with a different LoKr factor. Tends to work better.

V0.1

This was mostly a test run.

Trained on images featuring barbell piercings in a variety of colors.

Works well for both close-up and full body shots.

Use phrases like:

  • \"Both nipples feature gold barbells.\"

  • \"Both nipples feature silver barbell piercings.\"

  • \"Both nipples feature black horizontal barbell piercings.\"

The LoRA also learned some facial piercings but I would not rely on it.

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit,Rent,Sell}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 11730789, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 676, + "thumbsUpCount": 39, + "thumbsDownCount": 0, + "commentCount": 0, + "tippedAmountCount": 0 + }, + "creator": { + "username": "ComputeKing", + "image": null + }, + "tags": [ + "concept", + "nudity", + "nipples", + "nudes", + "selfies", + "piercings" + ], + "modelVersions": [ + { + "id": 2932360, + "index": 0, + "name": "V0.2", + "baseModel": "Flux.2 Klein 9B", + "baseModelType": "Standard", + "createdAt": "2026-05-09T23:13:13.335Z", + "publishedAt": "2026-05-10T00:25:20.460Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "covered": true, + "stats": { + "downloadCount": 151, + 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A simple Nipple Size Slider for Flux 2 9B. Effect is strong, maybe a bit overtrained, works well between -2 and +2. Trained on Flux 2 9B Base, works both on Base and Not-Base.

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Now your Flux2 Klein can generate breasts. Not good with pussy (yet).

This is a test training, I'll improve it over time. The tools aren't ready 100% yet (one miss fp8 training, other miss some \"advanced\" settings, etc....)

Just describe the breasts you want like the sample images. Note that (yet) the breasts depends more on the woman overall than the description on this first release

UPDATE 23/Jan/2026 09:46 -03: I found a problem in my training config causing the lora rank to be ignored and training with a lower value. Working on a fix to improve the lora right now :)

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- Flux2.Klein/extra_data-vid_2628005/model_dict-mid_2331032-vid_2628005.json @@ -0,0 +1,785 @@ +{ + "id": 2331032, + "name": "NippleDiffusion - Flux2.Klein", + "description": "

Now your Flux2 Klein can generate breasts. Not good with vaginas.

I may release some individual breasts loras like I did for Flux1.Dev. Let's see....

Trained using musubi-tuner

UPDATE 25/Jan/2026 05:57 -03: I'll train 4B to improve it like I did with 9B soon

I was tired of other LoRAs without the areolas textures and details. Most of the nipples I got until now using Flux was some soulless plain areolas without the depth it requires.

Then I curated a mid-size dataset with the best breasts and areolas I could find today in the internet.

Concepts trained: (some may require a future individual lora to be used properly)

  • big areolas - Rounded medium to big areola size

  • dark nipples - Dark nipples with more contrast to the natural skin

  • ghost nipples - Pale nipples that appears slightly

  • long nipples - Nipples that you can bite easily

  • puffy nipples - Small breasts with the tip of them covered with a dense nipple

  • saggy breasts - breasts hanging a bit due to the gravity

  • small areolas - Areolas with a small radius

  • veiny areolas - Veins appearing under the skin

  • banana tits - Similar to puffy, but focused on breast shape instead of nipples only

  • silicone tits - The spheres from the 90s. It focuses on shape

  • empty tits - Similar to saggy, but empty

  • flat tits - Flat chested woman

  • oval areolas - When it's cold, the areola shape may change to oval. Good texture

  • bumpy areolas - When it's cold, the areola texture becomes bumpy. Good texture

  • wrinkled areolas - When it's cold big areolas becomes wrinkled! Good texture

Flux does what it wants LOL. I trained different concepts, but flux does not always follow them. Flux seems doing a breast based on the overall girl appearance, but it's possible to achieve using inpainting and some prompt engineering.

Bonus that I added in case the full body appears, to have something right down there:

  • hairy pussy - hairy pussy of a woman standing

  • shaved pussy - shaved pussy of a woman standing

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Version 0.1 beta.

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Now your Flux2 Klein can generate breasts. Not good with vaginas.

NOW WE HAVE BANANA|TORPEDO and SAGGY TITS!!! See the stand-alone lora file version at the top

I was tired of other LoRAs without the areolas textures and details. Most of the nipples I got until now using Flux was some soulless plain areolas without the depth it requires.

Then I curated a mid-size dataset with the best breasts and areolas I could find today in the internet.

Stand-alone lora files:

  • long nipples - Nipples that you can bite easily

  • puffy nipples - Small breasts with the tip of them covered with a dense nipple

  • veiny areolas - Veins appearing under the skin

  • dark nipples - Dark nipples with more contrast to the natural skin

  • banana tits - Similar to puffy, but focused on breast shape instead of nipples only

  • saggy breasts - breasts hanging a bit due to the gravity

  • empty tits - Similar to saggy, but empty

  • flat tits - Flat chested woman

  • oval areolas - When it's cold, the areola shape may change to oval. Good texture

Types of breasts trained on general lora: (Not trigger words, but the types of images used to train)

  • big areolas - Rounded medium to big areola size

  • dark nipples - Dark nipples with more contrast to the natural skin

  • pale nipples - Pale nipples that appears slightly

  • big nipples - Nipples that you can bite easily

  • puffy nipples - Small breasts with the tip of them covered with a dense nipple

  • saggy breasts - breasts hanging a bit due to the gravity

  • small areolas - Areolas with a small radius

  • veiny areolas - Veins appearing under the skin

  • banana tits - Similar to puffy, but focused on breast shape instead of nipples only

  • silicone tits - The spheres from the 90s. It focuses on shape

  • empty tits - Similar to saggy, but empty

  • flat tits - Flat chested woman

  • oval areolas - When it's cold, the areola shape may change to oval. Good texture

  • bumpy areolas - When it's cold, the areola texture becomes bumpy. Good texture

  • wrinkled areolas - When it's cold big areolas becomes wrinkled! Good texture

Flux does what it wants LOL. I trained different concepts, but flux does not always follow them. Flux seems doing a breast based on the overall girl appearance, but it's possible to achieve using inpainting and some prompt engineering.

Bonus that I added in case the full body appears, to have something right down there:

  • hairy pussy - hairy pussy of a woman standing

  • shaved pussy - shaved pussy of a woman standing

You can use multiple loras, but the image may degrade... It's just how it works sadly.

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Improved model overall

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Version 0.1 beta.

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Now your Flux2 Klein can generate breasts. Not good with vaginas.

NOW WE HAVE BANANA|TORPEDO and SAGGY TITS!!! See the stand-alone lora file version at the top

I was tired of other LoRAs without the areolas textures and details. Most of the nipples I got until now using Flux was some soulless plain areolas without the depth it requires.

Then I curated a mid-size dataset with the best breasts and areolas I could find today in the internet.

Stand-alone lora files:

  • long nipples - Nipples that you can bite easily

  • puffy nipples - Small breasts with the tip of them covered with a dense nipple

  • veiny areolas - Veins appearing under the skin

  • dark nipples - Dark nipples with more contrast to the natural skin

  • banana tits - Similar to puffy, but focused on breast shape instead of nipples only

  • saggy breasts - breasts hanging a bit due to the gravity

  • empty tits - Similar to saggy, but empty

  • flat tits - Flat chested woman

  • oval areolas - When it's cold, the areola shape may change to oval. Good texture

Types of breasts trained on general lora: (Not trigger words, but the types of images used to train)

  • big areolas - Rounded medium to big areola size

  • dark nipples - Dark nipples with more contrast to the natural skin

  • pale nipples - Pale nipples that appears slightly

  • big nipples - Nipples that you can bite easily

  • puffy nipples - Small breasts with the tip of them covered with a dense nipple

  • saggy breasts - breasts hanging a bit due to the gravity

  • small areolas - Areolas with a small radius

  • veiny areolas - Veins appearing under the skin

  • banana tits - Similar to puffy, but focused on breast shape instead of nipples only

  • silicone tits - The spheres from the 90s. It focuses on shape

  • empty tits - Similar to saggy, but empty

  • flat tits - Flat chested woman

  • oval areolas - When it's cold, the areola shape may change to oval. Good texture

  • bumpy areolas - When it's cold, the areola texture becomes bumpy. Good texture

  • wrinkled areolas - When it's cold big areolas becomes wrinkled! Good texture

Flux does what it wants LOL. I trained different concepts, but flux does not always follow them. Flux seems doing a breast based on the overall girl appearance, but it's possible to achieve using inpainting and some prompt engineering.

Bonus that I added in case the full body appears, to have something right down there:

  • hairy pussy - hairy pussy of a woman standing

  • shaved pussy - shaved pussy of a woman standing

You can use multiple loras, but the image may degrade... It's just how it works sadly.

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Improved model overall

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Now your Flux2 Klein can generate breasts. Not good with vaginas.

NOW WE HAVE BANANA|TORPEDO and SAGGY TITS!!! See the stand-alone lora file version at the top

I was tired of other LoRAs without the areolas textures and details. Most of the nipples I got until now using Flux was some soulless plain areolas without the depth it requires.

Then I curated a mid-size dataset with the best breasts and areolas I could find today in the internet.

Stand-alone lora files:

  • long nipples - Nipples that you can bite easily

  • puffy nipples - Small breasts with the tip of them covered with a dense nipple

  • veiny areolas - Veins appearing under the skin

  • dark nipples - Dark nipples with more contrast to the natural skin

  • banana tits - Similar to puffy, but focused on breast shape instead of nipples only

  • saggy breasts - breasts hanging a bit due to the gravity

  • empty tits - Similar to saggy, but empty

  • flat tits - Flat chested woman

  • oval areolas - When it's cold, the areola shape may change to oval. Good texture

Types of breasts trained on general lora: (Not trigger words, but the types of images used to train)

  • big areolas - Rounded medium to big areola size

  • dark nipples - Dark nipples with more contrast to the natural skin

  • pale nipples - Pale nipples that appears slightly

  • big nipples - Nipples that you can bite easily

  • puffy nipples - Small breasts with the tip of them covered with a dense nipple

  • saggy breasts - breasts hanging a bit due to the gravity

  • small areolas - Areolas with a small radius

  • veiny areolas - Veins appearing under the skin

  • banana tits - Similar to puffy, but focused on breast shape instead of nipples only

  • silicone tits - The spheres from the 90s. It focuses on shape

  • empty tits - Similar to saggy, but empty

  • flat tits - Flat chested woman

  • oval areolas - When it's cold, the areola shape may change to oval. Good texture

  • bumpy areolas - When it's cold, the areola texture becomes bumpy. Good texture

  • wrinkled areolas - When it's cold big areolas becomes wrinkled! Good texture

Flux does what it wants LOL. I trained different concepts, but flux does not always follow them. Flux seems doing a breast based on the overall girl appearance, but it's possible to achieve using inpainting and some prompt engineering.

Bonus that I added in case the full body appears, to have something right down there:

  • hairy pussy - hairy pussy of a woman standing

  • shaved pussy - shaved pussy of a woman standing

You can use multiple loras, but the image may degrade... It's just how it works sadly.

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Improved model overall

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Version 0.1 beta.

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Version 0.1 beta.

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Now your Flux2 Klein can generate breasts. Not good with vaginas.

NOW WE HAVE BANANA|TORPEDO and SAGGY TITS!!! See the stand-alone lora file version at the top

I was tired of other LoRAs without the areolas textures and details. Most of the nipples I got until now using Flux was some soulless plain areolas without the depth it requires.

Then I curated a mid-size dataset with the best breasts and areolas I could find today in the internet.

Stand-alone lora files:

  • long nipples - Nipples that you can bite easily

  • puffy nipples - Small breasts with the tip of them covered with a dense nipple

  • veiny areolas - Veins appearing under the skin

  • dark nipples - Dark nipples with more contrast to the natural skin

  • banana tits - Similar to puffy, but focused on breast shape instead of nipples only

  • saggy breasts - breasts hanging a bit due to the gravity

  • empty tits - Similar to saggy, but empty

  • flat tits - Flat chested woman

  • oval areolas - When it's cold, the areola shape may change to oval. Good texture

Types of breasts trained on general lora: (Not trigger words, but the types of images used to train)

  • big areolas - Rounded medium to big areola size

  • dark nipples - Dark nipples with more contrast to the natural skin

  • pale nipples - Pale nipples that appears slightly

  • big nipples - Nipples that you can bite easily

  • puffy nipples - Small breasts with the tip of them covered with a dense nipple

  • saggy breasts - breasts hanging a bit due to the gravity

  • small areolas - Areolas with a small radius

  • veiny areolas - Veins appearing under the skin

  • banana tits - Similar to puffy, but focused on breast shape instead of nipples only

  • silicone tits - The spheres from the 90s. It focuses on shape

  • empty tits - Similar to saggy, but empty

  • flat tits - Flat chested woman

  • oval areolas - When it's cold, the areola shape may change to oval. Good texture

  • bumpy areolas - When it's cold, the areola texture becomes bumpy. Good texture

  • wrinkled areolas - When it's cold big areolas becomes wrinkled! Good texture

Flux does what it wants LOL. I trained different concepts, but flux does not always follow them. Flux seems doing a breast based on the overall girl appearance, but it's possible to achieve using inpainting and some prompt engineering.

Bonus that I added in case the full body appears, to have something right down there:

  • hairy pussy - hairy pussy of a woman standing

  • shaved pussy - shaved pussy of a woman standing

You can use multiple loras, but the image may degrade... It's just how it works sadly.

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Improved model overall

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Nude Females (Softcore)

  • Softcore images used for nude female reinforcement.

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit}", + "allowDerivatives": false, + "allowDifferentLicense": false, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 1932198, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 358, + "thumbsUpCount": 36, + "thumbsDownCount": 0, + "commentCount": 0, + "tippedAmountCount": 0 + }, + "creator": { + "username": "Felldude", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/50ca5d12-5a6f-4219-bace-b57993a06249/width=96/Felldude.jpeg" + }, + "tags": [ + "nude", + "style", + "woman", + "softcore", + "flux", + "9b" + ], + "modelVersions": [ + { + "id": 2754179, + "index": 0, + "name": "Klein_9B", + "baseModel": "Flux.2 Klein 9B", + "baseModelType": "Standard", + "createdAt": "2026-03-08T04:46:24.372Z", + "publishedAt": "2026-03-08T04:48:11.270Z", + "status": "Published", + "availability": 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--git a/klein-9b/lora/Nude woman from behind/extra_data-vid_2670491/model_dict-mid_2374580-vid_2670491.json b/klein-9b/lora/Nude woman from behind/extra_data-vid_2670491/model_dict-mid_2374580-vid_2670491.json new file mode 100644 index 0000000000000000000000000000000000000000..7b5c35b739ed522d188a8527c73c9371fd190d91 --- /dev/null +++ b/klein-9b/lora/Nude woman from behind/extra_data-vid_2670491/model_dict-mid_2374580-vid_2670491.json @@ -0,0 +1,243 @@ +{ + "id": 2374580, + "name": "Nude woman from behind", + "description": "

This lora provides a better depiction of a nude woman as viewed from behind.

Include something about revealing or exposing or showing \"vulva and anus\" in your prompts. Something about \"facing away\" from the camera helps with positioning. Specify clothes (or lack thereof). Stuff like \"hips raised\", \"on hands and knees\", \"squatting\", \"kneeling\" really anything works if you can get the model to put the woman in a favorable position. And \"head turned to side\" helps if you want her face in the image. Can try stuff like \"grabbing butt with one hand\" but more challenging to get right. Can generally set at 1.0 strength, sometimes a bit lower helps if you want a more subtle effect.

I tried to choose a happy medium between accuracy and adaptability. Works pretty well with closeup views, clothing, character loras. Not great with pubic hair though, perhaps in a future version.

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This model features women wearing pantyhose without underwear, making their genitals visible through the sheer tights.

Reference PROMPT:

Standing:

PHSB. Realistic photo. The girl lifts her skirt with her hands up to the waist, shows that she is not wearing any underwear under her pantyhose, you can see her pussy through her pantyhose, she is not wearing any panties. The light in the photo is cold y natural. The consistency of the character and the clothes they wear is preserved.

 

Seated:

PHSB. Realistic photo. The girl is sitting with her legs spread apart, shows that she is not wearing any underwear under her pantyhose. The pantyhose have a band around the waist. You can see her open pussy, she is not wearing any panties. The light in the photo is cold y natural. The consistency of the character and the clothes they wear is preserved.

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I didn't want to upload version 1 because the dataset wasn't polished yet

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Prompt trigger lines: Highly explicit, high-angle, close-up shot. She is performing oral sex, blowjob on a man whose erect penis is in her mouth. She is holding base of penis with her right hand. Man's nude lower torso and legs are partially visible.

Weight: 1.0

Steps: 6

❤️ If you like my models, please support me by sending buzz.⚡

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Doggy Klein 9b-mid_2359952-vid_2654230.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..097dee8e3ad43f515dde0b3b5b2088e45ce2bb52 --- /dev/null +++ b/klein-9b/lora/POV Doggy & Reverse Cowgirl/POV Doggy Klein 9b-mid_2359952-vid_2654230.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:01c17b56015067a317dcf46ffed0d9ca6d609e29c6e69a3263c0508625016ffd +size 165704392 diff --git a/klein-9b/lora/POV Doggy & Reverse Cowgirl/extra_data-vid_2654230/model_dict-mid_2359952-vid_2654230.json b/klein-9b/lora/POV Doggy & Reverse Cowgirl/extra_data-vid_2654230/model_dict-mid_2359952-vid_2654230.json new file mode 100644 index 0000000000000000000000000000000000000000..539e8bc9e47804fc3bf853faf7871c3d888fcb94 --- /dev/null +++ b/klein-9b/lora/POV Doggy & Reverse Cowgirl/extra_data-vid_2654230/model_dict-mid_2359952-vid_2654230.json @@ -0,0 +1,200 @@ +{ + "id": 2359952, + "name": "POV Doggy & Reverse Cowgirl", + "description": "

This lora depicts a woman having POV doggystyle or reverse cowgirl sex. It was trained utilizing Flux Klein 9b-base. The 1500 step lora was trained using 55 800x1200 portrait images. Even though the lora was trained for portrait orientation, it still works pretty well in most landscape resolutions as well.

Example Prompts

Sitting: pov vaginal doggystyle, a man inserts his penis into the woman's vagina, she is looking at the viewer over her shoulder eyes fixated on viewer, the mans thighs are barely visible at the bottom edge of the frame

On Hands and Knees: pov vaginal doggystyle, a man inserts his penis into the woman's vagina, she is looking at the veiwer over her shoulder eyes fixated on viewer, the woman is on her hands and knees on a bed, the naked mans thighs are in view at the very bottom edge of frame, from above, the womans knees are spread wide to each side with her feet out of view off each side of frame

As with other Klein generations there can be some anatomy issues with hands/feet which can be fixed with some quick prompting.

This is my first uploaded lora so if you like it feel free to show some love. Looking to create some more loras in the future.

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit,Rent,Sell}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 11222229, + "cosmetic": null, + "supportsGeneration": false, + "stats": { + "downloadCount": 288, + "thumbsUpCount": 14, + "thumbsDownCount": 0, + "commentCount": 0, + "tippedAmountCount": 0 + }, + "creator": { + "username": "Velocity0", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/e3d7288b-4228-43a8-977a-d71608ec90dc/width=96/Velocity0.jpeg" + }, + "tags": [ + "nsfw", + "concept", + "from behind", + "pov" + ], + "modelVersions": [ + { + "id": 2654230, + "index": 0, + "name": "v1.0", + "baseModel": "Flux.2 Klein 9B-base", + "baseModelType": "Standard", + "createdAt": "2026-02-02T21:34:57.080Z", + "publishedAt": "2026-02-02T21:42:33.332Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "trainedWords": [ + "pov vaginal doggystyle, a man inserts his penis into the woman's vagina" + ], + "covered": false, + "stats": { + "downloadCount": 288, + "thumbsUpCount": 14, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2542104, + "sizeKB": 161820.6953125, + "name": "POV Doggy Klein 9b.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-02-02T21:45:36.429Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "0618D647", + "AutoV2": "01C17B5601", + "SHA256": "01C17B56015067A317DCF46FFED0D9CA6D609E29C6E69A3263C0508625016FFD", + "CRC32": "5DAA4BCE", + "BLAKE3": "5145C7C7D66526473A6F8BA1AF274E75E5323A2C3E0116B5AB13AEBA5D342AA2", + "AutoV3": "2E1EC173E2DC" + }, + "downloadUrl": "https://civitai.com/api/download/models/2654230", + "primary": true + } + ], + "images": [ + { + "url": 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"image", + "minor": false, + "poi": false, + "hasMeta": false, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6750386c-f138-410e-9063-0d44ae84ce39/original=true/119730277.jpeg", + "nsfwLevel": 16, + "width": 1261, + "height": 1917, + "hash": "U4CO{_-o00E200WB=|S3WDju~Bbb0LEM^P={", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": false, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/c7ad8191-69f5-4b0b-83df-17d8666487ed/original=true/119730269.jpeg", + "nsfwLevel": 16, + "width": 2863, + "height": 1905, + "hash": "UfJ*VRM{E%-p.TWBxaV[_3kDxaWBkqofaeNH", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": false, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + }, + { + "url": 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"image", + "minor": false, + "poi": false, + "hasMeta": false, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2654230" + } + ] +} \ No newline at end of file diff --git a/klein-9b/lora/POV hand - Klein-9b (t2i, i2i editing)/extra_data-vid_2640656/119211602.jpeg b/klein-9b/lora/POV hand - Klein-9b (t2i, i2i editing)/extra_data-vid_2640656/119211602.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..5c3d1a1554564ad019418b54fe8400dbbc8177ee --- /dev/null +++ b/klein-9b/lora/POV hand - Klein-9b (t2i, i2i editing)/extra_data-vid_2640656/119211602.jpeg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:86b332718795cdde81e53e2b7ef9816b74ff152bdd23817300b60adbf021e160 +size 2697886 diff --git a/klein-9b/lora/POV hand - Klein-9b (t2i, i2i editing)/extra_data-vid_2640656/119211602.json b/klein-9b/lora/POV hand - Klein-9b (t2i, i2i editing)/extra_data-vid_2640656/119211602.json new file mode 100644 index 0000000000000000000000000000000000000000..dc58adbab7819ad7be895e1dc2b2a5926e83ca58 --- /dev/null +++ b/klein-9b/lora/POV hand - Klein-9b (t2i, i2i editing)/extra_data-vid_2640656/119211602.json @@ -0,0 +1,25 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/3a1862ec-77a2-4e2a-bba0-7ec88939dc59/original=true/119211602.jpeg", + "nsfwLevel": 1, + "width": 1514, + "height": 1391, + "hash": "U7K9.Ox^9Grq^,4oM{Ef0y00xC?wjH.7xarr", + "type": "image", + "metadata": { + "hash": "U7K9.Ox^9Grq^,4oM{Ef0y00xC?wjH.7xarr", + "size": 2697886, + "width": 1514, + "height": 1391, + "nsfwLevelReason": "Knights Vote" + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "POV hand, zoom in, man's left hand is grabbing her cheek" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/POV hand - Klein-9b (t2i, i2i editing)/extra_data-vid_2640656/119211764.jpeg b/klein-9b/lora/POV hand - Klein-9b (t2i, i2i editing)/extra_data-vid_2640656/119211764.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..c1a755aa94476c6cf8e70ed5b63b479406667922 --- /dev/null +++ b/klein-9b/lora/POV hand - Klein-9b (t2i, i2i editing)/extra_data-vid_2640656/119211764.jpeg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a59c58526416b2bdc9be63628762930a9266838f769a074c676e8bb88c895269 +size 3460109 diff --git a/klein-9b/lora/POV hand - Klein-9b (t2i, i2i editing)/extra_data-vid_2640656/119211764.json b/klein-9b/lora/POV hand - Klein-9b (t2i, i2i editing)/extra_data-vid_2640656/119211764.json new file mode 100644 index 0000000000000000000000000000000000000000..ddfe16816817e2b644fda9218eb6234624d3de20 --- /dev/null +++ b/klein-9b/lora/POV hand - Klein-9b (t2i, i2i editing)/extra_data-vid_2640656/119211764.json @@ -0,0 +1,25 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/cf16b9c5-1068-414f-b11c-ce5a956820e5/original=true/119211764.jpeg", + "nsfwLevel": 2, + "width": 1710, + "height": 1217, + "hash": "U7G*g33rDi}TGa?axa%M13=xt6Jh^+xaEMwa", + "type": "image", + "metadata": { + "hash": "U7G*g33rDi}TGa?axa%M13=xt6Jh^+xaEMwa", + "size": 3460109, + "width": 1710, + "height": 1217, + "nsfwLevelReason": "Knights Vote" + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "POV hand, zoom in, man's right hand is opening her jacket revealing naked boobs" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/POV hand - Klein-9b (t2i, i2i editing)/extra_data-vid_2640656/119236186.jpeg b/klein-9b/lora/POV hand - Klein-9b (t2i, i2i editing)/extra_data-vid_2640656/119236186.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..89e761b7cb6f28bd6d8b50aef4a6f62c04a721dc --- /dev/null +++ b/klein-9b/lora/POV hand - Klein-9b (t2i, i2i editing)/extra_data-vid_2640656/119236186.jpeg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0fbf0131e8559a31309ca844d893d23e7602386563a5d6b0b192709bb85bfc7b +size 1435827 diff --git a/klein-9b/lora/POV hand - Klein-9b (t2i, i2i editing)/extra_data-vid_2640656/119236186.json b/klein-9b/lora/POV hand - Klein-9b (t2i, i2i editing)/extra_data-vid_2640656/119236186.json new file mode 100644 index 0000000000000000000000000000000000000000..6711ce160a359c98fbeea847e4c29bb2df9fabdc --- /dev/null +++ b/klein-9b/lora/POV hand - Klein-9b (t2i, i2i editing)/extra_data-vid_2640656/119236186.json @@ -0,0 +1,38 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f9c472ad-e142-48cc-b985-47cad34b75ba/original=true/119236186.jpeg", + "nsfwLevel": 1, + "width": 800, + "height": 1280, + "hash": "U8EnFp570zoe=_^P57I:0fEy}ZnP-msl}Zo3", + "type": "image", + "metadata": { + "hash": "U8EnFp570zoe=_^P57I:0fEy}ZnP-msl}Zo3", + "size": 1435827, + "width": 800, + "height": 1280, + "nsfwLevelReason": "Knights Vote" + }, + "minor": false, + "poi": false, + "meta": { + "seed": 107, + "vaes": [ + "flux2-vae.safetensors" + ], + "comfy": "{\"prompt\": {\"100\": {\"inputs\": {\"sampler_name\": \"euler\"}, \"class_type\": \"KSamplerSelect\", \"_meta\": {\"title\": \"KSamplerSelect\"}}, \"101\": {\"inputs\": {\"noise\": [\"106\", 0], \"guider\": [\"110\", 0], \"sampler\": [\"100\", 0], \"sigmas\": [\"113\", 0], \"latent_image\": [\"103\", 0]}, \"class_type\": \"SamplerCustomAdvanced\", \"_meta\": {\"title\": \"SamplerCustomAdvanced\"}}, \"102\": {\"inputs\": {\"samples\": [\"101\", 0], \"vae\": [\"109\", 0]}, \"class_type\": \"VAEDecode\", \"_meta\": {\"title\": \"VAE Decode\"}}, \"103\": {\"inputs\": {\"width\": [\"104\", 0], \"height\": [\"105\", 0], \"batch_size\": 1}, \"class_type\": \"EmptyFlux2LatentImage\", \"_meta\": {\"title\": \"Empty Flux 2 Latent\"}}, \"104\": {\"inputs\": {\"value\": 800}, \"class_type\": \"PrimitiveInt\", \"_meta\": {\"title\": \"Width\"}}, \"105\": {\"inputs\": {\"value\": 1280}, \"class_type\": \"PrimitiveInt\", \"_meta\": {\"title\": \"Height\"}}, \"106\": {\"inputs\": {\"noise_seed\": 107}, \"class_type\": \"RandomNoise\", \"_meta\": {\"title\": \"RandomNoise\"}}, \"107\": {\"inputs\": {\"unet_name\": \"flux-2-klein-9b-fp8.safetensors\", \"weight_dtype\": \"default\"}, \"class_type\": \"UNETLoader\", \"_meta\": {\"title\": \"Load Diffusion Model\"}}, \"108\": {\"inputs\": {\"clip_name\": \"qwen_3_8b_fp8mixed.safetensors\", \"type\": \"flux2\", \"device\": \"default\"}, \"class_type\": \"CLIPLoader\", \"_meta\": {\"title\": \"Load CLIP\"}}, \"109\": {\"inputs\": {\"vae_name\": \"flux2-vae.safetensors\"}, \"class_type\": \"VAELoader\", \"_meta\": {\"title\": \"Load VAE\"}}, \"110\": {\"inputs\": {\"cfg\": 1.0, \"model\": [\"114\", 0], \"positive\": [\"112\", 0], \"negative\": [\"111\", 0]}, \"class_type\": \"CFGGuider\", \"_meta\": {\"title\": \"CFGGuider\"}}, \"111\": {\"inputs\": {\"conditioning\": [\"112\", 0]}, \"class_type\": \"ConditioningZeroOut\", \"_meta\": {\"title\": \"ConditioningZeroOut\"}}, \"112\": {\"inputs\": {\"text\": \"POV hand, zoom in, man's right hand is touching woman's cheek standing at the bar behind the bar. woman is holding a beer glass\", \"clip\": [\"108\", 0]}, \"class_type\": \"CLIPTextEncode\", \"_meta\": {\"title\": \"CLIP Text Encode (Positive Prompt)\"}}, \"113\": {\"inputs\": {\"steps\": 5, \"width\": [\"104\", 0], \"height\": [\"105\", 0]}, \"class_type\": \"Flux2Scheduler\", \"_meta\": {\"title\": \"Flux2Scheduler\"}}, \"114\": {\"inputs\": {\"lora_name\": \"f2k_hand_pov_8000s.safetensors\", \"strength_model\": 1.0, \"model\": [\"107\", 0]}, \"class_type\": \"LoraLoaderModelOnly\", \"_meta\": {\"title\": \"LoraLoaderModelOnly\"}}, \"115\": {\"inputs\": {\"filename_prefix\": \"ComfyUI\", \"images\": [\"102\", 0]}, \"class_type\": \"SaveImage\", \"_meta\": {\"title\": \"Save Image\"}}}, \"workflow\": {\"id\": \"92112d97-bb64-4b44-86f2-ea5691ef8f6e\", \"revision\": 0, \"last_node_id\": 116, \"last_link_id\": 203, \"nodes\": [{\"id\": 79, \"type\": \"MarkdownNote\", \"pos\": [-1308.6300497551392, -37.80089788380288], \"size\": [430, 657.4739583333334], \"flags\": {}, \"order\": 0, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n**text_encoders**\\n\\n- [qwen_3_4b.safetensors](https://huggingface.co/Comfy-Org/flux2-klein/resolve/main/split_files/text_encoders/qwen_3_4b.safetensors)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-4b.safetensors](https://huggingface.co/Comfy-Org/flux2-klein/resolve/main/split_files/diffusion_models/flux-2-klein-base-4b.safetensors)\\n- [flux-2-klein-4b.safetensors](https://huggingface.co/Comfy-Org/flux2-klein/resolve/main/split_files/diffusion_models/flux-2-klein-4b.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_4b.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u251c\\u2500\\u2500 flux-2-klein-base-4b.safetensors\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 flux-2-klein-4b.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare the required models. Desktop/Cloud ship stable builds; nightly-supported models may not be included yet, please wait for the next stable release.\\n\\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\\n\\n\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 100, \"type\": \"KSamplerSelect\", \"pos\": [4.730319759578265, 1321.1854183238709], \"size\": [270, 58], \"flags\": {}, \"order\": 1, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"name\": \"SAMPLER\", \"type\": \"SAMPLER\", \"links\": [188]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"Node name for S&R\": \"KSamplerSelect\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, 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\"link\": 193}, {\"name\": \"height\", \"type\": \"INT\", \"widget\": {\"name\": \"height\"}, \"link\": 194}], \"outputs\": [{\"name\": \"LATENT\", \"type\": \"LATENT\", \"links\": [190]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"Node name for S&R\": \"EmptyFlux2LatentImage\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [1024, 1024, 1]}, {\"id\": 109, \"type\": \"VAELoader\", \"pos\": [-921.2696802404217, 1401.018768755754], \"size\": [364.42708333333337, 58], \"flags\": {}, \"order\": 2, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"name\": \"VAE\", \"type\": \"VAE\", \"links\": [192]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"Node name for S&R\": \"VAELoader\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", 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[3.3969994915755706, 992.3520847197149, 532.3638671875, 550], \"color\": \"#3f789e\", \"font_size\": 24, \"flags\": {}}, {\"id\": 4, \"title\": \"Image Size\", \"bounding\": [-926.6030005084244, 1572.3520847197149, 380, 350], \"color\": \"#3f789e\", \"font_size\": 24, \"flags\": {}}], \"config\": {}, \"extra\": {\"ds\": {\"scale\": 1.3003982165078833, \"offset\": [-176.21094119217457, -1143.2994284841823]}, \"frontendVersion\": \"1.37.11\", \"workflowRendererVersion\": \"LG\", \"VHS_latentpreview\": false, \"VHS_latentpreviewrate\": 3, \"VHS_MetadataImage\": true, \"VHS_KeepIntermediate\": true}, \"version\": 0.4, \"seed_widgets\": {\"106\": 0}}}", + "prompt": "POV hand, zoom in, man's right hand is touching woman's cheek standing at the bar behind the bar. woman is holding a beer glass", + "sampler": "Euler", + "additionalResources": [ + { + "name": "f2k_hand_pov_8000s.safetensors", + "type": "lora", + "strength": 1 + } + ] + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/POV hand - Klein-9b (t2i, i2i editing)/extra_data-vid_2640656/model_dict-mid_2347738-vid_2640656.json b/klein-9b/lora/POV hand - Klein-9b (t2i, i2i editing)/extra_data-vid_2640656/model_dict-mid_2347738-vid_2640656.json new file mode 100644 index 0000000000000000000000000000000000000000..d822c843e6e5cc56fb7aea468c196ef453f5e1d4 --- /dev/null +++ b/klein-9b/lora/POV hand - Klein-9b (t2i, i2i editing)/extra_data-vid_2640656/model_dict-mid_2347738-vid_2640656.json @@ -0,0 +1,213 @@ +{ + "id": 2347738, + "name": "POV hand - Klein-9b (t2i, i2i editing)", + "description": "

This lora adds a man's hand in POV (point of view scenario) to an existing image in editing mode.

it also works in text2image mode, use same prompts.

I was was trained on 30 pairs for 8000 steps in oneTrainer on base checkpoint. Use with distilled checkpoint with 4 steps.

prompt template: POV hand, zoom in, man's left hand is grabbing her boobs.

hand can: touch, grab, pull.

There were some nsfw pics in a dataset, but you'd better add some other nsfw lora for that purpose.

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit,Rent,Sell}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": false, + "nsfwLevel": 31, + "availability": "Public", + "userId": 52004, + "cosmetic": null, + "supportsGeneration": false, + "stats": { + "downloadCount": 501, + "thumbsUpCount": 31, + "thumbsDownCount": 1, + "commentCount": 4, + "tippedAmountCount": 0 + }, + "creator": { + "username": "tensorbanana", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/d64a301f-2929-46f5-97a6-c916e387bd02/width=96/tensorbanana.jpeg" + }, + "tags": [ + "pov", + "concept", + "hand" + ], + "modelVersions": [ + { + "id": 2640656, + "index": 0, + "name": "v1.0", + "baseModel": "Flux.2 Klein 9B", + "baseModelType": "Standard", + "createdAt": "2026-01-29T13:18:16.587Z", + "publishedAt": "2026-01-29T13:31:14.752Z", + "status": "Published", + "availability": "Public", + 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Please upload your images via \"+add post\" at the bottom of the page. It helps the creators. Thank you!

Also consider leaving a like, a comment or donate some Buzz if you like my LoRA.
Much love as always!

PAINTERLY FANTASY

Important info for prompting:

Trigger is:\"in the style of ckpf,\"

Strength: 0.8 - 1.0 LOCAL GENERATION


Got minor issues with weapon holding and hands in testing. I recommend 0.8 strenght.


Prompting for FLUX:

All the prompts I used are included in the example images to get you going!

Images made with: Flux.dev

Sampling method: Euler

Sampling steps: 40

Distilled CFG Scale: 3.5 but you can experiment as well

Clipskip: 1

I am using Hires.fix with the following settings:

Upscaler: 4x-AnimeSharp
Hires steps: 10
Denoise: 0.20
Upscale by: 1.2x - 4.0x

________________________________________________________________________________________

Prompting for IL:

All the prompts I used are included in the example images to get you going!

Images made with: WAI-NSFW-illustrious-SDXL

Sampling method: Euler a

Sampling steps: 30

CFG Scale: 5 but you can experiment as well

Clipskip: 2

I am using Hires.fix with the following settings:

Upscaler: ESRGAN 4x+ Anime6B
Hires steps: 20
Denoise: 0.35
Upscale by: 1.3x

Join us at:
https://discord.gg/pAz4Bt3rqb

Have fun with it and be creative!

You can buy me a coffee ˗ˏˋ☕ˎˊ˗ here ❤️

Yours ChronoKnight

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USE at 0.9 strength
GOOD TRIGGERS: 1girl, green teal theme, orange theme, white theme

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Trigger word is in the description, I generate without but you can also try it with the trigger to see which output you like best.

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Tested with: WAI-NSFW-illustrious-SDXL

Euler A, 30 Steps, CFG 5

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" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/Pale Skin - Redhead Enhancer/extra_data-vid_2698015/model_dict-mid_2398334-vid_2698015.json b/klein-9b/lora/Pale Skin - Redhead Enhancer/extra_data-vid_2698015/model_dict-mid_2398334-vid_2698015.json new file mode 100644 index 0000000000000000000000000000000000000000..14bd3077f3efd10209f2d4bbe835aae00c9f1edd --- /dev/null +++ b/klein-9b/lora/Pale Skin - Redhead Enhancer/extra_data-vid_2698015/model_dict-mid_2398334-vid_2698015.json @@ -0,0 +1,695 @@ +{ + "id": 2398334, + "name": "Pale Skin - Redhead Enhancer", + "description": "

It has little affect on properly prompted images that produce good pale skin, and images which don't prompt for pale skin (see examples) but can have a significant effect on images that are under prompted for pale skin.

Also almost always produces ghost nipples.

V1.5:

Use at 1.0 weight

Produces better details, but also is more likely to cause face changes

Images were generated at lora weight 1.0

V1.0:

Testing to see if I can get pale skin more easily in Klein 9b. This mostly seems to be working, although I'm not particularly happy with it. It seems to lose some detail and needs to be set to quite a high strength to be effective: 2.0 - 3.0.

While it mostly maintains the images, it prefers nudity and tends to make everything a little brighter.

Images were generated with Lora weight 3.0

I'm working on training it more to see if I can have it be more effective at a lower weight, but I imagine it will start to affect the image composition more.

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Details are improved now, but can affect faces more

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Lora was made in klein 9b base, but I've only tested it using distilled.

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Lightweight rank 8 lora to help with the concept of pulling panties to the side.

Dataset is similar to view of the example pics, some cherry picking might be needed.

No trigger, just describe the scene. works a lot better combined with snofs

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please keep it clean and respectful while using this lora

V2.0

balanced the three types of penis in dataset, and add cum conception into the Lora

How to use:

3 types of penis are supported:

Upward, forward and Downward penis.

use big/small to adjust penis size
(fx. small forward penis)

Liquid interaction is supported:

liquid (milky cum/beer) ejaculates/drips from the tip of his penis, falls on/into location/objective/container.

available both in T2I and I2I

works on Futa as well !!!
your support and comments are my motivation


V1.6

use close-up penis image and image pairs (penis & no penis) to train this model.
able to add three types of penis (upward, downward, forward)

next version will try to add conception of cumming in this model.


V1.5 (b):

used AI generated beautiful cook as training data, the penis looks more tempting.
It works for T2I and image edit. This one can always generate penis, but the type of penis is not very controllable, further training will come in the future.



However, this version works very good in transforming animated penis to realistic style.

use prompt: '将平面插画转绘为真实摄影: hairy, muscular naked male with a penis in his crotch. Milky cum ejaculates/drips from the tip of penis.'

trigger word:
a forward penis in his crotch.
an upward penis in his crotch.

a downward penis in his crotch.

may work:
a downward penis in his crotch.

Milky cum drips from the tip of his penis.

V1.5 (a):
used AI generated beautiful cook as training data, the penis looks more tempting.
It works for T2I and image edit. works good for upward/downward erect penis, but may fail sometimes


trigger word:
a forward penis in his crotch.
an upward penis in his crotch.

may work:
a downward penis in his crotch.

Milky cum drips from the tip of his penis.

V1:
Prompt:

erect penis
show his anus, and erect penis

dataset:
Trained on 26 image medium-shot + close-shot (naked)
firstly use Klein 9b to put clothes/shorts on those images (clothed)
caption the clothed image in Gemini, require it not describe person's appearance, and then manually deleted all 'pants/shorts/underwear wearing' description. use those captions for naked image set

training:

trained in I2I mode by Aitoolkit, using clothed images as input, naked images as target.

Trained with 2e-4 learning rate, 32 rank for 2600 steps.
training resolution:521 and 768
turn on Differential Guidance and set it to 4 instead of 3.

other setting was in default.

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add conception of cum

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For 3 types of penis

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used AI generated beautiful cook as training data, the penis looks more tempting.

trigger word:
a forward penis in his crotch.
an upward penis in his crotch.

may work:
a downward penis in his crotch.

Milky cum drips from the tip of his penis.

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LoRA for petite breasts as text-2-image or as image edit.

Works really well on Flux2-base-9b at strength 1.0 but for distilled versions of the model you may need to push the strength up to 1.5 or 1.6.

it was trained without a trigger word but captioned with \"petite breasts\" so that works well. e.g. \"woman with petite breasts...\" or for edit \"make her have petite breasts\"

Feedback appreciated and have fun with it.

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This photograph features a man in a sleeveless shirt and jeans, messy hair, sitting at a bar counter with bottles and shadow-heavy noise." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2851682/127219063.jpeg b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2851682/127219063.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..e3fac71fceeda1e516efa17dd3376f8f6100827f --- /dev/null +++ b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2851682/127219063.jpeg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:25c26ca10af8f0443ad1e164e648572682659b51eb2eea5b0719a0360e51488a +size 727237 diff --git a/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2851682/127219063.json b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2851682/127219063.json new file mode 100644 index 0000000000000000000000000000000000000000..d540bb38fd75a0179f28de84810c8ef922f9d0eb --- /dev/null +++ b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2851682/127219063.json @@ -0,0 +1,25 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/aca2af87-8857-4bf8-bd1d-67b41c6fe821/original=true/127219063.jpeg", + "nsfwLevel": 1, + "width": 896, + "height": 1152, + "hash": "U9Dvu~~Wp__300tQ~WM{019Z8_n#^PoJE2OD", + "type": "image", + "metadata": { + "hash": "U9Dvu~~Wp__300tQ~WM{019Z8_n#^PoJE2OD", + "size": 727237, + "width": 896, + "height": 1152, + "nsfwLevelReason": "Knights Vote" + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "A low-quality photo taken with a 2000s mobile phone camera with poor dynamic range, grainy texture, dull colors and underexposed lighting. This photograph features a woman wearing a striped long-sleeve shirt and boots, long hair, sitting on stairs in a dim building with strong shadow grain." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2851682/127219066.jpeg b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2851682/127219066.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..e0ea5703bedbfac769ebbdd2fa4333a770174024 --- /dev/null +++ b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2851682/127219066.jpeg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:09df55404fba13030f3777244fd647d44f5426be905fbae0f2e69a6b3ecbe0bf +size 620536 diff --git a/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2851682/127219066.json b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2851682/127219066.json new file mode 100644 index 0000000000000000000000000000000000000000..788eafb2493d496cb7ba86a5904963c2558a5509 --- /dev/null +++ b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2851682/127219066.json @@ -0,0 +1,25 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/2c613224-87e9-4ee4-99d5-ca476fdde5b3/original=true/127219066.jpeg", + "nsfwLevel": 1, + "width": 896, + "height": 1152, + "hash": "U27nXc^h0000[A.900TK004n%NnN0MD%~q%0", + "type": "image", + "metadata": { + "hash": "U27nXc^h0000[A.900TK004n%NnN0MD%~q%0", + "size": 620536, + "width": 896, + "height": 1152, + "nsfwLevelReason": "Knights Vote" + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "A low-quality photo taken with a 2000s mobile phone camera with poor dynamic range, grainy texture, dull colors and underexposed lighting. This photograph features a woman in a leather jacket and dark jeans, short hair, singing into a microphone in a small dark venue with noisy background." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2851682/model_dict-mid_2537408-vid_2851682.json b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2851682/model_dict-mid_2537408-vid_2851682.json new file mode 100644 index 0000000000000000000000000000000000000000..c9e58bfe9194c126fd3341a3fb2f3fbe7d5aedaf --- /dev/null +++ b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2851682/model_dict-mid_2537408-vid_2851682.json @@ -0,0 +1,1346 @@ +{ + "id": 2537408, + "name": "Phone Photography (2000-2025) - Klein 9b", + "description": "

❤️ Please Consider Supporting My Work
I love building open tools and LoRA models for everyone. If you find this useful, consider supporting me with a coffee. It helps me create even better and more models!
👉 https://ko-fi.com/vizsumit

LoRAs for simulating phone photography styles of different eras (2000-2025):

A set of LoRAs designed to replicate smartphone photography styles from 2000 to 2025, capturing the shift from noisy, low-res images to modern AI-enhanced clarity.

✔️ All have basic NSFW capabilities.

2000: Nostalgic early camera phones with low resolution, heavy noise, poor dynamic range, and washed-out or very dark colors.

2007: Slightly clearer but still soft and artifact-heavy, with inconsistent colors, blown highlights, crushed shadows, and harsh flash.

2014: (WIP) Sharper images with more vibrant colors, better detail, and a noticeable early Instagram-style look.

2020: Clean, detailed photos with HDR, balanced exposure, and natural-looking colors but slightly dull skin tones.

2025: Ultra-sharp, AI-enhanced images with perfect exposure, smooth tones, and highly refined detail that can feel almost unreal.

For promtps please check samples.

Editing also works. Just add word 'make' beore rest of the trigger prompt, example: Make this is a candid photograph taken with a smartphone.\"

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LoRAs for simulating phone photography styles of different eras (2000-2025):

A set of LoRAs designed to replicate smartphone photography styles from 2000 to 2025, capturing the shift from noisy, low-res images to modern AI-enhanced clarity.

✔️ All have basic NSFW capabilities.

2000: Nostalgic early camera phones with low resolution, heavy noise, poor dynamic range, and washed-out or very dark colors.

2007: Slightly clearer but still soft and artifact-heavy, with inconsistent colors, blown highlights, crushed shadows, and harsh flash.

2014: (WIP) Sharper images with more vibrant colors, better detail, and a noticeable early Instagram-style look.

2020: Clean, detailed photos with HDR, balanced exposure, and natural-looking colors but slightly dull skin tones.

2025: Ultra-sharp, AI-enhanced images with perfect exposure, smooth tones, and highly refined detail that can feel almost unreal.

For promtps please check samples.

Editing also works. Just add word 'make' beore rest of the trigger prompt, example: Make this is a candid photograph taken with a smartphone.\"

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit,Rent,Sell}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": false, + "nsfwLevel": 7, + "availability": "Public", + "userId": 185100, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 1592, + "thumbsUpCount": 121, + "thumbsDownCount": 0, + "commentCount": 0, + "tippedAmountCount": 7750 + }, + "creator": { + "username": "vizsumit", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4aa1ccfa-e2b7-4ed5-9a9d-2ffb44aafaae/width=96/vizsumit.jpeg" + }, + "tags": [ + "style", + "photography", + "amateur", + "phone", + "smartphone", + "candid" + ], + "modelVersions": [ + { + "id": 2862425, + "index": 0, + "name": "2025_KL_9B", + "baseModel": "Flux.2 Klein 9B", + "baseModelType": "Standard", + "createdAt": "2026-04-16T06:52:29.898Z", + "publishedAt": "2026-04-19T07:23:02.722Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 7, + "trainedWords": [ + "This is a candid photograph taken with a smartphone of" + ], + "covered": true, + "stats": { + "downloadCount": 182, + "thumbsUpCount": 52, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2756589, + "sizeKB": 161821.8671875, + "name": "Phone_Photography_2025_KL_9B.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-04-20T03:30:41.371Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "F6D3E316", + "AutoV2": "792532B4A8", + "SHA256": "792532B4A8BD38E96267C7ED828696B2E8E8F28A4DA108A015BE6CEACDD3CFFF", + "CRC32": "7D329C33", + "BLAKE3": "2F9D7E09558DB000779347694B03EA40ED9EECBD9F30556583CA3CDFC31C2EE1", + "AutoV3": "33BA5EC7A837" + }, + "downloadUrl": "https://civitai.com/api/download/models/2862425", + "primary": true + } + ], + "images": [ + 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Background includes a white wooden fence and distant hills by the ocean." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2853736/127298368.jpeg b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2853736/127298368.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..469b40fdcc70a7eaf97863f861472879607fa5b6 --- /dev/null +++ b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2853736/127298368.jpeg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4f32dfd1a7578f5fb8eb9af351b673a02961a361964bcb01ba3076b95949819a +size 1064572 diff --git a/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2853736/127298368.json b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2853736/127298368.json new file mode 100644 index 0000000000000000000000000000000000000000..6a92dc4c081154e60dfa2eb826c54e1cc6390b45 --- /dev/null +++ b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2853736/127298368.json @@ -0,0 +1,25 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4856cbcd-06f5-4ac3-b819-888a79b1031b/original=true/127298368.jpeg", + "nsfwLevel": 1, + "width": 1120, + "height": 1440, + "hash": "U3FY#_00?@_49D8}00-=FjDw01_3T|9EDj?v", + "type": "image", + "metadata": { + "hash": "U3FY#_00?@_49D8}00-=FjDw01_3T|9EDj?v", + "size": 1064572, + "width": 1120, + "height": 1440, + "nsfwLevelReason": "Knights Vote" + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "This is a candid photograph taken with a low-end smartphone of a woman jogging along a park pathway, wearing athletic clothes and earphones." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2853736/127298371.jpeg b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2853736/127298371.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..14aed9591d039c7a163e4bde73c26b2830239dc0 --- /dev/null +++ b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2853736/127298371.jpeg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ca9334f612dd714ac608b67b873bb8cd197d2c03aa919c37ea891fd01cca5b97 +size 674611 diff --git a/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2853736/127298371.json b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2853736/127298371.json new file mode 100644 index 0000000000000000000000000000000000000000..216afcb9791472babdf7756ea135cd6af2d7622e --- /dev/null +++ b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2853736/127298371.json @@ -0,0 +1,25 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/50cab3cb-1248-43f0-a2f0-e598bb07a607/original=true/127298371.jpeg", + "nsfwLevel": 1, + "width": 1120, + "height": 1440, + "hash": "UJEexy~VS^s:?b-:xaoL0NS4-VjaxuM~R*j[", + "type": "image", + "metadata": { + "hash": "UJEexy~VS^s:?b-:xaoL0NS4-VjaxuM~R*j[", + "size": 674611, + "width": 1120, + "height": 1440, + "nsfwLevelReason": "Knights Vote" + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "This is a candid photograph taken with a low-end smartphone of very pretty caucasian girl at age 18 (with subtle alternative-style makeup and short, curly brown hair with soft layers and see-through side bangs), her hair is styled as a wolf cut, she is sitting in the selfie, which was taken at night in paris, with an average looking tenement visible in the background, its in the rural part of the city with a park in the back. The angle is messy, with slight motion blur and overexposure. " + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2853736/model_dict-mid_2537408-vid_2853736.json b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2853736/model_dict-mid_2537408-vid_2853736.json new file mode 100644 index 0000000000000000000000000000000000000000..c9e58bfe9194c126fd3341a3fb2f3fbe7d5aedaf --- /dev/null +++ b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2853736/model_dict-mid_2537408-vid_2853736.json @@ -0,0 +1,1346 @@ +{ + "id": 2537408, + "name": "Phone Photography (2000-2025) - Klein 9b", + "description": "

❤️ Please Consider Supporting My Work
I love building open tools and LoRA models for everyone. If you find this useful, consider supporting me with a coffee. It helps me create even better and more models!
👉 https://ko-fi.com/vizsumit

LoRAs for simulating phone photography styles of different eras (2000-2025):

A set of LoRAs designed to replicate smartphone photography styles from 2000 to 2025, capturing the shift from noisy, low-res images to modern AI-enhanced clarity.

✔️ All have basic NSFW capabilities.

2000: Nostalgic early camera phones with low resolution, heavy noise, poor dynamic range, and washed-out or very dark colors.

2007: Slightly clearer but still soft and artifact-heavy, with inconsistent colors, blown highlights, crushed shadows, and harsh flash.

2014: (WIP) Sharper images with more vibrant colors, better detail, and a noticeable early Instagram-style look.

2020: Clean, detailed photos with HDR, balanced exposure, and natural-looking colors but slightly dull skin tones.

2025: Ultra-sharp, AI-enhanced images with perfect exposure, smooth tones, and highly refined detail that can feel almost unreal.

For promtps please check samples.

Editing also works. Just add word 'make' beore rest of the trigger prompt, example: Make this is a candid photograph taken with a smartphone.\"

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit,Rent,Sell}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": false, + "nsfwLevel": 7, + "availability": "Public", + "userId": 185100, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 1592, + "thumbsUpCount": 121, + "thumbsDownCount": 0, + "commentCount": 0, + "tippedAmountCount": 7750 + }, + "creator": { + "username": "vizsumit", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4aa1ccfa-e2b7-4ed5-9a9d-2ffb44aafaae/width=96/vizsumit.jpeg" + }, + "tags": [ + "style", + "photography", + "amateur", + "phone", + "smartphone", + "candid" + ], + "modelVersions": [ + { + "id": 2862425, + "index": 0, + "name": "2025_KL_9B", + "baseModel": "Flux.2 Klein 9B", + "baseModelType": "Standard", + "createdAt": "2026-04-16T06:52:29.898Z", + "publishedAt": "2026-04-19T07:23:02.722Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 7, + "trainedWords": [ + "This is a candid photograph taken with a smartphone of" + ], + "covered": true, + "stats": { + "downloadCount": 182, + "thumbsUpCount": 52, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2756589, + "sizeKB": 161821.8671875, + "name": "Phone_Photography_2025_KL_9B.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-04-20T03:30:41.371Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "F6D3E316", + "AutoV2": "792532B4A8", + "SHA256": "792532B4A8BD38E96267C7ED828696B2E8E8F28A4DA108A015BE6CEACDD3CFFF", + "CRC32": "7D329C33", + "BLAKE3": "2F9D7E09558DB000779347694B03EA40ED9EECBD9F30556583CA3CDFC31C2EE1", + "AutoV3": "33BA5EC7A837" + }, + "downloadUrl": "https://civitai.com/api/download/models/2862425", + "primary": true + } + ], + "images": [ + 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"minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2851682" + } + ] +} \ No newline at end of file diff --git a/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2862425/127687737.jpeg b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2862425/127687737.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..c9d574d112ab147a6c535a94875514694c494032 --- /dev/null +++ b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2862425/127687737.jpeg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6d4f17dd18b8643ccf818df8279b02f9770dbd15cb827832695bf34d1db7d9b6 +size 609333 diff --git a/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2862425/127687737.json b/klein-9b/lora/Phone Photography (2000-2025) - Klein 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She is leaning back on her elbows, looking out at the water with a relaxed expression. The late afternoon light is catching the side of her face, showing natural skin pores and a few stray hairs across her forehead. In the background, the water has a slight choppy texture under a pale blue sky." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2862425/127687738.jpeg b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2862425/127687738.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..da3abdffc08f8e05be3f1a5d5d027740e8ceac9a --- /dev/null +++ b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2862425/127687738.jpeg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ca83a06e13325329183732478c8eaf4c575f1098359ce6ee286c8b85e6ee5b03 +size 772997 diff --git a/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2862425/127687738.json b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2862425/127687738.json new file mode 100644 index 0000000000000000000000000000000000000000..56028c24796ce22feb5be936496f0aac5921302d --- /dev/null +++ b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2862425/127687738.json @@ -0,0 +1,24 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/60664c56-8cd0-4f36-8446-6d5d34b313cb/original=true/127687738.jpeg", + "nsfwLevel": 2, + "width": 1120, + "height": 1440, + "hash": "UFG8QD.9?^?bA1Rp9$aM0itS-WEO?cb{xv%2", + "type": "image", + "metadata": { + "hash": "UFG8QD.9?^?bA1Rp9$aM0itS-WEO?cb{xv%2", + "size": 772997, + "width": 1120, + "height": 1440 + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "This is a candid photograph taken with a smartphone of a woman leaning against a rusted chain-link fence in an urban industrial park. She is wearing a simple black tank top and has a small silver necklace catching the light. The midday sun is directly overhead, creating short, sharp shadows under her eyes and nose, emphasizing a raw and unpolished look. Behind her, a stack of colorful shipping containers provides a vibrant but out-of-focus backdrop." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2862425/127687744.jpeg b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2862425/127687744.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..921eaa2b9adcb8a4655ab66b7907e9cc8b4715be --- /dev/null +++ b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2862425/127687744.jpeg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:151b2526cea47b362b39ea531fc1dcda6d4b1e6573f22d812eb1a1dc7d1e1a72 +size 1096321 diff --git a/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2862425/127687744.json b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2862425/127687744.json new file mode 100644 index 0000000000000000000000000000000000000000..33b531c0b959414f4693aa40b702568a0947eda0 --- /dev/null +++ b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2862425/127687744.json @@ -0,0 +1,24 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/1ba9779f-6d79-4daf-a289-3a8afdd4f161/original=true/127687744.jpeg", + "nsfwLevel": 2, + "width": 1120, + "height": 1440, + "hash": "UGHLSJ~V.5t6KMN|9uadt:?I=y%1_La$s*Io", + "type": "image", + "metadata": { + "hash": "UGHLSJ~V.5t6KMN|9uadt:?I=y%1_La$s*Io", + "size": 1096321, + "width": 1120, + "height": 1440 + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "This is a candid photograph taken with a smartphone of a woman laughing while sitting on a colorful towel in a public park. She is mid-gesture, holding a plastic cup of iced tea, with grass stains visible on the knees of her light-wash jeans. The bright midday sun creates a slight lens flare at the top corner of the frame and brings out the vivid greens of the trees behind her." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2862425/model_dict-mid_2537408-vid_2862425.json b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2862425/model_dict-mid_2537408-vid_2862425.json new file mode 100644 index 0000000000000000000000000000000000000000..c9e58bfe9194c126fd3341a3fb2f3fbe7d5aedaf --- /dev/null +++ b/klein-9b/lora/Phone Photography (2000-2025) - Klein 9b/extra_data-vid_2862425/model_dict-mid_2537408-vid_2862425.json @@ -0,0 +1,1346 @@ +{ + "id": 2537408, + "name": "Phone Photography (2000-2025) - Klein 9b", + "description": "

❤️ Please Consider Supporting My Work
I love building open tools and LoRA models for everyone. If you find this useful, consider supporting me with a coffee. It helps me create even better and more models!
👉 https://ko-fi.com/vizsumit

LoRAs for simulating phone photography styles of different eras (2000-2025):

A set of LoRAs designed to replicate smartphone photography styles from 2000 to 2025, capturing the shift from noisy, low-res images to modern AI-enhanced clarity.

✔️ All have basic NSFW capabilities.

2000: Nostalgic early camera phones with low resolution, heavy noise, poor dynamic range, and washed-out or very dark colors.

2007: Slightly clearer but still soft and artifact-heavy, with inconsistent colors, blown highlights, crushed shadows, and harsh flash.

2014: (WIP) Sharper images with more vibrant colors, better detail, and a noticeable early Instagram-style look.

2020: Clean, detailed photos with HDR, balanced exposure, and natural-looking colors but slightly dull skin tones.

2025: Ultra-sharp, AI-enhanced images with perfect exposure, smooth tones, and highly refined detail that can feel almost unreal.

For promtps please check samples.

Editing also works. Just add word 'make' beore rest of the trigger prompt, example: Make this is a candid photograph taken with a smartphone.\"

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit,Rent,Sell}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": false, + "nsfwLevel": 7, + "availability": "Public", + "userId": 185100, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 1592, + "thumbsUpCount": 121, + "thumbsDownCount": 0, + "commentCount": 0, + "tippedAmountCount": 7750 + }, + "creator": { + "username": "vizsumit", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4aa1ccfa-e2b7-4ed5-9a9d-2ffb44aafaae/width=96/vizsumit.jpeg" + }, + "tags": [ + "style", + "photography", + "amateur", + "phone", + "smartphone", + "candid" + ], + "modelVersions": [ + { + "id": 2862425, + "index": 0, + "name": "2025_KL_9B", + "baseModel": "Flux.2 Klein 9B", + "baseModelType": "Standard", + "createdAt": "2026-04-16T06:52:29.898Z", + "publishedAt": "2026-04-19T07:23:02.722Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 7, + "trainedWords": [ + "This is a candid photograph taken with a smartphone of" + ], + "covered": true, + "stats": { + "downloadCount": 182, + "thumbsUpCount": 52, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2756589, + "sizeKB": 161821.8671875, + "name": "Phone_Photography_2025_KL_9B.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-04-20T03:30:41.371Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "F6D3E316", + "AutoV2": "792532B4A8", + "SHA256": "792532B4A8BD38E96267C7ED828696B2E8E8F28A4DA108A015BE6CEACDD3CFFF", + "CRC32": "7D329C33", + "BLAKE3": "2F9D7E09558DB000779347694B03EA40ED9EECBD9F30556583CA3CDFC31C2EE1", + "AutoV3": "33BA5EC7A837" + }, + "downloadUrl": "https://civitai.com/api/download/models/2862425", + "primary": true + } + ], + "images": [ + 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The subject is positioned approximately one metre in front of the backdrop to avoid shadow merging and maintain clarity.\n\nFine details include micro-texture in the lace sleeves with semi-transparency revealing faint skin tone beneath, soft fabric tension lines across the bodice, and natural skin variation with gentle tonal shifts around the eyes and cheeks. The hair has controlled shine with individual strands catching light, and the eyes contain small specular highlights that define moisture and curvature.\n\nA precise lighting setup prioritises eye clarity: a soft diffused key light from camera-left at eye level in neutral daylight #E3E8ED illuminates the face evenly, producing clean catchlights in both eyes and revealing iris detail. A secondary, weaker fill light from camera-right in soft grey #C5CCD3 reduces harsh shadow without flattening form. A subtle top light from slightly above and in front adds a faint highlight across the fringe and upper cheekbones. A very gentle rim light from behind in cool grey #D0D6DC separates the hair from the background without overpowering the scene. Lighting is balanced to avoid overly soft diffusion, preserving contrast and fine detail in the eyes.\n\nThe atmosphere is minimal, controlled, and intimate, focusing entirely on expression and presence without distraction.\n\nStyle: refined gothic fashion portrait with hyper-realistic facial detail \nMood: confident, composed, subtly mocking", + "sampler": "Euler", + "cfgScale": 1 + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/Porcelain Gothic Skin/extra_data-vid_2873096/model_dict-mid_2551056-vid_2873096.json b/klein-9b/lora/Porcelain Gothic Skin/extra_data-vid_2873096/model_dict-mid_2551056-vid_2873096.json new file mode 100644 index 0000000000000000000000000000000000000000..d4a996cc3a39ce486903ac546c30330f4ce3fb8a --- /dev/null +++ b/klein-9b/lora/Porcelain Gothic Skin/extra_data-vid_2873096/model_dict-mid_2551056-vid_2873096.json @@ -0,0 +1,496 @@ +{ + "id": 2551056, + "name": "Porcelain Gothic Skin", + "description": "

Trigger Words: DRKM4GE, DRKM4GE style, porcelain white skin


Porcelain Gothic Skin is a portrait-focused LoRA designed to produce ultra-smooth, porcelain-style skin with soft cinematic lighting and high facial clarity.

This model specializes in:

  • Clean, luminous skin with subtle blush tones

  • Soft, melancholic expressions with natural asymmetry

  • High-detail eyes with sharp irises and gentle reflections

  • Smooth lighting transitions and refined highlight rolloff

  • Gothic / dark fantasy aesthetic with elegant composition

It is ideal for close-up portraits and head-and-shoulders compositions where facial quality and lighting are the priority.

v4.0 — Z-Image Turbo (Latest) Brings Porcelain Gothic Skin to Z-Image Turbo. Adds dark fantasy style transfer and sharper overall detail on top of the skin quality. Locks a slim petite character build consistently. Stack with Midjourney_Luneva_Cinematic_v1 and DnDDarkestFantasyZ.

Start with: <lora:DRKM4GE_v4:0.5>, DRKM4GE, porcelain white skin

Recommended range: 0.5–0.75. Use prose paragraph prompts — tag soup underperforms on Z-Image Turbo.

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Porcelain Gothic Skin is a style and character LoRA for Z-Image Turbo that transfers a polished 2.5D dark fantasy illustration aesthetic — porcelain skin, sharp detail enhancement, and a consistent slim petite character build — from a single trigger word.

What it does:

  • Porcelain pale skin with soft luminous quality

  • Sharpens overall image detail — hair strands, fabric texture, eye clarity

  • Locks a slim, petite body type

  • Transfers a dark gothic illustrated rendering style

Usage: Start with <lora:DRKM4GE_v4:0.5>, DRKM4GE, porcelain white skin and stack with a detail LoRA and a style LoRA for best results. Works well at 0.5–0.75. Above 0.75 a paint layer effect appears.

Tips:

  • Works best with projectAnime_v10FP16 but is compatible with the base ZIT checkpoint

  • Stack with MS_Fantasy_Style_ZIT_V6 for face and eye quality

  • Stack with DnDDarkestFantasyZ for dark fantasy environments

  • Always use prose paragraph prompts — tag soup underperforms on Z-Image Turbo

  • Include adult face anchors for best results: mature face, high cheekbones, sharp jaw

Base Model: Z-Image Turbo Trigger: DRKM4GE Recommended strength: 0.5

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v3.0 — Major Quality Upgrade

This version significantly improves facial realism, expression, and lighting response.
The model now produces more lifelike eyes, better skin tone variation, and stronger emotional presence compared to previous versions.

Key improvements:

  • Improved facial structure and consistency

  • Enhanced eye detail and gaze realism

  • More expressive, intentional expressions (less “neutral” outputs)

  • Better lighting response and contrast handling

  • Cleaner anatomy and material rendering

This version performs best with waist-up portraits and close framing, where facial detail and expression are emphasized.

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drkm4ge Pale Skin | SDXL LoRA (No Trigger Required)

A high-quality SDXL LoRA designed to produce pale, porcelain-style skin with soft natural texture, strong facial consistency, and expressive detail.

This model was trained on a carefully curated dataset to maintain clean anatomy, stable identity, and reliable results across a wide range of lighting conditions — from soft natural daylight to high-contrast cinematic scenes.

Key Features

  • Smooth, porcelain skin without waxy or plastic artifacts

  • Strong eye detail with consistent alignment and expression

  • Stable facial structure across prompts and lighting conditions

  • Works in both soft realism and stylized cinematic compositions

  • Clean separation of subject and background with good depth

No Trigger Word Required

This LoRA activates naturally in most portrait prompts.

You can optionally include:
\"drkm4ge style\"
for slightly stronger stylization, but it is not required.

Recommended Settings

  • Weight: 0.6 – 0.75

  • Sampler: DPM++ 2M Karras

  • Steps: 30–40

  • CFG: 5.5 – 6.5

Best Use Cases

  • Portraits and close-up character work

  • Pale / porcelain skin rendering

  • Stylized realism

  • Dark, gothic, or cinematic aesthetics

Notes

  • Higher weights (>0.8) may introduce slight over-sharpening

  • Best results come from well-defined lighting in your prompt

  • Maintains performance across both minimal and complex prompts

Example Prompt

portrait of a pale-skinned woman, porcelain skin, soft natural lighting, detailed eyes, subtle expression, shallow depth of field

lora:drkm4ge_style_v4:0.7

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v2.0 focuses on better versatility while keeping the original Porcelain Gothic Skin look intact.

Changes in this version:

- improved expression range

- better styling flexibility across hair, clothing, and mood

- cleaner overall polish and more consistent skin rendering

- stronger results in portrait and upper-body compositions

This version still centers on pale porcelain skin, gothic fashion, soft luminous highlights, and dark romantic atmosphere.

Recommended use:

- works best around 0.8 strength

- good range is 0.7 to 0.9

- trigger with: drkm4ge

- designed for Flux / Flux-style prompting

Thank you for the support, reactions, and downloads. This model is free, and the feedback really helps motivate future updates.

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Initial release of Gothic Porcelain Skin.

This version is trained for high-fidelity portrait rendering with a focus on:

- Ultra-smooth porcelain skin

- Soft cinematic lighting and highlight rolloff

- High-detail eyes with natural expression

- Clean, refined facial structure

Best suited for close-up and head-and-shoulders compositions.

Sweet spot strength: ~0.85

", + "covered": true, + "stats": { + "downloadCount": 70, + "thumbsUpCount": 6, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2749905, + "sizeKB": 647197.2265625, + "name": "DRKM4GE_style_v3_9B_000001250.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-04-17T14:35:43.580Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "DACB8E05", + "AutoV2": "F4DAEA2AD7", + "SHA256": "F4DAEA2AD77A7A6C34C94DB097CB3A8A1ECE2AA32E63A5974F6CAA0CD5B58710", + "CRC32": "B18AEB6E", + "BLAKE3": "DFF5EE6A351DD0E89CA8E177E0931F5C7A49F88845D0C7624C8FBB63C30FE9E4", + "AutoV3": "EDC4193B24DD" + }, + "downloadUrl": "https://civitai.com/api/download/models/2866901", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f7e895a3-d323-46f3-8aa9-3f2bea7fe594/original=true/127841678.jpeg", + "nsfwLevel": 2, + "width": 1664, + "height": 2432, + "hash": "UAC$=s9F00~WM|j?t7WC4.%2-pD*0KRj~WxZ", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/195eda8a-15ce-4e17-8e86-9e99eccc4792/original=true/127841101.jpeg", + "nsfwLevel": 2, + "width": 1328, + "height": 1941, + "hash": "UWG9BW%M?^Ip-;IARjIVozj[%2t7tRWVjZof", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/ce6fddb3-90ff-4e5c-8b69-d57610941a85/original=true/127801743.jpeg", + "nsfwLevel": 1, + "width": 1664, + "height": 2432, + "hash": "U9Ho8*E200={_N%NofD%00D%-9^+57-;%3E1", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2866901" + } + ] +} \ No newline at end of file diff --git a/klein-9b/lora/Pov Blowjob/POV Blowjob Lora V1-mid_2331924-vid_2623129.csv b/klein-9b/lora/Pov Blowjob/POV Blowjob Lora V1-mid_2331924-vid_2623129.csv new file mode 100644 index 0000000000000000000000000000000000000000..4f6946a55c073bbb26bed5f73a0037ceb1c5bf0d --- /dev/null +++ b/klein-9b/lora/Pov Blowjob/POV Blowjob Lora V1-mid_2331924-vid_2623129.csv @@ -0,0 +1,7 @@ +hash_name, hash_id +AutoV1, 17AF7127 +AutoV2, 6DF00006C4 +SHA256, 6DF00006C48023F386411F92212F3D27C3067C45264F3CA2F3B47D547706545C +CRC32, 5A8C6B0E +BLAKE3, 153CA0898383FDC78836DBF3DC152388F215CC129F4848C054D550F6C2BBCFC2 +AutoV3, D943301B7AB2 \ No newline at end of file diff --git a/klein-9b/lora/Pov Blowjob/POV Blowjob Lora V1-mid_2331924-vid_2623129.zip b/klein-9b/lora/Pov Blowjob/POV Blowjob Lora V1-mid_2331924-vid_2623129.zip new file mode 100644 index 0000000000000000000000000000000000000000..c796b58d7382aaae56cf7b0c2c5c4f3205ace75b --- /dev/null +++ b/klein-9b/lora/Pov Blowjob/POV Blowjob Lora V1-mid_2331924-vid_2623129.zip @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6df00006c48023f386411f92212f3d27c3067c45264f3ca2f3b47d547706545c +size 394347578 diff --git a/klein-9b/lora/Pov Blowjob/extra_data-vid_2623129/model_dict-mid_2331924-vid_2623129.json b/klein-9b/lora/Pov Blowjob/extra_data-vid_2623129/model_dict-mid_2331924-vid_2623129.json new file mode 100644 index 0000000000000000000000000000000000000000..ce59a0c0faa3d0a3f64fd76e36258d1f95b3b3fe --- /dev/null +++ b/klein-9b/lora/Pov Blowjob/extra_data-vid_2623129/model_dict-mid_2331924-vid_2623129.json @@ -0,0 +1,204 @@ +{ + "id": 2331924, + "name": "Pov Blowjob", + "description": "

First attempt at creating an NSFW LoRA for Klein 9B using AI Toolkit. The results vary a lot from one generation to another, so consider this more of an experiment than a finished product. 

I’m uploading two versions, try both versions, as the results are different.

Example prompt: pov photo of a latina girl with red lips she wears the Headband of image , doing a blowjob , pov from man view, the light is coming from a window. she is in a pink room, candid photo.

I’m including the basic text-to-image workflow, with the option to add an external object to the generation (objects, clothes, chokers, etc) 

 

", + "allowNoCredit": false, + "allowCommercialUse": "{RentCivit,Rent}", + "allowDerivatives": false, + "allowDifferentLicense": false, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 7557059, + "cosmetic": null, + "supportsGeneration": false, + "stats": { + "downloadCount": 326, + "thumbsUpCount": 25, + "thumbsDownCount": 0, + "commentCount": 3, + "tippedAmountCount": 0 + }, + "creator": { + "username": "Vyxen808", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/24f934af-6a8e-4918-869e-0f073f9051c7/width=96/Vyxen808.jpeg" + }, + "tags": [ + "concept", + "blowjob", + "pov" + ], + "modelVersions": [ + { + "id": 2623129, + "index": 0, + "name": "v1.0", + "baseModel": "Flux.2 Klein 9B", + "baseModelType": "Standard", + "createdAt": "2026-01-23T15:50:46.697Z", + "publishedAt": "2026-01-23T17:40:09.311Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "covered": false, + "stats": { + "downloadCount": 326, + "thumbsUpCount": 25, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2510959, + "sizeKB": 4.123046875, + "name": "POV_Klein9_workflow.zip", + "type": "Training Data", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-01-23T17:30:43.352Z", + "metadata": { + "format": "Other" + }, + "hashes": { + "AutoV2": "90D1AEED9D", + "SHA256": "90D1AEED9D4276BFCBCF5786B1430EF55B09CDB98A14B140B17AED66B595030C", + "CRC32": "EA7F782C", + "BLAKE3": "F8507F262F3BD14F43BDC370C61266C107E1CA9B029F6C7A09E3C1EADD803FC0", + "AutoV3": "BD7C4C1BC8D1" + }, + "downloadUrl": "https://civitai.com/api/download/models/2623129?type=Training%20Data" + }, + { + "id": 2510983, + "sizeKB": 385105.056640625, + "name": "POV Blowjob Lora V1.zip", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + 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"https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/bf12280b-739b-43de-b008-617ca7127e44/original=true/118482641.jpeg", + "nsfwLevel": 16, + "width": 1024, + "height": 768, + "hash": "UDG@=600~pIAK*Di~W9F?bMxE3IUNcWB-oIU", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fc2727b4-2d27-4779-a53b-e9257bc718c9/original=true/118482704.jpeg", + "nsfwLevel": 16, + "width": 1200, + "height": 1024, + "hash": "U27BS;?F00I;0NR+~n-.02R*_0IVDlaeR*D,", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/1b2357c0-e2f7-4524-b88a-80d50e52e42f/original=true/118482831.jpeg", + "nsfwLevel": 16, + "width": 1024, + "height": 768, + "hash": "UWIWy0-px]xaInIoRPnhE2f,o2%1~AWWN_M|", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/0b878fa3-a23e-428b-8adf-0a3a105e8c8b/original=true/118482906.jpeg", + "nsfwLevel": 16, + "width": 1024, + "height": 768, + "hash": "UdMiNUt,~po}-Wtlb^%fM{s:NZn%i_RjWBae", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/0d592019-31ee-49bf-8ffd-4e6cdf6e2e1f/original=true/118483127.jpeg", + "nsfwLevel": 16, + "width": 1200, + "height": 1024, + "hash": "UHKdSbxv?aR+DzD%x[M{.TtRIVt7rDWA?G-p", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": 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-0,0 +1,7 @@ +hash_name, hash_id +AutoV1, 2BC5CCDA +AutoV2, D4DB0DC7DF +SHA256, D4DB0DC7DFBD776F06589ABB3B76965A57883C521C692655B214BAEAF41EC9E2 +CRC32, 2CCE28C5 +BLAKE3, 234E8D8F68C4A2E6A421CC0826389F2422B8280237B3E057F2FE4E5111B39DC7 +AutoV3, 60A57D625DD1 \ No newline at end of file diff --git a/klein-9b/lora/Presenting ass and pussy - bent over/Presenting_ass_and_pussy_-_bent_over_epoch_32-mid_2516734-vid_2828771.safetensors b/klein-9b/lora/Presenting ass and pussy - bent over/Presenting_ass_and_pussy_-_bent_over_epoch_32-mid_2516734-vid_2828771.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..f4d60e9c8474f0020464a1911d6bb1771f325bc0 --- /dev/null +++ b/klein-9b/lora/Presenting ass and pussy - bent over/Presenting_ass_and_pussy_-_bent_over_epoch_32-mid_2516734-vid_2828771.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d4db0dc7dfbd776f06589abb3b76965a57883c521c692655b214baeaf41ec9e2 +size 165705824 diff --git a/klein-9b/lora/Presenting ass and pussy - bent over/extra_data-vid_2828771/model_dict-mid_2516734-vid_2828771.json b/klein-9b/lora/Presenting ass and pussy - bent over/extra_data-vid_2828771/model_dict-mid_2516734-vid_2828771.json new file mode 100644 index 0000000000000000000000000000000000000000..877bfa664e36cbb28fb2b6ad4ac2d9aa0e3a0031 --- /dev/null +++ b/klein-9b/lora/Presenting ass and pussy - bent over/extra_data-vid_2828771/model_dict-mid_2516734-vid_2828771.json @@ -0,0 +1,187 @@ +{ + "id": 2516734, + "name": "Presenting ass and pussy - bent over", + "description": "

If you like what you see maybe you could help me out with some buzz as I ran out of it making this Lora. I think I like to continue working on Flux.2 Klein 9B Loras.

About this Lora:

This Lora will create images of a woman presenting her pussy from behind and at will slightly from the side in the following positions: kneeling / standing / lying (tricky!) / uspide down

It is trained to show the ass spread by the woman herself or another person coming from the foreground or next to her.

Example Promt:

natural interior lighting from the side, a cinematic film screencap. as she bents over faceing away from the camera she (a woman in her 25s) is presenting her ass and pussy using both hands to spread open her gaping vagina pussy. she is kneeling on a sofa as her head is resting on the sofa rest.

Testing:

This lora meets expectations, as most of the generations react as they should, with one important exception. Getting other persons to spread the woman's pussy is very tricky.

If you need to make sure your spelling works keept the strenght between 0.75 and 0.80

Prompting help and hints:

The ass and pussy of a female person is presented and spread open by fingers

Her face is upside down in the background between her legs

upside down

hanging breasts

folded knees

gaping vagina

ass up and head down

viewed from behind and slightly from the side

kneeling

she is on her knees

she only uses one hand to spread her ass open

legs together

looking at the viewer

her vagina is spread by the hands of another person

Dataset:

Trained on a total of 227 images

tagged manually in addition to Civitai tags

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"Published", + "availability": "Public", + "nsfwLevel": 60, + "trainedWords": [ + "The ass and pussy of a female person is presented and spread open by fingers" + ], + "covered": true, + "stats": { + "downloadCount": 893, + "thumbsUpCount": 69, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2717285, + "sizeKB": 161822.09375, + "name": "Presenting_ass_and_pussy_-_bent_over_epoch_32.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-04-04T23:02:40.651Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "2BC5CCDA", + "AutoV2": "D4DB0DC7DF", + "SHA256": "D4DB0DC7DFBD776F06589ABB3B76965A57883C521C692655B214BAEAF41EC9E2", + "CRC32": "2CCE28C5", + "BLAKE3": "234E8D8F68C4A2E6A421CC0826389F2422B8280237B3E057F2FE4E5111B39DC7", + "AutoV3": "60A57D625DD1" + }, + "downloadUrl": "https://civitai.com/api/download/models/2828771", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/9cfda9ab-5ad2-49c6-9f82-d2a32e732cf5/original=true/126435118.jpeg", + "nsfwLevel": 8, + "width": 1696, + "height": 2176, + "hash": "UVJ%^8x].S%M~qkD-;%Mx]RjnixaD%aeM{R*", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fcd95752-11b6-489b-87e9-043532c79d60/original=true/126488173.jpeg", + "nsfwLevel": 16, + "width": 1920, + "height": 1920, + "hash": "UWJ7%SD%OYoz~qjExuoe?vRis:W=%fWVWBof", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/e3eb3a72-9956-414e-bd60-29a0f63754a1/original=true/126435127.jpeg", + "nsfwLevel": 8, + "width": 2320, + "height": 1584, + "hash": 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0000000000000000000000000000000000000000..d7f0a57e0dc9ce1bf8398bbb79935bc3841bc269 --- /dev/null +++ b/klein-9b/lora/Presenting ass and pussy sideways/F.2K_Pose_Presenting_ass_and_pussy_sideways_epoch_32-mid_2516676-vid_2828706.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fe142f3c6ba00ea32c792899dbb825080df00b8edbf28215aed772b54c2914e3 +size 165705736 diff --git a/klein-9b/lora/Presenting ass and pussy sideways/extra_data-vid_2828706/model_dict-mid_2516676-vid_2828706.json b/klein-9b/lora/Presenting ass and pussy sideways/extra_data-vid_2828706/model_dict-mid_2516676-vid_2828706.json new file mode 100644 index 0000000000000000000000000000000000000000..67b5181d50c4c646cbd8f8cb0afcdf742b3a031b --- /dev/null +++ b/klein-9b/lora/Presenting ass and pussy sideways/extra_data-vid_2828706/model_dict-mid_2516676-vid_2828706.json @@ -0,0 +1,148 @@ +{ + "id": 2516676, + "name": "Presenting ass and pussy sideways", + "description": "

This Lora will create images of a woman lying, sitting or standing presenting her pussy from behind.

It is trained to show a woman's vulvas slit horizontally with AND without spreading her pussy.

Example Promt:

a female person (a beautiful woman in her 25s) is presenting ass and pussy sideways. her skin is glistening in the sun, as she is lying on a beach lounger. under the large shadow of a sun umbrella she is completely nude, pillow, hand on own ass, spread ass. ass focus. she is looking at the viewer.

her ass is right. her legs are left. beach setting.

Testing:

This lora works pretty reliable (almost no body horror)

prompting lifted leg generations is rather tricky as there is thin data on this set.

Great detail and depiction of vulva and anus.

Prompting help and hints:

a female person is presenting ass and pussy sideways.

her ass in on the left side while her legs are lying on the right side. (or vise versa)

gaping vagina

closed vulva

slit pussy

her hands are away from her buttocks

hairy pussy

legs apart

she is standing sideways next to table. her legs are spread apart wide, while one of her legs is up lying on top of the table (left), as the other leg is standing straight supporting her standing position.

Dataset:

Trained on a total of 135 images

tagged manually in addition to Civitai tags

", + "allowNoCredit": false, + "allowCommercialUse": "{RentCivit}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 4850793, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 915, + "thumbsUpCount": 65, + "thumbsDownCount": 0, + "commentCount": 0, + "tippedAmountCount": 0 + }, + "creator": { + "username": "Adaptalab0r", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/5e1b9ec5-0cbc-4b34-9c7a-4f5b9417e5f7/width=96/Adaptalab0r.jpeg" + }, + "tags": [ + "concept", + "butt", + "anus", + "presenting", + "sideways", + "spread ass", + "on side", + "spreading pussy" + ], + "modelVersions": [ + { + "id": 2828706, + "index": 0, + "name": "Flux.2 Klein 9B-base", + "baseModel": "Flux.2 Klein 9B-base", + "baseModelType": "Standard", + "createdAt": "2026-04-04T01:41:09.258Z", + "publishedAt": 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"width": 2320, + "height": 1584, + "hash": "UGPY*Z_3T}tmEKx]tRH?B;aJn3j[4TkDMdtS", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/a0baa9e2-974b-482b-b4ea-2f9e33dc193e/original=true/126385495.jpeg", + "nsfwLevel": 8, + "width": 2176, + "height": 1696, + "hash": "UFKKHB%iCA+@05o~%iW;TJwHxbJCL#rVNGbx", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2828706" + } + ] +} \ No newline at end of file diff --git a/klein-9b/lora/Pubic Hair Slider & Flux. 2 Klein 9B/extra_data-vid_2732897/122748259.jpeg b/klein-9b/lora/Pubic Hair Slider & Flux. 2 Klein 9B/extra_data-vid_2732897/122748259.jpeg new file mode 100644 index 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"UCEo-|WB00xu~qa|9Foe00of~qRjMxayt7fk", + "type": "image", + "metadata": { + "hash": "UCEo-|WB00xu~qa|9Foe00of~qRjMxayt7fk", + "size": 186063, + "width": 1410, + "height": 1785, + "nsfwLevelReason": "Knights Vote" + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "text" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/Pubic Hair Slider & Flux. 2 Klein 9B/extra_data-vid_2732897/model_dict-mid_2430580-vid_2732897.json b/klein-9b/lora/Pubic Hair Slider & Flux. 2 Klein 9B/extra_data-vid_2732897/model_dict-mid_2430580-vid_2732897.json new file mode 100644 index 0000000000000000000000000000000000000000..44cd58b6986c9ae14ed4e59076bf93fd4a66270a --- /dev/null +++ b/klein-9b/lora/Pubic Hair Slider & Flux. 2 Klein 9B/extra_data-vid_2732897/model_dict-mid_2430580-vid_2732897.json @@ -0,0 +1,160 @@ +{ + "id": 2430580, + "name": "Pubic Hair Slider | Flux. 2 Klein 9B", + "description": "

A Pubic Hair Slider for Flux 2 9B. Adjusts amount of pubic hair, between fully shaved and large area of thick hair. Works well between -1 and +3. Trained on Flux 2 9B Base, works both on Base and Not-Base.

Trained on top of SNOFS, so recommend to use that for best effect.

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit,Rent,Sell}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 11424002, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 1841, + "thumbsUpCount": 82, + "thumbsDownCount": 2, + "commentCount": 4, + "tippedAmountCount": 0 + }, + "creator": { + "username": "NewDiffusor", + "image": null + }, + "tags": [ + "concept", + "pubic hair", + "slider" + ], + "modelVersions": [ + { + "id": 2732897, + "index": 0, + "name": "v1.0", + "baseModel": "Flux.2 Klein 9B", + "baseModelType": "Standard", + "createdAt": "2026-03-01T02:36:08.434Z", + "publishedAt": "2026-03-01T02:37:03.286Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "description": "

same

", + "covered": true, + "stats": { + "downloadCount": 1616, + "thumbsUpCount": 77, + "thumbsDownCount": 1 + }, + "files": [ + { + "id": 2618961, + "sizeKB": 20252.09375, + "name": "pubic_hair_slider_klein_9b_v1_0.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-03-01T02:40:54.241Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "EE2148DD", + "AutoV2": "1B6904862E", + "SHA256": "1B6904862E595BAE811990E03F059EB94B06EC4361C56216C5293BC7B3313B58", + "CRC32": "1EE43BA6", + "BLAKE3": "8D530CC556D189FD126F2F4679D81EE27DCD15D6D88759717F14D490522A927F", + "AutoV3": "0536EB0FEF89" + }, + "downloadUrl": "https://civitai.com/api/download/models/2732897", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/435cc590-2399-4661-8e1b-1a5555855286/original=true/122748259.jpeg", + "nsfwLevel": 1, + "width": 1410, + "height": 1785, + "hash": "UCEo-|WB00xu~qa|9Foe00of~qRjMxayt7fk", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2732897" + }, + { + "id": 2732870, + "index": 1, + "name": "v1.0", + "baseModel": "Flux.2 Klein 9B-base", + "baseModelType": "Standard", + "createdAt": "2026-03-01T02:26:27.578Z", + "publishedAt": "2026-03-01T02:34:33.479Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "covered": true, + "stats": { + "downloadCount": 225, + "thumbsUpCount": 11, + "thumbsDownCount": 1 + }, + "files": [ + { + "id": 2618938, + "sizeKB": 20252.09375, + "name": "pubic_hair_slider_klein_9b_v1_0.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": 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Pokies/extra_data-vid_2871174/model_dict-mid_2462692-vid_2871174.json b/klein-9b/lora/Puffy Nipples and Pokies/extra_data-vid_2871174/model_dict-mid_2462692-vid_2871174.json new file mode 100644 index 0000000000000000000000000000000000000000..cb25d2fc7274eea06ce6796c91759fe45b436666 --- /dev/null +++ b/klein-9b/lora/Puffy Nipples and Pokies/extra_data-vid_2871174/model_dict-mid_2462692-vid_2871174.json @@ -0,0 +1,359 @@ +{ + "id": 2462692, + "name": "Puffy Nipples and Pokies", + "description": "

LoRA for puffy nipples with and without clothing as text-2-image or as image edit.

v2 is updated with bigger and better dataset and includes some ability to fine tune under cloths with \"thin\", \"thick\", \"pokie\"

Works really well on Flux2-base-9b at strength 1.0 but for distilled versions of the model you probably will need to push the strength up to 1.5 or 1.6.

If you want to generate images of nudes you can augment with another LoRA to help support NSFW e.g., NSFW - Flux Klein by Lorian (use it at maybe 0.4-0.5)

use \"puffy nipples\" or \"pokie nipples\" and fine tune with thick or thin

add whatever clothing you want e.g., \"thin puffy nipples under her swimsuit\", \"thick puffy nipples under her nightgown\", \"pokie nipples under her sports bra\", etc

for no-drape / tight fit use: sports bra, bikini, swimsuit, bodysuit, bodycon

for drape/loose fit use: camisole, nightgown, blouse, loose shirt, etc

for dresses the model is pretty good at determining the amount of drape. if you don't want drape just add bodycon e.g., \"puffy nipples under her bodycon dress\"

Feedback welcome and enjoy

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Better data set and better with cloths

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C665592DA5 +SHA256, C665592DA5B8381744AEEEB4B4AD67F95E2E8FBBD667F15B3CCD4EB81C751313 +CRC32, 2025D0EC +BLAKE3, 73352D276B0580CFFA8BC9002631936EC410EE95D766197C3937F12A94505C97 +AutoV3, 6FFFE3045B7B \ No newline at end of file diff --git a/klein-9b/lora/PuffyNipples and Pokies/Flux2-Klein-9b-PuffyNipples-v2_10500-mid_2462692-vid_2768966.safetensors b/klein-9b/lora/PuffyNipples and Pokies/Flux2-Klein-9b-PuffyNipples-v2_10500-mid_2462692-vid_2768966.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..ff0356e8bae71e2b99cc03ec94c496260ffddb53 --- /dev/null +++ b/klein-9b/lora/PuffyNipples and Pokies/Flux2-Klein-9b-PuffyNipples-v2_10500-mid_2462692-vid_2768966.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c665592da5b8381744aeeeb4b4ad67f95e2e8fbbd667f15b3ccd4eb81c751313 +size 165704416 diff --git a/klein-9b/lora/PuffyNipples and Pokies/extra_data-vid_2768966/model_dict-mid_2462692-vid_2768966.json b/klein-9b/lora/PuffyNipples and Pokies/extra_data-vid_2768966/model_dict-mid_2462692-vid_2768966.json new file mode 100644 index 0000000000000000000000000000000000000000..1e427cfd9494f4b394d54c6f847459a7f818d2b3 --- /dev/null +++ b/klein-9b/lora/PuffyNipples and Pokies/extra_data-vid_2768966/model_dict-mid_2462692-vid_2768966.json @@ -0,0 +1,213 @@ +{ + "id": 2462692, + "name": "PuffyNipples and Pokies", + "description": "

LoRA for puffy nipples with and without clothing.

Works well on its own with clothing and as an instruction LoRA.

If you want to generate images of nudes you can augment with another LoRA to help support NSFW e.g., NSFW - FLux Klein by Lorian (use it at maybe 0.4-0.5)

Use \"make her have PuffyNipples\"

add whatever clothing you want e.g., \"make her have PuffyNipples under her swimsuit\" or \"make her have PuffyNipples under her sheer nightgown\"

", + "allowNoCredit": true, + "allowCommercialUse": "{RentCivit,Rent}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 11016201, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 180, + "thumbsUpCount": 17, + "thumbsDownCount": 0, + "commentCount": 0, + "tippedAmountCount": 0 + }, + "creator": { + "username": "trippinondaisies349", + "image": null + }, + "tags": [ + "concept", + "nipples", + "pokies", + "puffy nipples", + "puffies", + "headlights" + ], + "modelVersions": [ + { + "id": 2768966, + "index": 0, + "name": "v1.0", + "baseModel": "Flux.2 Klein 9B", + "baseModelType": "Standard", + "createdAt": "2026-03-13T12:40:40.763Z", + "publishedAt": "2026-03-13T12:50:17.661Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "covered": true, + "stats": { + "downloadCount": 180, + "thumbsUpCount": 17, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2655195, + "sizeKB": 161820.71875, + "name": "Flux2-Klein-9b-PuffyNipples-v2_10500.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-03-13T12:45:37.255Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "DAC7041D", + "AutoV2": "C665592DA5", + "SHA256": "C665592DA5B8381744AEEEB4B4AD67F95E2E8FBBD667F15B3CCD4EB81C751313", + "CRC32": "2025D0EC", + "BLAKE3": "73352D276B0580CFFA8BC9002631936EC410EE95D766197C3937F12A94505C97", + "AutoV3": "6FFFE3045B7B" + }, + "downloadUrl": "https://civitai.com/api/download/models/2768966", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/a02a10c6-0eae-4e2c-9169-eefc80f3f6f0/original=true/124029793.jpeg", + "nsfwLevel": 4, + "width": 1024, + "height": 1024, + "hash": "UGLgwz00Bm~CKh?b%zE00KXS?bxtE1I:xuxu", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/dcf03234-a510-450a-9481-b1f338c25b53/original=true/124029734.jpeg", + "nsfwLevel": 8, + "width": 1024, + "height": 1024, + "hash": "U9LM@aD*JB_N0g8_xuI;00?Gm+4TwG.8?b_2", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/926a01bc-7da5-4cb9-b4ff-e42439975dd3/original=true/124029797.jpeg", + "nsfwLevel": 8, + "width": 1024, + "height": 1024, + "hash": "UMIhHS~pAHR*9Ek9ROoKxvM{?at7D%xuRjM{", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7415bb77-c6b9-4492-a726-6888a0a16ddc/original=true/124029795.jpeg", + "nsfwLevel": 4, + "width": 1024, + "height": 1024, + "hash": "UOIq+LR-?^t7%%WCxuofx^jZxaRj%MR%RiRj", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/8441fba5-9fc8-4f56-af04-d02249d7fb79/original=true/124029796.jpeg", + "nsfwLevel": 4, + "width": 1024, + "height": 1024, + "hash": "UBHd?E57h14o.S^*AcxY0hf8~ANe~AM{D%-p", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/80b57cc8-e4d4-4f31-9413-780eb6c55129/original=true/124029800.jpeg", + "nsfwLevel": 8, + "width": 1024, + "height": 1024, + "hash": "UFMZE#IoG@I:*Ir??bxGNGayIVNG~BNaIUj[", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/e1272347-f411-414f-aa97-5f5f039cb9b8/original=true/124029802.jpeg", + "nsfwLevel": 4, + "width": 1024, + "height": 1024, + "hash": "UFJ*S8~V.S9uIm9Goy%19u%g-o-otRt6VrWA", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/219bf161-b9be-4eeb-a990-104a8d7ab6f6/original=true/124029792.jpeg", + "nsfwLevel": 4, + "width": 1024, + "height": 1024, + "hash": "UEI}Y44Tx[_MiZNy.7R4t,M{$ixukW%2Mybc", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/97117de0-a7c8-4fa6-ac01-e3ac91e60271/original=true/124029798.jpeg", + "nsfwLevel": 4, + "width": 1024, + "height": 1024, + "hash": "UKKT*zVX?v~VE+%MDhWB_NWCIURk_3V@aJkC", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2768966" + } + ] +} \ No newline at end of file diff --git a/klein-9b/lora/Pulling Down&Unbuttoned Denim Shorts [F1D&K9B&Illu&Pony&SDXL]/clothing_shorts_klein9b_v1_ppsf-mid_1286977-vid_2904410.csv b/klein-9b/lora/Pulling Down&Unbuttoned Denim Shorts [F1D&K9B&Illu&Pony&SDXL]/clothing_shorts_klein9b_v1_ppsf-mid_1286977-vid_2904410.csv new file mode 100644 index 0000000000000000000000000000000000000000..e9b5e0c8064a0435dfbdd091eb6ef8a1eff66ce2 --- /dev/null +++ b/klein-9b/lora/Pulling Down&Unbuttoned Denim Shorts [F1D&K9B&Illu&Pony&SDXL]/clothing_shorts_klein9b_v1_ppsf-mid_1286977-vid_2904410.csv @@ -0,0 +1,7 @@ +hash_name, hash_id +AutoV1, B1518E62 +AutoV2, 6E5E04AF71 +SHA256, 6E5E04AF716B6ED1377B5B1D1B5054D26FA97A6A4735E71DBD4132768F07D349 +CRC32, 729E8733 +BLAKE3, F9B0F397E67B1B2162698EC04A75B09339ED8517F25FC8E5452FA3AC5BEA5461 +AutoV3, 9D74C2B65EB3 \ No newline at end of file diff --git a/klein-9b/lora/Pulling Down&Unbuttoned Denim Shorts [F1D&K9B&Illu&Pony&SDXL]/clothing_shorts_klein9b_v1_ppsf-mid_1286977-vid_2904410.safetensors b/klein-9b/lora/Pulling Down&Unbuttoned Denim Shorts [F1D&K9B&Illu&Pony&SDXL]/clothing_shorts_klein9b_v1_ppsf-mid_1286977-vid_2904410.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..aed5ece09e45bcc8158dab0131ac492f71ae0b0d --- /dev/null +++ b/klein-9b/lora/Pulling Down&Unbuttoned Denim Shorts [F1D&K9B&Illu&Pony&SDXL]/clothing_shorts_klein9b_v1_ppsf-mid_1286977-vid_2904410.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6e5e04af716b6ed1377b5b1d1b5054d26fa97a6a4735e71dbd4132768f07d349 +size 82866912 diff --git a/klein-9b/lora/Pulling Down&Unbuttoned Denim Shorts [F1D&K9B&Illu&Pony&SDXL]/extra_data-vid_2904410/model_dict-mid_1286977-vid_2904410.json b/klein-9b/lora/Pulling Down&Unbuttoned Denim Shorts [F1D&K9B&Illu&Pony&SDXL]/extra_data-vid_2904410/model_dict-mid_1286977-vid_2904410.json new file mode 100644 index 0000000000000000000000000000000000000000..3faa9f56e8cbe3243e828a0577698fb5708e43c0 --- /dev/null +++ b/klein-9b/lora/Pulling Down&Unbuttoned Denim Shorts [F1D&K9B&Illu&Pony&SDXL]/extra_data-vid_2904410/model_dict-mid_1286977-vid_2904410.json @@ -0,0 +1,1089 @@ +{ + "id": 1286977, + "name": "Pulling Down/Unbuttoned Denim Shorts [F1D/K9B/Illu/Pony/SDXL]", + "description": "

Women wearing unbuttoned denim shorts and pulling them down or away from their body. The women can be topless or wearing shirts, bikinis, or bras. This model is designed to work with a variety of shorts, including cut-off or distressed denim shorts, buttoned or unbuttoned, and with or without panties underneath. While it can also be used with other types of shorts and some panties, but the effect may not be as well-defined.

This LoRA features a realistic style, leaning more towards amateur photography than professional photography. It generally handles hands well, but for additional detail on nipples or vagina, you can combine this with my other LoRAs such as Realistic Nude, Dark Nipples, or Reclining Nude, After Sex. Note that the buttoned/unbuttoned state of the shorts is not always reliable and may require weighting in the prompt.

  • The Pony version uses semi-narrative prompts (examples below). I am working on a Pony version using WD14 tag captions.

  • The Flux alpha version is a little bit weak and works best with a strength between 1.25 - 1.5.

  • Make sure you use a reasonable CFG value when remixing Flux images, I used 3.5 for most of the gallery but 3.0 - 8.0 should work.

Versions

This release supports Flux, Pony, and SDXL models. The Flux version is mostly compatible with Flex.1 Alpha as well.

All versions have been trained on the same dataset. The Flux and Pony versions work best with short, semi-narrative prompts (examples below). The SDXL version works best with WD14 tags.

This LoRA was trained on 75 photographs of topless and partially-clothed women, all of them wearing or removing some kinds of shorts. Most of them were denim shorts, but some other materials were included for better variety.

This LoRA does not support detailed vaginas by itself, but may be combined with my Realistic Nude, Dark Nipples or Reclining Nude, After Sex LoRAs for more detailed nipples and/or genitals.

Recommended Strength

  • Flux.1 Dev: 1.25 - 1.5 for both model and CLIP strength

  • Flex.1 Alpha: 1.5 for both model and CLIP strength

  • Pony: 0.8 - 0.9 for both model and CLIP strength, can be lower during hires

  • SDXL: 0.9 - 1.0 for both model and CLIP strength

The Flux version is pretty weak and it may be difficult to control the shorts at strengths < 1.0. For this alpha version, I recommend a strength around 1.5.

Example Prompts

Flux/Pony

  • The image is a close-up portrait of a young woman standing on a bed. She is facing the camera with her body slightly turned to the side. Her left arm is bent at the elbow and her right hand is resting on her hip. She has long, wavy hair that is styled in loose waves. The woman is wearing a pair of dark blue denim shorts that are slightly frayed at the bottom. She is taking her shorts off. The shorts have a small belly button piercing. The background is a gray wall with a large, abstract painting hanging on it. The lighting is soft and natural, highlighting the woman's features.

  • The image is a portrait of a young woman standing in front of a concrete wall. She is facing the camera with her body slightly turned to the side. Her long brown hair is styled in loose waves and falls over her shoulders. She has a choker necklace around her neck and is wearing a red and white striped crop top. The woman is also wearing a pair of denim shorts with frayed edges. The shorts are a light blue color and appear to be slightly worn. She is taking her shorts off. The background is a gray concrete wall with a black fireplace. The overall mood of the image is confident and relaxed.

  • The image shows a young woman standing in a dirt field with trees in the background. She is wearing a pink halter top that is tied in a knot at the top, exposing her upper body. She has short blonde hair that is styled in loose waves and is smiling at the camera. The woman is also wearing light blue denim shorts with a pink waistband. The shorts have multiple pockets on the sides and appear to be slightly worn. The ground around her is covered in dirt and there are small rocks scattered around. She is taking her shorts off. She is pulling her pants down.

  • The image is a portrait of a young woman sitting on a white tiled floor in front of a large window. She is wearing a pink and white striped crop top, white shorts, and white socks. Her long brown hair is styled in loose waves and she is looking directly at the camera with a slight smile on her face. Her hands are resting on her knees and her legs are crossed at the ankles. She is taking her shorts off. The background is blurred, but it appears to be an outdoor setting with trees and buildings visible.

  • The image is a portrait of a young woman standing in a field of dry grass. She is completely nude, with her body facing the camera. Her arms are stretched above her head, holding onto a large tree branch. The woman has shoulder-length blonde hair that is styled in loose waves. She has a serious expression on her face and is looking directly at the camera with a slight smile. She is taking her shorts off. The sun is setting in the background, casting a warm glow over the scene. The overall mood of the image is peaceful and serene.

The The image is prefix is not required, but I forgot to remove them before training, so you may get better results if you include that.

The Pony version works best with a score suffix, like score_9, score_8_up, score_7_up.

This LoRA does not use any censored keywords.

SDXL

  • 1girl, solo, long hair, breasts, looking at viewer, smile, brown hair, navel, brown eyes, underwear, nipples, panties, small breasts, shorts, teeth, blurry, flat chest, short shorts, blurry background, topless, denim, freckles, denim shorts, realistic, cutoffs, score_9, score_8_up, score_7_up

  • 1girl, solo, long hair, looking at viewer, smile, brown hair, shirt, navel, brown eyes, underwear, nipples, panties, shorts, teeth, striped, clothes lift, mole, grin, flat chest, torn clothes, shirt lift, piercing, denim, lifted by self, denim shorts, realistic, cutoffs, navel piercing, score_9, score_8_up, score_7_up

  • 1girl, solo, long hair, breasts, looking at viewer, brown hair, navel, underwear, nipples, panties, small breasts, shorts, flat chest, lips, short shorts, topless, piercing, denim, freckles, denim shorts, realistic, cutoffs, navel piercing, score_9, score_8_up, score_7_up

  • 1girl, solo, long hair, breasts, looking at viewer, brown hair, navel, brown eyes, jewelry, underwear, panties, earrings, outdoors, shorts, clothes lift, short shorts, shirt lift, pink panties, watch, hoop earrings, realistic, wristwatch, score_9, score_8_up, score_7_up

  • 1girl, solo, long hair, breasts, looking at viewer, smile, brown hair, navel, brown eyes, underwear, nipples, panties, small breasts, shorts, teeth, blurry, flat chest, short shorts, blurry background, topless, denim, freckles, denim shorts, realistic, cutoffs, score_9, score_8_up, score_7_up

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🔮 Full catalog — 100+ LoRAs for Flux, Illustrious, and more.

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This LoRA works better for INPAINT, but it does a good job on txt2img too. May break anatomy sometimes.

Trigger words (that sometimes Flux does not follow):

  • bush pussy - Shaved pussy/vagina with hair on top / landing strip

  • butterfly pussy - Pussy/vagina with big lips

  • hairy pussy - Hairy pussy/vagina, simple as that

  • shaved pussy - Shaved pussy/vagina, in the style of cameltoe (innie)

  • asian pussy - Dark lips pussy/vagina on a white skin woman

  • pink pussy - Pink delicate pussy/vagina

Adding \"showing her ass from the back\" or something similar to show a rear view may work, as I trained rear view too for every trigger above. I may need to train another one focused on rear view to improve this.

You can combine more than one. Inpainting them to improve the result is a good option.

Use a strenght from 0.7 to 1.5, depending on your scenario. Negative weight put clothes LOL

Flux Klein 4B coming soon!!

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This LoRA works better for INPAINT, but it does a good job on txt2img too. May break anatomy sometimes.

The Innie Shaved lora may not work properly from behind... but it is what it is.

The Piercing lora may lose definition and shape at distance... It's far from perfect.

Types of pussy trained on General: (Not trigger words, but the types of images used to train)

  • bush pussy - Shaved pussy/vagina with hair on top / landing strip

  • pussy with lips that resembles butterfly- Pussy/vagina with big lips

  • hairy pussy - Hairy pussy/vagina, simple as that

  • shaved pussy - Shaved pussy/vagina, in the style of cameltoe (innie)

  • pussy with dark lips - Dark lips pussy/vagina on a white skin woman

  • pink pussy - Pink delicate pussy/vagina

Adding \"showing her ass from the back\" or something similar to show a rear view may work, as I trained rear view too for every trigger above. I may need to train another one focused on rear view to improve this.

You can combine more than one. Inpainting them to improve the result is a good option.

Use a strenght from 0.7 to 1.5, depending on your scenario. Negative weight put clothes LOL

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b/klein-9b/lora/PussyDiffusion - Flux2.Klein/extra_data-vid_2699086/model_dict-mid_2337198-vid_2699086.json new file mode 100644 index 0000000000000000000000000000000000000000..20c799bbbb880f797a40f736a4fa41d862cf3f81 --- /dev/null +++ b/klein-9b/lora/PussyDiffusion - Flux2.Klein/extra_data-vid_2699086/model_dict-mid_2337198-vid_2699086.json @@ -0,0 +1,941 @@ +{ + "id": 2337198, + "name": "PussyDiffusion - Flux2.Klein", + "description": "

This LoRA works better for INPAINT, but it does a good job on txt2img too. May break anatomy sometimes.

The Innie Shaved lora may not work properly from behind... but it is what it is.

The Piercing lora may lose definition and shape at distance... It's far from perfect.

Types of pussy trained on General: (Not trigger words, but the types of images used to train)

  • bush pussy - Shaved pussy/vagina with hair on top / landing strip

  • pussy with lips that resembles butterfly- Pussy/vagina with big lips

  • hairy pussy - Hairy pussy/vagina, simple as that

  • shaved pussy - Shaved pussy/vagina, in the style of cameltoe (innie)

  • pussy with dark lips - Dark lips pussy/vagina on a white skin woman

  • pink pussy - Pink delicate pussy/vagina

Adding \"showing her ass from the back\" or something similar to show a rear view may work, as I trained rear view too for every trigger above. I may need to train another one focused on rear view to improve this.

You can combine more than one. Inpainting them to improve the result is a good option.

Use a strenght from 0.7 to 1.5, depending on your scenario. Negative weight put clothes LOL

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{heart|devil|smiley face|skull|star} tattoo}, jpg quality" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/RLY Emo Slider (2000s Emo&Scene Aesthetic)/extra_data-vid_2923865/129859299.json b/klein-9b/lora/RLY Emo Slider (2000s Emo&Scene Aesthetic)/extra_data-vid_2923865/129859299.json new file mode 100644 index 0000000000000000000000000000000000000000..999971128f0177497ad91e67ad87391aba778fa5 --- /dev/null +++ b/klein-9b/lora/RLY Emo Slider (2000s Emo&Scene Aesthetic)/extra_data-vid_2923865/129859299.json @@ -0,0 +1,26 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/56636de9-0e0a-4b49-b05b-d04b51033974/original=true/129859299.mp4", + "nsfwLevel": 2, + "width": 896, + "height": 1152, + "hash": "UNK1K_Z}In%L~VxXD%oy01xu-;RjNHt8ofWB", + "type": "video", + "metadata": { + "hash": "UNK1K_Z}In%L~VxXD%oy01xu-;RjNHt8ofWB", + "size": 1336281, + 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Aesthetic)/extra_data-vid_2923865/model_dict-mid_2603927-vid_2923865.json @@ -0,0 +1,297 @@ +{ + "id": 2603927, + "name": "RLY Emo Slider (2000s Emo/Scene Aesthetic)", + "description": "

I decided to release this experimental style LoKr that builds on an older dataset (here). I think it's different enough to warrant its own release. Again--just testing things. You get what you get. See below for suggested settings.

Trained on a few hundred hand-selected publicly available images of early-2000s emo/scene style selfies. It combines for the visual style of the photos taken at the time as well as the fashion/hair/jewelry aesthetic.

In comfyui, you load it up just like a LoRA. Set the strength to between 1.0-4.0 to increase the magnitude of the style.

Suggested settings:

  • Important: Strength sweet spot is 2.0-2.5. You can go beyond that up to ~ 4.0, but Klein's poor anatomy starts to creep back in.

  • Use er_sde/sgm_uniform for decent results. ~5 steps. CFG 1 (obviously).

  • No trigger

For prompt, try something like:

Early 2000s style amateur point-and-shoot mirror pic of an emo 23 year old woman in a bedroom, leaning in, ponytail brunette blonde hair, messy eyeliner, grungy short shorts and black low cut crop top punk t-shirt that says \"RLY\", yelling, scrunchie on wrist, bracelets, small devil tattoo, jpg quality

Or, use the wildcard prompt added to the showcase pics with a wildcard text node.

Caveats:

  • Flux anatomy

  • Cameras that'll make you go \"what are those!?\"

  • Mostly selfies, even when unintended

  • Sometimes nsfw

Let me know how it goes for you and maybe I'll build on it. Or delete it. We'll see.

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Detail Slider)/extra_data-vid_2900355/model_dict-mid_2581643-vid_2900355.json b/klein-9b/lora/Real HDR (Level of Color Detail Slider)/extra_data-vid_2900355/model_dict-mid_2581643-vid_2900355.json new file mode 100644 index 0000000000000000000000000000000000000000..f4b126d8ace2a03e617f0add0b1ee4e7af245359 --- /dev/null +++ b/klein-9b/lora/Real HDR (Level of Color Detail Slider)/extra_data-vid_2900355/model_dict-mid_2581643-vid_2900355.json @@ -0,0 +1,161 @@ +{ + "id": 2581643, + "name": "Real HDR (Level of Color Detail Slider)", + "description": "

Real HDR

This training used full raw images (RAW format) converted to 48bit png.

FLUX was then trained on the full range of 65k per channel color normalized to float.

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Try on concept, Decent dataset on various poses, mostly close-up

Works not consistently without finetuned checkpoints or nsfw lora, probably because it's anatomical detail

Lora strength 0.3-1.5 what i tested


No trigger, most prevalent phrase in captioning - Innie Pussy

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Real Skin (Less Synthetic)

  • Trained in TF32

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Should make images look less AI generated.
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Recommend using a detail/quality slider in addition to this.

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Klein can create realistic looking images like ZIT, it just needs a nudge in the right direction.

Use up to strength 6.

V2:
More natural look and improved detail/anatomy/text.

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V3 is good at generating vaginas and has more prompt control.

Only for nudes, no hardcore stuff. It was trained on natural language so trigger word is not required.

Basic Triggers: nude, completely nude, topless, large breasts, medium-sized breasts, shaved pubic area, hairy pubic area, dark nipples, light-colored nipples.

❤️ If you like my models, please support me by sending buzz.⚡

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\"white\", \"image1\": [\"1463:1462\", 0], \"image2\": [\"1457:1008\", 0]}, \"class_type\": \"ImageStitch\", \"_meta\": {\"title\": \"Image Stitch\"}}}, \"workflow\": {\"id\": \"791e2055-38bd-4d89-a91d-0ac3b11ef64b\", \"revision\": 0, \"last_node_id\": 1464, \"last_link_id\": 926, \"nodes\": [{\"id\": 97, \"type\": \"MarkdownNote\", \"pos\": [-750, 830], \"size\": [610, 650], \"flags\": {}, \"order\": 0, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the fp8 model.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. Desktop/Cloud ship stable builds; nightly-supported models may not be included yet, please wait for the next stable release.\\n\\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\\n\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 1463, \"type\": \"7aa6f2f0-5e57-46d0-a9db-a67993af3133\", \"pos\": [903.8192769105603, 1157.6069570580166], \"size\": [210, 122], \"flags\": {}, \"order\": 5, \"mode\": 0, \"inputs\": [{\"label\": \"Control1\", \"name\": \"image1\", \"type\": \"IMAGE\", \"link\": 924}, {\"label\": \"Control2\", \"name\": \"image2\", \"type\": \"IMAGE\", \"link\": 926}, {\"label\": \"Target\", \"name\": \"image2_1\", \"type\": \"IMAGE\", \"link\": 925}], \"outputs\": [{\"name\": \"IMAGE\", \"type\": \"IMAGE\", 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\"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the fp8 model.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. 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[Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the fp8 model.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. 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0000000000000000000000000000000000000000..50995c854d7b25e2ab85e13aeedf938966a87898 --- /dev/null +++ b/klein-9b/lora/Replace Hair Style [Klein 4B & 9B]/extra_data-vid_2847042/model_dict-mid_2533253-vid_2847042.json @@ -0,0 +1,251 @@ +{ + "id": 2533253, + "name": "Replace Hair Style [Klein 4B & 9B]", + "description": "

Allows you to replace the hair style of a person in the first control image with the hair style depicted in the second control image while preserving the hair color of the original image.

The second control image supports both pictures of a person and pictures of wigs.

If the style being copied has a hat or other headwear, this will often be transferred as well, so if you do not want it transferred, I recommend first running it through an Image Edit model with a prompt like \"remove the person's headwear\" then using that output as your Control 2 image.

For best results, use single-subject images and use images with comparable framing. If you are having hair color bleed from Control Image 2 onto the final image, you can suppress this with a short description of what you want, such as \"long blonde twintails.\"

change the hairstyle of the person in Image 1 with the hairstyle shown in Image 2\nchange the hairstyle of the man in Image 1 with the hairstyle shown in Image 2\nchange the hairstyle of the woman in Image 1 with the hairstyle shown in Image 2

California AB 2013 Training Data Disclosure

  • This LoRA was fine-tuned using visual data consisting of a mix between photographs and synthetic still images. The training data may include copyrighted material owned by third parties. No training data was licensed or purchased. This LoRA is provided for non-commercial use only under the terms of its distribution.

  • The dataset consists of over 100 image sets (over 300 images total). This is the total used for training after low quality sets were culled. Dataset was created in 2026. Non-synthetic images were collected from publicly accessible sources in 2026.

  • Image data was processed through standard resizing, cropping, normalization, and labeling steps. Synthetic images were included as part of the training dataset.

  • This model is intended for non-commercial, experimental, and educational use. Generated outputs may reflect copyrighted visual styles or themes associated with the underlying training data. Users are responsible for ensuring compliance with applicable copyright law, other intellectual property laws, and all other applicable laws.

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\"ImageStitch\", \"_meta\": {\"title\": \"Image Stitch\"}}}, \"workflow\": {\"id\": \"e16a7344-eeba-483b-b52c-bf570e9596e5\", \"revision\": 0, \"last_node_id\": 1463, \"last_link_id\": 926, \"nodes\": [{\"id\": 97, \"type\": \"MarkdownNote\", \"pos\": [-750, 830], \"size\": [610, 650], \"flags\": {}, \"order\": 0, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the fp8 model.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. 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\"image1\": [\"1463:1459\", 0], \"image2\": [\"1458\", 0]}, \"class_type\": \"ImageStitch\", \"_meta\": {\"title\": \"Image Stitch\"}}, \"1463:1460\": {\"inputs\": {\"direction\": \"down\", \"match_image_size\": true, \"spacing_width\": 0, \"spacing_color\": \"white\", \"image1\": [\"1463:1462\", 0], \"image2\": [\"1457:1008\", 0]}, \"class_type\": \"ImageStitch\", \"_meta\": {\"title\": \"Image Stitch\"}}}, \"workflow\": {\"id\": \"e16a7344-eeba-483b-b52c-bf570e9596e5\", \"revision\": 0, \"last_node_id\": 1463, \"last_link_id\": 926, \"nodes\": [{\"id\": 97, \"type\": \"MarkdownNote\", \"pos\": [-750, 830], \"size\": [610, 650], \"flags\": {}, \"order\": 0, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the fp8 model.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first 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\"image1\": [\"1463:1459\", 0], \"image2\": [\"1458\", 0]}, \"class_type\": \"ImageStitch\", \"_meta\": {\"title\": \"Image Stitch\"}}, \"1463:1460\": {\"inputs\": {\"direction\": \"down\", \"match_image_size\": true, \"spacing_width\": 0, \"spacing_color\": \"white\", \"image1\": [\"1463:1462\", 0], \"image2\": [\"1457:1008\", 0]}, \"class_type\": \"ImageStitch\", \"_meta\": {\"title\": \"Image Stitch\"}}}, \"workflow\": {\"id\": \"e16a7344-eeba-483b-b52c-bf570e9596e5\", \"revision\": 0, \"last_node_id\": 1463, \"last_link_id\": 926, \"nodes\": [{\"id\": 97, \"type\": \"MarkdownNote\", \"pos\": [-750, 830], \"size\": [610, 650], \"flags\": {}, \"order\": 0, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the fp8 model.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. Desktop/Cloud ship stable builds; nightly-supported models may not be included yet, please wait for the next stable release.\\n\\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\\n\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 1463, \"type\": \"7aa6f2f0-5e57-46d0-a9db-a67993af3133\", \"pos\": [903.8192769105603, 1157.6069570580166], \"size\": [210, 122], \"flags\": {}, \"order\": 5, \"mode\": 0, \"inputs\": [{\"label\": \"Control1\", \"name\": \"image1\", \"type\": \"IMAGE\", \"link\": 924}, {\"label\": \"Control2\", \"name\": \"image2\", \"type\": \"IMAGE\", \"link\": 926}, {\"label\": \"Target\", \"name\": \"image2_1\", \"type\": \"IMAGE\", \"link\": 925}], \"outputs\": [{\"name\": \"IMAGE\", \"type\": \"IMAGE\", 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/dev/null +++ b/klein-9b/lora/Replace Scene [Klein 9B]/extra_data-vid_2829331/model_dict-mid_2517219-vid_2829331.json @@ -0,0 +1,141 @@ +{ + "id": 2517219, + "name": "Replace Scene [Klein 9B]", + "description": "

Allows you to replace the background scene in the first control image with the background scene depicted in the second control image.

This model is capable of reorienting the camera angle shown in the background to match the one in the original image, but for best results, try to have comparable framing & camera angle.

replace the background in Image 1 with the scene in Image 2

Model Comparisons:

  • Copy Pose will preserve the subject and background in Control 1, while bringing the framing/pose of Control 2

  • Replace Subject will preserve the framing/pose and background in Control 1, while bringing the subject of Control 2

  • Replace Scene will preserve the subject and pose in Control 1, while bringing the background scene of Control 2

California AB 2013 Training Data Disclosure

  • This LoRA was fine-tuned using visual data consisting entirely of synthetic still images. The training data may include copyrighted material owned by third parties. No training data was licensed or purchased. This LoRA is provided for non-commercial use only under the terms of its distribution.

  • The dataset consists of over 100 image sets (over 300 images total). This is the total used for training after low quality sets were culled. Dataset was created in 2026.

  • Image data was processed through standard resizing, cropping, normalization, and labeling steps. Synthetic images were included as part of the training dataset.

  • This model is intended for non-commercial, experimental, and educational use. Generated outputs may reflect copyrighted visual styles or themes associated with the underlying training data. Users are responsible for ensuring compliance with applicable copyright law, other intellectual property laws, and all other applicable laws.

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models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. Desktop/Cloud ship stable builds; nightly-supported models may not be included yet, please wait for the next stable release.\\n\\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\\n\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 9, \"type\": \"SaveImage\", \"pos\": [773.795753390038, 485.7839932496069], \"size\": [416.6666666666667, 470], \"flags\": {}, \"order\": 4, \"mode\": 0, \"inputs\": [{\"name\": \"images\", \"type\": \"IMAGE\", \"link\": 911}], \"outputs\": [], \"properties\": {\"Node name for S&R\": \"SaveImage\", \"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, 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{\"inputs\": {\"direction\": \"right\", \"match_image_size\": true, \"spacing_width\": 0, \"spacing_color\": \"white\", \"image1\": [\"1463:1459\", 0], \"image2\": [\"1458\", 0]}, \"class_type\": \"ImageStitch\", \"_meta\": {\"title\": \"Image Stitch\"}}, \"1463:1460\": {\"inputs\": {\"direction\": \"down\", \"match_image_size\": true, \"spacing_width\": 0, \"spacing_color\": \"white\", \"image1\": [\"1463:1462\", 0], \"image2\": [\"1457:1008\", 0]}, \"class_type\": \"ImageStitch\", \"_meta\": {\"title\": \"Image Stitch\"}}}, \"workflow\": {\"id\": \"97b48178-c57f-49b0-b3e5-50d8550cc189\", \"revision\": 0, \"last_node_id\": 1463, \"last_link_id\": 926, \"nodes\": [{\"id\": 97, \"type\": \"MarkdownNote\", \"pos\": [-750, 830], \"size\": [610, 650], \"flags\": {}, \"order\": 0, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the fp8 model.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. Desktop/Cloud ship stable builds; nightly-supported models may not be included yet, please wait for the next stable release.\\n\\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\\n\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 9, \"type\": \"SaveImage\", \"pos\": [773.795753390038, 485.7839932496069], \"size\": [416.6666666666667, 470], \"flags\": {}, \"order\": 4, \"mode\": 0, \"inputs\": [{\"name\": \"images\", \"type\": \"IMAGE\", \"link\": 911}], \"outputs\": [], \"properties\": {\"Node name for S&R\": \"SaveImage\", \"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, 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{\"inputs\": {\"direction\": \"right\", \"match_image_size\": true, \"spacing_width\": 0, \"spacing_color\": \"white\", \"image1\": [\"1463:1459\", 0], \"image2\": [\"1458\", 0]}, \"class_type\": \"ImageStitch\", \"_meta\": {\"title\": \"Image Stitch\"}}, \"1463:1460\": {\"inputs\": {\"direction\": \"down\", \"match_image_size\": true, \"spacing_width\": 0, \"spacing_color\": \"white\", \"image1\": [\"1463:1462\", 0], \"image2\": [\"1457:1008\", 0]}, \"class_type\": \"ImageStitch\", \"_meta\": {\"title\": \"Image Stitch\"}}}, \"workflow\": {\"id\": \"97b48178-c57f-49b0-b3e5-50d8550cc189\", \"revision\": 0, \"last_node_id\": 1463, \"last_link_id\": 926, \"nodes\": [{\"id\": 97, \"type\": \"MarkdownNote\", \"pos\": [-750, 830], \"size\": [610, 650], \"flags\": {}, \"order\": 0, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the fp8 model.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. Desktop/Cloud ship stable builds; nightly-supported models may not be included yet, please wait for the next stable release.\\n\\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\\n\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 9, \"type\": \"SaveImage\", \"pos\": [773.795753390038, 485.7839932496069], \"size\": [416.6666666666667, 470], \"flags\": {}, \"order\": 4, \"mode\": 0, \"inputs\": [{\"name\": \"images\", \"type\": \"IMAGE\", \"link\": 911}], \"outputs\": [], \"properties\": {\"Node name for S&R\": \"SaveImage\", \"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, 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Allows you to replace a subject in the first control image with a subject in the second control image.

The model will skew towards preserving existing details if the secondary control image does not include the relevant details and the prompt leaves them unspecified. For example, if you are using a head/torso image as the new subject, but the original image was zoomed out more and the person being replaced has jeans, the new person will also be wearing jeans unless you specify otherwise.

For best results, try to have comparable framing, camera angle, and number of subjects in both images.

replace the person in Image 1 with the person in Image 2\nreplace the man in Image 1 with the man in Image 2\nreplace the woman in Image 1 with the woman in Image 2

Model Comparisons:

  • Copy Pose will preserve the subject and background in Control 1, while bringing the framing/pose of Control 2

  • Replace Subject will preserve the framing/pose and background in Control 1, while bringing the subject of Control 2

  • Replace Scene will preserve the subject and pose in Control 1, while bringing the background scene of Control 2

California AB 2013 Training Data Disclosure

  • This LoRA was fine-tuned using visual data consisting entirely of synthetic still images. The training data may include copyrighted material owned by third parties. No training data was licensed or purchased. This LoRA is provided for non-commercial use only under the terms of its distribution.

  • The dataset consists of over 100 image sets (over 300 images total). This is the total used for training after low quality sets were culled. Dataset was created in 2026.

  • Image data was processed through standard resizing, cropping, normalization, and labeling steps. Synthetic images were included as part of the training dataset.

  • This model is intended for non-commercial, experimental, and educational use. Generated outputs may reflect copyrighted visual styles or themes associated with the underlying training data. Users are responsible for ensuring compliance with applicable copyright law, other intellectual property laws, and all other applicable laws.

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The King and the Mockingbird (Le Roi et l'Oiseau) is a french animated movie released in 1980.
\"The film is today regarded as a masterpiece of French animation and has been cited by the Japanese directors Hayao Miyazaki and Isao Takahata as an influence.\"

Klein 9B

Showcase images :

  • Distilled model

  • 768x1152

  • Euler / normal / 4 steps / CFG 1

  • Lora strength of 1 - 1.5

  • When upscaled : x1.5 - Hi-res 4 steps - 0.35

Qwen2512

It was trained on 2512, but I prefer to use the original Qwen-Image model for inference.

Showcase images :

  • Original Qwen-Image (BF16)

  • Lightning lora

  • 5 steps / 1 CFG

  • DDIM & Beta

  • Lora strength 0.8-1

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I lied a little: it’s not pure VHS – the Sony ProMavica MVC-5000 is a still-video camera that saves single video frames to floppy disks.

Yep, it’s another VHS-flavored LoRA—but this isn’t the washed-out 2000s Analog Core you’ve seen a hundred times. Think ProMavica after a spa day: cleaner grain, moodier contrast, and even the occasional surprisingly pretty bokeh. Sometimes the renders feel like raw frames yanked straight out of a mid-’90s TV drama. Either way, the vibe is crisp-but-crunchy cinema, not filmed-on-a-toaster.

Why bother?

• More cinematic shadows & color depth—perfect for moody hallways, subway grime, or burning-hillside beach scenes (see samples).

• Plays nice with portraits: faces stay sharp, and hands come out spookily perfect 90 % of the time.

• Still keeps that sweet lo-fi noise, chroma wiggle, and subtle smear, so nothing ever feels too modern.

All examples generated with my ultrareal fine-tune

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users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8)\\n- [flux-2-klein-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the models.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u251c\\u2500\\u2500 flux-2-klein-9b-fp8.safetensors\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 flux-2-klein-base-9b-fp8.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. Desktop/Cloud ship stable builds; nightly-supported models may not be included yet, please wait for the next stable release.\\n\\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\\n\\n\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 83, \"type\": \"MarkdownNote\", \"pos\": [480, 200], \"size\": [210, 88], \"flags\": {}, \"order\": 1, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"title\": \"Note\", \"properties\": {}, \"widgets_values\": [\"Click on the top-right corner of the node to open the [subgraph](https://docs.comfy.org/interface/features/subgraph) \\n\\ud83d\\udc47\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 75, \"type\": \"7b34ab90-36f9-45ba-a665-71d418f0df18\", \"pos\": [300.33338346244335, 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\"_meta\": {\"title\": \"Load VAE\"}}, \"77:63\": {\"inputs\": {\"cfg\": 1.0, \"model\": [\"77:78\", 0], \"positive\": [\"77:74\", 0], \"negative\": [\"77:76\", 0]}, \"class_type\": \"CFGGuider\", \"_meta\": {\"title\": \"CFGGuider\"}}, \"77:76\": {\"inputs\": {\"conditioning\": [\"77:74\", 0]}, \"class_type\": \"ConditioningZeroOut\", \"_meta\": {\"title\": \"ConditioningZeroOut\"}}, \"77:77\": {\"inputs\": {\"unet_name\": \"flux-2-klein-9b-Q8_0.gguf\"}, \"class_type\": \"UnetLoaderGGUF\", \"_meta\": {\"title\": \"Unet Loader (GGUF)\"}}, \"77:74\": {\"inputs\": {\"text\": [\"76\", 0], \"clip\": [\"77:78\", 1]}, \"class_type\": \"CLIPTextEncode\", \"_meta\": {\"title\": \"CLIP Text Encode (Positive Prompt)\"}}, \"77:78\": {\"inputs\": {\"lora_name\": \"robloxchibidoll_lora_klein9b.safetensors\", \"strength_model\": 0.9, \"strength_clip\": 0.95, \"model\": [\"77:77\", 0], \"clip\": [\"77:71\", 0]}, \"class_type\": \"LoraLoader\", \"_meta\": {\"title\": \"Load LoRA\"}}, \"77:62\": {\"inputs\": {\"steps\": 8, \"width\": [\"77:68\", 0], \"height\": [\"77:69\", 0]}, \"class_type\": \"Flux2Scheduler\", \"_meta\": {\"title\": \"Flux2Scheduler\"}}}, \"workflow\": {\"id\": \"92112d97-bb64-4b44-86f2-ea5691ef8f6e\", \"revision\": 0, \"last_node_id\": 83, \"last_link_id\": 159, \"nodes\": [{\"id\": 79, \"type\": \"MarkdownNote\", \"pos\": [-710, 340], \"size\": [550, 530], \"flags\": {}, \"order\": 0, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8)\\n- [flux-2-klein-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the models.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u251c\\u2500\\u2500 flux-2-klein-9b-fp8.safetensors\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 flux-2-klein-base-9b-fp8.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. Desktop/Cloud ship stable builds; nightly-supported models may not be included yet, please wait for the next stable release.\\n\\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\\n\\n\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 83, \"type\": \"MarkdownNote\", \"pos\": [480, 200], \"size\": [210, 88], \"flags\": {}, \"order\": 1, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"title\": \"Note\", \"properties\": {}, \"widgets_values\": [\"Click on the top-right corner of the node to open the [subgraph](https://docs.comfy.org/interface/features/subgraph) \\n\\ud83d\\udc47\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 75, \"type\": \"7b34ab90-36f9-45ba-a665-71d418f0df18\", \"pos\": [300.33338346244335, 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\"class_type\": \"VAELoader\", \"_meta\": {\"title\": \"Load VAE\"}}, \"77:63\": {\"inputs\": {\"cfg\": 1.0, \"model\": [\"77:78\", 0], \"positive\": [\"77:74\", 0], \"negative\": [\"77:76\", 0]}, \"class_type\": \"CFGGuider\", \"_meta\": {\"title\": \"CFGGuider\"}}, \"77:76\": {\"inputs\": {\"conditioning\": [\"77:74\", 0]}, \"class_type\": \"ConditioningZeroOut\", \"_meta\": {\"title\": \"ConditioningZeroOut\"}}, \"77:62\": {\"inputs\": {\"steps\": 4, \"width\": [\"77:68\", 0], \"height\": [\"77:69\", 0]}, \"class_type\": \"Flux2Scheduler\", \"_meta\": {\"title\": \"Flux2Scheduler\"}}, \"77:77\": {\"inputs\": {\"unet_name\": \"flux-2-klein-9b-Q8_0.gguf\"}, \"class_type\": \"UnetLoaderGGUF\", \"_meta\": {\"title\": \"Unet Loader (GGUF)\"}}, \"77:74\": {\"inputs\": {\"text\": [\"76\", 0], \"clip\": [\"77:78\", 1]}, \"class_type\": \"CLIPTextEncode\", \"_meta\": {\"title\": \"CLIP Text Encode (Positive Prompt)\"}}, \"77:78\": {\"inputs\": {\"lora_name\": \"robloxchibidoll_lora_klein9b.safetensors\", \"strength_model\": 0.86, \"strength_clip\": 0.86, \"model\": [\"77:77\", 0], \"clip\": [\"77:71\", 0]}, \"class_type\": \"LoraLoader\", \"_meta\": {\"title\": \"Load LoRA\"}}}, \"workflow\": {\"id\": \"92112d97-bb64-4b44-86f2-ea5691ef8f6e\", \"revision\": 0, \"last_node_id\": 83, \"last_link_id\": 159, \"nodes\": [{\"id\": 79, \"type\": \"MarkdownNote\", \"pos\": [-710, 340], \"size\": [550, 530], \"flags\": {}, \"order\": 0, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8)\\n- [flux-2-klein-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the models.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u251c\\u2500\\u2500 flux-2-klein-9b-fp8.safetensors\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 flux-2-klein-base-9b-fp8.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. Desktop/Cloud ship stable builds; nightly-supported models may not be included yet, please wait for the next stable release.\\n\\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\\n\\n\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 83, \"type\": \"MarkdownNote\", \"pos\": [480, 200], \"size\": [210, 88], \"flags\": {}, \"order\": 1, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"title\": \"Note\", \"properties\": {}, \"widgets_values\": [\"Click on the top-right corner of the node to open the [subgraph](https://docs.comfy.org/interface/features/subgraph) \\n\\ud83d\\udc47\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 75, \"type\": \"7b34ab90-36f9-45ba-a665-71d418f0df18\", \"pos\": [300.33338346244335, 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funni and cute bundle by EggEggo on Roblox

--FOR PONY VER--

recommended Prompt: 3d, chibi, roblox, solid cirle eyes, no mouth, blush

If you want the image to not look pixelated, neg: (pixelated,jpeg:1.4)

recommended weights maybe: 0.8 - 1.1

--FOR ILLUSTRIOUS VER--

recommended Prompt: 3d, solid cirle eyes, no mouth, chibi, blush
OPTIONAL: [half-closed eyes]

recommended weights: 1 - 1.3

--FOR KLEIN 4B VER--

uihhhh i guess just 3d, chibi, no mouth, noseless ???

also you can use editing on it

--FOR KLEIN 9B VER--

probably the same as 4B, but no mouth and noseless are optional
recommended weights: 0.95 - 0.7

this model is overfitted

im surprised this came out good, have fun trying it

01/02/2026 - Klein 9B Version Release

Huuh?? I'm that quick at releasing shii?? this is another experiment on fluh 2 Klein 9B!! The twist is that it's overfit, so you could generate body horror by accident and have it not following the reference image (unless you prompt it).. The style is great too but you should play with lower weights so good luck playing with it

31/01/2026 - Klein 4B Version Release

My first Lora trained and published in this year, and it is on Klein 4B!! It's just on 2200 steps so that might be not enough but it's overfitting the background.. also i only used the old captions. too bad it may not produce \"chibi\"ish result, but editing works too

02/02/2025 - Updated Illustrious Version RELEASE

Trained on more 50 epochs from the last version (v0.1-beta), and it looks almost identical to what PonyXL version did! Not only that, It's much improved on NoobAIXL models! And that's why I set the version to full release due to result this good..
I couldn't see pixelization, but it leans more to the Roblox model quality

14/01/2025 - Illustrious Version Beta

This, is the first try of Illustrious training.. Well you see it worked than NoobAIXL training before, but it's not better than the PonyXL version of it. Trying the LoRA on NoobAIXL won't do any good!! Don't expect any good from it, it pretty much has a bit of artifacting.

28/12/2024 - THE TRAINING HAS FAILED FOR NOOBAI XL. :(

After countless of attempts on training NoobAIXL, whether be epsilon or v-pred, unfortunately it doesn't came out the same as PonyXL :((
There will be no beloved NoobAIXL version for this LoRA, nothing is working now. Only what I succeeded with is the Mermonkey LoRA, but for this one, it was so hard with the style working on NoobAI. So no hope, but if anyone can help me, please DM me!!

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Another experiment which is on Klein 9B and the style looks more great, but the problem is that it is OVERFITTING... so folks, try lowering your weights so maybe there won't be any body horror

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My first Klein 4B lora!! While I just used the same datasets with the old captions, it is decently working, even though it was at 2200 steps. Unfortunately it's not enough to make people look \"chibi\", but it's overfitting the backgrounds though.. The Lora is only tested at 1 strength so have fun doing things with klein editing

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The model has gotten better after more 50 epochs from the last 20 epochs Illustrious lora, so I'll tag this as full release, no beta anymore

Good news is, it fully supports NOOBAIXL!! (both eps and v-pred, in this case.)

Chibi tag is now not stronger anymore, so ill include it. But if I want taller characters, I don't include it.

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Huggingface for lost Loras: https://huggingface.co/quadratrund

Flux 2.0 Klein 9B:


It works a bit too well... Strength starts at 0.3 to 0.8. So low strength can by enough!
Trigger: ru1ned,
Prompting: she has runny makeup.

Using \"smeared makeup, or ruined makeup\", it becomes extremely messy. You can try if you like it.

Updates on V2.0:

Way more versatile! V1. Had many trainings pics from real NSFW scenes. Issue here was:

Always mouth open, Penis in frame or next to face, only facial close-ups, just the perspective of directly looking into the camera. Or always choking on some penis…

This Version doesn’t add cum or anything. It is purely reduced to the makeup. You have to prompt the other stuff you want!

For V2 I created a totally new base of training pics. First I created a bunch of pics with woman in literally every pose, shot etc: (side, close-up, full body, cowboy shit, 3/4 shot, from below, dutch angle… etc.).

Then I chose around 150+ of them and manually added with inpaint the ruined makeup with my V1 as helper. 

What you get now is the possibility to create hopefully unbiased pics with this new version. You can prompt sex acts and it won’t force facial views.

It should not force a specific outfit, any Dicks or cum if you don’t prompt it. It should not also force close-up or portraits anymore, you should be able to prompt any pose. Obviously it will force a pic with visible eyes or else you won’t get the make-up combination.

Strength: 0.5 -1.0 (the higher the stronger the focus on the face)

Triggerwords: ru1ned_makeup, ruined makeup

Attention:

Words like: \"runny makeup, runny mascara, ruined mascara\" will work too. But i recognized that the more you add them, the more focus will be on fae close-ups.

V 1.0

Somehow SDXL has a hard time to create ruined makeup.. don't know why. Other loras are out there but it seems to me, that the effect is to little or the trainingsdata was too... wel... softcore :D

So here it is for you to go wild.
It will work perfectly on portrait, clsoe-ups, oral sex, after, cumshots... etc. Regarding I used 100+ pics to train but it will probably always force facial view. maybe with reducing strength you can create stuff like doggystyle...

Strength: 0.5 is enough
Triggerword: ru1ned_makeup, (already works on its own)

to enhance further: ruined makeup, runny makeup, ruined mascara, runny mascara,

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More versatile, less forced open mouth, dicks, chokers or face close-ups.

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Amateurish candid photo in motion, footprints on sand" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git "a/klein-9b/lora/SamsungCam\342\200\257UltraReal/extra_data-vid_2777498/model_dict-mid_1551668-vid_2777498.json" "b/klein-9b/lora/SamsungCam\342\200\257UltraReal/extra_data-vid_2777498/model_dict-mid_1551668-vid_2777498.json" new file mode 100644 index 0000000000000000000000000000000000000000..db26bdc3b9d10130b8aba51a89a54ab92784d6ca --- /dev/null +++ "b/klein-9b/lora/SamsungCam\342\200\257UltraReal/extra_data-vid_2777498/model_dict-mid_1551668-vid_2777498.json" @@ -0,0 +1,1016 @@ +{ + "id": 1551668, + "name": "SamsungCam UltraReal", + "description": "

--Qwen2512
Trained with the best my technique. Best use with NiceGirls lora (if u need better female). Also works good with other loras + works good with some nsfw loras

--Qwen
I have prepared a version for Qwen. It looks quite promising; however, work on its enhancement is still ongoing. Examples with girls i generated with my lora NiceGirls

P.S: yeah, I changed epoch in models manager, cause 7k steps gave overtrained result, and in process of testing I understood that 3k is enough


🗺️ Backstory

Lately I kept getting DMs like “When will you drop an iPhone‑style LoRA?” Problem: iPhone LoRA already lives on Civitai—and, well, I shoot on Samsung. SamsungCam UltraReal captures the S‑series look you can’t fake with generic “phone” prompts

After some tests i noticed that the best to use with UltraReal Fine-tune or UltraReal Abliterated with 60 steps (yeah, so much steps gives pretty good details, also text usually looks much better).
Use 0.7-1.0 weight (depends on artifacts in scene)

🎨 What it brings

  • Vivid, high‑contrast colors

  • Smartphone softness – just enough in‑camera smoothing to feel “real phone,” not plastic CGI.

  • Highlight‑happy HDR – clipped whites around street lamps for that over‑exposed‑yet‑cinematic pop.

  • Less bokeh, more context

🤝 NSFWloras-friendly
Tested with NippleDiffusion and MysticXXX (For some reasons is not visible in Suggested Resources)

You can try to generate in 2MP for more realism and details, but be ready that in some scenes hands will be broken. But still looks very good imo in usual 1MP.
In most scenes removes blurred background (sometimes it could be still blurred). Also improves details a lot even on default flux.dev (cause mostly i train all loras for my ultrareal fine-tune checkpoint

P.S: yeah, first version is slightly overtrained, but i glad with a result. v2.0 already WIP

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Nudes, Other Fun Stuff (SNOFS)/extra_data-vid_2653561/model_dict-mid_1972981-vid_2653561.json new file mode 100644 index 0000000000000000000000000000000000000000..19aa5e4f6b3ca39b0c47e802e7a77af14d616507 --- /dev/null +++ b/klein-9b/lora/Sex, Nudes, Other Fun Stuff (SNOFS)/extra_data-vid_2653561/model_dict-mid_1972981-vid_2653561.json @@ -0,0 +1,1592 @@ +{ + "id": 1972981, + "name": "Sex, Nudes, Other Fun Stuff (SNOFS)", + "description": "

Flux 2 Klein 9b V1:

Flux 2 Klein's awesome VAE means it picks up fine details incredibly well. While it still needs more training, I have some other stuff to train in the meantime so I thought it was worth it to push this out now as it can do some things incredibly well. Expect some body horror, especially if you use it with the distilled version of the model. I found that perhaps using more steps than 4 was helpful with the distilled version, but I also didn't try it much.

Training details (skip to the version 1.3 details below if you just want to know what this model can at least somewhat do right now):

I trained this as a factor 4 lokr using AI Toolkit this time. I used AI-Toolkit because when I started the training the other options had issues with their lycoris output and ComfyUI. The training parameters aren't really explained anywhere in detail as they're simplified. While that can make things easy for people unfamiliar with training I found myself going through the code way too much to figure out things like the timestep parameters.

I think my starting learning rate was way too high at 1e-4 with an effective batch size of 4-6 or so. I quickly decreased it but it was perhaps still too high starting at 5e-5. I'm running a different training run at 1e-6 right now and it's still learning quite quickly. I might try to further train this at a very low LR and see what happens instead of starting fresh. Note: this is probably largely because of my large lokr size. I wanted to ensure I had \"room\" for all of the concepts but it can make things spicy.

I think the main issue people are coming into with training both this and Z-Image are what timesteps you train on. This was mostly trained on a high shift value of 3-5 as in inference Flux 2 Klein stays above the 800 timestep mark for most of the generation and maybe does 1 step out of 50 at below 200. I found I needed to test as I went and see where the generations went wrong and try to adjust on the fly.

Version 1.3:

Further training to further refine things. This might be the last version; I wasn't really making this for myself and I'm guessing the community wants me to make something for Z-Image. I'll at least try that out once the base model is out. Here's a list of some of the terms that work well:

  • anus

  • blowjob

  • deepthroat

  • braless

  • cowgirl position

  • cum

  • cunnilingus (be specific and maybe put kissing in the negative prompt)

  • deepthroat

  • dildo

  • doggystyle position

  • fingering

  • hand in panties

  • handjob

  • hitachi magic wand

  • implied blowjob

  • ipcam / nightvision ipcam

  • masturbating (might want to put penis in negative prompt, or specify what she's rubbing for women)

  • massage

  • missionary position

  • naked, nude, etc.

  • penis

  • pregnant (and can specify trimester)

  • prone position

  • reverse cowgirl position

  • sex

  • sheer

  • snapchat (and caption/text/etc)

  • selfie (and mirror selfie)

  • spooning position

  • strap-on dildo

  • tentacles

  • licking testicles

  • undressing

  • vagina

  • wet shirt

Note that the list is not exhaustive at all. It was trained on natural language (and that's how you should prompt!), so many concepts are in there.

Version 1.2:

Further training, expanded the dataset even more.

Also, I see a lot of people mixing this with other NSFW general loras. I'd recommend you try it by itself first.

Note: While you can use the lightning lora with this, keep in mind it won't lead to the best results. It's great for testing prompts, but it tends to mess with anatomy, smooth out texture, and lead to less variation on the same prompt.

Version 1:

This past weekend I was gone. I decided to let my 5090 chug along making a lokr for Qwen on ~5,000 hand fixed captions on sex, nudes, and other fun stuff of hand picked images with hand removed watermarks. I wasn't expecting it to get so good so quickly, so I did a few more night's worth of training. I'll do some additional training at some point here but it's already good enough to play around with.

It can do basic sex positions, blowjobs, cum, selfies, dildos, snapchat selfies with captions, etc. Female genitals are still a bit hit and miss, male genitals aren't bad. With it being a lokr and it being trained on so many images it's wildly flexible and can be used with perfect likeness of other loras.

Note that sometimes it'll do the wrong sex position even if you name it, and I'm unsure why as the captions have no errors. It will perhaps clear up a bit with more training.

I used Musubi Tuner and it was a heck of time getting it to train a lokr. I had to use another lycoris library for it (which is somewhere in the issues on the github page, IIRC), but it's possible the main one has Qwen support by now. Here are my training settings, though note that I reduced my LR over time and I also started with sigmoid timestep sampling. I was training at 640x640 and 1328x1328 buckets:

accelerate launch --num_cpu_threads_per_process 1 --mixed_precision bf16 src\\musubi_tuner\\qwen_image_train_network.py `

--dit Q:\\AI\\Models\\DiffusionModels\\qwen_image_bf16.safetensors `

--vae Q:\\AI\\Models\\VAE\\qwen_vae_for_training.safetensors `

--text_encoder Q:\\AI\\Models\\CLIP\\qwen_2.5_vl_7b.safetensors `

--dataset_config S:\\AI\\Musubi\\datasetWoman.toml `

--sdpa --mixed_precision bf16 `

--gradient_accumulation_steps 4 `

--timestep_sampling qinglong_qwen `

--optimizer_type adamw8bit `

--learning_rate 3e-4 --lr_scheduler linear --lr_scheduler_min_lr_ratio=1e-5 --lr_warmup_steps 150 `

--blocks_to_swap 25 `

--gradient_checkpointing --gradient_checkpointing_cpu_offload --max_data_loader_n_workers 2 --persistent_data_loader_workers `

--network_module lycoris.kohya `

--network_args \"algo=lokr\" \"factor=10\" \"bypass_mode=False\" \"use_fnmatch=True\" \"target_module=Linear\" `

\"target_name=unet.transformer_blocks.*.attn.to_q\" `

\"target_name=unet.transformer_blocks.*.attn.to_k\" `

\"target_name=unet.transformer_blocks.*.attn.to_v\" `

\"target_name=unet.transformer_blocks.*.attn.to_out.0\" `

\"target_name=unet.transformer_blocks.*.attn.add_q_proj\" `

\"target_name=unet.transformer_blocks.*.attn.add_k_proj\" `

\"target_name=unet.transformer_blocks.*.attn.add_v_proj\" `

\"target_name=unet.transformer_blocks.*.attn.to_add_out\" `

\"target_name=unet.transformer_blocks.*.img_mlp.net.0.proj\" `

\"target_name=unet.transformer_blocks.*.img_mlp.net.2\" `

--network_dim 1000000000 `

--save_every_n_steps 250 --max_train_epochs 10--logging_dir=logs `

--output_dir Q:/AI/Models/Trained/Loras/Musubi/QwenWoman --output_name WomanGirls

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Initial Klein version

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General Information:

SNOFS was trained on natural language, not tags. It will work best if you use full sentences to describe what you want.

Want to support my work or help fund the training of this dataset on other models? Join the Patreon in my profile, and if you do - thank you!

Not using ComfyUI/your inference software doesn't support lokr? I've put up a merged version here: https://civitai.com/models/2416142?modelVersionId=2716480

By the way, if anyone out there needs an expert in fine tuning text-to-image models (especially one that's also a software engineer), reach out to me. I'm currently looking for employment.

Here's a list of some of the terms that work well:

  • anus

  • blowjob

  • deepthroat

  • braless

  • cowgirl position

  • cum

  • cunnilingus (be specific and maybe put kissing in the negative prompt)

  • deepthroat

  • dildo

  • doggystyle position

  • fingering

  • hand in panties

  • handjob

  • hitachi magic wand

  • implied blowjob

  • ipcam / nightvision ipcam

  • masturbating (might want to put penis in negative prompt, or specify what she's rubbing for women)

  • massage

  • missionary position

  • naked, nude, etc.

  • penis

  • pregnant (and can specify trimester)

  • prone position

  • reverse cowgirl position

  • sex

  • sheer

  • snapchat (and caption/text/etc)

  • selfie (and mirror selfie)

  • spooning position

  • strap-on dildo

  • tentacles

  • licking testicles

  • undressing

  • vagina

  • wet shirt

Depending on the version, the following might kind of work:

  • anal sex

  • anilingus

These models are under the following license:

https://huggingface.co/Ashen3/SNOFS

Flux 2 Klein 9b V1.1:

Additional training means far less body horror, even on the distilled version (but, you know, still some there). When using the distilled version of the model try playing around with more steps, adding a little cfg, etc.

Flux 2 Klein 9b V1:

Flux 2 Klein's awesome VAE means it picks up fine details incredibly well. While it still needs more training, I have some other stuff to train in the meantime so I thought it was worth it to push this out now as it can do some things incredibly well. Expect some body horror, especially if you use it with the distilled version of the model for text-to-image. I found that perhaps using more steps than 4 was helpful with the distilled version, but I also didn't try it much. Using this with the base model has far less anatomy issues. I expect them both to improve further with more training.

Right now, for text-to-image I recommend the base model. For editing, I recommend the distilled model. Note that SNOFS wasn't specifically trained on any image pairs for editing.

Training details (skip to the version 1.3 details below if you just want to know what this model can at least somewhat do right now):

I trained this as a factor 4 lokr using AI Toolkit this time. I used AI-Toolkit because when I started the training the other options had issues with their lycoris output and ComfyUI.

I think my starting learning rate was way too high at 1e-4 with an effective batch size of 4-6 or so. I quickly decreased it but it was perhaps still too high starting at 5e-5. I'm running a different training run at 1e-5 right now and it's still learning quite quickly. I might try to further train this at a very low LR and see what happens instead of starting fresh. Note: this is probably largely because of my large lokr size. I wanted to ensure I had \"room\" for all of the concepts but it can make things spicy.

I think the main issue people are coming into with training both this and Z-Image are what timesteps you train on. This was mostly trained on a high shift value of 3-5 as in inference Flux 2 Klein stays above the 800 timestep mark for most of the generation and maybe does 1 step out of 50 at below 200. I found I needed to test as I went and see where the generations went wrong and try to adjust on the fly.

Version 1.3:

Further training to further refine things. This might be the last version; I wasn't really making this for myself and I'm guessing the community wants me to make something for Z-Image. I'll at least try that out once the base model is out.

Note that the list is not exhaustive at all. It was trained on natural language (and that's how you should prompt!), so many concepts are in there.

Version 1.2:

Further training, expanded the dataset even more.

Also, I see a lot of people mixing this with other NSFW general loras. I'd recommend you try it by itself first.

Note: While you can use the lightning lora with this, keep in mind it won't lead to the best results. It's great for testing prompts, but it tends to mess with anatomy, smooth out texture, and lead to less variation on the same prompt.

Version 1:

This past weekend I was gone. I decided to let my 5090 chug along making a lokr for Qwen on ~5,000 hand fixed captions on sex, nudes, and other fun stuff of hand picked images with hand removed watermarks. I wasn't expecting it to get so good so quickly, so I did a few more night's worth of training. I'll do some additional training at some point here but it's already good enough to play around with.

It can do basic sex positions, blowjobs, cum, selfies, dildos, snapchat selfies with captions, etc. Female genitals are still a bit hit and miss, male genitals aren't bad. With it being a lokr and it being trained on so many images it's wildly flexible and can be used with perfect likeness of other loras.

Note that sometimes it'll do the wrong sex position even if you name it, and I'm unsure why as the captions have no errors. It will perhaps clear up a bit with more training.

I used Musubi Tuner and it was a heck of time getting it to train a lokr. I had to use another lycoris library for it (which is somewhere in the issues on the github page, IIRC), but it's possible the main one has Qwen support by now. Here are my training settings, though note that I reduced my LR over time and I also started with sigmoid timestep sampling. I was training at 640x640 and 1328x1328 buckets:

accelerate launch --num_cpu_threads_per_process 1 --mixed_precision bf16 src\\musubi_tuner\\qwen_image_train_network.py `

--dit Q:\\AI\\Models\\DiffusionModels\\qwen_image_bf16.safetensors `

--vae Q:\\AI\\Models\\VAE\\qwen_vae_for_training.safetensors `

--text_encoder Q:\\AI\\Models\\CLIP\\qwen_2.5_vl_7b.safetensors `

--dataset_config S:\\AI\\Musubi\\datasetWoman.toml `

--sdpa --mixed_precision bf16 `

--gradient_accumulation_steps 4 `

--timestep_sampling qinglong_qwen `

--optimizer_type adamw8bit `

--learning_rate 3e-4 --lr_scheduler linear --lr_scheduler_min_lr_ratio=1e-5 --lr_warmup_steps 150 `

--blocks_to_swap 25 `

--gradient_checkpointing --gradient_checkpointing_cpu_offload --max_data_loader_n_workers 2 --persistent_data_loader_workers `

--network_module lycoris.kohya `

--network_args \"algo=lokr\" \"factor=10\" \"bypass_mode=False\" \"use_fnmatch=True\" \"target_module=Linear\" `

\"target_name=unet.transformer_blocks.*.attn.to_q\" `

\"target_name=unet.transformer_blocks.*.attn.to_k\" `

\"target_name=unet.transformer_blocks.*.attn.to_v\" `

\"target_name=unet.transformer_blocks.*.attn.to_out.0\" `

\"target_name=unet.transformer_blocks.*.attn.add_q_proj\" `

\"target_name=unet.transformer_blocks.*.attn.add_k_proj\" `

\"target_name=unet.transformer_blocks.*.attn.add_v_proj\" `

\"target_name=unet.transformer_blocks.*.attn.to_add_out\" `

\"target_name=unet.transformer_blocks.*.img_mlp.net.0.proj\" `

\"target_name=unet.transformer_blocks.*.img_mlp.net.2\" `

--network_dim 1000000000 `

--save_every_n_steps 250 --max_train_epochs 10--logging_dir=logs `

--output_dir Q:/AI/Models/Trained/Loras/Musubi/QwenWoman --output_name WomanGirls

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More training

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General Information:

SNOFS was trained on natural language, not tags. It will work best if you use full sentences to describe what you want.

Want to support my work or help fund the training of this dataset on other models? Join the Patreon in my profile, and if you do - thank you!

Not using ComfyUI/your inference software doesn't support lokr? I've put up a merged version here: https://civitai.com/models/2416142?modelVersionId=2716480

By the way, if anyone out there needs an expert in fine tuning text-to-image models (especially one that's also a software engineer), reach out to me. I'm currently looking for employment.

Here's a list of some of the terms that work well:

  • anus

  • blowjob

  • deepthroat

  • braless

  • cowgirl position

  • cum

  • cunnilingus (be specific and maybe put kissing in the negative prompt)

  • deepthroat

  • dildo

  • doggystyle position

  • fingering

  • hand in panties

  • handjob

  • hitachi magic wand

  • implied blowjob

  • ipcam / nightvision ipcam

  • masturbating (might want to put penis in negative prompt, or specify what she's rubbing for women)

  • massage

  • missionary position

  • naked, nude, etc.

  • penis

  • pregnant (and can specify trimester)

  • prone position

  • reverse cowgirl position

  • sex

  • sheer

  • snapchat (and caption/text/etc)

  • selfie (and mirror selfie)

  • spooning position

  • strap-on dildo

  • tentacles

  • licking testicles

  • undressing

  • vagina

  • wet shirt

Depending on the version, the following might kind of work:

  • anal sex

  • anilingus

These models are under the following license:

https://huggingface.co/Ashen3/SNOFS

Flux 2 Klein 9b V1.1:

Additional training means far less body horror, even on the distilled version (but, you know, still some there). When using the distilled version of the model try playing around with more steps, adding a little cfg, etc.

Flux 2 Klein 9b V1:

Flux 2 Klein's awesome VAE means it picks up fine details incredibly well. While it still needs more training, I have some other stuff to train in the meantime so I thought it was worth it to push this out now as it can do some things incredibly well. Expect some body horror, especially if you use it with the distilled version of the model for text-to-image. I found that perhaps using more steps than 4 was helpful with the distilled version, but I also didn't try it much. Using this with the base model has far less anatomy issues. I expect them both to improve further with more training.

Right now, for text-to-image I recommend the base model. For editing, I recommend the distilled model. Note that SNOFS wasn't specifically trained on any image pairs for editing.

Training details (skip to the version 1.3 details below if you just want to know what this model can at least somewhat do right now):

I trained this as a factor 4 lokr using AI Toolkit this time. I used AI-Toolkit because when I started the training the other options had issues with their lycoris output and ComfyUI.

I think my starting learning rate was way too high at 1e-4 with an effective batch size of 4-6 or so. I quickly decreased it but it was perhaps still too high starting at 5e-5. I'm running a different training run at 1e-5 right now and it's still learning quite quickly. I might try to further train this at a very low LR and see what happens instead of starting fresh. Note: this is probably largely because of my large lokr size. I wanted to ensure I had \"room\" for all of the concepts but it can make things spicy.

I think the main issue people are coming into with training both this and Z-Image are what timesteps you train on. This was mostly trained on a high shift value of 3-5 as in inference Flux 2 Klein stays above the 800 timestep mark for most of the generation and maybe does 1 step out of 50 at below 200. I found I needed to test as I went and see where the generations went wrong and try to adjust on the fly.

Version 1.3:

Further training to further refine things. This might be the last version; I wasn't really making this for myself and I'm guessing the community wants me to make something for Z-Image. I'll at least try that out once the base model is out.

Note that the list is not exhaustive at all. It was trained on natural language (and that's how you should prompt!), so many concepts are in there.

Version 1.2:

Further training, expanded the dataset even more.

Also, I see a lot of people mixing this with other NSFW general loras. I'd recommend you try it by itself first.

Note: While you can use the lightning lora with this, keep in mind it won't lead to the best results. It's great for testing prompts, but it tends to mess with anatomy, smooth out texture, and lead to less variation on the same prompt.

Version 1:

This past weekend I was gone. I decided to let my 5090 chug along making a lokr for Qwen on ~5,000 hand fixed captions on sex, nudes, and other fun stuff of hand picked images with hand removed watermarks. I wasn't expecting it to get so good so quickly, so I did a few more night's worth of training. I'll do some additional training at some point here but it's already good enough to play around with.

It can do basic sex positions, blowjobs, cum, selfies, dildos, snapchat selfies with captions, etc. Female genitals are still a bit hit and miss, male genitals aren't bad. With it being a lokr and it being trained on so many images it's wildly flexible and can be used with perfect likeness of other loras.

Note that sometimes it'll do the wrong sex position even if you name it, and I'm unsure why as the captions have no errors. It will perhaps clear up a bit with more training.

I used Musubi Tuner and it was a heck of time getting it to train a lokr. I had to use another lycoris library for it (which is somewhere in the issues on the github page, IIRC), but it's possible the main one has Qwen support by now. Here are my training settings, though note that I reduced my LR over time and I also started with sigmoid timestep sampling. I was training at 640x640 and 1328x1328 buckets:

accelerate launch --num_cpu_threads_per_process 1 --mixed_precision bf16 src\\musubi_tuner\\qwen_image_train_network.py `

--dit Q:\\AI\\Models\\DiffusionModels\\qwen_image_bf16.safetensors `

--vae Q:\\AI\\Models\\VAE\\qwen_vae_for_training.safetensors `

--text_encoder Q:\\AI\\Models\\CLIP\\qwen_2.5_vl_7b.safetensors `

--dataset_config S:\\AI\\Musubi\\datasetWoman.toml `

--sdpa --mixed_precision bf16 `

--gradient_accumulation_steps 4 `

--timestep_sampling qinglong_qwen `

--optimizer_type adamw8bit `

--learning_rate 3e-4 --lr_scheduler linear --lr_scheduler_min_lr_ratio=1e-5 --lr_warmup_steps 150 `

--blocks_to_swap 25 `

--gradient_checkpointing --gradient_checkpointing_cpu_offload --max_data_loader_n_workers 2 --persistent_data_loader_workers `

--network_module lycoris.kohya `

--network_args \"algo=lokr\" \"factor=10\" \"bypass_mode=False\" \"use_fnmatch=True\" \"target_module=Linear\" `

\"target_name=unet.transformer_blocks.*.attn.to_q\" `

\"target_name=unet.transformer_blocks.*.attn.to_k\" `

\"target_name=unet.transformer_blocks.*.attn.to_v\" `

\"target_name=unet.transformer_blocks.*.attn.to_out.0\" `

\"target_name=unet.transformer_blocks.*.attn.add_q_proj\" `

\"target_name=unet.transformer_blocks.*.attn.add_k_proj\" `

\"target_name=unet.transformer_blocks.*.attn.add_v_proj\" `

\"target_name=unet.transformer_blocks.*.attn.to_add_out\" `

\"target_name=unet.transformer_blocks.*.img_mlp.net.0.proj\" `

\"target_name=unet.transformer_blocks.*.img_mlp.net.2\" `

--network_dim 1000000000 `

--save_every_n_steps 250 --max_train_epochs 10--logging_dir=logs `

--output_dir Q:/AI/Models/Trained/Loras/Musubi/QwenWoman --output_name WomanGirls

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More training

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General Information:

SNOFS was trained on natural language, not tags. It will work best if you use full sentences to describe what you want.

Want to support my work or help fund the training of this dataset on other models? Join the Patreon in my profile, and if you do - thank you!

Not using ComfyUI/your inference software doesn't support lokr? I've put up a merged version here: https://civitai.com/models/2416142?modelVersionId=2716480

By the way, if anyone out there needs an expert in fine tuning text-to-image models (especially one that's also a software engineer), reach out to me. I'm currently looking for employment.

Here's a list of some of the terms that work well:

  • anus

  • blowjob

  • boudoir

  • condoms

  • deepthroat

  • braless

  • cowgirl position

  • cum

  • cunnilingus (be specific and maybe put kissing in the negative prompt)

  • deepthroat

  • dildo

  • doggystyle position

  • fingering

  • hand in panties

  • handjob

  • hitachi magic wand

  • implied blowjob

  • ipcam / nightvision ipcam

  • masturbating (might want to put penis in negative prompt, or specify what she's rubbing for women)

  • massage

  • missionary position

  • naked, nude, etc.

  • penis

  • pregnant (and can specify trimester)

  • prone position

  • reverse cowgirl position

  • sex

  • sheer

  • snapchat (and caption/text/etc)

  • selfie (and mirror selfie)

  • spooning position

  • strap-on dildo

  • tentacles

  • licking testicles

  • undressing

  • vagina

  • wet shirt

Depending on the version, the following might kind of work:

  • anal sex

  • anilingus

But also keep in mind that it was trained on stuff like \"her panties are pulled down to her thighs,\" not \"panty pull.\"

These models are under the following license:

https://huggingface.co/Ashen3/SNOFS

Flux 2 Klein 9b V1.2:

More training - anal still doesn't work super reliably. Added images with terms like 'condom-wrapped penis,' 'boudoir' and 'anilingus' (again, doesn't work super great yet).

Flux 2 Klein 9b V1.1:

Additional training means far less body horror, even on the distilled version (but, you know, still some there). When using the distilled version of the model try playing around with more steps, adding a little cfg, etc.

Flux 2 Klein 9b V1:

Flux 2 Klein's awesome VAE means it picks up fine details incredibly well. While it still needs more training, I have some other stuff to train in the meantime so I thought it was worth it to push this out now as it can do some things incredibly well. Expect some body horror, especially if you use it with the distilled version of the model for text-to-image. I found that perhaps using more steps than 4 was helpful with the distilled version, but I also didn't try it much. Using this with the base model has far less anatomy issues. I expect them both to improve further with more training.

Right now, for text-to-image I recommend the base model. For editing, I recommend the distilled model. Note that SNOFS wasn't specifically trained on any image pairs for editing.

Training details (skip to the version 1.3 details below if you just want to know what this model can at least somewhat do right now):

I trained this as a factor 4 lokr using AI Toolkit this time. I used AI-Toolkit because when I started the training the other options had issues with their lycoris output and ComfyUI.

I think my starting learning rate was way too high at 1e-4 with an effective batch size of 4-6 or so. I quickly decreased it but it was perhaps still too high starting at 5e-5. I'm running a different training run at 1e-5 right now and it's still learning quite quickly. I might try to further train this at a very low LR and see what happens instead of starting fresh. Note: this is probably largely because of my large lokr size. I wanted to ensure I had \"room\" for all of the concepts but it can make things spicy.

I think the main issue people are coming into with training both this and Z-Image are what timesteps you train on. This was mostly trained on a high shift value of 3-5 as in inference Flux 2 Klein stays above the 800 timestep mark for most of the generation and maybe does 1 step out of 50 at below 200. I found I needed to test as I went and see where the generations went wrong and try to adjust on the fly.

Version 1.3:

Further training to further refine things. This might be the last version; I wasn't really making this for myself and I'm guessing the community wants me to make something for Z-Image. I'll at least try that out once the base model is out.

Note that the list is not exhaustive at all. It was trained on natural language (and that's how you should prompt!), so many concepts are in there.

Version 1.2:

Further training, expanded the dataset even more.

Also, I see a lot of people mixing this with other NSFW general loras. I'd recommend you try it by itself first.

Note: While you can use the lightning lora with this, keep in mind it won't lead to the best results. It's great for testing prompts, but it tends to mess with anatomy, smooth out texture, and lead to less variation on the same prompt.

Version 1:

This past weekend I was gone. I decided to let my 5090 chug along making a lokr for Qwen on ~5,000 hand fixed captions on sex, nudes, and other fun stuff of hand picked images with hand removed watermarks. I wasn't expecting it to get so good so quickly, so I did a few more night's worth of training. I'll do some additional training at some point here but it's already good enough to play around with.

It can do basic sex positions, blowjobs, cum, selfies, dildos, snapchat selfies with captions, etc. Female genitals are still a bit hit and miss, male genitals aren't bad. With it being a lokr and it being trained on so many images it's wildly flexible and can be used with perfect likeness of other loras.

Note that sometimes it'll do the wrong sex position even if you name it, and I'm unsure why as the captions have no errors. It will perhaps clear up a bit with more training.

I used Musubi Tuner and it was a heck of time getting it to train a lokr. I had to use another lycoris library for it (which is somewhere in the issues on the github page, IIRC), but it's possible the main one has Qwen support by now. Here are my training settings, though note that I reduced my LR over time and I also started with sigmoid timestep sampling. I was training at 640x640 and 1328x1328 buckets:

accelerate launch --num_cpu_threads_per_process 1 --mixed_precision bf16 src\\musubi_tuner\\qwen_image_train_network.py `

--dit Q:\\AI\\Models\\DiffusionModels\\qwen_image_bf16.safetensors `

--vae Q:\\AI\\Models\\VAE\\qwen_vae_for_training.safetensors `

--text_encoder Q:\\AI\\Models\\CLIP\\qwen_2.5_vl_7b.safetensors `

--dataset_config S:\\AI\\Musubi\\datasetWoman.toml `

--sdpa --mixed_precision bf16 `

--gradient_accumulation_steps 4 `

--timestep_sampling qinglong_qwen `

--optimizer_type adamw8bit `

--learning_rate 3e-4 --lr_scheduler linear --lr_scheduler_min_lr_ratio=1e-5 --lr_warmup_steps 150 `

--blocks_to_swap 25 `

--gradient_checkpointing --gradient_checkpointing_cpu_offload --max_data_loader_n_workers 2 --persistent_data_loader_workers `

--network_module lycoris.kohya `

--network_args \"algo=lokr\" \"factor=10\" \"bypass_mode=False\" \"use_fnmatch=True\" \"target_module=Linear\" `

\"target_name=unet.transformer_blocks.*.attn.to_q\" `

\"target_name=unet.transformer_blocks.*.attn.to_k\" `

\"target_name=unet.transformer_blocks.*.attn.to_v\" `

\"target_name=unet.transformer_blocks.*.attn.to_out.0\" `

\"target_name=unet.transformer_blocks.*.attn.add_q_proj\" `

\"target_name=unet.transformer_blocks.*.attn.add_k_proj\" `

\"target_name=unet.transformer_blocks.*.attn.add_v_proj\" `

\"target_name=unet.transformer_blocks.*.attn.to_add_out\" `

\"target_name=unet.transformer_blocks.*.img_mlp.net.0.proj\" `

\"target_name=unet.transformer_blocks.*.img_mlp.net.2\" `

--network_dim 1000000000 `

--save_every_n_steps 250 --max_train_epochs 10--logging_dir=logs `

--output_dir Q:/AI/Models/Trained/Loras/Musubi/QwenWoman --output_name WomanGirls

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Further training

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Further training

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SexGod Blowjobs Klein 9b Lora

trigger word bl0wjob

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Improved Female Nudity Lora

Flux Klein 9B

Version 3.0 has no trigger word

My goal here was to create photorealistic nudes, not just idealized bodies. Things like detailed skin pores, various breast types and body shapes, I think v2.5 is closer to that overall goal. Lora was trained on natural flux language, I typically just use the 8 step distilled model

Sampler: Try euler or euler_a, dpmpp_sde is another good one

Model: all my images use flux-2-klein-9b-BF16.gguf (distilled version) with cfg 1.0, if you have trouble just drag one of my images into comfyUI and run the workflow, I use a black 768x1280 image as my latent

version 2.5 was trained on 340 images, with detailed prompts focused on different poses, lighting conditions, age groups, ethnicities etc

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v3.0 no trigger word

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+1,1879 @@ +{ + "id": 2439952, + "name": "SexGod Improved Female Nudity - Flux Klein 9b", + "description": "

Improved Female Nudity Lora

Flux Klein 9B

Version 3.0 has no trigger word

My goal here was to create photorealistic nudes, not just idealized bodies. Things like detailed skin pores, various breast types and body shapes, I think v2.5 is closer to that overall goal. Lora was trained on natural flux language, I typically just use the 8 step distilled model

Sampler: Try euler or euler_a, sa_solver, dpmpp_sde is another good one

Model: all my images use flux-2-klein-9b-BF16.gguf (distilled version) with cfg 1.0, if you have trouble just drag one of my images into comfyUI and run the workflow, I use a black 768x1280 image as my latent

version 2.5 was trained on 340 images, with detailed prompts focused on different poses, lighting conditions, age groups, ethnicities etc

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v3.0 no trigger word

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❤️ Please give me some motivation

This is a collection of Slider-LORA models for body control, dedicated to shaping the physical characteristics of characters to create unique character images; for more types of control functions, please check my other collections.

Whether this collection can be continuously updated will depend on everyone's feedback. If you like it, please like, follow and share to let me know your appreciation; if you don't like it, I will discontinue it. If you want to support independent development, please consider buying me a cup of coffee to keep this motivation going!

🔥In return, supporters will get the full version ( models and exclusive workflows )🔥Thank you very much!

🤖About LORA :

skin ( supporter version )

chest ( supporter version )

waist ( supporter version )

buttocks ( supporter version )

weight ( only for supporter )

age ( only for supporter )

height ( only for supporter )

muscle ( supporter version )

👾Support me please:

  1. I've invested a great deal of time and money in repeatedly training, testing, and optimizing these models, aiming to make them worthy of every ❤.

  2. All publicly released models are experimental versions, intended solely for learning and communication purposes. If you discover any obvious advantages or disadvantages, please post the images and leave a comment to inform me.

  3. The full versions for supporters on Patreon only.

✨Supporters also get exclusive access to:

  • 🔓Get early access to various latest experimental models

  • 🔓 The unreleased full version of the model and dedicated workflows

  • 🔓 Detailed usage tips and guides, as well as professional consulting support

🫡 May the AI-power be with you🫡 see you soon !

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Disclaimer: This model or workflow is experimental and intended for learning and communication purposes only. Do not use it for any commercial activities.Users bear full responsibility for the generated content, including its legality, ethical implications, or potential misuse.By using this model or workflow, you are deemed to have agreed to these principles. Please use it responsibly within the scope permitted by local laws.

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Disclaimer: This model or workflow is experimental and intended for learning and communication purposes only. Do not use it for any commercial activities.Users bear full responsibility for the generated content, including its legality, ethical implications, or potential misuse.By using this model or workflow, you are deemed to have agreed to these principles. Please use it responsibly within the scope permitted by local laws.

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Disclaimer: My model or workflow is solely for learning and communication purposes and shall not be used for any commercial activities. All responsibilities for the generated content, including its legality, ethical implications, or potential misuse, are borne entirely by the user. By using this model or workflow, you agree to this principle. Please use it responsibly within the scope of local laws.

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Disclaimer: This model or workflow is experimental and intended for learning and communication purposes only. Do not use it for any commercial activities.Users bear full responsibility for the generated content, including its legality, ethical implications, or potential misuse.By using this model or workflow, you are deemed to have agreed to these principles. Please use it responsibly within the scope permitted by local laws.

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\"class_type\": \"LoraLoaderModelOnly\", \"_meta\": {\"title\": \"LoRA\\u52a0\\u8f7d\\u5668(\\u4ec5\\u6a21\\u578b)\"}}}, \"workflow\": {\"id\": \"92112d97-bb64-4b44-86f2-ea5691ef8f6e\", \"revision\": 0, \"last_node_id\": 129, \"last_link_id\": 188, \"nodes\": [{\"id\": 79, \"type\": \"MarkdownNote\", \"pos\": [-710, 340], \"size\": [550, 940], \"flags\": {}, \"order\": 0, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {\"ue_properties\": {\"widget_ue_connectable\": {}, \"version\": \"7.7\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"## Model Links (for Local Users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8/resolve/main/flux-2-klein-base-9b-fp8.safetensors)\\n- [flux-2-klein-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-fp8/resolve/main/flux-2-klein-9b-fp8.safetensors)\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [full_encoder_small_decoder.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-small-decoder/resolve/main/full_encoder_small_decoder.safetensors)\\n\\n\\n## Model Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u251c\\u2500\\u2500 flux-2-klein-base-9b-fp8.safetensors\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 flux-2-klein-9b-fp8.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 full_encoder_small_decoder.safetensors\\n```\\n\\n## Report Issue\\n\\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\\n\\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\\n\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 114, \"type\": \"KSamplerSelect\", \"pos\": [1290, 120], \"size\": [270, 110], \"flags\": {}, \"order\": 1, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"label\": \"\\u91c7\\u6837\\u5668\", \"name\": \"SAMPLER\", \"type\": \"SAMPLER\", \"links\": [174]}], \"properties\": {\"Node name for S&R\": \"KSamplerSelect\", \"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, 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control/extra_data-vid_2857549/model_dict-mid_2529815-vid_2857549.json b/klein-9b/lora/Slider-LORA , Body control/extra_data-vid_2857549/model_dict-mid_2529815-vid_2857549.json new file mode 100644 index 0000000000000000000000000000000000000000..08695167abb2ae11646aa848b07ded117f0e8069 --- /dev/null +++ b/klein-9b/lora/Slider-LORA , Body control/extra_data-vid_2857549/model_dict-mid_2529815-vid_2857549.json @@ -0,0 +1,422 @@ +{ + "id": 2529815, + "name": "Slider-LORA : Body control", + "description": "

❤️ Please give me some motivation

This is a collection of Slider-LORA models for body control, dedicated to shaping the physical characteristics of characters to create unique character images; for more types of control functions, please check my other collections.

Whether this collection can be continuously updated will depend on everyone's feedback. If you like it, please like, follow and share to let me know your appreciation; if you don't like it, I will discontinue it. If you want to support independent development, please consider buying me a cup of coffee to keep this motivation going!

🔥In return, supporters will get the full version ( models and exclusive workflows )🔥Thank you very much!

🤖About LORA :

skin ( supporter version )

chest ( supporter version )

waist ( supporter version )

buttocks ( supporter version )

weight ( only for supporter )

age ( only for supporter )

height ( only for supporter )

muscle ( supporter version )

👾Support me please:

  1. I've invested a great deal of time and money in repeatedly training, testing, and optimizing these models, aiming to make them worthy of every ❤.

  2. All publicly released models are experimental versions, intended solely for learning and communication purposes. If you discover any obvious advantages or disadvantages, please post the images and leave a comment to inform me.

  3. The full versions for supporters on Patreon only.

✨Supporters also get exclusive access to:

  • 🔓Get early access to various latest experimental models

  • 🔓 The unreleased full version of the model and dedicated workflows

  • 🔓 Detailed usage tips and guides, as well as professional consulting support

🫡 May the AI-power be with you🫡 see you soon !

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\"UNET\\u52a0\\u8f7d\\u5668\"}}, \"125\": {\"inputs\": {\"clip_name\": \"qwen_3_8b_fp8mixed.safetensors\", \"type\": \"flux2\", \"device\": \"default\"}, \"class_type\": \"CLIPLoader\", \"_meta\": {\"title\": \"\\u52a0\\u8f7dCLIP\"}}, \"126\": {\"inputs\": {\"vae_name\": \"full_encoder_small_decoder.safetensors\"}, \"class_type\": \"VAELoader\", \"_meta\": {\"title\": \"\\u52a0\\u8f7dVAE\"}}, \"127\": {\"inputs\": {\"text\": [\"76\", 0], \"clip\": [\"125\", 0]}, \"class_type\": \"CLIPTextEncode\", \"_meta\": {\"title\": \"CLIP Text Encode (Positive Prompt)\"}}, \"128\": {\"inputs\": {\"lora_name\": \"Klein-Slider-9B\\\\BodyControl\\\\waistline_Patreon.safetensors\", \"strength_model\": 6.0, \"model\": [\"124\", 0]}, \"class_type\": \"LoraLoaderModelOnly\", \"_meta\": {\"title\": \"LoRA\\u52a0\\u8f7d\\u5668(\\u4ec5\\u6a21\\u578b)\"}}, \"129\": {\"inputs\": {\"lora_name\": \"Klein-Slider-9B\\\\BodyControl\\\\weight_Patreon.safetensors\", \"strength_model\": -3.0, \"model\": [\"128\", 0]}, \"class_type\": \"LoraLoaderModelOnly\", \"_meta\": {\"title\": \"LoRA\\u52a0\\u8f7d\\u5668(\\u4ec5\\u6a21\\u578b)\"}}}, \"workflow\": {\"id\": \"92112d97-bb64-4b44-86f2-ea5691ef8f6e\", \"revision\": 0, \"last_node_id\": 129, \"last_link_id\": 188, \"nodes\": [{\"id\": 79, \"type\": \"MarkdownNote\", \"pos\": [-710, 340], \"size\": [550, 940], \"flags\": {}, \"order\": 0, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {\"ue_properties\": {\"widget_ue_connectable\": {}, \"version\": \"7.7\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"## Model Links (for Local Users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8/resolve/main/flux-2-klein-base-9b-fp8.safetensors)\\n- [flux-2-klein-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-fp8/resolve/main/flux-2-klein-9b-fp8.safetensors)\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [full_encoder_small_decoder.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-small-decoder/resolve/main/full_encoder_small_decoder.safetensors)\\n\\n\\n## Model Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u251c\\u2500\\u2500 flux-2-klein-base-9b-fp8.safetensors\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 flux-2-klein-9b-fp8.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 full_encoder_small_decoder.safetensors\\n```\\n\\n## Report Issue\\n\\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\\n\\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\\n\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 114, \"type\": \"KSamplerSelect\", \"pos\": [1290, 120], \"size\": [270, 110], \"flags\": {}, \"order\": 1, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"label\": \"\\u91c7\\u6837\\u5668\", \"name\": \"SAMPLER\", \"type\": \"SAMPLER\", \"links\": [174]}], \"properties\": {\"Node name for S&R\": \"KSamplerSelect\", \"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, 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❤️ Please give me some motivation

This is a collection of Slider-LORA models for body control, dedicated to shaping the physical characteristics of characters to create unique character images; for more types of control functions, please check my other collections.

Whether this collection can be continuously updated will depend on everyone's feedback. If you like it, please like, follow and share to let me know your appreciation; if you don't like it, I will discontinue it. If you want to support independent development, please consider buying me a cup of coffee to keep this motivation going!

🔥In return, supporters will get the full version ( models and exclusive workflows )🔥Thank you very much!

🤖About LORA :

skin ( supporter version )

chest ( supporter version )

waist ( supporter version )

buttocks ( supporter version )

weight ( only for supporter )

age ( only for supporter )

height ( only for supporter )

muscle ( supporter version )

👾Support me please:

  1. I've invested a great deal of time and money in repeatedly training, testing, and optimizing these models, aiming to make them worthy of every ❤.

  2. All publicly released models are experimental versions, intended solely for learning and communication purposes. If you discover any obvious advantages or disadvantages, please post the images and leave a comment to inform me.

  3. The full versions for supporters on Patreon only.

✨Supporters also get exclusive access to:

  • 🔓Get early access to various latest experimental models

  • 🔓 The unreleased full version of the model and dedicated workflows

  • 🔓 Detailed usage tips and guides, as well as professional consulting support

🫡 May the AI-power be with you🫡 see you soon !

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Disclaimer: This model or workflow is experimental and intended for learning and communication purposes only. Do not use it for any commercial activities.Users bear full responsibility for the generated content, including its legality, ethical implications, or potential misuse.By using this model or workflow, you are deemed to have agreed to these principles. Please use it responsibly within the scope permitted by local laws.

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Disclaimer: This model or workflow is experimental and intended for learning and communication purposes only. Do not use it for any commercial activities.Users bear full responsibility for the generated content, including its legality, ethical implications, or potential misuse.By using this model or workflow, you are deemed to have agreed to these principles. Please use it responsibly within the scope permitted by local laws.

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Disclaimer: This model or workflow is experimental and intended for learning and communication purposes only. Do not use it for any commercial activities.Users bear full responsibility for the generated content, including its legality, ethical implications, or potential misuse.By using this model or workflow, you are deemed to have agreed to these principles. Please use it responsibly within the scope permitted by local laws.

", + "covered": true, + "stats": { + "downloadCount": 740, + "thumbsUpCount": 53, + "thumbsDownCount": 1 + }, + "files": [ + { + "id": 2746635, + "sizeKB": 40476.2109375, + "name": "waistline.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-04-16T05:55:32.384Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "95FDD227", + "AutoV2": "C053D07B96", + "SHA256": "C053D07B963AE5F2ABE141CAB9F3436117BEDBA23050C2727C918F06E93F27A8", + "CRC32": "EE46A82F", + "BLAKE3": "4362D7622AF863F5A6ACC0CDABF42542DFAEB646FA1BEA7E7453ACC8BE5E34F1", + "AutoV3": "A1E19A8D14B1" + }, + "downloadUrl": "https://civitai.com/api/download/models/2862288", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4ebda3d3-58da-42e9-b988-bea62e712af3/original=true/127684060.jpeg", + "nsfwLevel": 1, + "width": 1024, + "height": 1536, + "hash": "U5E1,J}@00S1?a-Uv~wc00n4_3X7h}IpT0s;", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": false, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4bf4b895-5a28-41ae-9e36-5c8d276a4da7/original=true/127690448.jpeg", + "nsfwLevel": 1, + "width": 1024, + "height": 1536, + "hash": "U48gjPxt01WX~qs.9ZafEOoeV?RjTJbbZ$V@", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2862288" + }, + { + "id": 2857549, + "index": 3, + "name": "chest", + "baseModel": "Flux.2 Klein 9B", + "baseModelType": "Standard", + "createdAt": "2026-04-14T15:05:40.108Z", + "publishedAt": "2026-04-14T15:07:03.707Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 1, + "description": "

Disclaimer: My model or workflow is solely for learning and communication purposes and shall not be used for any commercial activities. All responsibilities for the generated content, including its legality, ethical implications, or potential misuse, are borne entirely by the user. By using this model or workflow, you agree to this principle. Please use it responsibly within the scope of local laws.

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Disclaimer: This model or workflow is experimental and intended for learning and communication purposes only. Do not use it for any commercial activities.Users bear full responsibility for the generated content, including its legality, ethical implications, or potential misuse.By using this model or workflow, you are deemed to have agreed to these principles. Please use it responsibly within the scope permitted by local laws.

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❤️ Please give me some motivation

This is a collection of Slider-LORA models for body control, dedicated to shaping the physical characteristics of characters to create unique character images; for more types of control functions, please check my other collections.

Whether this collection can be continuously updated will depend on everyone's feedback. If you like it, please like, follow and share to let me know your appreciation; if you don't like it, I will discontinue it. If you want to support independent development, please consider buying me a cup of coffee to keep this motivation going!

🔥In return, supporters will get the full version ( models and exclusive workflows )🔥Thank you very much!

🤖About LORA :

skin ( supporter version )

chest ( supporter version )

waist ( supporter version )

buttocks ( supporter version )

weight ( only for supporter )

age ( only for supporter )

height ( only for supporter )

muscle ( supporter version )

👾Support me please:

  1. I've invested a great deal of time and money in repeatedly training, testing, and optimizing these models, aiming to make them worthy of every ❤.

  2. All publicly released models are experimental versions, intended solely for learning and communication purposes. If you discover any obvious advantages or disadvantages, please post the images and leave a comment to inform me.

  3. The full versions for supporters on Patreon only.

✨Supporters also get exclusive access to:

  • 🔓Get early access to various latest experimental models

  • 🔓 The unreleased full version of the model and dedicated workflows

  • 🔓 Detailed usage tips and guides, as well as professional consulting support

🫡 May the AI-power be with you🫡 see you soon !

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Disclaimer: This model or workflow is experimental and intended for learning and communication purposes only. Do not use it for any commercial activities.Users bear full responsibility for the generated content, including its legality, ethical implications, or potential misuse.By using this model or workflow, you are deemed to have agreed to these principles. Please use it responsibly within the scope permitted by local laws.

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Disclaimer: This model or workflow is experimental and intended for learning and communication purposes only. Do not use it for any commercial activities.Users bear full responsibility for the generated content, including its legality, ethical implications, or potential misuse.By using this model or workflow, you are deemed to have agreed to these principles. Please use it responsibly within the scope permitted by local laws.

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Disclaimer: This model or workflow is experimental and intended for learning and communication purposes only. Do not use it for any commercial activities.Users bear full responsibility for the generated content, including its legality, ethical implications, or potential misuse.By using this model or workflow, you are deemed to have agreed to these principles. Please use it responsibly within the scope permitted by local laws.

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Disclaimer: My model or workflow is solely for learning and communication purposes and shall not be used for any commercial activities. All responsibilities for the generated content, including its legality, ethical implications, or potential misuse, are borne entirely by the user. By using this model or workflow, you agree to this principle. Please use it responsibly within the scope of local laws.

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Disclaimer: This model or workflow is experimental and intended for learning and communication purposes only. Do not use it for any commercial activities.Users bear full responsibility for the generated content, including its legality, ethical implications, or potential misuse.By using this model or workflow, you are deemed to have agreed to these principles. Please use it responsibly within the scope permitted by local laws.

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❤️ Please give me some motivation

This is a collection of Slider-LORA models for body control, dedicated to shaping the physical characteristics of characters to create unique character images; for more types of control functions, please check my other collections.

Whether this collection can be continuously updated will depend on everyone's feedback. If you like it, please like, follow and share to let me know your appreciation; if you don't like it, I will discontinue it. If you want to support independent development, please consider buying me a cup of coffee to keep this motivation going!

🔥In return, supporters will get the full version ( models and exclusive workflows )🔥Thank you very much!

🤖About LORA :

skin ( supporter version )

chest ( supporter version )

waist ( supporter version )

buttocks ( supporter version )

weight ( only for supporter )

age ( only for supporter )

height ( only for supporter )

muscle ( supporter version )

👾Support me please:

  1. I've invested a great deal of time and money in repeatedly training, testing, and optimizing these models, aiming to make them worthy of every ❤.

  2. All publicly released models are experimental versions, intended solely for learning and communication purposes. If you discover any obvious advantages or disadvantages, please post the images and leave a comment to inform me.

  3. The full versions for supporters on Patreon only.

✨Supporters also get exclusive access to:

  • 🔓Get early access to various latest experimental models

  • 🔓 The unreleased full version of the model and dedicated workflows

  • 🔓 Detailed usage tips and guides, as well as professional consulting support

🫡 May the AI-power be with you🫡 see you soon !

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Disclaimer: This model or workflow is experimental and intended for learning and communication purposes only. Do not use it for any commercial activities.Users bear full responsibility for the generated content, including its legality, ethical implications, or potential misuse.By using this model or workflow, you are deemed to have agreed to these principles. Please use it responsibly within the scope permitted by local laws.

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❤️ Please give me some motivation

This is a collection of Slider-LORA, dedicated to creating unique visual concepts.; for more types of control functions, please check my other collections.

Whether this collection can be continuously updated will depend on everyone's feedback. If you like it, please like, follow and share to let me know your appreciation; if you don't like it, I will discontinue it. If you want to support independent development, please consider buying me a cup of coffee to keep this motivation going!

🔥In return, supporters will get the full version ( models and exclusive workflows )🔥Thank you very much!

🤖About LORA :

quality ( Supporter version )

lighting ( Supporter version )

colortone ( Supporter version )

height ( only for supporters )

colorful ( Supporter version )

age ( only for supporters )

weight ( only for supporters )

people ( Supporter version )

clothes size ( supporter version )

tattoos ( supporter version )

shoot ( Supporter version )

angle shot ( supporter version )

fisheye ( supporter version )

details ( supporter version )

👾Support me please:

  1. I've invested a great deal of time and money in repeatedly training, testing, and optimizing these models, aiming to make them worthy of every ❤.

  2. All publicly released models are experimental versions, intended solely for learning and communication purposes. If you discover any obvious advantages or disadvantages, please post the images and leave a comment to inform me.

  3. The full versions for supporters on Patreon only.

✨Supporters also get exclusive access to:

  • 🔓Get early access to various latest experimental models

  • 🔓 The unreleased full version of the model and dedicated workflows

  • 🔓 Detailed usage tips and guides, as well as professional consulting support

🫡 May the AI-power be with you🫡see you soon !

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Disclaimer: This model or workflow is experimental and intended for learning and communication purposes only. Do not use it for any commercial activities.Users bear full responsibility for the generated content, including its legality, ethical implications, or potential misuse.By using this model or workflow, you are deemed to have agreed to these principles. Please use it responsibly within the scope permitted by local laws.

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Disclaimer: This model or workflow is experimental and intended for learning and communication purposes only. Do not use it for any commercial activities.Users bear full responsibility for the generated content, including its legality, ethical implications, or potential misuse.By using this model or workflow, you are deemed to have agreed to these principles. Please use it responsibly within the scope permitted by local laws.

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Disclaimer: This model or workflow is experimental and intended for learning and communication purposes only. Do not use it for any commercial activities.Users bear full responsibility for the generated content, including its legality, ethical implications, or potential misuse.By using this model or workflow, you are deemed to have agreed to these principles. Please use it responsibly within the scope permitted by local laws.

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Disclaimer: This model or workflow is experimental and intended for learning and communication purposes only. Do not use it for any commercial activities.Users bear full responsibility for the generated content, including its legality, ethical implications, or potential misuse.By using this model or workflow, you are deemed to have agreed to these principles. Please use it responsibly within the scope permitted by local laws.

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Disclaimer: This model or workflow is experimental and intended for learning and communication purposes only. Do not use it for any commercial activities.Users bear full responsibility for the generated content, including its legality, ethical implications, or potential misuse.By using this model or workflow, you are deemed to have agreed to these principles. Please use it responsibly within the scope permitted by local laws.

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Disclaimer: This model or workflow is experimental and intended for learning and communication purposes only. Do not use it for any commercial activities.Users bear full responsibility for the generated content, including its legality, ethical implications, or potential misuse.By using this model or workflow, you are deemed to have agreed to these principles. Please use it responsibly within the scope permitted by local laws.

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Disclaimer: My model or workflow is solely for learning and communication purposes and shall not be used for any commercial activities. All responsibilities for the generated content, including its legality, ethical implications, or potential misuse, are borne entirely by the user. By using this model or workflow, you agree to this principle. Please use it responsibly within the scope of local laws.

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Disclaimer: My model or workflow is solely for learning and communication purposes and shall not be used for any commercial activities. All responsibilities for the generated content, including its legality, ethical implications, or potential misuse, are borne entirely by the user. By using this model or workflow, you agree to this principle. Please use it responsibly within the scope of local laws.

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Disclaimer: My model or workflow is solely for learning and communication purposes and shall not be used for any commercial activities. All responsibilities for the generated content, including its legality, ethical implications, or potential misuse, are borne entirely by the user. By using this model or workflow, you agree to this principle. Please use it responsibly within the scope of local laws.

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Disclaimer: My model or workflow is solely for learning and communication purposes and shall not be used for any commercial activities. All responsibilities for the generated content, including its legality, ethical implications, or potential misuse, are borne entirely by the user. By using this model or workflow, you agree to this principle. Please use it responsibly within the scope of local laws.

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Disclaimer: My model or workflow is solely for learning and communication purposes and shall not be used for any commercial activities. All responsibilities for the generated content, including its legality, ethical implications, or potential misuse, are borne entirely by the user. By using this model or workflow, you agree to this principle. Please use it responsibly within the scope of local laws.

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You can click on the link below to try it out directly. If the effect is good, you can deploy it locally

https://www.runninghub.ai/post/2021892139688398850/?inviteCode=sdhs0trb

Fan benefits,register to get 1000 points,daily login 100 points,play 4090!Experience the super power of 48G.

StyleSculpt: Character Design (Flux.2 Klein Edition)

StyleSculpt is a specialized character design LoRA trained on the Flux.2 Klein 9B architecture. This model was developed by analyzing a vast dataset of character illustrations from diverse artists and art styles. It is designed to act as a \"Style Bridge,\" allowing you to translate specific aesthetic references into high-quality, original character concepts.

Whether you are looking for stylized anime, gritty concept art, or polished game illustrations, StyleSculpt adapts to your reference image while maintaining structural integrity and design depth.

### How to Use:

To get the best results, follow this simple workflow:

  1. Reference Image: Upload a style reference image (Image 1) that captures the aesthetic or brushwork you desire.

  2. The Trigger Phrase: Start your prompt with:

    \"Design a character in the style of Image 1...\"

  3. Character Details: Continue with descriptive prompts detailing your character's appearance, outfit, and personality (e.g., \"...a futuristic cyberpunk mercenary, wearing neon-lined tactical gear, holding a high-tech katana\").

### Technical Details:

  • Base Model: Flux.2 Klein 9B

  • Focus: Character Design / Concept Art / Style Mimicry

  • Training Data: High-quality character sheets and illustrations from various professional artists.

Effect Showcase

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a little side project

The LoRA did NOT learn any faces or any NSFW stuff

Only intention was to create SFWish big booty/hourglass body shots

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Disclaimer:

Experimental. May be replaced or deleted.

The LoRAs did not learn any faces

Work in progress...

Body List:
https://mega.nz/file/VD9wgZoT#QBJ2goX8WD9IoeIZnMoVqQ8ZkFWRJ2gcr9_2LfJCacY

Flux1 Versions

ZIT Versions

AI-Toolkit Job Config used for Version A

https://mega.nz/file/oHFEwYgI#jmkGule-6UF2ClA_mPrLLi7lf_wU4_IYYjGaXL9GYMw

Version Notes:

Version D:

Trained on NSFW only

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So this is the proper 1.0 release of the detail slider for Klein 9b. Takes your images from minimal and simplified on the negative end to more detailed and complex on the positive side.

Honestly, this version is just... better. Like, noticeably better than those proof-of-concept releases. The changes across the -10 to 10 range are way more pronounced now, and it plays nicer with different styles instead of randomly deciding to break things. File size went up a bit to make room for the improved training, but whatever, it actually works consistently now, which is the whole point.

The slider doesn't fight Klein 9b's weird way of handling detail anymore. It just does what you'd expect a detail slider to do, across pretty much the full range. Extremes might still get a little funky, but that's kind of par for the course.

This isn't experimental anymore, it's just... done. Well, done enough. Klein 9b's still evolving as a model, so if you find weird edge cases or figure out sweet spots for specific styles, yeah, let me know. But this should handle most stuff without needing babysitting.

Old description for v0.1 and v0.2:

An experimental detail slider for Klein 9b. Less than one megabyte in size. This adjusts the level of detail and intricacy in your images from minimal and simplified on the negative end to more detailed and complex on the positive side.

The slider works across a -10 to 10 range, though the effect is notably more subtle compared to detail sliders for other models. Starts to break down around 8 in strength.

Klein 9b handles detail differently than most image generators, so this is very much a work in progress as I figure out how to best nudge the model's output without fighting against its natural tendencies.

Current status: This is a proof of concept release. It does something, but it's not perfect and needs refinement. I'm releasing it now to gather feedback and see how it performs across different prompts and use cases in the wild.

Please share your results! If you use this slider, post your images and let me know what worked, what didn't, and what strength ranges gave you the best results. The more feedback I get, the better I can make future training runs. Klein 9b is still relatively new territory, so your real-world testing is genuinely valuable for improving this.

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Version 0.2 - slightly more functional and still tiny in size.

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Does what it says, adjusts the overall quality and craftsmanship of your images from rough amateur work on the negative end to polished professional execution on the positive side. Previously called \"Amateur-to-Master\" but renamed to something more straightforward because, well, that's what it does.

At -10, you're getting simplified composition, less refined execution, that kind of beginner-level aesthetic. Slide it toward 10 and everything tightens up, composition, lighting, color harmony, visual hierarchy, the whole professional package where every detail feels intentional and skilfully done.

Range: -10 to 10

You'll probably notice a slight greying on the negative end and more saturated looks on the positive side, which is just natural for what the slider's doing. Lower quality tends toward duller colors, professional work tends to pop more. It's not a bug, it's just how quality tends to present itself visually.

Straightforward tool for dialling quality up or down without overhauling your prompts. Works across most styles and subjects.

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Can be used with body parts and objects. You have to add a \"pussy\" lora if you want to apply on that part.

Example trigger prompts:

face and body covered in cum
cum in mouth

For editing:

cover her face with cum
cover the object with cum

It can be used for editing, but it will create massive amount of cum with the prompt above. Instead, you can try use the prompt below so that you wouldn't suffocate the person with cum (Or perhaps that's what you wanted to do)

cover her face with tiny amount of cum

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"id": 2403605, + "name": "Too Horny To Undress [THTU]", + "description": "

THTU Beta V2 Changelog:

Prompt Structure Changes: I've updated the prompt structure significantly. You no longer strictly need to use clinical terms like 'buttocks' or 'vulva'. The model now perfectly understands and reacts to words like \"ass\", \"pussy\" and \"asshole\" just the same.

Training Adjustment: I tweaked the training settings, resulting in a visible reduction in anatomical glitches and action failures. You should now be able to achieve your desired composition with a much higher success rate.

The full version of the LoRa will require a significant number of front-facing photos and a wide variety of clothing interactions (specifically panties being pulled aside, twisted, etc.). Because gathering high-quality data for these specific interactions takes time and because I want to experiment with a few different concepts, the Full Version will be delayed a bit.

That's why I wanted to release this second Beta to provide a better, smoother experience in the meantime. Thank you for your interest!

Quick Prompting Guide:

Essential Tags: Due to the base model's bias towards generating front-facing subjects, prompts like \"taken from behind\" and \"facing away from the camera\" are practically mandatory.

Action Trigger: It seems to work even without describing specific clothing if you use phrases like \"expose ass, pussy, asshole\" within your desired sentence structure.

Recommended Actions: Standing, Leaning, Bending, Kneeling, All fours.

Recommended Clothing Actions: Lifted, Pulled down/up, Bunched up.

Even if you don't use these exact words, the model usually understands your intent and tries to execute it. These are simply the words I relied on during captioning for training, so they are the most reliable.

Flexibility: Beyond that, feel free to describe the subject or the environment in as much detail as you like; this LoRa does not restrict composition creation. I see no reason why it shouldn't work with other LoRas; you might just need to lower the weight. I've seen it work down to 0.6 in some compositions.

Note: As the prompt becomes more detailed and complex, the success rate of the specific action may drop. If you notice that none of your consecutive attempts are working, please try changing your sentence structure.

Too Horny To Undress [THTU]:

The concept is simple: Ladies who are just too horny to bother taking their clothes off, getting 'ready' in the most optimal way possible. Yeah... Simple...

After the experience gained from my Flashing Tits Lora, I thought it made sense to create a 'Flashing Ass' version. But as things progressed, I realized that might be a bit boring on its own, so I pivoted the concept. This Lora isn't just about the act of flashing; it covers suggestive positions and brings a massive quality boost to areas like the vagina and anus.

You might say: \"Hey Comrade, Klein already struggles with anatomy, refuses to do sexual acts, and is oblivious to half the human body. Is it logical to do this?\"

My answer: \"No, it's not logical. I haven't made a logical decision in the last 7-8 years of my life... but strangely enough, IT WORKS!\"

Quick Prompt Guide:

Flux2 Klein relies heavily on natural language prompting, so traditional trigger words don't function quite the same way. You need to describe the composition clearly for the model to understand. Here is a logic you can follow:

Structure:
[Shot, Subject & Position] > [Clothing & Action] > [Environment details] > [Lighting & Mood]

Stage 1: Shot & Subject
Define the camera angle and the subject's pose. Since this lora focuses on the rear view:

  • Template: A [shot type: close-up, full body, wide shot, POV] photograph taken from behind of a [subject description], [standing / bending over / kneeling / on all fours] in [setting]. She has [anything]

  • Selection: \"A high-angle, full-body photograph taken from behind a woman standing on a sandy beach. She has sun-bleached wavy hair and pale skin.\"

Stage 2: The Action (Crucial!)
Describe the clothing state and the exposure explicitly.

  • Template: She is wearing [clothes], [action: pulled down to ankles(or thighs or knees/ lifted up / hiked up / flipped up], [exposing her bare buttocks / leaving her buttocks completely bare].

  • Selection: \"She is wearing an orange, cropped, sleeveless top and black, thigh-high leggings that are pulled down to her thighs, exposing her buttocks.\"

Stage 3 & 4: Environment & Mood (Optional)
Add the final touches to the scene.

  • Selection: \"The background features calm ocean waves under the warm glow of a setting sun, creating a soft and cinematic atmosphere.\"

FINAL FULL PROMPT EXAMPLE:

\"A high-angle, full-body photograph taken from behind a woman standing on a sandy beach. She has sun-bleached wavy hair and pale skin. She is wearing an orange, cropped, sleeveless top and black, thigh-high leggings that are pulled down to her thighs, exposing her buttocks. The background features calm ocean waves under the warm glow of a setting sun, creating a soft and cinematic atmosphere.\"

General Guide:

  • Check the Samples: Definitely check the prompts in the sample images. I trained this on hundreds of photos featuring actions like standing, leaning, kneeling, and all fours. The common thread is that they are all viewed from behind. So, prompts where the subject is facing away will work best. You'll see it works when you detail the \"exposed\" action the subject is doing. Feel free to use LLMs; Gemini is doing a good job right now for me.

  • Why Beta?: The reason this is currently in 'Beta' is that I plan to conduct tests with some changes in my training methods, and of course, I have a dataset several times larger waiting to be used. I also plan to add front-facing shots in the next stage to capture a general \"clothed horniness\" vibe. I hope you share my taste for \"quick\" pleasures and that this excites you...

  • Anatomy: Based on my initial observations, the vagina and anus give an 'acceptable' result about 50% of the time, unless it's an extreme close-up. Again, there are no edits in the sample photos. For very close shots, you might need to generate a few times until you get a result you like. But I can say with confidence: it definitely knows what an anus and vagina are, right now...
    Note: Please remember that this is NOT a 'vagina/anus enhancer' Lora and it won't work that way; it only serves to carry the necessary standard for the specific action.

  • Camera Angles: Generally, \"facing away from camera\" works flawlessly. Prompts like \"facing the camera over her right shoulder\" do work, but they increase the risk of anatomical errors. Unfortunately, the Klein is very prone to anatomy glitches.

  • Avoiding Problems: None of the images I uploaded are cherry-picked; most are just the result of a few attempts. Don't forget: the model has anatomical issues, so you might need to reroll to get the right hands/feet. It's also quite weak on subjects like car interiors, so getting that specific \"inside the car\" shot might take quite a few regenerations.

  • Feet: Yeah, they are terrible. Sorry. Either avoid describing them or fix them with in-painting.

  • Hands: Even though I used actions like \"pulling panties aside,\" \"spreading buttocks,\" or \"gripping buttocks\" in training, they still give terrible results. Unless you want to generate hundreds in bulk to find a good one or edit them later, I suggest avoiding these terms.

I hope you enjoy the Lora. I'm grateful for any feedback you provide. If you struggle with prompting, let me know, and I can prepare an LLM instruction guide for this Lora. Also, if there's demand, I can share the path I followed for training. Honestly, I wouldn't say no to any inspiration for a new Lora concept either.

Happy creating!

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b/klein-9b/lora/Transparent Clothes (Klein 9b, SDXL)/extra_data-vid_2829653/model_dict-mid_161431-vid_2829653.json @@ -0,0 +1,918 @@ +{ + "id": 161431, + "name": "Transparent Clothes (Klein 9b, SDXL)", + "description": "

V2 is trained with more images hence more versatile and accurate. It can do pubic areas too.

Lora for transparent / see-through /sheer clothing.

Basic Trigger: wearing sheer [clothing (lingerie, nighty, t-shirt etc.)]

Targeting Areas: revealing her breasts underneath, revealing her vulva underneath

Weight: 0.8

❤️ If you like my models, please support me by sending buzz.⚡

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  • It is trained on Realistic Vision 5 but should work with other models too.

  • Check images for prompts.

  • For some types of clothing is hard to trigger, might improve that in next update.

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ULtraReal Breast & Nipple Detailer

  • Works well to add realistic details and most angles and distances.

  • Close up is the strongest tag, skin detail, saggy breasts

  • Xtreme Close can be used for image to image for greatly enhanced detail but is not as broad in terms of text to image generation.

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Flux.2 Klein 9B UPDATE - SEE VERSION DETAILS

QWEN IMAGE EDIT v2511 UPDATE - SEE VERSION DETAILS

Firstly, this is a concept that Qwen Image Edit (and Flux.2 Klein 9B) can do already, kind of. It's pretty good at Outpainting by using the prompt Remove the white parts. You can even add a context image, but for Qwen Image Edit it's not great/doesn't work the best. Look at the examples for ideas of what it can help with. This was trained exclusively on photos, but seems to work for anime as well. Trained using Runpod with help from the Ostris Tutorial Here.

Suggested prompt for all uses: Remove the white parts, use the image for context.

For Uncropping/Outpainting: The intended purpose is to take a cropped image, expand the canvas size higher than the actual image and fill it with white. Use that as Image 1.

Use the image of the persons head as Image 2. I suggest an image of a head that cropped to a square. Maybe rotate it so it makes sense if it were transferred onto Image 1 directly.

If the image quality or even backgrounds are too different between the two images you may need to add additional context like hair color, location, etc, but less details is better in my experience. If you'd like a more unified quality, I had success using this with this Upscale LoRa. You could try other colors but I have not tested with/trained on anything but white.

For Inpainting: You can use photoshop or the white paint from the built in Comfyui Mask Editor, see the below example:

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Suggested tags: remove the white parts, use the image for context

Suggested strength: 1.0

Flux.2 Klein 9B is already very good at doing this without this LoRA. I was quite amazed when testing on/off how many results looked fine without the LoRA. This LoRA still has its use cases in my dataset creation workflow and I spent time and money on Runpod making it so I'll still release it, but feel free to try it with/without. Also tested with colors besides white and it worked fine. My workflow is embedded in all the images again.

Examples generated using flux-2-klein-9b-fp8.safetensors and corresponding fp8 text encoder at around 4-6 steps. Also Flux 2.Klein i2i prompting guide is helpful.

If you are using 9b-base, in my workflow change sampler to euler and increase number of steps.

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v2511 UPDATE!
Trained using Runpod with mostly same dataset as before. This version works quite well, it even removes the weird high contrastyness that 2511 seems to be doing for some reason? You can see in the examples. I'm using the official Comfyui 2511 Workflow however I did merge most of the example images with my workflow (you're welcome) that uses the 2511 fp8 lightning model.

Suggested tags: Remove the white parts, use the image for context. - seems to be more nitpicky about this - with 2511 if I say \"use the image on the right\" it tries to add the person in 2nd image into the right side of the 1st image, also may have to mention the location to prevent the 2nd images background being blended in.

Suggested Sampler: I'm torn between er_sde and sa_solver for samplers, if one doesn't work the way I like it, the other will in my experience.

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Suggested prompt for all uses: Remove the white parts, use the image for context.

For Uncropping/Outpainting: The intended purpose is to take a cropped image, expand the canvas size higher than the actual image and fill it with white. Use that as Image 1.

Use the image of the persons head as Image 2. I suggest an image of a head that cropped to a square. Maybe rotate it so it makes sense if it were transferred onto Image 1 directly.

If the image quality or even backgrounds are too different between the two images you may need to add additional context like hair color, location, etc, but less details is better in my experience.

For Inpainting: You can use photoshop or the white paint from the built in Comfyui Mask Editor, see the description for example image.

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100644 index 0000000000000000000000000000000000000000..75dbdec714aff3e2bc61814a907054a7068f4206 --- /dev/null +++ b/klein-9b/lora/Ultra Real - Klein 9b/extra_data-vid_2778447/124375983.json @@ -0,0 +1,25 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f6bf95df-23bd-43e6-ba22-eeefb12172e2/original=true/124375983.jpeg", + "nsfwLevel": 1, + "width": 1344, + "height": 1728, + "hash": "U7FE.b-;t-Ej%hSi-pWDjEayocofyZOZ?HRk", + "type": "image", + "metadata": { + "hash": "U7FE.b-;t-Ej%hSi-pWDjEayocofyZOZ?HRk", + "size": 435202, + "width": 1344, + "height": 1728, + "nsfwLevelReason": "Knights Vote" + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "A high-quality medium close-up photo with realistic skin texture featuring a young Italian woman in an 18th-century style Venetian Carnival purple gown. Posing in St. Mark’s Square (Piazza San Marco) with the Basilica in the background. Moody, cinematic evening light with street lamps." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/Ultra Real - Klein 9b/extra_data-vid_2778447/124375987.jpeg b/klein-9b/lora/Ultra Real - Klein 9b/extra_data-vid_2778447/124375987.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..6694fbc82a30d5754663e6c665445bcbca6cde23 --- /dev/null +++ b/klein-9b/lora/Ultra Real - Klein 9b/extra_data-vid_2778447/124375987.jpeg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d9f865ee1c6ec5422a099acb44d280a81d3d8bcba44be08c492041e3c40a2544 +size 591701 diff --git a/klein-9b/lora/Ultra Real - Klein 9b/extra_data-vid_2778447/124375987.json b/klein-9b/lora/Ultra Real - Klein 9b/extra_data-vid_2778447/124375987.json new file mode 100644 index 0000000000000000000000000000000000000000..0d0da4e974777ba206e86bed246fd763eefa0850 --- /dev/null +++ b/klein-9b/lora/Ultra Real - Klein 9b/extra_data-vid_2778447/124375987.json @@ -0,0 +1,25 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/9ed3b2d5-807e-471c-8b50-8bf5658c0416/original=true/124375987.jpeg", + "nsfwLevel": 1, + "width": 2048, + "height": 1024, + "hash": "UEDcQ|57s.My?]t7Rk-pK5t6WBtQ-pW;aekB", + "type": "image", + "metadata": { + "hash": "UEDcQ|57s.My?]t7Rk-pK5t6WBtQ-pW;aekB", + "size": 591701, + "width": 2048, + "height": 1024, + "nsfwLevelReason": "Knights Vote" + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "Make this photo high-quality with natural skin texture.\n\nPreserve subject's facial features, expression, figure and pose. Preserve overall composition of this photo." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/Ultra Real - Klein 9b/extra_data-vid_2778447/124375994.jpeg b/klein-9b/lora/Ultra Real - Klein 9b/extra_data-vid_2778447/124375994.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..1677b6d8b715bbb98639fa7a3c2475f5eded8ab3 --- /dev/null +++ b/klein-9b/lora/Ultra Real - Klein 9b/extra_data-vid_2778447/124375994.jpeg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:45f7a1f9681b032dc0efa230691c6840b5070b5c31ddf16702a16e5ac979240d +size 860030 diff --git a/klein-9b/lora/Ultra Real - Klein 9b/extra_data-vid_2778447/124375994.json b/klein-9b/lora/Ultra Real - Klein 9b/extra_data-vid_2778447/124375994.json new file mode 100644 index 0000000000000000000000000000000000000000..7983d9576ff3e73501a5a379e40c39c7be2ca848 --- /dev/null +++ b/klein-9b/lora/Ultra Real - Klein 9b/extra_data-vid_2778447/124375994.json @@ -0,0 +1,25 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/457b124f-8094-4d18-a1ba-abd6a7bc278a/original=true/124375994.jpeg", + "nsfwLevel": 2, + "width": 1806, + "height": 1161, + "hash": "UOHBoCENs:t4D~s;fRWAEjs:ayt7~qR+j[bF", + "type": "image", + "metadata": { + "hash": "UOHBoCENs:t4D~s;fRWAEjs:ayt7~qR+j[bF", + "size": 860030, + "width": 1806, + "height": 1161, + "nsfwLevelReason": "Knights Vote" + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "Make this photo high-quality with natural skin texture.\n\nPreserve subject's facial features, expression, figure and pose. Preserve overall composition of this photo." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/Ultra Real - Klein 9b/extra_data-vid_2778447/model_dict-mid_2462105-vid_2778447.json b/klein-9b/lora/Ultra Real - Klein 9b/extra_data-vid_2778447/model_dict-mid_2462105-vid_2778447.json new file mode 100644 index 0000000000000000000000000000000000000000..688445a41c9f529e21f1037c11cc6adc77676ac6 --- /dev/null +++ b/klein-9b/lora/Ultra Real - Klein 9b/extra_data-vid_2778447/model_dict-mid_2462105-vid_2778447.json @@ -0,0 +1,405 @@ +{ + "id": 2462105, + "name": "Ultra Real - Klein 9b", + "description": "

LoRA designed to reduce the typical smooth/plastic AI look and add more natural skin texture and realism to images. It works especially well for close-ups and medium shots where skin detail is important.

V2 for more real and natural looking skin texture. It is good at preserving skin tone and lighting also.

V1 tends to produce overdone skin texture like more pores and freckles, and it can change lighting and skin tone also.

TIP: You can also use for upscaling too or restoring old photos, which actually intended for. You can upscale old low-res photos or your SD1.5 and SDXL collection. There is \"ScaleToPixels\" node which is set to 2K, you can change this to your liking. I have tested it for 4k Upscaling.

🛠️ Editing Workflow - https://github.com/vizsumit/comfyui-workflows

LoRA Weight: 0.5

V2 Prompt: Make this photo high-quality with natural skin texture. Preserve subject's facial features, expression, figure and pose. Preserve overall composition of this photo.

V1 Prompt: Make this photo high-quality featuring realstic skin texture. Preserve subject's facial features, expression, figure and pose. Preserve overall composition of this photo.

🖼️ Generation Workflow - https://github.com/vizsumit/comfyui-workflows

LoRA Weight: 0.7

V2 Prompt: A high-quality medium close-up photo with realistic skin texture featuring a (your subject...)

V1 Prompt: This is a high-quality photo with realistic skin texture and details of a (your subject...)


Support me on - https://ko-fi.com/vizsumit

Feel free to try it and share results or feedback. 🙂

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She has light blue eyes, long eyelashes, and full, slightly parted pink lips. Her facial features are soft with a subtle blush on her cheeks. She is looking slightly to the right with a neutral, almost contemplative expression. 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❤️ Please Consider Supporting My Work
I love building open tools and LoRA models for everyone. If you find this useful, consider supporting me with a coffee. It helps me create even better and more models!
👉 https://ko-fi.com/vizsumit

LoRA designed to reduce the typical smooth/plastic AI look and add more natural skin texture and realism to images. It works especially well for close-ups and medium shots where skin detail is important.

You can also use for upscaling too or restoring old photos, which actually intended for.

Version Comparison

OVERVIEW = V4: More quality + NSFW detailing support, V3: Professional/Celebrity Skin, V2: Realistic Natural Skin, V1: Too Much Details

V4 is trained on more refined and 50% nsfw dataset, so besides better quality it has NSFW detailing capabilities too. Note: This is only for detailing, for simple nsfw use nsfw words in prompt, for hardcore stuff use other loras with it.

V3 is trained on professional 4K quality images with higher steps. It applies very subtle skin texture which looks more realistic, without producing freckles and burnes.

V2 for more natural looking skin texture than, can produce freckles and moles for some time. It is good at preserving skin tone and lighting also.

V1 tends to produce overdone skin texture like more pores and freckles, and it can change lighting and skin tone also.

🛠️ Editing Workflow - https://github.com/vizsumit/comfyui-workflows

V4 Weight: 0.55, Prompt: Make this photo high-quality. Preserve subject's face, expression, figure and pose. Preserve overall composition of this photo.

V3 Weight: 0.6, Prompt: Make this photo high-quality. Preserve subject's face, expression, figure and pose. Preserve overall composition of this photo.

V2 Weight: 0.6, Prompt: Make this photo high-quality with natural skin texture. Preserve subject's facial features, expression, figure and pose. Preserve overall composition of this photo.

V1 Weight: 0.5, Prompt: Make this photo high-quality featuring realstic skin texture. Preserve subject's facial features, expression, figure and pose. Preserve overall composition of this photo.

🖼️ Generation Workflow - https://github.com/vizsumit/comfyui-workflows

Weight: 0.7-0.8

V4 Prompt: This is a high-quality photograph of a (your subject...)

V3 Prompt: A high-quality photograph of a (your subject...)

V2 Prompt: A high-quality medium close-up photo with realistic skin texture featuring a (your subject...)

V1 Prompt: This is a high-quality photo with realistic skin texture and details of a (your subject...)

Feel free to try it and share results or feedback. 🙂

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I decided to train a LoRA for undressing someone, and this is the first iteration. As of right now it is only trained to remove bikinis and works the best for breasts. Female genitalia is still SUPER finicky, I'll be attempting to fix that with more training, as well as adding capabilities to remove more than just bikinis.

At the moment it can occasionally make the breasts slightly larger and likes to make them more perky, though it typically keeps them consistent with the image. If it doesn't work out try a different seed and it should change.

Trigger phrase for v0.1 - \"remove her bikini\"

This is intended to be used strictly on AI generated images! It also seems to work on anime though that hasn't been extensively tested as of yet.

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name for S&R\": \"SaveImage\", \"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [\"Flux2-Klein-4b-base\"]}, {\"id\": 97, \"type\": \"MarkdownNote\", \"pos\": [-750, 830], \"size\": [610, 650], \"flags\": {}, \"order\": 2, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\\n\\n## Model links (for local users)\\n\\n**diffusion_models**\\n\\n- [flux-2-klein-base-9b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9b-fp8)\\n\\n> Please visit BFL's repo, accept the agreement in the repo, and then download the fp8 model.\\n\\n**text_encoders**\\n\\n- [qwen_3_8b_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-klein-9B/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors)\\n\\n**vae**\\n\\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_3_8b_fp8mixed.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2514\\u2500\\u2500 flux2-vae.safetensors\\n```\\n## Report issue\\n\\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. Desktop/Cloud ship stable builds; nightly-supported models may not be included yet, please wait for the next stable release.\\n\\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\\n\"], \"color\": \"#222\", \"bgcolor\": \"#000\"}, {\"id\": 76, \"type\": \"LoadImage\", \"pos\": [-80, 830], \"size\": [320, 470], \"flags\": {}, \"order\": 3, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"name\": \"IMAGE\", \"type\": \"IMAGE\", \"links\": [155, 169]}, {\"name\": \"MASK\", \"type\": \"MASK\", \"links\": null}], \"properties\": {\"Node name for S&R\": \"LoadImage\", \"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [\"w800_h600_x400_y300_a8214485e73a4414.jpg\", \"image\"]}, {\"id\": 100, \"type\": \"PreviewImage\", \"pos\": [996.7009274117253, 714.1594201632371], \"size\": [735.6829323854827, 564.1189852532427], \"flags\": {}, \"order\": 6, \"mode\": 0, \"inputs\": [{\"name\": \"images\", \"type\": \"IMAGE\", \"link\": 177}], \"outputs\": [], \"properties\": {\"Node name for S&R\": \"PreviewImage\"}, \"widgets_values\": []}, {\"id\": 75, \"type\": \"7b34ab90-36f9-45ba-a665-71d418f0df18\", \"pos\": [311.66672468419983, 830], \"size\": [400, 470], \"flags\": {}, \"order\": 4, \"mode\": 0, \"inputs\": [{\"label\": \"prompt\", \"name\": \"text\", \"type\": \"STRING\", \"widget\": {\"name\": \"text\"}, \"link\": null}, {\"name\": \"image\", \"type\": \"IMAGE\", \"link\": 155}], \"outputs\": [{\"name\": \"IMAGE\", \"type\": \"IMAGE\", \"links\": [177]}], \"properties\": {\"proxyWidgets\": [[\"-1\", \"text\"], [\"-1\", \"unet_name\"], [\"-1\", \"clip_name\"], [\"-1\", \"vae_name\"], [\"73\", \"noise_seed\"], [\"73\", \"control_after_generate\"], [\"-1\", \"$$canvas-image-preview\"]], \"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65}, \"widgets_values\": [\"preserve the overall impression of the image. 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"height": 666, + "nsfwLevelReason": "Knights Vote" + }, + "minor": false, + "poi": false, + "meta": null, + "availability": "Public", + "hasMeta": false, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/Upscale with Flux-Klein - Portrait/extra_data-vid_2640927/model_dict-mid_2347978-vid_2640927.json b/klein-9b/lora/Upscale with Flux-Klein - Portrait/extra_data-vid_2640927/model_dict-mid_2347978-vid_2640927.json new file mode 100644 index 0000000000000000000000000000000000000000..e14a22f9639d03e2dfcdafedf67521a8d2f44b13 --- /dev/null +++ b/klein-9b/lora/Upscale with Flux-Klein - Portrait/extra_data-vid_2640927/model_dict-mid_2347978-vid_2640927.json @@ -0,0 +1,142 @@ +{ + "id": 2347978, + "name": "Upscale with Flux-Klein - Portrait", + "description": "

Upscale small images
trained on pairs 256pix -> 1024pix

YOU must change standard workflow!
The input image (~256pix) must be connected directly to reference-condition (workflow inside PNG)
The use case is the upscale of small images with low resolution.

Always change the image size (your output resolution) by at least 2, preferably 4.
...

...

Flux2.D is quite ok but it is a large model.
Flux-klein-9b is in some conditions okay, this lora push and force upscale portrait images.


Main prompt:

preserve the overall impression of the image. Repair this portrait photo and refine.

oc you can add instructions eg \"looking to the left\", \"change hair color to red\" ...
Sometimes it helps to add a complete image description.

it is not that good for old analog photos, i will train next time.

9b-base-version:
Play with Lora-weight: 0.5 - 1
Play with CFG-Guider: 2 - 4
the distilled version (none base) 4-8 step with cfg 1, is also very impressive


", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit,Rent,Sell}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": true, + "poi": false, + "nsfw": false, + "nsfwLevel": 1, + "availability": "Public", + "userId": 1479508, + "cosmetic": null, + "supportsGeneration": false, + "stats": { + "downloadCount": 189, + "thumbsUpCount": 18, + "thumbsDownCount": 0, + "commentCount": 0, + "tippedAmountCount": 0 + }, + "creator": { + "username": "sevenof9247", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/162d0bd4-6e0c-4eb4-b53a-989c3c334623/width=96/sevenof9247.jpeg" + }, + "tags": [ + "concept" + ], + "modelVersions": [ + { + "id": 2640927, + "index": 0, + "name": "v1.0", + "baseModel": "Flux.2 Klein 9B-base", + "baseModelType": "Standard", + "createdAt": "2026-01-29T15:09:17.514Z", + "publishedAt": "2026-01-29T15:21:42.197Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 1, + "description": "

my first lora

upscale-concept

", + "trainedWords": [ + "preserve the overall impression of the image. 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General Prompt

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Side Note:

  • Briefly tested with SNOFS v1.1 and seems to work well most of the time.

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He is wearing a black leather jacket, white t-shirt, ripped jeans and boots. He has a cocky confident smirk, one hand running through his hair, the other in his pocket, soft even lighting, plain white background.", + "sampler": "res_multistep", + "cfgScale": 1, + "additionalResources": [ + { + "name": "VNSprite.safetensors", + "type": "lora", + "strength": 1 + } + ] + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/Visual Novel Sprite - Flux.2 Klein 9b/extra_data-vid_2870336/model_dict-mid_2554039-vid_2870336.json b/klein-9b/lora/Visual Novel Sprite - Flux.2 Klein 9b/extra_data-vid_2870336/model_dict-mid_2554039-vid_2870336.json new file mode 100644 index 0000000000000000000000000000000000000000..a4c998c6e19a1695564b0b2c02c035d03ceb1336 --- /dev/null +++ b/klein-9b/lora/Visual Novel Sprite - Flux.2 Klein 9b/extra_data-vid_2870336/model_dict-mid_2554039-vid_2870336.json @@ -0,0 +1,368 @@ +{ + "id": 2554039, + "name": "Visual Novel Sprite - Flux.2 Klein 9b", + "description": "

Visual Novel Sprite Character Generator

I'm excited to share my new LoRA trained specifically for generating visual novel style character sprites for both male and female characters.

Important Notes

Recommended Settings

  • Steps: 4–12

  • Sampler: res_multistep (best results)

  • Trigger words: VNsprite, visual novel style, [detailed description in natural English], soft even studio lighting, plain white background

Quality Tips

A lot of work has been done to improve anatomy (especially hands, feet, and arms), but imperfections can still occur. For better results, I recommend:

NSFW Information

  • Female NSFW anatomy is supported and works decently for basic nudity and body display.

  • For more detailed and explicit female anatomy, I strongly recommend using this dedicated NSFW LoRA.

  • Male anatomy has not been trained and is currently not supported.

Training Information

  • Trained on ModelScope Civision

  • Dataset: 100 images

  • First iteration: 100% real sprites from Everlasting Summer + fan-made mods

  • Second iteration (current): 100% synthetic dataset generated from the first model + manual and AI corrections

User Tips – Consistent Character Creation

To create a consistent character across different poses, I highly recommend the following workflow:

  1. First, generate the character in a neutral pose (standing relaxed, arms at sides, neutral expression, full height view).

  2. Then use img2img with the same LoRA, keeping the full character description, but only changing the pose and expression.

Example:

Base generation (txt2img): VNsprite, visual novel style, a young woman with olive skin and a slim delicate build with small perky breasts, straight black hair in a long hime cut and dark brown eyes, wearing a traditional Japanese kimono with obi sash and geta sandals, standing relaxed with her arms on her sides, neutral facial expression, full height view, plain white background, soft even lighting

img2img (pose change): Change her pose to: VNsprite, visual novel style, a young woman with olive skin and a slim delicate build with small perky breasts, straight black hair in a long hime cut and dark brown eyes, wearing a traditional Japanese kimono with obi sash and geta sandals, both hands raised to her cheeks, eyes wide, bright happy smile with slight blush, body slightly leaned forward, full height view, plain white background, soft even lighting

This way the model keeps the character’s appearance almost perfectly consistent (~100% consistency).

Usage Examples

Check the Showcase and Gallery sections for more prompt examples and generated results.

Feel free to experiment and share your creations! Any feedback is highly appreciated. If you will create a game using my Lora - please send the link to my DM :)

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>>> If you think my content is worth it, consider donating to my Patreon or Ko-Fi to help fund the training of new LoRA's or porting existing LoRA's over to other base models! <<<

Trigger Phrase (must be included in the prompt for the full effect)

  • v1: real skin

Recommended inference settings/workflow

  • use the default \"9B Text-to-Image\" ComfyUI workflow (found here) with an added \"Load LoRa\" node and the following settings (which are the default settings for the model as per its HuggingFace page):

  • euler (sampler), 50 steps, cfg 4, 1 megapixel resolution (i.e. 1024x1024 for a 1:1 aspect ratio)

How to prompt:

Ask your LLM of choice to generate you a \"literal, technical\" prompt that is about 2 paragraphs long of which each paragraph has about 4 sentences that are written in a natural language style.

Latest version notes and model page updates:

  • initial release

LoRa description

This LoRa model was designed to improve the skin of people generated in a photorealistic style. It is not perfect. The skin is not perfectly real and it changes the image somewhat. It is still an improvement over the base, however.

Disclaimer:

I do not claim to be the current owner, original creator of, person or legal representative of a person depicted in, any of the concepts that my models, including this one, aim to emulate nor the training data used to train this model. I do not claim that any of my models have received an endorsement by those respective individuals. I also do not claim that the emulation attempted by my models represents a 100% accurate depiction of the original concept in question nor do I claim that the quality of my emulation reaches the same quality of the original concept. All credit goes to the respective current owners, original creators, or people and I encourage you to support them in any way you can.

If you are the current owner, original creator of, person or legal representative of a person depicted in, any of the concepts that any of my models aims to emulate and would like that specific model to be removed, then please leave me a private message here or on Reddit with proof of authenticity of your identity and claim and I will remove it.
Additionally, I do not endorse my models being used to violate the law or enact still legal, but immoral acts such as the spread of misinformation using deep fakes.

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with textured detail", + "Version": "ComfyUI", + "sampler": "Euler", + "cfgScale": 4, + "clipSkip": 1, + "resources": [], + "civitaiResources": [ + { + "type": "checkpoint", + "modelVersionId": 2612548 + } + ] + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/[FLUX.2-klein-base-9B] Better Skin [CONCEPT]/extra_data-vid_2946217/model_dict-mid_2613362-vid_2946217.json b/klein-9b/lora/[FLUX.2-klein-base-9B] Better Skin [CONCEPT]/extra_data-vid_2946217/model_dict-mid_2613362-vid_2946217.json new file mode 100644 index 0000000000000000000000000000000000000000..b0532360366d090b16b7a7f88f036d6561c07f0e --- /dev/null +++ b/klein-9b/lora/[FLUX.2-klein-base-9B] Better Skin [CONCEPT]/extra_data-vid_2946217/model_dict-mid_2613362-vid_2946217.json @@ -0,0 +1,700 @@ +{ + "id": 2613362, + "name": "[FLUX.2-klein-base-9B] Better Skin [CONCEPT]", + "description": "

>>> If you think my content is worth it, consider donating to my Patreon or Ko-Fi to help fund the training of new LoRA's or porting existing LoRA's over to other base models! <<<

Trigger Phrase (must be included in the prompt for the full effect)

  • v2: 'with skin with textured detail'

  • v1: real skin

Recommended inference settings/workflow

  • use the default \"9B Text-to-Image\" ComfyUI workflow (found here) with an added \"Load LoRa\" node and the following settings (which are the default settings for the model as per its HuggingFace page):

  • euler (sampler), 50 steps, cfg 4, 1 megapixel resolution (i.e. 1024x1024 for a 1:1 aspect ratio)

How to prompt:

Ask your LLM of choice to generate you a \"literal, technical\" prompt that is about 2 paragraphs long of which each paragraph has about 4 sentences that are written in a natural language style.

Latest version notes and model page updates:

  • major update, much MUCH better skin, with mostly keeping to the original FLUX style in the rest of the image (although a little bit is lost still)

LoRa description

This LoRa model was designed to improve the skin of people generated in a photorealistic style. It is not perfect. The skin is not perfectly real and it changes the image somewhat. It is still an improvement over the base, however.

Disclaimer:

I do not claim to be the current owner, original creator of, person or legal representative of a person depicted in, any of the concepts that my models, including this one, aim to emulate nor the training data used to train this model. I do not claim that any of my models have received an endorsement by those respective individuals. I also do not claim that the emulation attempted by my models represents a 100% accurate depiction of the original concept in question nor do I claim that the quality of my emulation reaches the same quality of the original concept. All credit goes to the respective current owners, original creators, or people and I encourage you to support them in any way you can.

If you are the current owner, original creator of, person or legal representative of a person depicted in, any of the concepts that any of my models aims to emulate and would like that specific model to be removed, then please leave me a private message here or on Reddit with proof of authenticity of your identity and claim and I will remove it.
Additionally, I do not endorse my models being used to violate the law or enact still legal, but immoral acts such as the spread of misinformation using deep fakes.

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>>>>>>>>>>>>>>>>>>>>>>>>>> Donation links: Patreon or Ko-Fi <<<<<<<<<<<<<<<<<<<<<<<<<<<

Trigger Phrase (must be included in the prompt for the full effect)

  • v12: casual snapshot

  • v11: snapshot photo

Recommended inference settings/workflow

  • use the default \"9B Text-to-Image\" ComfyUI workflow (found here) with an added \"Load LoRa\" node and the following settings (which are the default settings for the model as per its HuggingFace page):

  • euler (sampler), 50 steps, cfg 4, 1 megapixel resolution (1024x1024)

Latest version notes and model page updates:

  • minor changes: better coherence, better flexibility, better style consistency

  • changed recommended inference settings

LoRa description

This LoRa model was designed to generate images that look like casual snapshot photos taken with a Samsung Galaxy A52 smartphone.

Disclaimer:

I do not claim to be the current owner, original creator of, person or legal representative of a person depicted in, any of the concepts that my models, including this one, aim to emulate nor the training data used to train this model. I do not claim that any of my models have received an endorsement by those respective individuals. I also do not claim that the emulation attempted by my models represents a 100% accurate depiction of the original concept in question nor do I claim that the quality of my emulation reaches the same quality of the original concept. All credit goes to the respective current owners, original creators, or people and I encourage you to support them in any way you can.

If you are the current owner, original creator of, person or legal representative of a person depicted in, any of the concepts that any of my models aims to emulate and would like that specific model to be removed, then please leave me a private message here or on Reddit with proof of authenticity of your identity and claim and I will remove it.
Additionally, I do not endorse my models being used to violate the law or enact still legal, but immoral acts such as the spread of misinformation using deep fakes.

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[STYLE]/extra_data-vid_2832437/model_dict-mid_2381927-vid_2832437.json @@ -0,0 +1,954 @@ +{ + "id": 2381927, + "name": "[FLUX.2-klein-base-9B] Smartphone Snapshot Photo Reality [STYLE]", + "description": "

>>>>>>>>>>>>>>>>>>>>>>>>>> Donation links: Patreon or Ko-Fi <<<<<<<<<<<<<<<<<<<<<<<<<<<

Trigger Phrase (must be included in the prompt for the full effect)

  • v12: casual snapshot

  • v11: snapshot photo

Recommended inference settings/workflow

  • use the default \"9B Text-to-Image\" ComfyUI workflow (found here) with an added \"Load LoRa\" node and the following settings (which are the default settings for the model as per its HuggingFace page):

  • euler (sampler), 50 steps, cfg 4, 1 megapixel resolution (1024x1024)

Latest version notes and model page updates:

  • minor changes: better coherence, better flexibility, better style consistency

  • changed recommended inference settings

LoRa description

This LoRa model was designed to generate images that look like casual snapshot photos taken with a Samsung Galaxy A52 smartphone.

Disclaimer:

I do not claim to be the current owner, original creator of, person or legal representative of a person depicted in, any of the concepts that my models, including this one, aim to emulate nor the training data used to train this model. I do not claim that any of my models have received an endorsement by those respective individuals. I also do not claim that the emulation attempted by my models represents a 100% accurate depiction of the original concept in question nor do I claim that the quality of my emulation reaches the same quality of the original concept. All credit goes to the respective current owners, original creators, or people and I encourage you to support them in any way you can.

If you are the current owner, original creator of, person or legal representative of a person depicted in, any of the concepts that any of my models aims to emulate and would like that specific model to be removed, then please leave me a private message here or on Reddit with proof of authenticity of your identity and claim and I will remove it.
Additionally, I do not endorse my models being used to violate the law or enact still legal, but immoral acts such as the spread of misinformation using deep fakes.

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"name": "[Flux2Klein 9B] Anything2Real lrzjason", + "description": "

RH Invite Code:

https://www.runninghub.ai/?inviteCode=rh-v1279

New user with 1000 free RH credit

All my workflow and models are avaible on RunningHub

F2K 9B Anything2Real A

New version of Anything2Real on F2K model.

Based on previous version, adjusted the style to more realistic and less 3D

Flux2 Klein 9B

Based on strong transformation ablitiy on Flux2 Klein 9B

The new anything2real lora adjusted aesthetic and image fidelity

Prompt:

transform the image into high quality realistic photograph. {male/female}

The model mostly trained on female images. Please add male if the input image is male.

Lora strength:

0.8-1

The lora tends to be a little bit more \"3D\" use less strength to gain more realistic from base model.

RH App One Click Transform Image:

https://www.runninghub.ai/ai-detail/2016070515554783233/?inviteCode=rh-v1279

RH Workflow:

https://www.runninghub.ai/post/2016060164108980226/?inviteCode=rh-v1279

RH Comparer with base:

https://www.runninghub.ai/ai-detail/2016075121722658818/?inviteCode=rh-v1279

RH Workflow:

https://www.runninghub.ai/post/2016072419668140033/?inviteCode=rh-v1279

Hugging Face:

https://huggingface.co/lrzjason/Anything2Real/tree/main

f2k_anything2real.safetensors

Qwen Edit 2511

RH APP:

https://www.runninghub.ai/ai-detail/2007507982543757313/?inviteCode=rh-v1279

RH online workflow:

https://www.runninghub.ai/post/2007432627858444289/?inviteCode=rh-v1279

Anything2Real 2601 A is an adjusted version which mixed alpha more and with extra weight adjustment based on 2601. It produces stronger transformation between image and realistic.

This LoRA, built on Qwen-Edit 2511, incrementally maps images of any visual style into the photographic domain. The training objective is to minimize perceptual distance rather than to perform pixel-level reconstruction.

Training Protocol

Dataset

  • 7 style-paired subsets, 200 source images ≥ 1024 px, covering portraits, landscapes, and objects.

Training Pipeline

  • Two-stage tuning: (a) trigger-word + long-caption pairs, (b) trigger-word only.

  • Layer-wise merge with Anything2Real α; weights manually tuned to preserve low-frequency structure while replacing high-frequency texture.

Recommended Positive Prompt

transform the image to realistic photograph. {detailed description}

Note: {detailed description} is optional. Style-related tokens such as “anime”, “cyber”, or “oil-painting” are strictly forbidden; their inclusion will inject out-of-domain noise.

Strength Tuning

  • Default range: 0.8–1.0.

  • If over-smoothing or texture loss occurs, decrease in 0.1 steps down to 0.5.

  • Should realism remain insufficient, blend with an additional photorealistic LoRA and adjust to taste.

Because “realism” is inherently subjective, first modulate strength or switch base models rather than further increasing the LoRA weight.

Contact

Feel free to reach out via any of the following channels:

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RH Invite Code:

https://www.runninghub.ai/?inviteCode=rh-v1279

New user with 1000 free RH credit

All my workflow and models are avaible on RunningHub

F2K 9B Anything2Real A

New version of Anything2Real on F2K model.

Based on previous version, adjusted the style to more realistic and less 3D

Flux2 Klein 9B

Based on strong transformation ablitiy on Flux2 Klein 9B

The new anything2real lora adjusted aesthetic and image fidelity

Prompt:

transform the image into high quality realistic photograph. {male/female}

The model mostly trained on female images. Please add male if the input image is male.

Lora strength:

0.8-1

The lora tends to be a little bit more \"3D\" use less strength to gain more realistic from base model.

RH App One Click Transform Image:

https://www.runninghub.ai/ai-detail/2016070515554783233/?inviteCode=rh-v1279

RH Workflow:

https://www.runninghub.ai/post/2016060164108980226/?inviteCode=rh-v1279

RH Comparer with base:

https://www.runninghub.ai/ai-detail/2016075121722658818/?inviteCode=rh-v1279

RH Workflow:

https://www.runninghub.ai/post/2016072419668140033/?inviteCode=rh-v1279

Hugging Face:

https://huggingface.co/lrzjason/Anything2Real/tree/main

f2k_anything2real.safetensors

Qwen Edit 2511

RH APP:

https://www.runninghub.ai/ai-detail/2007507982543757313/?inviteCode=rh-v1279

RH online workflow:

https://www.runninghub.ai/post/2007432627858444289/?inviteCode=rh-v1279

Anything2Real 2601 A is an adjusted version which mixed alpha more and with extra weight adjustment based on 2601. It produces stronger transformation between image and realistic.

This LoRA, built on Qwen-Edit 2511, incrementally maps images of any visual style into the photographic domain. The training objective is to minimize perceptual distance rather than to perform pixel-level reconstruction.

Training Protocol

Dataset

  • 7 style-paired subsets, 200 source images ≥ 1024 px, covering portraits, landscapes, and objects.

Training Pipeline

  • Two-stage tuning: (a) trigger-word + long-caption pairs, (b) trigger-word only.

  • Layer-wise merge with Anything2Real α; weights manually tuned to preserve low-frequency structure while replacing high-frequency texture.

Recommended Positive Prompt

transform the image to realistic photograph. {detailed description}

Note: {detailed description} is optional. Style-related tokens such as “anime”, “cyber”, or “oil-painting” are strictly forbidden; their inclusion will inject out-of-domain noise.

Strength Tuning

  • Default range: 0.8–1.0.

  • If over-smoothing or texture loss occurs, decrease in 0.1 steps down to 0.5.

  • Should realism remain insufficient, blend with an additional photorealistic LoRA and adjust to taste.

Because “realism” is inherently subjective, first modulate strength or switch base models rather than further increasing the LoRA weight.

Contact

Feel free to reach out via any of the following channels:

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fade, subtle light leaks and soft vignette edges, minor imperfections like real 1990s Polaroid photo, photorealistic textures on slider surface and text sharpness, nostalgic yet high-tech vibe\n\n\n============================================\n\nStatic close-up shot, horizontal detail slider UI: knob starts at left Clean position → slowly moves right to Detail Explosion position over exactly 5 seconds, no camera movement, only the knob slides realistically with metallic reflections\n\nSimultaneous visual morph: image begins as first frame clean/low-detail version → progressively transforms to second frame high-detail/exploded version in perfect sync with knob position — grain intensifies, chromatic aberration strengthens, blue glow appears and brightens along bar, light leaks and halation grow, detail explosion blooms fully at end, consistent heavy film grain and vignette, smooth coherent transition, analog film aesthetic\n", + "negativePrompt": 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"metadata": { + "hash": "UjGIlyt7%Nog~qj]tRof%gWBoLkCtRj@s:of", + "size": 1700994, + "width": 928, + "height": 1360, + "nsfwLevelReason": "Knights Vote" + }, + "minor": false, + "poi": false, + "meta": { + "seed": 48, + "vaes": [ + "Flux/flux2-vae.safetensors" + ], + "comfy": "{\"prompt\": {\"76\": {\"inputs\": {\"image\": \"ER_00038_.png\"}, \"class_type\": \"LoadImage\", \"_meta\": {\"title\": \"Load Image\"}, \"is_changed\": [\"0f0eb32410996669bcaac4e297624378fad75102e2b3caed4ee9b29464a0c9f0\"]}, \"109\": {\"inputs\": {\"text\": \"## Wintry Battle Scene\\n\\n### Subject Composition & Setting\\n\\n- A photograph of a young, fair-skinned woman with striking blue eyes and platinum blonde hair, partially covered by a black, high-collared leather cloak. She holds a rusted, ornate sword with a brass hilt in her right hand, positioned in front of her face.\\n\\n### Lighting & Atmosphere\\n\\n- Snowflakes are scattered on her cloak and the sword, creating a wintery atmosphere. The background is a blurred, wintry landscape with a cloudy sky and indistinct trees.\\n\\n### Colors & Textures\\n\\n- The cloak is black and has a smooth yet slightly worn texture. The sword has a rusted appearance with a brass hilt.\\n\\n### Action & State\\n\\n- The woman's expression is intense and focused, with slightly parted lips and a few freckles visible on her cheeks. Her gloves-covered hands grip the sword tightly, showing her determination and readiness for battle.\\n\\n### Text Elements\\n\\n- None present in the image.\\n\\n### Facial Expression & Body Position\\n\\n- She has an intense, focused expression on her face, with her lips slightly parted and a few freckles visible on her cheeks. Her body is posed with a sense of readiness for battle, holding the sword in front of her face with her right hand. The overall mood is one of determination and readiness for battle.\"}, \"class_type\": \"Text Multiline\", \"_meta\": {\"title\": \"Text Multiline\"}}, \"134\": {\"inputs\": {\"filename_prefix\": \"KLEIN-SLIDER/p-0\", \"images\": [\"135:65\", 0]}, \"class_type\": \"SaveImage\", \"_meta\": {\"title\": \"Save Image\"}}, \"135:64\": {\"inputs\": {\"noise\": [\"135:73\", 0], \"guider\": [\"135:63\", 0], \"sampler\": [\"135:61\", 0], \"sigmas\": [\"135:62\", 0], \"latent_image\": [\"135:66\", 0]}, \"class_type\": \"SamplerCustomAdvanced\", \"_meta\": {\"title\": \"SamplerCustomAdvanced\"}}, \"135:65\": {\"inputs\": {\"samples\": [\"135:64\", 0], \"vae\": [\"135:72\", 0]}, \"class_type\": \"VAEDecode\", \"_meta\": {\"title\": \"VAE Decode\"}}, \"135:86\": {\"inputs\": {\"conditioning\": [\"135:74\", 0]}, \"class_type\": \"ConditioningZeroOut\", \"_meta\": {\"title\": \"ConditioningZeroOut\"}}, \"135:66\": {\"inputs\": {\"width\": [\"135:81\", 0], \"height\": [\"135:81\", 1], \"batch_size\": 1}, \"class_type\": \"EmptyFlux2LatentImage\", \"_meta\": {\"title\": \"Empty Flux 2 Latent\"}}, \"135:81\": {\"inputs\": {\"image\": [\"76\", 0]}, \"class_type\": \"GetImageSize\", \"_meta\": {\"title\": \"Get Image Size\"}}, \"135:74\": {\"inputs\": {\"text\": [\"109\", 0], \"clip\": [\"135:71\", 0]}, \"class_type\": \"CLIPTextEncode\", \"_meta\": {\"title\": \"CLIP Text Encode (Positive Prompt)\"}}, \"135:70\": {\"inputs\": {\"unet_name\": \"Flux/flux-2-klein-9b-nvfp4.safetensors\", \"weight_dtype\": \"default\"}, \"class_type\": \"UNETLoader\", \"_meta\": {\"title\": \"Load Diffusion Model\"}}, \"135:72\": {\"inputs\": {\"vae_name\": \"Flux/flux2-vae.safetensors\"}, \"class_type\": \"VAELoader\", \"_meta\": {\"title\": \"Load VAE\"}}, \"135:71\": {\"inputs\": {\"clip_name\": \"qwen_3_8b_fp8mixed.safetensors\", \"type\": \"flux2\", \"device\": \"default\"}, \"class_type\": \"CLIPLoader\", \"_meta\": {\"title\": \"Load CLIP\"}}, \"135:62\": {\"inputs\": {\"steps\": 20, \"width\": [\"135:81\", 0], \"height\": [\"135:81\", 1]}, \"class_type\": \"Flux2Scheduler\", \"_meta\": {\"title\": \"Flux2Scheduler\"}}, \"135:93\": {\"inputs\": {\"lora_name\": \"KLEIN/Klein9B-Detail-Slider_v1.safetensors\", \"strength_model\": -3.0, \"strength_clip\": -3.0, \"model\": [\"135:70\", 0], \"clip\": [\"135:71\", 0]}, \"class_type\": \"Lora Loader\", \"_meta\": {\"title\": \"Lora Loader\"}}, \"135:96\": {\"inputs\": {\"float_\": -3}, \"class_type\": \"CR Float To String\", \"_meta\": {\"title\": \"\\ud83d\\udd27 CR Float To String\"}}, \"135:94\": {\"inputs\": {\"string_a\": \"kLEIN-DETAIL/\", \"string_b\": \"2\", \"delimiter\": \"\"}, \"class_type\": \"StringConcatenate\", \"_meta\": {\"title\": \"Concatenate\"}}, \"135:63\": {\"inputs\": {\"cfg\": 1.0, \"model\": [\"135:93\", 0], \"positive\": [\"135:74\", 0], \"negative\": [\"135:86\", 0]}, \"class_type\": \"CFGGuider\", \"_meta\": {\"title\": \"CFGGuider\"}}, \"135:61\": {\"inputs\": {\"sampler_name\": \"euler\"}, \"class_type\": \"KSamplerSelect\", \"_meta\": {\"title\": \"KSamplerSelect\"}}, \"135:73\": {\"inputs\": {\"noise_seed\": 48}, \"class_type\": \"RandomNoise\", \"_meta\": {\"title\": \"RandomNoise\"}}}, \"workflow\": {\"id\": \"92112d97-bb64-4b44-86f2-ea5691ef8f6e\", \"revision\": 0, \"last_node_id\": 157, \"last_link_id\": 362, \"nodes\": [{\"id\": 76, \"type\": \"LoadImage\", \"pos\": [-120, 610], \"size\": [320, 565.763905843099], \"flags\": {}, \"order\": 0, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"name\": \"IMAGE\", \"type\": \"IMAGE\", \"links\": [282]}, {\"name\": \"MASK\", \"type\": \"MASK\", \"links\": null}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"Node name for S&R\": \"LoadImage\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"widget_ue_connectable\": {\"image\": true, \"upload\": true}, 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\"0.8.2\", \"Node name for S&R\": \"LoadImage\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"widget_ue_connectable\": {\"image\": true, \"upload\": true}, \"version\": \"7.5.2\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"2026-01-21 18-28-01.png\", \"image\"]}, {\"id\": 109, \"type\": \"Text Multiline\", \"pos\": [-710, 620], \"size\": [570, 570], \"flags\": {}, \"order\": 4, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"name\": \"STRING\", \"type\": \"STRING\", \"links\": [281]}], \"properties\": {\"cnr_id\": \"was-ns\", \"ver\": \"afeee09ba44e713ec52a413ac6b105fd06b2d356\", \"Node name for S&R\": \"Text Multiline\"}, \"widgets_values\": [\"## Wintry Battle Scene\\n\\n### Subject Composition & Setting\\n\\n- A photograph of a young, fair-skinned woman with striking blue eyes and platinum blonde hair, partially covered by a black, high-collared leather cloak. She holds a rusted, ornate sword with a brass hilt in her right hand, positioned in front of her face.\\n\\n### Lighting & Atmosphere\\n\\n- Snowflakes are scattered on her cloak and the sword, creating a wintery atmosphere. The background is a blurred, wintry landscape with a cloudy sky and indistinct trees.\\n\\n### Colors & Textures\\n\\n- The cloak is black and has a smooth yet slightly worn texture. The sword has a rusted appearance with a brass hilt.\\n\\n### Action & State\\n\\n- The woman's expression is intense and focused, with slightly parted lips and a few freckles visible on her cheeks. Her gloves-covered hands grip the sword tightly, showing her determination and readiness for battle.\\n\\n### Text Elements\\n\\n- None present in the image.\\n\\n### Facial Expression & Body Position\\n\\n- She has an intense, focused expression on her face, with her lips slightly parted and a few freckles visible on her cheeks. Her body is posed with a sense of readiness for battle, holding the sword in front of her face with her right hand. The overall mood is one of determination and readiness for battle.\"]}, {\"id\": 134, \"type\": \"SaveImage\", \"pos\": [820, 620], \"size\": [416.6666666666667, 697.3472086588542], \"flags\": {}, \"order\": 6, \"mode\": 0, \"inputs\": [{\"name\": \"images\", \"type\": \"IMAGE\", \"link\": 279}], \"outputs\": [], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"Node name for S&R\": \"SaveImage\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"widget_ue_connectable\": {\"filename_prefix\": true}, \"version\": \"7.5.2\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"KLEIN-SLIDER/p-0\"]}, {\"id\": 135, \"type\": \"5a2b29eb-fd73-425b-9ce2-cd956a640915\", \"pos\": [310, 620], \"size\": [410, 877.551724137931], \"flags\": {}, \"order\": 5, \"mode\": 0, \"inputs\": [{\"label\": \"prompt\", \"name\": \"text\", \"type\": \"STRING\", \"widget\": {\"name\": \"text\"}, \"link\": 281}, {\"label\": \"reference_image1\", \"name\": \"image\", \"type\": \"IMAGE\", \"link\": 282}, {\"label\": \"reference_image2\", \"name\": \"image_1\", \"type\": \"IMAGE\", \"link\": 283}, {\"label\": \"reference_image3\", \"name\": \"image_2\", \"type\": \"IMAGE\", \"link\": 284}, {\"label\": \"reference_image4\", \"name\": \"image_3\", \"type\": \"IMAGE\", \"link\": 285}, {\"label\": \"str\", \"name\": \"float_\", \"type\": \"FLOAT\", \"widget\": {\"name\": \"float_\"}, \"link\": null}], \"outputs\": [{\"name\": \"IMAGE\", \"type\": \"IMAGE\", \"links\": [279]}, {\"name\": \"STRING\", \"type\": \"STRING\", \"links\": []}], \"properties\": {\"proxyWidgets\": [[\"-1\", \"text\"], [\"73\", \"control_after_generate\"], [\"-1\", \"unet_name\"], [\"-1\", \"clip_name\"], [\"-1\", \"float_\"], [\"-1\", \"vae_name\"], [\"93\", \"lora_name\"], [\"-1\", \"vhslatentpreview\"]], \"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"widget_ue_connectable\": {\"unet_name\": true, \"clip_name\": true, \"vae_name\": true, \"text\": true}, \"version\": \"7.5.2\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"## Subject Composition & Setting\\n\\n- The main focus of the image is a figure wearing a hooded cloak, facing a menacing dragon in a fantastical landscape. The figure is seen from behind, with their arms slightly outstretched and their body tense, showing anticipation or fear. The dragon is massive and hovers above them, its wings spread wide, revealing a red underbelly. Its large, red eyes are fixed on the figure, and its sharp, jagged horns curve towards the sky. The dragon's mouth is open in a snarl, revealing sharp teeth.\\n\\n## Composition & Setting\\n\\n- The scene takes place in a misty, mountainous landscape with snow-covered peaks in the distance. The rocky ground beneath the figure is uneven and dark, with a rough, textured appearance. The dragon looms over the figure, creating a sense of tension and danger.\\n\\n## Lighting & Atmosphere\\n\\n- The overall color palette is dark and moody, with shades of gray, green, and red dominating the scene. The lighting is low, casting shadows across the rugged terrain and highlighting the dragon's sharp features. The misty background adds depth and mystery to the image.\\n\\n## Colors & Textures\\n\\n- The figure's cloak is dark green with a red inner lining. The outer cloak has a textured, patterned design of dark green and brown, giving it a worn and weathered appearance. The dragon's scales are dark gray, with a slight iridescence that catches the light. Its large, red eyes stand out against its scaly surface.\\n\\n## Text Elements\\n\\n- None present in the image.\\n\", null, \"Flux/flux-2-klein-9b-nvfp4.safetensors\", \"qwen_3_8b_fp8mixed.safetensors\", -3, \"Flux/flux2-vae.safetensors\"]}], \"links\": [[279, 135, 0, 134, 0, \"IMAGE\"], [281, 109, 0, 135, 0, \"STRING\"], [282, 76, 0, 135, 1, \"IMAGE\"], [283, 81, 0, 135, 2, \"IMAGE\"], [284, 99, 0, 135, 3, \"IMAGE\"], [285, 100, 0, 135, 4, \"IMAGE\"]], \"groups\": [{\"id\": 19, \"title\": \"Multiple input example\\uff08Select all nodes then Ctrl-B to enable/disable\\uff09\", \"bounding\": [240, 550, 1000, 970], \"color\": \"#3f789e\", \"font_size\": 24, \"flags\": {}}], \"definitions\": {\"subgraphs\": [{\"id\": \"5a2b29eb-fd73-425b-9ce2-cd956a640915\", \"version\": 1, \"state\": {\"lastGroupId\": 4, \"lastNodeId\": 96, \"lastLinkId\": 218, \"lastRerouteId\": 0}, \"revision\": 0, \"config\": {}, \"name\": \"Image Edit (Flux.2 Klein 9B Distilled)\", \"inputNode\": {\"id\": -10, 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Setting\\n\\n- The main focus of the image is a figure wearing a hooded cloak, facing a menacing dragon in a fantastical landscape. 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She holds a rusted, ornate sword with a brass hilt in her right hand, positioned in front of her face.\n\n### Lighting & Atmosphere\n\n- Snowflakes are scattered on her cloak and the sword, creating a wintery atmosphere. The background is a blurred, wintry landscape with a cloudy sky and indistinct trees.\n\n### Colors & Textures\n\n- The cloak is black and has a smooth yet slightly worn texture. The sword has a rusted appearance with a brass hilt.\n\n### Action & State\n\n- The woman's expression is intense and focused, with slightly parted lips and a few freckles visible on her cheeks. Her gloves-covered hands grip the sword tightly, showing her determination and readiness for battle.\n\n### Text Elements\n\n- None present in the image.\n\n### Facial Expression & Body Position\n\n- She has an intense, focused expression on her face, with her lips slightly parted and a few freckles visible on her cheeks. Her body is posed with a sense of readiness for battle, holding the sword in front of her face with her right hand. The overall mood is one of determination and readiness for battle.", + "sampler": "Euler" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/[KLEIN 9b] Detail Slider/extra_data-vid_2741947/123095915.jpeg b/klein-9b/lora/[KLEIN 9b] Detail Slider/extra_data-vid_2741947/123095915.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..17c2dd942fa8ecd8bdf93807e2b860a75c76c4a7 --- /dev/null +++ b/klein-9b/lora/[KLEIN 9b] Detail Slider/extra_data-vid_2741947/123095915.jpeg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:98265faa3f294e7bb2e11069dd46beaa107abff9077e746d28096cb676f768df +size 2240101 diff --git a/klein-9b/lora/[KLEIN 9b] Detail Slider/extra_data-vid_2741947/123095915.json b/klein-9b/lora/[KLEIN 9b] Detail Slider/extra_data-vid_2741947/123095915.json new file mode 100644 index 0000000000000000000000000000000000000000..b6d4701342538c1a64864320303245228665bf35 --- /dev/null +++ b/klein-9b/lora/[KLEIN 9b] Detail Slider/extra_data-vid_2741947/123095915.json @@ -0,0 +1,30 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/301c9b89-b410-4c4b-ad18-5835d5a5a7be/original=true/123095915.jpeg", + "nsfwLevel": 1, + "width": 928, + "height": 1360, + "hash": "UaDcUNt7tloz~qj[o#of%gWBoLj[tRays:of", + "type": "image", + "metadata": { + "hash": "UaDcUNt7tloz~qj[o#of%gWBoLj[tRays:of", + "size": 2240101, + "width": 928, + "height": 1360 + }, + "minor": false, + "poi": false, + "meta": { + "seed": 48, + "vaes": [ + "Flux/flux2-vae.safetensors" + ], + "comfy": "{\"prompt\": {\"76\": {\"inputs\": {\"image\": \"ER_00038_.png\"}, \"class_type\": \"LoadImage\", \"_meta\": {\"title\": \"Load Image\"}, \"is_changed\": [\"0f0eb32410996669bcaac4e297624378fad75102e2b3caed4ee9b29464a0c9f0\"]}, \"109\": {\"inputs\": {\"text\": \"## Wintry Battle Scene\\n\\n### Subject Composition & Setting\\n\\n- A photograph of a young, fair-skinned woman with striking blue eyes and platinum blonde hair, partially covered by a black, high-collared leather cloak. 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She holds a rusted, ornate sword with a brass hilt in her right hand, positioned in front of her face.\\n\\n### Lighting & Atmosphere\\n\\n- Snowflakes are scattered on her cloak and the sword, creating a wintery atmosphere. The background is a blurred, wintry landscape with a cloudy sky and indistinct trees.\\n\\n### Colors & Textures\\n\\n- The cloak is black and has a smooth yet slightly worn texture. The sword has a rusted appearance with a brass hilt.\\n\\n### Action & State\\n\\n- The woman's expression is intense and focused, with slightly parted lips and a few freckles visible on her cheeks. Her gloves-covered hands grip the sword tightly, showing her determination and readiness for battle.\\n\\n### Text Elements\\n\\n- None present in the image.\\n\\n### Facial Expression & Body Position\\n\\n- She has an intense, focused expression on her face, with her lips slightly parted and a few freckles visible on her cheeks. Her body is posed with a sense of readiness for battle, holding the sword in front of her face with her right hand. The overall mood is one of determination and readiness for battle.\"]}, {\"id\": 134, \"type\": \"SaveImage\", \"pos\": [820, 620], \"size\": [416.6666666666667, 697.3472086588542], \"flags\": {}, \"order\": 6, \"mode\": 0, \"inputs\": [{\"name\": \"images\", \"type\": \"IMAGE\", \"link\": 279}], \"outputs\": [], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"Node name for S&R\": \"SaveImage\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"widget_ue_connectable\": {\"filename_prefix\": true}, \"version\": \"7.5.2\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"KLEIN-SLIDER/p-0\"]}, {\"id\": 135, \"type\": \"5a2b29eb-fd73-425b-9ce2-cd956a640915\", \"pos\": [310, 620], \"size\": [410, 877.551724137931], \"flags\": {}, \"order\": 5, \"mode\": 0, \"inputs\": [{\"label\": \"prompt\", \"name\": \"text\", \"type\": \"STRING\", \"widget\": {\"name\": \"text\"}, \"link\": 281}, {\"label\": \"reference_image1\", \"name\": \"image\", \"type\": \"IMAGE\", \"link\": 282}, {\"label\": \"reference_image2\", \"name\": \"image_1\", \"type\": \"IMAGE\", \"link\": 283}, {\"label\": \"reference_image3\", \"name\": \"image_2\", \"type\": \"IMAGE\", \"link\": 284}, {\"label\": \"reference_image4\", \"name\": \"image_3\", \"type\": \"IMAGE\", \"link\": 285}, {\"label\": \"str\", \"name\": \"float_\", \"type\": \"FLOAT\", \"widget\": {\"name\": \"float_\"}, \"link\": null}], \"outputs\": [{\"name\": \"IMAGE\", \"type\": \"IMAGE\", \"links\": [279]}, {\"name\": \"STRING\", \"type\": \"STRING\", \"links\": []}], \"properties\": {\"proxyWidgets\": [[\"-1\", \"text\"], [\"73\", \"control_after_generate\"], [\"-1\", \"unet_name\"], [\"-1\", \"clip_name\"], [\"-1\", \"float_\"], [\"-1\", \"vae_name\"], [\"93\", \"lora_name\"]], \"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"widget_ue_connectable\": {\"unet_name\": true, \"clip_name\": true, \"vae_name\": true, \"text\": true}, \"version\": \"7.5.2\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"## Subject Composition & Setting\\n\\n- The main focus of the image is a figure wearing a hooded cloak, facing a menacing dragon in a fantastical landscape. The figure is seen from behind, with their arms slightly outstretched and their body tense, showing anticipation or fear. The dragon is massive and hovers above them, its wings spread wide, revealing a red underbelly. Its large, red eyes are fixed on the figure, and its sharp, jagged horns curve towards the sky. The dragon's mouth is open in a snarl, revealing sharp teeth.\\n\\n## Composition & Setting\\n\\n- The scene takes place in a misty, mountainous landscape with snow-covered peaks in the distance. The rocky ground beneath the figure is uneven and dark, with a rough, textured appearance. The dragon looms over the figure, creating a sense of tension and danger.\\n\\n## Lighting & Atmosphere\\n\\n- The overall color palette is dark and moody, with shades of gray, green, and red dominating the scene. The lighting is low, casting shadows across the rugged terrain and highlighting the dragon's sharp features. The misty background adds depth and mystery to the image.\\n\\n## Colors & Textures\\n\\n- The figure's cloak is dark green with a red inner lining. The outer cloak has a textured, patterned design of dark green and brown, giving it a worn and weathered appearance. The dragon's scales are dark gray, with a slight iridescence that catches the light. Its large, red eyes stand out against its scaly surface.\\n\\n## Text Elements\\n\\n- None present in the image.\\n\", null, \"Flux/flux-2-klein-9b-nvfp4.safetensors\", \"qwen_3_8b_fp8mixed.safetensors\", 6, \"Flux/flux2-vae.safetensors\"]}], \"links\": [[279, 135, 0, 134, 0, \"IMAGE\"], [281, 109, 0, 135, 0, \"STRING\"], [282, 76, 0, 135, 1, \"IMAGE\"], [283, 81, 0, 135, 2, \"IMAGE\"], [284, 99, 0, 135, 3, \"IMAGE\"], [285, 100, 0, 135, 4, \"IMAGE\"]], \"groups\": [{\"id\": 19, \"title\": \"Multiple input example\\uff08Select all nodes then Ctrl-B to enable/disable\\uff09\", \"bounding\": [240, 550, 1000, 970], \"color\": \"#3f789e\", \"font_size\": 24, \"flags\": {}}], \"definitions\": {\"subgraphs\": [{\"id\": \"5a2b29eb-fd73-425b-9ce2-cd956a640915\", \"version\": 1, \"state\": {\"lastGroupId\": 4, \"lastNodeId\": 96, \"lastLinkId\": 218, \"lastRerouteId\": 0}, \"revision\": 0, \"config\": {}, \"name\": \"Image Edit (Flux.2 Klein 9B Distilled)\", \"inputNode\": {\"id\": -10, 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\"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"widget_ue_connectable\": {}, \"version\": \"7.5.2\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": []}, {\"id\": 85, \"type\": \"ImageScaleToTotalPixels\", \"pos\": [-465.02777099609375, 1390.5416870117188], \"size\": [270, 106], \"flags\": {}, \"order\": 16, \"mode\": 4, \"inputs\": [{\"localized_name\": \"image\", \"name\": \"image\", \"type\": \"IMAGE\", \"link\": 198}], \"outputs\": [{\"localized_name\": \"IMAGE\", \"name\": \"IMAGE\", \"type\": \"IMAGE\", \"links\": [180]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"Node name for S&R\": \"ImageScaleToTotalPixels\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"widget_ue_connectable\": {}, \"version\": 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\"mode\": 4, \"inputs\": [{\"label\": \"positive\", \"name\": \"conditioning\", \"type\": \"CONDITIONING\", \"link\": 194}, {\"label\": \"negative\", \"name\": \"conditioning_1\", \"type\": \"CONDITIONING\", \"link\": 195}, {\"name\": \"pixels\", \"type\": \"IMAGE\", \"link\": 193}, {\"name\": \"vae\", \"type\": \"VAE\", \"link\": 202}], \"outputs\": [{\"label\": \"positive\", \"name\": \"CONDITIONING\", \"type\": \"CONDITIONING\", \"links\": [196]}, {\"label\": \"negative\", \"name\": \"CONDITIONING_1\", \"type\": \"CONDITIONING\", \"links\": [197]}], \"properties\": {\"proxyWidgets\": [], \"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"widget_ue_connectable\": {}, \"version\": \"7.5.2\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": []}, {\"id\": 74, \"type\": \"CLIPTextEncode\", \"pos\": [-34.69444274902344, 228.81944020589194], \"size\": [441.6666666666667, 88], \"flags\": {\"collapsed\": true}, \"order\": 11, \"mode\": 0, \"inputs\": [{\"localized_name\": \"clip\", \"name\": \"clip\", \"type\": \"CLIP\", \"link\": 151}, {\"localized_name\": \"text\", \"name\": \"text\", \"type\": \"STRING\", \"widget\": {\"name\": \"text\"}, \"link\": 162}], \"outputs\": [{\"localized_name\": \"CONDITIONING\", \"name\": \"CONDITIONING\", \"type\": \"CONDITIONING\", \"slot_index\": 0, \"links\": [165, 187]}], \"title\": \"CLIP Text Encode (Positive Prompt)\", \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"Node name for S&R\": \"CLIPTextEncode\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"widget_ue_connectable\": {}, \"version\": \"7.5.2\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"## Subject Composition & Setting\\n\\n- The main focus of the image is a figure wearing a hooded cloak, facing a menacing dragon in a fantastical landscape. The figure is seen from behind, with their arms slightly outstretched and their body tense, showing anticipation or fear. The dragon is massive and hovers above them, its wings spread wide, revealing a red underbelly. Its large, red eyes are fixed on the figure, and its sharp, jagged horns curve towards the sky. The dragon's mouth is open in a snarl, revealing sharp teeth.\\n\\n## Composition & Setting\\n\\n- The scene takes place in a misty, mountainous landscape with snow-covered peaks in the distance. The rocky ground beneath the figure is uneven and dark, with a rough, textured appearance. The dragon looms over the figure, creating a sense of tension and danger.\\n\\n## Lighting & Atmosphere\\n\\n- The overall color palette is dark and moody, with shades of gray, green, and red dominating the scene. The lighting is low, casting shadows across the rugged terrain and highlighting the dragon's sharp features. The misty background adds depth and mystery to the image.\\n\\n## Colors & Textures\\n\\n- The figure's cloak is dark green with a red inner lining. The outer cloak has a textured, patterned design of dark green and brown, giving it a worn and weathered appearance. The dragon's scales are dark gray, with a slight iridescence that catches the light. Its large, red eyes stand out against its scaly surface.\\n\\n## Text Elements\\n\\n- None present in the image.\\n\"], \"color\": \"#232\", \"bgcolor\": \"#353\"}, {\"id\": 70, \"type\": \"UNETLoader\", \"pos\": [-464.69441731770837, 228.6388905843099], \"size\": [364.4305674235026, 82], \"flags\": {}, \"order\": 8, \"mode\": 0, \"inputs\": [{\"localized_name\": \"unet_name\", \"name\": \"unet_name\", \"type\": \"COMBO\", \"widget\": {\"name\": \"unet_name\"}, \"link\": 159}], \"outputs\": [{\"localized_name\": \"MODEL\", \"name\": \"MODEL\", \"type\": \"MODEL\", \"links\": [205]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.8.2\", \"Node name for S&R\": \"UNETLoader\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"models\": [{\"name\": \"flux-2-klein-9b-fp8.safetensors\", \"url\": 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She holds a rusted, ornate sword with a brass hilt in her right hand, positioned in front of her face.\n\n### Lighting & Atmosphere\n\n- Snowflakes are scattered on her cloak and the sword, creating a wintery atmosphere. The background is a blurred, wintry landscape with a cloudy sky and indistinct trees.\n\n### Colors & Textures\n\n- The cloak is black and has a smooth yet slightly worn texture. The sword has a rusted appearance with a brass hilt.\n\n### Action & State\n\n- The woman's expression is intense and focused, with slightly parted lips and a few freckles visible on her cheeks. Her gloves-covered hands grip the sword tightly, showing her determination and readiness for battle.\n\n### Text Elements\n\n- None present in the image.\n\n### Facial Expression & Body Position\n\n- She has an intense, focused expression on her face, with her lips slightly parted and a few freckles visible on her cheeks. Her body is posed with a sense of readiness for battle, holding the sword in front of her face with her right hand. The overall mood is one of determination and readiness for battle.", + "sampler": "Euler" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/[KLEIN 9b] Detail Slider/extra_data-vid_2741947/model_dict-mid_2438659-vid_2741947.json b/klein-9b/lora/[KLEIN 9b] Detail Slider/extra_data-vid_2741947/model_dict-mid_2438659-vid_2741947.json new file mode 100644 index 0000000000000000000000000000000000000000..b3d39c0ecf07e9c5e2389affb5b1fa766cdbfc86 --- /dev/null +++ b/klein-9b/lora/[KLEIN 9b] Detail Slider/extra_data-vid_2741947/model_dict-mid_2438659-vid_2741947.json @@ -0,0 +1,240 @@ +{ + "id": 2438659, + "name": "[KLEIN 9b] Detail Slider", + "description": "

Works perfect from from -3 to 3, sometimes 5. It can be pushed further but will break close to 8.

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First version

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Unlock XXX

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First version. KLEIN has serious issues with anatomy, extra hands, arms and fingers. Try again, new seeds generally solve the problem.

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[flux2-klein-9b] Pyro's BJ

New Model, New Pyro

This is an experimental Lora

Research: How few ranks can you get away with?

Result: 90MB lora that understands more about anatomy than your biology teacher in 5th grade.

Also, it's literally the most trainable model I've ever trained with. It's so good I'm going to train it with 100k z-image-turbo images to make my own z-image-base because Alibooba is seemingly toying with our emotions. (If you want to sponsor this project shoot me a msg on discord)

How to use?

You can use this model with BASE and DISTILL. You can also edit images with it amazingly well.

Use BASE for better prompt adherence

Use DISTILL for images faster than you can jerk off

Pls try my distill workflow attached as TrainingData zip-File before telling me or the world that the distill doesn't work well. Thx.

Demo Images should contain workflow

In theory the LORA understands following concepts (in practice it's a bit shaky but that's why it's experimental, you'll figure it out):

General: a woman sucking a penis

Chipmunking or whatever this shit is called: a woman cheeking a penis

Deepthroat: a woman swallowing a penis

What could this be: a woman licking a penis

If you want her to look at you in disgust: pov

Will experiment further until I uncovered the mysteries of flux2-klein-9b and prompt adherence is at a point where you trust the LORA more than your mom.

Discord: https://discord.gg/PSa9EMEMCe

Technicals:

Framework: my diffusion-pipe fork: https://github.com/pyros-projects/diffusion-pipe

Dataset: 300imgs split evenly over all sub-concepts

Training:

65 epochs with 512p (AdamW - batch 4 - lr 2e-4)

15 epochs with 768p (Prodigy Schedulefree)

Version History:

bj_20260120_22-22-29epoch15_comfy: Initial Release

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\"font_size\": 24, \"flags\": {}}], \"config\": {}, \"extra\": {\"ds\": {\"scale\": 0.6588450000001571, \"offset\": [2395.3651731832183, -3228.013396963625]}, \"frontendVersion\": \"1.37.11\", \"workflowRendererVersion\": \"LG\", \"VHS_KeepIntermediate\": true, \"links_added_by_ue\": [], \"VHS_MetadataImage\": true, \"ue_links\": [], \"0246.VERSION\": [0, 0, 4], \"VHS_latentpreviewrate\": 0, \"VHS_latentpreview\": true}, \"version\": 0.4, \"seed_widgets\": {\"158\": 0}}}", + "steps": 4, + "prompt": "转为写实风格", + "sampler": "Euler", + "cfgScale": 1, + "additionalResources": [ + { + "name": "Flux/anime2real-semi.safetensors", + "type": "lora", + "strength": 0.9 + } + ] + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/anime2real-semi/extra_data-vid_2633750/model_dict-mid_2341496-vid_2633750.json b/klein-9b/lora/anime2real-semi/extra_data-vid_2633750/model_dict-mid_2341496-vid_2633750.json new file mode 100644 index 0000000000000000000000000000000000000000..0dab603ba82505e7c5532729948f7b2c1c07b55e --- /dev/null +++ b/klein-9b/lora/anime2real-semi/extra_data-vid_2633750/model_dict-mid_2341496-vid_2633750.json @@ -0,0 +1,254 @@ +{ + "id": 2341496, + "name": "anime2real-semi", + "description": "

anime2real-semi is a LoRA that converts anime-style images into a semi-photorealistic / realistic CG style.

During training, proportions were strictly controlled, so the resulting body shape and face structure reference the original anime features, including NSFW content. That's why I call her \"real-semi\". Feel free to try her out!

LoRA weight: 0.9

Base model: Klein 9b

anime2real-semi 是一个将动漫风格图片转换为半写实 / 写实CG风格的 LoRA。

训练时严格控制了比例，转换出来身形、脸型、都会参考动漫原有的特征，包括NSFW等。 因此我称她为“real-semi”。欢迎大家尝试。

", + "allowNoCredit": true, + "allowCommercialUse": "{RentCivit}", + "allowDerivatives": false, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 808474, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 3254, + "thumbsUpCount": 293, + "thumbsDownCount": 0, + "commentCount": 8, + "tippedAmountCount": 0 + }, + "creator": { + "username": "arpalest", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/646034c7-5f20-4f97-9cf7-6da118c2de6b/width=96/arpalest.jpeg" + }, + "tags": [ + "style" + ], + "modelVersions": [ + { + "id": 2633750, + "index": 0, + "name": "v1.0", + "baseModel": "Flux.2 Klein 9B", + "baseModelType": "Standard", + "createdAt": "2026-01-27T04:46:55.468Z", + "publishedAt": "2026-01-27T05:00:49.236Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "description": "

Version：β

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模型名称lora：gmic Icon_Klein HDC Icon.safetensors

适用功能：文生图/图像编辑

模型版本： flux-2-klein-base-9b-fp8

模型触发词：gmic icon_\\（Game ai Institute \\），

匹配大模型: flux-2-klein-base-9b-fp8

软件：魔壶启动器Magic Pot

一.文生图TAG规范：gmic icon_\\（Game ai Institute \\）， ——————————————————————————

示例：gmic icon_\\（Game ai Institute \\），一个金色木质研钵游戏图标，倾斜翻倒的锅状容器造型，边缘厚实圆润，两侧带有小巧把手，表面呈现金黄与棕褐色分层木纹质感，内部盛着明亮的黄色液体，液体向外泼洒形成夸张弧形飞溅，飞溅中带有橙色与浅绿色点状装饰，整体轮廓清晰，深棕色干净描边，半扁平卡通厚涂质感，色彩鲜艳饱满，高光明亮，细节简洁利落，中心构图，浅灰纯色背景，无投影。

二.图像编辑TAG规范：

1.线稿上色：gmic icon_\\（Game ai Institute \\），保持原始线稿结构，对线稿进行上色，填充合适的颜色，细化图像细节，加强阴影与表面细节表现，使渲染更加干净清晰。+（颜色限定）

2.风格转化：gmic icon_\\（Game ai Institute \\）,细化图像细节并优化物体结构与造型，使轮廓更加清晰，丰富表面细节，生成更加干净且清晰的渲染效果。

3.局部修改：gmic icon_\\（Game ai Institute \\），将 _____（材质 / 元素 / 颜色 / 局部部件）修改为 _____（材质 / 元素 / 颜色 / 局部部件）。

4.高清修复：gmic icon_\\（Game ai Institute \\），去除模糊，提升清晰度，细化图像细节，加强材质表现，丰富表面细节，使边缘更加锐利，整体画面更加清晰、干净。

5.丰富细节：gmic icon_\\（Game ai Institute \\），保持原始颜色、形状和结构不变，细化图像细节，使其呈现出更高清晰度和更干净渲染效果的视觉表现。

5.其他功能：待使用者探索

示例：gmic icon_\\（Game ai Institute \\）， keep the original line art structure, colorize the line art, apply appropriate colors, refine details, enhance shading and surface details, clean

模型讨论组：

DISCORD：https://discord.gg/njBMYJ7mRF

QQ频道：https://pd.qq.com/s/6ekpt1xei?businessType=9（推荐）

⚠️ 免责声明 - Disclaimer

该模型（Checkpoint或Loras）训练资源均来自网络等公开渠道或社区内画师授权提供，仅限您用于学习和研究使用，不得以任何形式的商业用途。若需要商用，需获得版权所有者本人或组织授权。

The training resources of this model (Checkpoint or Loras) are all from public channels such as the Internet. They are only for your use in learning and research and must not be used for any commercial purposes in any form. If commercial use is required, permission must be obtained from the original copyright owner or organization.

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Turn any image into an anime style

I use only with 2 steps, you can add more if its needed.

prompt that I use - \"make it anime

Transform the provided image into a high quality digital anime art. blue cinematic color correction.

Strictly preserve the original atmosphere, lighting, illumination.\"

You can use it with just \"make it anime\" trigger word without prompting

I would be grateful if you could post your images here so that I can see your results.

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交流Q群：173273201

4步加速将白膜添加渲染出结果

使用建议 / Usage Recommendations

  • 模型 / Base Model: Klein 9b

  • 权重 / LoRA Weight: * Range: 0.85-1

    • Recommended: 0.9

  • 触发词 / Trigger Words (Optional): rander the model

  • 采样器 / Sampler: er_sde （stabilize）euler (dynamic)


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Nokia Snapshot LoRA — Dial‑up‑era pixels, straight from a Symbian pocket

Slip back to 2007, when a 2‑megapixel phone cam felt futuristic and sharing a pic over Bluetooth was peak social media. This LoRA faithfully recreates that unmistakable look:

  • Signature soft‑focus glass – a tiny plastic lens that renders edges a little dreamy, with subtle halo sharpening baked in.

  • Muted Y2K palette – gentle blues and dusty cyans, occasionally warmed by the sensor’s unpredictable white‑balance mood swings.

  • JPEG crunch & sensor noise – light blocky compression, speckled low‑light grain, and just enough chroma noise to feel authentic.

Use it when you need that candid, slightly lo‑fi charm—work selfies, street snaps, party flashbacks, or MySpace‑core portraits. Think pre‑Instagram filters, school corridor selfies, and after‑hours office scenes under fluorescent haze.
P.S.: trained only on photos from my Nokia e61i


-WAN
Of course, it doesn’t give the same effect as on Flux, but it’s a good way to get interesting noisy compositions. Also recommend using res_2s_ode for maximum effect

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ECC4D2B205B721ECDCF9837271071E806BC4B1D5236D93A7ED53294763155BB3 +CRC32, E3FA29D4 +BLAKE3, EB9820AD5C98065DB2401FEE8A301B39C01A24F71C2E4A507CB6A6181106D0AE +AutoV3, 8AA05DE78DE4 \ No newline at end of file diff --git a/klein-9b/lora/oldNokia Ultrareal/nokia_fluxklein9b-mid_1808651-vid_2768781.safetensors b/klein-9b/lora/oldNokia Ultrareal/nokia_fluxklein9b-mid_1808651-vid_2768781.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..f2aeadc8f484d72df4e98d9b42c6e6ccad416716 --- /dev/null +++ b/klein-9b/lora/oldNokia Ultrareal/nokia_fluxklein9b-mid_1808651-vid_2768781.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ecc4d2b205b721ecdcf9837271071e806bc4b1d5236d93a7ed53294763155bb3 +size 82866768 diff --git a/klein-9b/lora/realistic.safetensors b/klein-9b/lora/realistic.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..57578f6915f1328873d2bd517f45e2290cc8da2e --- /dev/null +++ b/klein-9b/lora/realistic.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9788dcbeffb79a7823427aaadd47ea122077e3cd9f142de012b58649d50b897e +size 331379616 diff --git a/klein-9b/lora/sheer clothes, pull down and more/extra_data-vid_2791760/model_dict-mid_987388-vid_2791760.json b/klein-9b/lora/sheer clothes, pull down and more/extra_data-vid_2791760/model_dict-mid_987388-vid_2791760.json new file mode 100644 index 0000000000000000000000000000000000000000..6201a94092bbbc9c09927f09e8f895c97f98aa1b --- /dev/null +++ b/klein-9b/lora/sheer clothes, pull down and more/extra_data-vid_2791760/model_dict-mid_987388-vid_2791760.json @@ -0,0 +1,1137 @@ +{ + "id": 987388, + "name": "sheer clothes, pull down and more", + "description": "

large number of hand-picked images (450), without watermarks, joycaptioned and hand-corrected... maybe its to complex to work every time?!?
conten: mostly lingerie, sheer, transparent, some latex, fishnet, some leather harness - from front and behind, very good nipples
be careful with the word \"wearing\" -> better call eg: \"pull down panties\", \"panties aside\" !

SO START WITH MY PROMPTS (all aviable inside PNG)

ERNI -> disable prompt-enhancer!


FLUX.9b.KLEiN - no restrictions or special moves to use - lora has only sexy clothes and positions , no insertions or sexual acts ...


Best with FORGE-Real(DPM++ 2M) and Beta ~25Steps

first impression is okay... you can play with all ages
-> you should push it with \"revealing or exposing\"
with swarm-ui you can segment face and push your face, or use adetailer in forge

v3 more train steps

v2 update are better
- buttocks
- panties aside
- amateur photograph

v1first one

...

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4-8 step working as well

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more trained
should be more consistant

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better:
panties aside and from behind buttocks

best with both loras weight v1~0.4 / v2~0.7

I add \"amateur photograph\"

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Version 1 , all in all it works well
(aside dont work well, wait for next update)

Sampler: Euler
Schedule: Beta or sgmUniform or FLUX
~25 Steps

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Nudes, and Other Fun Stuff) Flux 2 Klein 9b Base & Distilled/extra_data-vid_2836812/model_dict-mid_2416142-vid_2836812.json b/klein-9b/model/SNOFS (Sex, Nudes, and Other Fun Stuff) Flux 2 Klein 9b Base & Distilled/extra_data-vid_2836812/model_dict-mid_2416142-vid_2836812.json new file mode 100644 index 0000000000000000000000000000000000000000..d23aa36a7f0b3f31f5efe169568a856eee1493d6 --- /dev/null +++ b/klein-9b/model/SNOFS (Sex, Nudes, and Other Fun Stuff) Flux 2 Klein 9b Base & Distilled/extra_data-vid_2836812/model_dict-mid_2416142-vid_2836812.json @@ -0,0 +1,973 @@ +{ + "id": 2416142, + "name": "SNOFS (Sex, Nudes, and Other Fun Stuff) Flux 2 Klein 9b Base & Distilled", + "description": "

These are simply a merged in version on top of Flux 2 Klein 9b Base or Distilled with a little extra training for those that can't use lokrs for whatever reason. For full details on how best to use this model please check out the lokr page: https://civitai.com/models/1972981/sex-nudes-other-fun-stuff-snofs

Both the lokr and this trained model are released under this license (parts of which shouldn't really matter because Flux 2 Klein is under a noncommercial license...):
https://huggingface.co/Ashen3/SNOFS

Want to support my work or help fund the training of this dataset on other models? Join the Patreon in my profile, and if you do - thank you!

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Trained with slider trainer in AI Toolkit:

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Trained on some low quality 2000s era images to push LTX into generating some more grounded t2v outputs easier without heavy prompting. Removes the LTX high contrast gloss look pretty well.

PROS :
- Ground the LTX look a bit, reduces contrast. Introduces a touch more amateur haze and blooms.
- A little bit of nudity capability bonus, but this wasn't the focus here.

CONS:
- tends to whitewash people. Dataset wasn't diverse enough. Will try and source a better dataset for next training round.
- Sometimes adds booba to men (maybe this is your jam?) but it wasn't intentional.
- Slight motion reduction.

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Update Notes: Please use both LoRa models together with T2V and I2V. Don't complain to me about it not working or anything like that. If my disciples can use it, it means that if it doesn't work for you, your intelligence might need to be improved by doing more research. Don't blame the model! This is God's choice, I'm not here to complain to you.

Avoid using the ltx-2.3-spatial-upscaler. It completely over-standardizes the video and strips away all its creativity. Just crank up the native resolution directly! The spatial upscaler gives everything this awful plastic look and totally throws off the motion dynamics.

Animation_hardcore-v1.0.0:

Description: Training primarily focuses on 3D ultra-hardcore, provocative androgynous characters.

Pros: Recognizes a soft lower body, slightly deeper penetration

Cons: Blurry

Improvements: <LORA:0.26~51>

Anime_Hardcore-1.0.9:

Description: Features exaggerated 2D expressions and ultra-creative, hardcore designs!

Pros: High resolution, Creative and with a stronger sense of space

Cons: Distorted and bizarre

Improvement: Use with two LORA units

Note:

Although the video quality in LTX2.3 is absolutely terrible, at least it has audio—which is a godsend. Many companies don’t open-source video models, especially ones with audio. We should be grateful for this blessing from above!

In LTX2.3, this is a gift from God; we must cherish the gift God has given us.

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit,Rent,Sell}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 1296490, + "cosmetic": null, + "supportsGeneration": false, + "stats": { + "downloadCount": 1874, + "thumbsUpCount": 95, + "thumbsDownCount": 1, + "commentCount": 14, + "tippedAmountCount": 100 + }, + "creator": { + "username": "mr_Jack", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/ebdcb99a-69c1-4448-b58a-a4ed2d0fa194/width=96/mr_Jack.jpeg" + }, + "tags": [ + "personal perspective_hardcore", + "sex", + "hardcore", + "style" + ], + "modelVersions": [ + { + "id": 2816646, + "index": 0, + "name": "T2V_v1.0.0_3D", + "baseModel": "LTXV 2.3", + "baseModelType": "Standard", + "createdAt": "2026-03-30T14:00:02.204Z", + "publishedAt": "2026-03-30T15:58:00.000Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "description": "

LTX 2.3 is an absolute gift from God!

Using LTX 2.3 isn't just super fast—once you try it, there's no going back!

", + "trainedWords": [ + "Hardcore" + ], + "covered": false, + "stats": { + "downloadCount": 1222, + "thumbsUpCount": 85, + "thumbsDownCount": 1 + }, + "files": [ + { + "id": 2702637, + "sizeKB": 1316433.03125, + "name": "Animation_hardcore-v1.0.0.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-03-30T14:08:20.659Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "B2EA3E68", + "AutoV2": "35F949B6DB", + "SHA256": "35F949B6DBB12EEA13A064E633B1E576250FB440801A5D4B0B959B9E951A17B2", + "CRC32": "879FEDC2", + "BLAKE3": "4A7DAAAC7A980619BBB0F62B242DF062D13B0520C0EDA05E3F96773FD9000329", + "AutoV3": "76539386C860" + }, + "downloadUrl": "https://civitai.com/api/download/models/2816646", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/c0dc9c81-3180-4321-8eb4-3cd3a57b78d8/original=true/125877033.mp4", + "nsfwLevel": 16, + "width": 1152, + "height": 1152, + "hash": "U78E6.D$4mxb_4M{9E%NITWBWB-;NFM_%Nxu", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2816646" + }, + { + "id": 2816602, + "index": 1, + "name": "I2V_v1.0.9_2D", + "baseModel": "LTXV 2.3", + "baseModelType": "Standard", + "createdAt": "2026-03-30T13:46:01.353Z", + "publishedAt": "2026-03-30T15:58:00.000Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "description": "

LTX 2.3 is an absolute gift from God!

Using LTX 2.3 isn't just super fast—once you try it, there's no going back!

", + "covered": false, + "stats": { + "downloadCount": 652, + "thumbsUpCount": 32, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2702601, + "sizeKB": 1316433.140625, + "name": "Anime_Hardcore-1.0.9_000003500.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-03-30T13:58:11.718Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "7B8CE9B5", + "AutoV2": "525DB447F4", + "SHA256": "525DB447F4448232A057E22073B77FE3A191C4C935F897444BEC41CFE7711544", + "CRC32": "E6A48D25", + "BLAKE3": "71BB85C085CBE1E6490EA1462379DD61464D00F70F87A344F136DF57CAA0B73C", + "AutoV3": "D889215EABE5" + }, + "downloadUrl": "https://civitai.com/api/download/models/2816602", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/269e3e6a-3085-464d-bad4-0d2d13dd552a/original=true/125876241.mp4", + "nsfwLevel": 16, + "width": 912, + "height": 1392, + "hash": "U99QXGE1IojF_4RjoKxuD%s.t8-;9Yxaa|x]", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2816602" + } + ] +} \ No newline at end of file diff --git a/ltx23/lora/Animation_hardcore-LTX2.3/extra_data-vid_2816646/model_dict-mid_2505663-vid_2816646.json b/ltx23/lora/Animation_hardcore-LTX2.3/extra_data-vid_2816646/model_dict-mid_2505663-vid_2816646.json new file mode 100644 index 0000000000000000000000000000000000000000..1325cdedc9bb1ab59ad1e3f571fcadf73f12bb7c --- /dev/null +++ b/ltx23/lora/Animation_hardcore-LTX2.3/extra_data-vid_2816646/model_dict-mid_2505663-vid_2816646.json @@ -0,0 +1,165 @@ +{ + "id": 2505663, + "name": "Animation_hardcore-LTX2.3", + "description": "

Update Notes: Please use both LoRa models together with T2V and I2V. Don't complain to me about it not working or anything like that. If my disciples can use it, it means that if it doesn't work for you, your intelligence might need to be improved by doing more research. Don't blame the model! This is God's choice, I'm not here to complain to you.

Avoid using the ltx-2.3-spatial-upscaler. It completely over-standardizes the video and strips away all its creativity. Just crank up the native resolution directly! The spatial upscaler gives everything this awful plastic look and totally throws off the motion dynamics.

Animation_hardcore-v1.0.0:

Description: Training primarily focuses on 3D ultra-hardcore, provocative androgynous characters.

Pros: Recognizes a soft lower body, slightly deeper penetration

Cons: Blurry

Improvements: <LORA:0.26~51>

Anime_Hardcore-1.0.9:

Description: Features exaggerated 2D expressions and ultra-creative, hardcore designs!

Pros: High resolution, Creative and with a stronger sense of space

Cons: Distorted and bizarre

Improvement: Use with two LORA units

Note:

Although the video quality in LTX2.3 is absolutely terrible, at least it has audio—which is a godsend. Many companies don’t open-source video models, especially ones with audio. We should be grateful for this blessing from above!

In LTX2.3, this is a gift from God; we must cherish the gift God has given us.

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit,Rent,Sell}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 1296490, + "cosmetic": null, + "supportsGeneration": false, + "stats": { + "downloadCount": 1874, + "thumbsUpCount": 95, + "thumbsDownCount": 1, + "commentCount": 14, + "tippedAmountCount": 100 + }, + "creator": { + "username": "mr_Jack", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/ebdcb99a-69c1-4448-b58a-a4ed2d0fa194/width=96/mr_Jack.jpeg" + }, + "tags": [ + "personal perspective_hardcore", + "sex", + "hardcore", + "style" + ], + "modelVersions": [ + { + "id": 2816646, + "index": 0, + "name": "T2V_v1.0.0_3D", + "baseModel": "LTXV 2.3", + "baseModelType": "Standard", + "createdAt": "2026-03-30T14:00:02.204Z", + "publishedAt": "2026-03-30T15:58:00.000Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "description": "

LTX 2.3 is an absolute gift from God!

Using LTX 2.3 isn't just super fast—once you try it, there's no going back!

", + "trainedWords": [ + "Hardcore" + ], + "covered": false, + "stats": { + "downloadCount": 1222, + "thumbsUpCount": 85, + "thumbsDownCount": 1 + }, + "files": [ + { + "id": 2702637, + "sizeKB": 1316433.03125, + "name": "Animation_hardcore-v1.0.0.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-03-30T14:08:20.659Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "B2EA3E68", + "AutoV2": "35F949B6DB", + "SHA256": "35F949B6DBB12EEA13A064E633B1E576250FB440801A5D4B0B959B9E951A17B2", + "CRC32": "879FEDC2", + "BLAKE3": "4A7DAAAC7A980619BBB0F62B242DF062D13B0520C0EDA05E3F96773FD9000329", + "AutoV3": "76539386C860" + }, + "downloadUrl": "https://civitai.com/api/download/models/2816646", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/c0dc9c81-3180-4321-8eb4-3cd3a57b78d8/original=true/125877033.mp4", + "nsfwLevel": 16, + "width": 1152, + "height": 1152, + "hash": "U78E6.D$4mxb_4M{9E%NITWBWB-;NFM_%Nxu", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2816646" + }, + { + "id": 2816602, + "index": 1, + "name": "I2V_v1.0.9_2D", + "baseModel": "LTXV 2.3", + "baseModelType": "Standard", + "createdAt": "2026-03-30T13:46:01.353Z", + "publishedAt": "2026-03-30T15:58:00.000Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "description": "

LTX 2.3 is an absolute gift from God!

Using LTX 2.3 isn't just super fast—once you try it, there's no going back!

", + "covered": false, + "stats": { + "downloadCount": 652, + "thumbsUpCount": 32, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2702601, + "sizeKB": 1316433.140625, + "name": "Anime_Hardcore-1.0.9_000003500.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-03-30T13:58:11.718Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "7B8CE9B5", + "AutoV2": "525DB447F4", + "SHA256": "525DB447F4448232A057E22073B77FE3A191C4C935F897444BEC41CFE7711544", + "CRC32": "E6A48D25", + "BLAKE3": "71BB85C085CBE1E6490EA1462379DD61464D00F70F87A344F136DF57CAA0B73C", + "AutoV3": "D889215EABE5" + }, + "downloadUrl": "https://civitai.com/api/download/models/2816602", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/269e3e6a-3085-464d-bad4-0d2d13dd552a/original=true/125876241.mp4", + "nsfwLevel": 16, + "width": 912, + "height": 1392, + "hash": "U99QXGE1IojF_4RjoKxuD%s.t8-;9Yxaa|x]", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2816602" + } + ] +} \ No newline at end of file diff --git a/ltx23/lora/Animation_hardcore-LTX2.3/extra_data-vid_2881579/model_dict-mid_2505663-vid_2881579.json b/ltx23/lora/Animation_hardcore-LTX2.3/extra_data-vid_2881579/model_dict-mid_2505663-vid_2881579.json new file mode 100644 index 0000000000000000000000000000000000000000..66a3899858b81675a729b0c20b16ba17cab62fff --- /dev/null +++ b/ltx23/lora/Animation_hardcore-LTX2.3/extra_data-vid_2881579/model_dict-mid_2505663-vid_2881579.json @@ -0,0 +1,230 @@ +{ + "id": 2505663, + "name": "Animation_hardcore-LTX2.3", + "description": "

Animation_hardcore-v1.0.0: Dynamic Lora, short videos

Anime_Hardcore-1.0.9: Static Lora, short videos

D_LORA-2D: Dynamic Lora, Long video

R LORA-3D: Under development...

Animator_Artist_VideoTech: \"Tag D_LORA-2D\"

Features: High dynamic range, enhanced spatial awareness, with a core focus on the subtle nuances of continuous NSFW interactions.

Description: > This LoRA is capable of generating stable, interactive NSFW videos lasting up to 30–45 seconds. Achieving this required massive VRAM and compute power during training. The key was strictly controlling the facial weights to prevent over-baking, which usually leads to facial collapse and motion blur.

What this means for you: When generating standard 5–10 second clips, you will experience extremely fluid, continuous motion and deep interaction. You definitely won't be bored!

Pros: Highly practical for extreme dynamic motion.

Cons: The high dynamics result in a slight loss of fine facial detail.

Optimization: For the perfect output, mix and fine-tune this alongside the Anime_Hardcore v1.0.9_i2v LoRA.

Trigger Word: [Enter your LoRA name]

Theory & Core Knowledge:

Static LoRAs: Deliver high resolution and crisp texture details. (The downside: they produce stiff \"moving slideshows.\")

Dynamic LoRAs: Deliver superior spatial awareness and fluid motion. (The downside: prone to facial collapse and blur.)

To achieve high-level animation, you must categorize your LoRAs into Static and Dynamic, and blend them accordingly.

Remember the golden formula:

Static LoRA + Dynamic LoRA = Ultimate Video Quality.

Final Disclaimer (Read This):

I know beginners are eager to master complex workflows and want to see mind-blowing animations immediately. But if you don't calm down, study patiently, and let genuine passion drive you, your frustration will just turn into toxic negativity aimed at others.

Everyone has their own unique workflow. You don't have to copy mine perfectly—just work within your own limits. Everyone is different. The goal here is to have fun and be entertained!

Complaining is human, but if you're going to complain, channel that energy into training your own model and sharing it with the community for fine-tuning. Everyone wants a top-tier model like Grok handed to them, but complaining keeps you exactly where you are.

LTX is a god-tier model. Have some reverence and don't complain in front of the divine, or you might just face its wrath!

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit,Rent,Sell}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 1296490, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 2735, + "thumbsUpCount": 138, + "thumbsDownCount": 1, + "commentCount": 14, + "tippedAmountCount": 100 + }, + "creator": { + "username": "mr_Jack", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/ebdcb99a-69c1-4448-b58a-a4ed2d0fa194/width=96/mr_Jack.jpeg" + }, + "tags": [ + "hardcore", + "style", + "sex", + "personal perspective_hardcore" + ], + "modelVersions": [ + { + "id": 2881579, + "index": 0, + "name": "D_LORA-2D", + "baseModel": "LTXV 2.3", + "baseModelType": "Standard", + "createdAt": "2026-04-22T11:53:33.338Z", + "publishedAt": "2026-05-01T13:00:23.420Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "description": "

Apologies for the sparse previews—consider it a side effect of a rather amusing phenomenon in the digital ecosystem.

when high-quality tools are offered for free, a curious creature inevitably appears—the Freeloader. They quietly take the goods, milk them for massive gains behind the scenes, and then bravely march into the comment sections to protest.

To counter this fascinating human behavior, this LoRA has been placed firmly behind Early Access. Think of it as a practical lesson in crypto-economics.

It acts as a brilliant filter. The Early Access tollgate keeps the loud, entitled leeches out, ensuring that those who enter get the ultimate, premium experience without any of the nonsense. More importantly, the collected Buzz doesn't just sit idle; it flows right back into the ecosystem, saved specifically to unlock and support the real architects building those massive, foundational Checkpoints.

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LTX 2.3 is an absolute gift from God!

Using LTX 2.3 isn't just super fast—once you try it, there's no going back!

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LTX 2.3 is an absolute gift from God!

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this a new vesion of my flat anime lora from image to video, you can also do text to video its will came out good as long the character is not naked,

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This is a new version that should give you the character a more shinning looks

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This should give you a flat anime mix

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THIS IS AN UPDATE FOR QWEN 2012

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LTX 2.3 V2.5 UPDATE

I have trained with a bit more variety, to get a more stable effect.

Hope you like it, let me know in the comments :)

Also check my updated base workflow with the new Ltx 2.3 1.1 distill lora

https://civitai.red/models/1598638?modelVersionId=2864162

LTX 2.3 UPDATE

Yes made my first attempt on training a LTX lora. It clearly adds some nice bounce, but im not sure if its there yet. Let me know in the comments

In doubt use my base workflow:

https://civitai.com/models/1598638?modelVersionId=2831320

WAN

This lora is for animating bouncing breasts with Wan. Since I felt there was a lack of it here ;)

Used I2V-14B-720P as base.

Since ppl were asking about my training worklfow:

I have used 7 videos with about 4 second length, with faces cut off. I have described what happens e.g.

A girl with blonde extensions is standing in a hotel room, she wears black lingerie, her breasts are bouncing shaking or wobbeling up and down, her hands stand still, her face is cut off

Then I used Musubi-Tuner with default parameters and trained about 32 epochs, with my 4090 it was done in about 35 min.

That's all :)

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Improved the bounce ;)

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This is the first Ltx 2.3 version. I think there might be room for improvement.

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Works also well with the 480p model

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Tried to train with T2V model. But the results with the I2V base model were just better so ill upload this version, since it just works pretty good

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This LoRA tried to replicate the Korean woman character aesthetics of Busansuji, a masterpiece LoRA by ZXTOPOWER.

Trained with a fully synthetic dataset of about 60 still images generated using the original LoRA for 4000 steps.

This LoRA neither depicts nor is trained on any real person.

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Trigger: Cameltoe

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https://huggingface.co/Playtime-AI/models

https://ko-fi.com/playtime_ai_

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ltx2.3仙侠风格v0.9
较为高清的视频生成，带有较为出色的中国仙侠元素。

触发词：仙侠风格

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All-In-One NSFW (WAN/LTX2)", + "description": "

DR34ML4Y by DR34MSC4PE

This LoRA, incredibly, manages to handle ALL of our specialty LoRA concepts (Double/Single Blowjobs, Missionary, Reverse Cowgirl, Doggy), wrapped in one model! It obeys very well and is largely extremely accurate to the given keyword/position (see samples below)! Don't be shy; give it a try! =)

===========================================================================

4/17 - LTXXX 1.0 - Soon.

3/7 - DR34ML4Y LTX! (w/Sound) is HERE! -- This is a tech preview. It will work for both LTX2 and 2.3. Please note - read the model description and understand that the trigger words STILL WORK but your surrounding prompts will need to be much more verbose in the style LTX2 requires! It is also likely best used in non-super huge resolutions, until retraining is complete specifically for 2.3's increased latent space.

EXAMPLE WORKFLOWS HERE! Shout out to RuneXX!

AS ALWAYS: Enjoy, generate responsibly and share what prompting tricks you learn along the way!

==========================================================================

Sample Prompts (best for WAN, LTX needs updates):

Note: prompts w/curly braces are dynamic prompts for use with Wildcard nodes, remove them for regular use like the other examples.

Note - Missionary and cowgirl can have some mix-up if you don't specify the woman is on her back in the prompt.

m15510n4ry, A shot of missionary sex and a detailed view of a woman's vagina and a man's erect penis which is penetrating her. The woman's skin is light and the woman having sex has natural pubic hair above her vagina. The penis is erect as it thrusts in and out of her vagina. There is a slight sheen of moisture on both the penis and the surrounding skin. The background is a fancy bedroom where she is at the edge of the white bed laying on her back and he is between her spread legs. The lighting is even highlighting the natural skin tones and textures.

bl0wj0b, A close-up view of a single {tiny|emasciated|young|18-year old|old|cheerleader|pale goth|petite|rail-thin|plump teen|fat|full-body} woman with performing a blowjob on a man's erect penis. The girl is nearly naked except for {choker|leggings|a slutty belt|crotchless panties|a microkini} barely covering her {white|black|olive|fair|tan-lined|thai} skin and {small|huge|a-cup|DDD} breasts and {glittery|pink|black|rainbow} hair. Her nails are manicured with a {glittery|pink|black|rainbow|natural} design as she grasps the base of the penis and uses it to guide it in and around her mouth as she sucks on the mans {penis and testicles|shaft and balls|erect penis|penis tip as it dribbles white-clear semen from the tip and onto her tongue and lips}

d0ubl3_bj, A close-up view of two fat girls with performing a double blowjob on a man's erect penis. The girls are nude save for slutty choker collars, the girl on the left has pale skin blonde russian slutty pigtail hair. Her nails are manicured with a glittery design as she grasps the base of the penis. The other woman has light thai tan-lined skin and skin black hair with bows and her eyes are closed. Both women are focused on the man's penis which is circumcised and erect. They both lick and run their lips along the shaft of the man's penis. One womans hand moves slightly up and down the base stroking his penis as the suck and lick and share it. The lighting is cinematic yet voyeuristic.

c0wg1rl, a {4k UHD footage|iphone video from 2000s|vintage 1970s|futuristic 8k} {pov|side-shot|top-down xxx pov|4k video} {tiny|emasciated|young|18-year old|cheerleader|pale goth|petite|rail-thin|plump teen|fat|full-body} girl with her arms behind her back and legs spread apart in the reverse cowgirl position. She has {white|black|olive|fair|tan-lined|thai} skin {small|huge|a-cup|DDD} breasts and {long straight|wet|pink|black|rainbow} hair. Her eyes are closed and she has a slight smile of {pain|mischeif|embarassment|lust|sleepiness|possesed|evil} on her face as she {opens|fixes|rolls|focuses} her eyes at the viewer. Her vagina is fully exposed and her legs are slightly bent at the knees. At the bottom of the frame a man's erect penis is thrusting into her vagina.

d0gg1e, A footage|iphone video from 2000s|vintage 1970s|futuristic 8k} {pov|side-shot|top-down xxx pov|4k video} of a {tiny|emasciated|young|18-year old|cheerleader|pale goth|petite|rail-thin|plump teen|fat|full-body} woman {bent over her bed at the waist with her stomach and chest flat on the bed|on her hands and knees|bent over presenting her pussy and anus|bent at the waist reaching toward the ground with ass up|face down, ass up}. She has {white|black|olive|fair|tan-lined|thai} skin {small|huge|a-cup|DDD} breasts and {long straight|wet|pink|black|rainbow} hair and is having her {tiny pussy|butthole|anus|vagina|puffy little vagina|hairless pussy|hairy vagina|4K pussyhole} penetrated in and out repeatedly by one man's modest sized erect penis, slowly but totally in and out as she looks back toward the camera and POV man fucking her. The background is {other young ladies gather around to gain the experience of watching her suck the penis, watching in lab coats that are open exposing their naked bodies in the background|in a church confession booth}

===========================================================================

DR34MSC4PE is

c0ur4ge (trainer/qa/inference code) /

ERA5ER (trainer/captions/tooling code/data/qa)

Be sure to check out our FLUX model - C4PACITOR!

Please generate responsibly!

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Works for you, works for me; LTX2 and 2.3!

PLEASE NOTE: This preview is (somewhat) limited by the need for new prompts. While bj, double bj, missionary and cowgirl seem to more or less work normally, LTX2 tends to really struggle with anything from behind. The doggy keywords are still there but you may need to experiment with verbose prompting to get things right, as LTX2 requires compared to WAN.

Training has already begun specifically for LTX2.3's increased latent space. For now this will work for both but probably results will be mixed until its retrained in the new latent space! It works but expect (more) artifacts than the base model already presents. We're also rebalancing the dataset to account for some of LTX's ... idiosyncrasies. Enjoy!

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Sending WAN 2.2 with a standing (erect) ovation - signed, sealed, delivered - it's yours: I2V 14b 2.0 is here!

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Back for one last ride - Enjoy the best I2V NSFW experience we've cooked up so far!

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Post training improvements and some changes to the DS for end-of-run fine tuning have made have turned T2V 14b from silver to gold. Enjoy this update! :)

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Post training improvements and some changes to the DS for end-of-run fine tuning have made have turned T2V 14b from silver to gold. Enjoy this update! :)

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Thanks for your patience - training speed on these bigger models is slow going for this multi-concept LoRA so we hope you think the wait is worth it! This one may get some updates to concepts but so far, soooooo good =)

Training all of our concepts to fit into one is a tremendous undertaking so thanks to ERA5ER as always for the extra help providing some showcase images/QA. Please consider a donation and checking out his latest work linked here!

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Thanks for your patience - training speed on these bigger models is slow going for this multi-concept LoRA so we hope you think the wait is worth it! This one may get some updates to concepts but so far, soooooo good =)

Training all of our concepts to fit into one is a tremendous undertaking so thanks to ERA5ER as always for the extra help providing some showcase images/QA. Please consider a donation and checking out his latest work linked here!

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WAKE THE FUCK UP SAMURAI - It's time; You know what to do. When it comes to WAN 2.2, all you need is this LoRA and you. Enjoy (responsibly)! =)

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WAKE THE FUCK UP SAMURAI - It's time; You know what to do. When it comes to WAN 2.2, all you need is this LoRA and you. Enjoy (responsibly)! =)

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We're trying something new for Wan 2.2 - so here's an early gift from we to you!

", + "trainedWords": [ + "m15510n4ry", + "bl0wj0b", + "c0wg1rl", + "d0ub13_bj", + "sex", + "blowjob", + "cowgirl", + "missionary" + ], + "covered": true, + "stats": { + "downloadCount": 6674, + "thumbsUpCount": 442, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 1946936, + "sizeKB": 299617.1640625, + "name": "DR34ML4Y_AIO_PREVIEW_V1.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2025-07-26T14:11:17.199Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "8DB4A350", + "AutoV2": "48C98F6B83", + "SHA256": "48C98F6B8362AAB5468E75AD5394208F0D6974E2C5A65B6F226524C3C73EEB30", + "CRC32": "E8B84905", + "BLAKE3": "94E03FA89301D3F3BC01B275E5C33F78CF096E194B4E8007538A5C9EE249A327", + "AutoV3": "84F232484855" + }, + "downloadUrl": "https://civitai.com/api/download/models/2049787", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/63429523-bc8d-4547-85f9-f62334336050/original=true/90595854.mp4", + "nsfwLevel": 16, + "width": 480, + "height": 880, + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/3eb54422-aff8-4382-acab-1c8a6a6ed0cc/original=true/90595195.mp4", + "nsfwLevel": 16, + "width": 480, + "height": 880, + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/5a4910b8-c765-458f-9913-5edbea62ce55/original=true/90594864.mp4", + "nsfwLevel": 16, + "width": 480, + "height": 848, + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/37a39286-5d24-4f85-90cb-7be54d741a2c/original=true/90620174.mp4", + "nsfwLevel": 16, + "width": 640, + "height": 480, + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/74f66360-4146-4c24-9a4a-4ba6366e6956/original=true/90595164.mp4", + "nsfwLevel": 16, + "width": 640, + "height": 480, + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4fdfb494-70a0-4f32-a60e-5bb5939447ea/original=true/90595252.mp4", + "nsfwLevel": 16, + "width": 480, + "height": 880, + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/2c493b85-94f9-44c5-9994-e79baa0a051a/original=true/90595275.mp4", + "nsfwLevel": 16, + "width": 480, + "height": 880, + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/3ad797fd-984c-4a34-80a7-e2fab64a4194/original=true/90593566.mp4", + "nsfwLevel": 16, + "width": 480, + "height": 848, + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/009c961d-01c1-4d1e-b565-b4abdaa4c132/original=true/90595640.mp4", + "nsfwLevel": 16, + "width": 720, + "height": 720, + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2049787" + }, + { + "id": 2099309, + "index": 10, + "name": "TI2B_5B_V1", + "baseModel": "Wan Video 2.2 TI2V-5B", + "baseModelType": "Standard", + "createdAt": "2025-08-10T12:59:46.865Z", + "publishedAt": "2025-08-10T13:24:50.606Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "description": "

First version of our AIO for WAN 2.2 TI2V - Enjoy!

", + "trainedWords": [ + "m15510n4ry", + "bl0wj0b", + "d0ubl3_bj", + "d0gg1e", + "c0wg1rl" + ], + "covered": true, + "stats": { + "downloadCount": 11525, + "thumbsUpCount": 450, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 1994850, + "sizeKB": 314952.8515625, + "name": "DR34ML4Y_TI2V_5B_V1.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2025-08-10T13:15:48.116Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "71B452E0", + "AutoV2": "D646701E1F", + "SHA256": "D646701E1F9EC369D78146CBFD5FE71B4ABAF145E33F6AB93FF698F6755354EE", + "CRC32": "B44CE0F6", + "BLAKE3": "BD46A828733E5A5554555EABF1C1D611F05E343CE6CBFD4410AB802F8C016B8B", + "AutoV3": "23F3FA3FAC52" + }, + "downloadUrl": "https://civitai.com/api/download/models/2099309", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6b453e73-205d-4cf6-8d7a-24a6147a5d4e/original=true/93426403.mp4", + "nsfwLevel": 16, + "width": 480, + "height": 896, + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b4ebb8e8-550f-4f52-bc2a-5502e3ac5dbd/original=true/93423630.mp4", + "nsfwLevel": 16, + "width": 1280, + "height": 704, + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/2107689c-d913-4d46-97d5-a4394db3d276/original=true/93424087.mp4", + "nsfwLevel": 16, + "width": 1280, + "height": 704, + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2099309" + } + ] +} \ No newline at end of file diff --git a/ltx23/lora/DR34ML4Y - All-In-One NSFW (WAN<X2)/extra_data-vid_2913022/model_dict-mid_1811313-vid_2913022.json b/ltx23/lora/DR34ML4Y - All-In-One NSFW (WAN<X2)/extra_data-vid_2913022/model_dict-mid_1811313-vid_2913022.json new file mode 100644 index 0000000000000000000000000000000000000000..77a42eb629f3500339e09c9618256d594df4adcf --- /dev/null +++ b/ltx23/lora/DR34ML4Y - All-In-One NSFW (WAN<X2)/extra_data-vid_2913022/model_dict-mid_1811313-vid_2913022.json @@ -0,0 +1,1967 @@ +{ + "id": 1811313, + "name": "DR34ML4Y - All-In-One NSFW (WAN/LTX2)", + "description": "

DR34ML4Y by DR34MSC4PE

This LoRA, incredibly, manages to handle ALL of our specialty LoRA concepts (Double/Single Blowjobs, Missionary, Reverse Cowgirl, Doggy), wrapped in one model! It obeys very well and is largely extremely accurate to the given keyword/position (see samples below)! Don't be shy; give it a try! =)

===========================================================================

5/5 - LTXXX 1.0 - OUT NOW 4 ALL! I2V-T2V ALL-N-ONE!

TRAINING IS STILL ONGOING - v1 is a complete retrain of the preview run with adjustments. Fine tuning is currently ongoing. You may experience some concept imbalance as we make changes to the dataset.

Please note - read the model description and understand that the trigger words STILL WORK but your surrounding prompts will need to be much more verbose in the style LTX2 requires!. Performs BEST WITHOUT DISTILLATION. The distillation lora and checkpoint actively fight the nsfw training and account for body horror. YMMV - we recommend using the full dev checkpoint with between 0.25-0.35 distill strength. Adjust steps and CFG accordingly for both passes.

EXAMPLE WORKFLOWS HERE! Shout out to RuneXX!

AS ALWAYS: Enjoy, generate responsibly and share what prompting tricks you learn along the way!

==========================================================================

Sample Prompts (best for WAN, LTX needs updates):

Note: prompts w/curly braces are dynamic prompts for use with Wildcard nodes, remove them for regular use like the other examples.

Note - Missionary and cowgirl can have some mix-up if you don't specify the woman is on her back in the prompt.

m15510n4ry, A shot of missionary sex and a detailed view of a woman's vagina and a man's erect penis which is penetrating her. The woman's skin is light and the woman having sex has natural pubic hair above her vagina. The penis is erect as it thrusts in and out of her vagina. There is a slight sheen of moisture on both the penis and the surrounding skin. The background is a fancy bedroom where she is at the edge of the white bed laying on her back and he is between her spread legs. The lighting is even highlighting the natural skin tones and textures.

bl0wj0b, A close-up view of a single {tiny|emasciated|young|18-year old|old|cheerleader|pale goth|petite|rail-thin|plump teen|fat|full-body} woman with performing a blowjob on a man's erect penis. The girl is nearly naked except for {choker|leggings|a slutty belt|crotchless panties|a microkini} barely covering her {white|black|olive|fair|tan-lined|thai} skin and {small|huge|a-cup|DDD} breasts and {glittery|pink|black|rainbow} hair. Her nails are manicured with a {glittery|pink|black|rainbow|natural} design as she grasps the base of the penis and uses it to guide it in and around her mouth as she sucks on the mans {penis and testicles|shaft and balls|erect penis|penis tip as it dribbles white-clear semen from the tip and onto her tongue and lips}

d0ubl3_bj, A close-up view of two fat girls with performing a double blowjob on a man's erect penis. The girls are nude save for slutty choker collars, the girl on the left has pale skin blonde russian slutty pigtail hair. Her nails are manicured with a glittery design as she grasps the base of the penis. The other woman has light thai tan-lined skin and skin black hair with bows and her eyes are closed. Both women are focused on the man's penis which is circumcised and erect. They both lick and run their lips along the shaft of the man's penis. One womans hand moves slightly up and down the base stroking his penis as the suck and lick and share it. The lighting is cinematic yet voyeuristic.

c0wg1rl, a {4k UHD footage|iphone video from 2000s|vintage 1970s|futuristic 8k} {pov|side-shot|top-down xxx pov|4k video} {tiny|emasciated|young|18-year old|cheerleader|pale goth|petite|rail-thin|plump teen|fat|full-body} girl with her arms behind her back and legs spread apart in the reverse cowgirl position. She has {white|black|olive|fair|tan-lined|thai} skin {small|huge|a-cup|DDD} breasts and {long straight|wet|pink|black|rainbow} hair. Her eyes are closed and she has a slight smile of {pain|mischeif|embarassment|lust|sleepiness|possesed|evil} on her face as she {opens|fixes|rolls|focuses} her eyes at the viewer. Her vagina is fully exposed and her legs are slightly bent at the knees. At the bottom of the frame a man's erect penis is thrusting into her vagina.

d0gg1e, A footage|iphone video from 2000s|vintage 1970s|futuristic 8k} {pov|side-shot|top-down xxx pov|4k video} of a {tiny|emasciated|young|18-year old|cheerleader|pale goth|petite|rail-thin|plump teen|fat|full-body} woman {bent over her bed at the waist with her stomach and chest flat on the bed|on her hands and knees|bent over presenting her pussy and anus|bent at the waist reaching toward the ground with ass up|face down, ass up}. She has {white|black|olive|fair|tan-lined|thai} skin {small|huge|a-cup|DDD} breasts and {long straight|wet|pink|black|rainbow} hair and is having her {tiny pussy|butthole|anus|vagina|puffy little vagina|hairless pussy|hairy vagina|4K pussyhole} penetrated in and out repeatedly by one man's modest sized erect penis, slowly but totally in and out as she looks back toward the camera and POV man fucking her. The background is {other young ladies gather around to gain the experience of watching her suck the penis, watching in lab coats that are open exposing their naked bodies in the background|in a church confession booth}

===========================================================================

DR34MSC4PE is

c0ur4ge (trainer/qa/inference code) /

ERA5ER (trainer/captions/tooling code/data/qa)

Be sure to check out our FLUX model - C4PACITOR!

Please generate responsibly!

", + "allowNoCredit": true, + "allowCommercialUse": "{RentCivit}", + "allowDerivatives": false, + "allowDifferentLicense": false, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 3494088, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 376924, + "thumbsUpCount": 10930, + "thumbsDownCount": 13, + "commentCount": 413, + "tippedAmountCount": 1591321 + }, + "creator": { + "username": "c0ur4ge", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/25cb09a2-6509-4fd2-bc6f-8679c43f3551/width=96/c0ur4ge.jpeg" + }, + "tags": [ + "concept", + "oral", + "pov", + "missionary", + "sex", + "blowjob", + "nsfw", + "doggy", + "wan" + ], + "modelVersions": [ + { + "id": 2913022, + "index": 0, + "name": "DR34ML4Y_LT3X_v1", + "baseModel": "LTXV 2.3", + "baseModelType": "Standard", + "createdAt": "2026-05-02T18:29:05.288Z", + "publishedAt": "2026-05-05T22:33:15.120Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "description": "

Better late than never, so it's time to pull the lever - LTXXX v1.0 is here for you to enjoy.

Note - the same rules around prompting apply as the PREVIEW and LTX 2.3 in general. Doggy still has some limitations as training is still in progress on this version. Expect improvements soon!

", + "trainedWords": [ + "m15510n4ry", + "bl0wj0b", + "d0ubl3_bj", + "d0gg1e", + "c0wg1rl", + "r3v3rs3_c0wg1rl" + ], + "covered": true, + "stats": { + "downloadCount": 6804, + "thumbsUpCount": 381, + "thumbsDownCount": 1 + }, + "files": [ + { + "id": 2793385, + "sizeKB": 1895072.0703125, + "name": "DR34ML4Y_LTXXX_V1.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-05-03T12:31:36.434Z", + "metadata": { + "format": "SafeTensor", + "isRequired": false + }, + "hashes": { + "AutoV1": "0078BC7B", + "AutoV2": "D9A4D15C1E", + "SHA256": "D9A4D15C1EB780D9CA312D4647129685694FF808B84879A419B6FF212CE585D3", + "CRC32": "F0EC2D65", + "BLAKE3": "B97DA6935A7205F206DD955165242C5D513AB1721555C30B311CE9DB6C49E40C", + "AutoV3": "845A02096327" + }, + "downloadUrl": "https://civitai.com/api/download/models/2913022", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/0459e777-cce2-46ec-accc-95a5af53c8ec/original=true/129483435.mp4", + "nsfwLevel": 16, + "width": 448, + "height": 832, + "hash": "U8EVB3S}NG?H_M%L-VRiL0IooNt70fR*Nboz", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/e2f77c2b-05c3-4417-812c-60c0b7e228b0/original=true/129779995.mp4", + "nsfwLevel": 16, + "width": 832, + "height": 1216, + "hash": "U8HK39nD%7^,2xNeNf-:0dS+5Rt69ENLxA9b", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7acbf209-654a-4fa1-bb82-a558727e3b9f/original=true/129483503.mp4", + "nsfwLevel": 16, + "width": 448, + "height": 832, + "hash": "UGG*$rWX%$xF?wbIx]n$XnofxZM{j[xuaJae", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/9d6c6a04-f2e4-4f10-8251-9797ceec2ee9/original=true/129483569.mp4", + "nsfwLevel": 16, + "width": 704, + "height": 704, + "hash": "U5E.kbM{00-o00D%4.^+00D%I.RP?a.8_4aK", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/1b5b67f5-f1a3-41d1-af9c-56e1afb42660/original=true/129483447.mp4", + "nsfwLevel": 16, + "width": 448, + "height": 832, + "hash": "U3E_{xInI9r@dBo}}uD%HWD$-pxu00ROAUXT", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/89fd1c7c-c33c-4ccf-8612-c5a1ddbc981e/original=true/129483710.mp4", + "nsfwLevel": 16, + "width": 704, + "height": 704, + "hash": "UHGkk2xtkXWB~qM{-:o1ELD%%MNGInnOozRk", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7874f059-334e-44e3-a96b-fa6fa90006cb/original=true/129483424.mp4", + "nsfwLevel": 16, + "width": 704, + "height": 704, + "hash": "U1FOZM0014M_0._300-;~q00EK00}]?a?v00", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/1d2941da-bdd7-470f-91c0-344b57dbe274/original=true/129485162.mp4", + "nsfwLevel": 16, + "width": 1280, + "height": 704, + "hash": "U7C?M[IU4.M{_NxuITIopdWBoMoJtR%MM{t7", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2913022" + }, + { + "id": 2747549, + "index": 1, + "name": "DR34ML4Y_LT3X_PREVIEW", + "baseModel": "LTXV 2.3", + "baseModelType": "Standard", + "createdAt": "2026-03-05T23:31:46.987Z", + "publishedAt": "2026-03-11T23:32:51.650Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "description": "

Works for you, works for me; LTX2 and 2.3!

PLEASE NOTE: This preview is (somewhat) limited by the need for new prompts. While bj, double bj, missionary and cowgirl seem to more or less work normally, LTX2 tends to really struggle with anything from behind. The doggy keywords are still there but you may need to experiment with verbose prompting to get things right, as LTX2 requires compared to WAN.

Training has already begun specifically for LTX2.3's increased latent space. For now this will work for both but probably results will be mixed until its retrained in the new latent space! It works but expect (more) artifacts than the base model already presents. We're also rebalancing the dataset to account for some of LTX's ... idiosyncrasies. Enjoy!

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Sending WAN 2.2 with a standing (erect) ovation - signed, sealed, delivered - it's yours: I2V 14b 2.0 is here!

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Back for one last ride - Enjoy the best I2V NSFW experience we've cooked up so far!

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Post training improvements and some changes to the DS for end-of-run fine tuning have made have turned T2V 14b from silver to gold. Enjoy this update! :)

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Post training improvements and some changes to the DS for end-of-run fine tuning have made have turned T2V 14b from silver to gold. Enjoy this update! :)

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Thanks for your patience - training speed on these bigger models is slow going for this multi-concept LoRA so we hope you think the wait is worth it! This one may get some updates to concepts but so far, soooooo good =)

Training all of our concepts to fit into one is a tremendous undertaking so thanks to ERA5ER as always for the extra help providing some showcase images/QA. Please consider a donation and checking out his latest work linked here!

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Thanks for your patience - training speed on these bigger models is slow going for this multi-concept LoRA so we hope you think the wait is worth it! This one may get some updates to concepts but so far, soooooo good =)

Training all of our concepts to fit into one is a tremendous undertaking so thanks to ERA5ER as always for the extra help providing some showcase images/QA. Please consider a donation and checking out his latest work linked here!

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WAKE THE FUCK UP SAMURAI - It's time; You know what to do. When it comes to WAN 2.2, all you need is this LoRA and you. Enjoy (responsibly)! =)

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We're trying something new for Wan 2.2 - so here's an early gift from we to you!

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First version of our AIO for WAN 2.2 TI2V - Enjoy!

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This model was trained on 8,000 video pairs, and training is still ongoing for a few thousand more steps. It is still experimental, not trained with a fully professional production target, and the model may be updated unexpectedly as new checkpoints.

The current goal is not final polished production quality, but to explore:

  • edit-anything behavior

  • prompt-following

  • inference tradeoffs

  • synthetic dataset building, especially for style data

The model was trained around four main prompt patterns:

Add
Add a/an [subject/object] with [clear visual attributes], [precise location in the scene].

Remove
Remove the [subject/object] [location or identifying description].

Replace
Replace the [original subject/object] [location] with a/an [new subject/object] with [clear visual attributes].

Convert / Style
Convert the video into a [style name] style.

Workflow URL: https://huggingface.co/Alissonerdx/LTX-LoRAs/blob/main/workflows/ltx23_edit_anything_v1.1.json

One important thing during inference is CFG.

A good starting point is testing a distilled setup with CFG = 1. If the edit feels too weak or the model is not following the prompt well enough, increasing CFG can be the key. In some cases, increasing the LoRA strength to around 1.2 can also help.

The workflow is also not fully optimized yet. It still needs more testing to find the best combination of:

  • CFG

  • LoRA strength

  • number of steps

  • model combinations

It may also be interesting to combine this model with other models and see what kinds of results emerge.

If you can test it, please share your findings. Feedback on prompt behavior, edit strength, consistency, style transfer, and failure cases would be very helpful while training is still in progress.

Another very important thing is that the Removal task should have a very clear direction indicating where you want to remove what you want to remove.

Examples:

Remove the black robot sitting at the table.

Remove the person riding the electric scooter on the left.

Remove the person with glasses and the microphone in the foreground.

Remove the image of the green trees on the top left.

Remove the woman and the smoking bottle.

For example, if the object are in front, use foreground ... background, left, right, top, bottom.

Another way to remove things that don't want to be removed is to simply add a mask, for example magenta, over the object you want to remove, and use this video as a guide. When writing the prompt, you write something like: \"Remove object masked with the pink color.\" Sometimes this is much more precise than waiting for it to recognize what actually needs to be removed, because in this case the biggest indicator is the magenta-colored object.

If this model was helpful to you in any way, please consider helping me continue creating more model for the price of a coffee.

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  • Updated model from version 6000 step to version 9000 and workflow (18-04-2026 14:31 UTC)

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V1 vs Beta versions:
I 'm honestly not quite sure what the differences are between the 2 versions, but V1 was trained with double the data, so I suggest you try both and see what fits your needs.

This is not a standalone Lora, but meant to be used with other Loras or checkpoints, like the amazing LTX2.3 10Eros checkpoint.

Prompting idea, even though I am sure it can be prompted better:

CUMSH0T.

The woman is stroking the mans penis up and down with one hand.

Continuous short pulses of long ropes of white semen shoots from the tip of the penis which hits her face, while she is moaning.

The semen hits her forehead, nose, cheeks and mouth, the semen is running down her face and body.

The penis is shooting long ropes of white semen across her face, nose and mouth, with long streaks running down her chin and tongue throughout the cumshot.


This Lora can also be used if there is no penis in the first frame - prompt it somehing like this:

A large erect penis enters from the left side of the frame.

The man is stroking his penis up and down with one hand.


V1 Training: 3000 steps with 40 (768x768) clips at 5 seconds / 16 fps.
Beta Training: 3000 steps with 20 (768x768) clips at 5 seconds / 16 fps.

Even though this is trained as an I2V model, it seems to have effect on T2V as well.

Known problems:
- I see a colorshift in the first seconds, and not sure yet, if it is because of overtraining or my workflow.
- Cum is magically appearing all over the body very fast, but hope it can be fixed with more training data and better captioning.

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"id": 2531473, + "name": "Facials & Cum in Mouth", + "description": "

Cum on faces and mouths. Example prompts:

A penis enters at the bottom of the scene, being rapidly stroked by a masculine hand. The woman recieves a cum facial as cum shoots on to her face in bursts from the tip of the penis. Cum only lands on her face in streaks.\n\nEverything else remains still and unaffected.
The camera zooms in on the woman's face, focused tightly on her open mouth and extended tongue.\n\nThe woman recieves a cum in mouth facial.
The woman recieves a cum in mouth facial.
The woman recieves a cum facial.

If you want to know how to get the top-down perspective featured in most of the showcase videos, that was done by feeding any image into this Flux Klein 9B prompt:

Show the woman from directly overhead, top-down perspective. Very closeup on her face. She is lying in bed.

Note - This is an LTX2.3 LoRA but it was trained on videos without sound, so you'll get random music unless you prompt it otherwise.

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LXT2.3 Image 2 Video

This one is really only useful for image-to-video. I wanted the dicks to have realistic movement, proper rotation/zoom, and not turn into shapeless blobs if they ever got out of frame. It's far from perfect, but I'd say mission accomplished on those three fronts.

T2V is still a work in progress. You might get something passable, but most of the time it will generate (beautifully animated) blobs. I'll keep trying to perfect that one.

All of the example videos were generated on RunPod using this template. It works like a charm on a 5090, has really comprehensive documentation, and allows for downloading LoRAs and models, as well as great file management.


If you want to give a go, please use my referal link (HERE) to get some free credits for you and for me. LTX training is expensive. (ᵕ—ᴗ—)

If you enjoyed this Lora, consider kicking a few bucks my way!
https://ko-fi.com/jouhellerxxx

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b/ltx23/lora/Full Nelson Sex I2V LTX2.3 I2V LoRa - K3NK/extra_data-vid_2809352/model_dict-mid_2499194-vid_2809352.json @@ -0,0 +1,228 @@ +{ + "id": 2499194, + "name": "Full Nelson Sex I2V LTX2.3 I2V LoRa - K3NK", + "description": "

Full Nelson Sex I2V LTX2.3 I2V LoRa - K3NK

  • Same dataset as my other Full Nelson Loras

  • I didnt get any good result as T2V

  • Works great using base image s from my Klein 9B Full Nelson

  • No audio trained

  • it can create mounstrous feet 👣

Here is the settings used in musubi fork

# LTXV 2.3 Dataset Configuration\n[general]\nresolution = [768, 768]\ncaption_extension = \".txt\"\nbatch_size = 1\nenable_bucket = true\n\n#Dataset 1: Videos\n[[datasets]]\nvideo_directory = \"G:/inputs/input-fnelson\"\ncache_directory = \"D:/Musubi/cache_latents_videos\" \ntarget_frames = [15, 97] \nframe_extraction = \"head\"\nsource_fps = 25.0\ntarget_fps = 25.0\nnum_repeats = 2

accelerate launch ^\n  --num_cpu_threads_per_process 1 ^\n  --mixed_precision bf16 ^\n  ltx2_train_network.py ^\n  --mixed_precision bf16 ^\n  --dataset_config D:\\Musubi\\DATASET_CONFIG.toml ^\n  --gemma_root \"D:\\Musubi\\models\\gemma-3-12b-it-heretic-v2\" ^\n  --gemma_load_in_8bit ^\n  --ltx2_checkpoint \"D:\\ComfyUI_Windows_portable\\ComfyUI\\models\\checkpoints\\ltx-2.3-22b-dev.safetensors\" ^\n  --fp8_base ^\n  --fp8_scaled ^\n  --blocks_to_swap 12 ^\n  --use_pinned_memory_for_block_swap ^\n  --sdpa ^\n  --gradient_checkpointing ^\n  --learning_rate 5e-5 ^\n  --network_module networks.lora_ltx2 ^\n  --network_dim 64 ^\n  --network_alpha 64 ^\n  --timestep_sampling shifted_logit_normal ^\n  --ltx_mode video ^\n  --separate_audio_buckets ^\n  --ltx2_first_frame_conditioning_p 1.0 ^\n  --output_dir G:\\Musubi-output\\fnelson^\n  --output_name ltx2_lora ^\n  --max_train_steps 5000 ^\n  --save_every_n_steps 500 ^\n  --save_state ^\n  --optimizer_type AdamW8bit ^\n  --log_with tensorboard ^\n  --logging_dir G:\\Musubi-output\\logs

", + "allowNoCredit": false, + "allowCommercialUse": "{RentCivit}", + "allowDerivatives": false, + "allowDifferentLicense": false, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 6304323, + "cosmetic": null, + "supportsGeneration": false, + "stats": { + "downloadCount": 1534, + "thumbsUpCount": 98, + "thumbsDownCount": 0, + "commentCount": 8, + "tippedAmountCount": 0 + }, + "creator": { + "username": "K3NK", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/d1890c8f-a93c-4a5a-bcf6-7bc9f2d43ae4/width=96/K3NK.jpeg" + }, + "tags": [ + "full nelson sex", + "sex", + "full nelson", + "action" + ], + "modelVersions": [ + { + "id": 2809352, + "index": 0, + "name": "v1.0", + "baseModel": "LTXV 2.3", + "baseModelType": "Standard", + "createdAt": "2026-03-28T00:19:49.774Z", + "publishedAt": "2026-03-28T00:35:31.028Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, 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@@ -0,0 +1,4211 @@ +{ + "id": 1782485, + "name": "Furry Enhancer Video", + "description": "

This Lora is made to enhance the ability / quality to create anthro and furry

but it works also for all kind of other fantasy creatures and animals too

the range that it can handle for example the Wan 2.2 V2 Lora is from comic and drawing towards real photos .

i made the lora for Hunyuan Video , WAN 2.1 and 2.2 (SFW and NSFW)

Furry Enhancer Hunyuan V1

The Hunyuan Video version is trained for Text to Video (T2V) but i also tested it on Image to Video its also working with it very good but not made for that.

All example images for the Hunyuan Video are made T2V

Its also compatible with Ratatoskr Hunyuan

Wan 2.1 I2v and T2V V1

The Wan 2.1 has 2 different models

I2V and T2V

the image to video is in most cases the model of choice for Wan

for the Text to Video Variant please read the description.

Its also compatible Ratatoskr WAN 2.1 (ITV) and will for sure increase the quality especially in the NSFW Area.

I also tested the I2V Lora with Wan 2.2 it seems to enhance the result too but very experimental

Wan 2.2 I2V and T2V V1

This enhancer version is for Wan 2.2 its splitted in basically 2 Loras: low and high noise

both loras for I2V are trained on the same dataset. I its my own dataset before i trained with the wan 2.1 Lora but add more pictures and videos

it's completely synthetic so no real persons or art is used for the dataset.

whats the pros of this lora compared to the wan 2.1?

  • more consistent

  • more specimen

better in sfw and nsfw

i recommend using both loras and use the workflow in the training folder Note: your resolution needed to set between 0.4 (480P) and 0.92 (720p) overwise the lora generate backscreens or other failures.

for strength i prefer the full 1.0 strength its tested

its tested with the original wan 2.2 model

also in a short test with my Ratatoskr WAN 2.2 Hybrid v1.0 WIP model (use only the high noise version with that model)

for technical data about Wan 2.2 visit there official site here:

V2 Furry Enhancer High Noise

Changes compared to V1

  • more consistent

  • more specimen

  • better overall movements

  • more stable overall

  • way better with comic and anime than V1

better in sfw and nsfw

i recommend using the V1 Version of the WAN 2.2 I2V V1.0Low Noise

Note: I used for example the old workflow for this model to compare V1 with V1 if you like the newest workflow download the training folder.

Important for this workflow is to keep the resolution between 0.4 and 0.92 (480p - 720p)

V3 High Noise and Low Noise

This enhancer version is for Wan 2.2

its trained my own dataset

it's completely synthetic so no real persons or art is used for the dataset.

the biggest change in this dataset is its now completely trained on videos

Changes compared to V2

  • trained now on over 650 Videos

  • better overall movements

  • more emotions

  • way better with comic and anime than V1 and V2

better in sfw and nsfw

for this Version there is also an newtrained Low Noise Model

LTX2.3 Version (WIP Preview V0.1)

this is an preview version of the first attempt to train the ltx 2.3 model with a very limited dataset

so it's more like an technical demonstration / trial than a fully trained lora.

So don't expect best results yet it's highly experimental.

for workflow i have also added an experimental workflow.

LTX2.3 Version V1 Lora Pack

This is the First full Release Version of the LTX Version of Furry Enhancer Video.

Better to say it's an model pack because

V1.1 is made based on ltx 2.0 training setup so best for the LTX 2.0 model

V1.215 its the main model trained specifically for the ltx 2.3 Version so start usually with that lora

V1.22 More advanced in training but has sound issues.

V1.3 experimental (wip) model trained in different training modes (heavy sound issues)

you find the used workflows and the different model versions in the \"training folder\"

the loras are tested on the dev version and the distilled variant.

what has changed to preview?

  • Trained on the full video database (V1.2 and up) at around 700 videos instead of only 40 videos

  • Also trained on my photo database of ratatoskr overall over 10k pictures

  • Trained for i2v and t2v

  • better overall knowledge and movement .

Note: this is still in development because most of the trained videos are based on my wan2.2 database so its planned to train an v2 this year with video output of that model.

also i don't have my own workflow done yet so it depends on other workflow don by afroman4peace and akinson

LTX2.3 Version V2.4

I have decided to retrain the dataset on a far advanced system now its trained on a server with an rtx6000 pro blackwell for more than a week 24/7 (and yes this was expensive)

so what has changed from V1 to V2.4?

  • the trained video resolution is now at 720P constant

  • image training did improved from 1024p to 1536p

  • added 120 new sound videos for training especially for speech and jaw movements.

  • seperated videos with sound and not sound and trained in different databases

  • trained for T2V and I2V in stages so its nearly equally trained for both now

  • added new pictures to database too but more important overworked the captions fitting better for video training

For settings and workflow i have added my example videos in the training folder the images and some videos has the metadata just put them into comfy

on my workflows was the loral at best between 0.8 and 1.0

the lora is trained on the dev model but also tested for the distilled version

for now still don't have my own workflow done yet so it depends on other workflow don by afroman4peace and akinson

please support my work with an like and look on my other loras and models too

the newest workflow download the training folder.

in all videos the metadata is also included just download the video and put it into Comfy

Important for this workflow is to keep the resolution between 0.4 and 0.92 (480p - 720p)

if you like to support me please give a like and Check out my other models.

Making such loras take a huge amount of cost and time please support my work with a like.

and please check out my other models and loras too ;-)

made by freek22

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I have decided to retrain the dataset on a far advanced system now its trained on a server with an rtx6000 pro blackwell for more than a week 24/7 (and yes this was expensive)

so what has changed from V1 to V2.4?

  • the trained video resolution is now at 720P constant

  • image training did improved from 1024p to 1536p

  • added 120 new sound videos for training especially for speech and jaw movements.

  • seperated videos with sound and not sound and trained in different databases

  • trained for T2V and I2V in stages so its nearly equally trained for both now

  • added new pictures to database too but more important overworked the captions fitting better for video training

  • stable video output up to 25 seconds for i2v and t2v

For settings and workflow i have added my example videos in the training folder the images and some videos has the metadata just put them into comfy

on my workflows was the loral at best between 0.8 and 1.0

the lora is trained on the dev model but also tested for the distilled version

for now still don't have my own workflow done yet so it depends on other workflow don by afroman4peace and akinson

please support my work with an like and look on my other loras and models too

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This is the First full Release Version of the LTX Version of Furry Enhancer Video.

Better to say it's an model pack because

V1.1 is made based on ltx 2.0 training setup so best for the LTX 2.0 model

V1.215 its the main model trained specifically for the ltx 2.3 Version so start usually with that lora

V1.22 More advanced in training but has sound issues.

V1.3 experimental (wip) model trained in different training modes (heavy sound issues)

you find the used workflows and the different model versions in the \"training folder\"

the loras are tested on the dev version and the distilled variant.

what has changed to preview?

  • Trained on the full video database (V1.2 and up) at around 700 videos instead of only 40 videos

  • Also trained on my photo database of ratatoskr overall over 10k pictures

  • Trained for i2v and t2v

  • better overall knowledge and movement .

Note: this is still in development because most of the trained videos are based on my wan2.2 database so its planned to train an v2 this year with video output of that model.

also i don't have my own workflow done yet so it depends on other workflow don by afroman4peace and akinson

please support my work with an like and look on my other loras and models too

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this is an preview version of the first attempt to train the ltx 2.3 model with a very limited dataset

so it's more like an technical demonstration / trial than a fully trained lora.

So don't expect best results yet it's highly experimental.

for workflow i have also added an experimental workflow that was originally made by afroman4peace its made for i2v the lora is not tested for t2v yet.

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High Noise Lora V3

This enhancer version is for Wan 2.2

its trained my own dataset

it's completely synthetic so no real persons or art is used for the dataset.

the biggest change in this dataset is its now completely trained on videos

Changes compared to V2

  • trained now on over 650 Videos

  • better overall movements

  • more emotions

  • way better with comic and anime than V1 and V2

better in sfw and nsfw

for this Version there is also an newtrained Low Noise Model

Note: I used for example the old workflow for this model to compare V3 with V2 if you like the newest workflow download the training folder.

in all videos the metadata is also included just download the video and put it into Comfy

Important for this workflow is to keep the resolution between 0.4 and 0.92 (480p - 720p)

if you like to support me please give a like and Check out my other models.

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Low Noise Lora V3

This enhancer version is for Wan 2.2

its trained my own dataset

it's completely synthetic so no real persons or art is used for the dataset.

the biggest change in this dataset is its now completely trained on videos

Changes compared to V2

  • trained now on over 650 Videos

  • better overall movements

  • more emotions

  • way better with comic and anime than V1 and V2

better in sfw and nsfw

Use this together with V2 or V3 High Noise Model

Note: I used for example the old workflow for this model to compare V3 with V2 if you like the newest workflow download the training folder.

in all videos the metadata is also included just download the video and put it into Comfy

Important for this workflow is to keep the resolution between 0.4 and 0.92 (480p - 720p)

if you like to support me please give a like and Check out my other models.

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High Noise Lora V2

This enhancer version is for Wan 2.2

its trained my own dataset

it's completely synthetic so no real persons or art is used for the dataset.

the biggest change in this dataset is its now completely trained on videos

Changes compared to V1

  • more consistent

  • more specimen

  • better overall movements

  • more stable overall

  • way better with comic and anime than V1

better in sfw and nsfw

i recommend using the V1 Version of the WAN 2.2 I2V V1.0Low Noise

Note: I used for example the old workflow for this model to compare V1 with V1 if you like the newest workflow download the training folder.

Important for this workflow is to keep the resolution between 0.4 and 0.92 (480p - 720p)

if you like to support me please give a like and Check out my other models.

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High Noise Lora:

This enhancer version is for Wan 2.2 its splitted in basically 2 Loras: low and high noise

both loras for I2V are trained on the same dataset. I its my own dataset before i trained with the wan 2.1 Lora but add more pictures and videos

it's completely synthetic so no real persons or art is used for the dataset.

whats the pros of this lora compared to the wan 2.1?

  • more consistent

  • more specimen

better in sfw and nsfw

i recommend using both loras in the video metadata there is a comfy workflow for using it.

if you like to support me please give a like and Check out my other models.

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Low Noise Lora:

This enhancer version is for Wan 2.2 its splitted in basically 2 Loras: low and high noise

both loras for I2V are trained on the same dataset. I its my own dataset before i trained with the wan 2.1 Lora but add more pictures and videos

it's completely synthetic so no real persons or art is used for the dataset.

whats the pros of this lora compared to the wan 2.1?

  • more consistent

  • more specimen

better in sfw and nsfw

i recommend using both loras in the video metadata there is a comfy workflow for using it.

if you like to support me please give a like and Check out my other models.

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High Noise Model

This enhancer version is for Wan 2.2 T2V like the I2V its made for anthro / furry and fantasy creatures sfw and nsfw

its splitted in basically 2 Loras: low and high noise

both loras for T2V are trained on the same dataset. I its my own dataset before i trained with the wan 2.1 Lora but add more pictures and videos

it's completely synthetic so no real persons or art is used for the dataset.

i recommend using both loras in the video metadata there is a comfy workflow for using it.

for the workflow all videos contain the workflows but i also packed the workflow in the \"training\" zip file.

for this workflow i can recommend a step count between 8- 10 steps

the model is only tested with the standard model and wan 2.2 lightning

the model weight in all my testings was 1.0

More information to wan 2.2 t2v you found here

Note: this is V1 of this model so it sometimes still can fail also its very \"spicy\" and need for example descriptions for clothing

Important:

training such loras is very costly so if you like to support me please give a like and Check out my other models too.

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Low Noise Model

This enhancer version is for Wan 2.2 T2V like the I2V its made for anthro / furry and fantasy creatures sfw and nsfw

its splitted in basically 2 Loras: low and high noise

both loras for T2V are trained on the same dataset. I its my own dataset before i trained with the wan 2.1 Lora but add more pictures and videos

it's completely synthetic so no real persons or art is used for the dataset.

i recommend using both loras in the video metadata there is a comfy workflow for using it.

for the workflow all videos contain the workflows but i also packed the workflow in the \"training\" zip file.

for this workflow i can recommend a step count between 8- 10 steps

the model is only tested with the standard model and wan 2.2 lightning

the model weight in all my testings was 1.0

More information to wan 2.2 t2v you found here

Note: this is V1 of this model so it sometimes still can fail also its very \"spicy\" and need for example descriptions for clothing

Important:

training such loras is very costly so if you like to support me please give a like and Check out my other models too.

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First Release Version

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First Release Version

Note training an T2V Lora is not an easy task it did actually take a lot of epoch till it actually worked properly.

the lora needs way more description on the image than the I2V variant if you force a specific output for example clothing it tends to make the character note when the clothing is not described ;-)

also sometimes it fails completely but its still the first release version .

i have tested several wan models and the output may differ a lot with the model i used for the gallery pictures WAN Fusion X to save time.

the used workflow and settings i used for gallery can be found in the soldier cat image.

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V1 First Release Version

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A beautiful Instagram-style young blonde woman sits on a metal bench. The frame captures her from shoulders up. Clean skin, light makeup, glossy lips, well-groomed eyebrows. Her blonde hair falls neatly over one shoulder. Background is softly blurred: hints of a bus stop sign and pavement. The framing is casual, slightly tilted, with mild digital noise.\n(Sound FX: distant traffic hum, footsteps, faint wind)\n\nShot 2: [Extreme Close-up, Abrupt Digital Zoom]\nThe camera snaps closer, slightly oversharpened. A male voice speaks from off-screen, calm but tentative. She looks toward the sound, pauses for half a second, then gives a small, confident smile — practiced but natural, the kind meant for a camera.\n(Dialogue:\n— \"Hi, can I talk to you?\"\n— \"Yes.\")\n\nShot 3: [Close-up, Static Hold]\nThe camera holds on her face. The smile remains, soft and composed. She adjusts her posture slightly, chin lifting a fraction. She does not speak again. The moment lingers, clean and quiet.\n(Sound FX: distant bus braking, soft city ambience)" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/ltx23/lora/GalaxyAce LoRA/extra_data-vid_2808759/125564361.mp4 b/ltx23/lora/GalaxyAce LoRA/extra_data-vid_2808759/125564361.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..7f323d78e4522fdf2e618e8f887b799b6f599665 --- /dev/null +++ b/ltx23/lora/GalaxyAce LoRA/extra_data-vid_2808759/125564361.mp4 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:492d5ebccfeaba63b876b925da60e94a5b509c1d7958271c087e24556cdfae8b +size 1737806 diff --git a/ltx23/lora/GalaxyAce LoRA/extra_data-vid_2808759/125564562.json b/ltx23/lora/GalaxyAce LoRA/extra_data-vid_2808759/125564562.json new file mode 100644 index 0000000000000000000000000000000000000000..5c27d8b9f9cfce9164406401d0eb59ef4e1bb63e --- /dev/null +++ b/ltx23/lora/GalaxyAce LoRA/extra_data-vid_2808759/125564562.json @@ -0,0 +1,24 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/89c1e192-a722-461f-b82b-e76500d7978c/original=true/125564562.mp4", + "nsfwLevel": 1, + "width": 704, + "height": 1280, + "hash": "U~KKyZxuj@of~qofWVofx]R*WBj[RjoLoejs", + "type": "video", + "metadata": { + "hash": "U~KKyZxuj@of~qofWVofx]R*WBj[RjoLoejs", + "size": 4212624, + "audio": false, + "width": 704, + "height": 1280, + "duration": 9.64 + }, + "minor": true, + "poi": false, + "meta": null, + "availability": "Public", + "hasMeta": false, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/ltx23/lora/GalaxyAce LoRA/extra_data-vid_2808759/125564562.mp4 b/ltx23/lora/GalaxyAce LoRA/extra_data-vid_2808759/125564562.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..37b5cfcd54c1f742df58d4b4e911c2916356ef06 --- /dev/null +++ b/ltx23/lora/GalaxyAce LoRA/extra_data-vid_2808759/125564562.mp4 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c477832cdf94b72482e97b58031a2d89eea85edc137997872a39228fdfd35c17 +size 4212624 diff --git a/ltx23/lora/GalaxyAce LoRA/extra_data-vid_2808759/125564619.json b/ltx23/lora/GalaxyAce LoRA/extra_data-vid_2808759/125564619.json new file mode 100644 index 0000000000000000000000000000000000000000..9f267f340716f9270ba0d7ea1601859ff252019e --- /dev/null +++ b/ltx23/lora/GalaxyAce LoRA/extra_data-vid_2808759/125564619.json @@ -0,0 +1,24 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/80a53284-3275-44b0-9ffb-0c62d58a95e1/original=true/125564619.mp4", + "nsfwLevel": 1, + "width": 704, + "height": 1280, + "hash": "UCFFKh%29F~q%~R%D%?cxuIUD%%MV?IAIUWB", + "type": "video", + "metadata": { + "hash": "UCFFKh%29F~q%~R%D%?cxuIUD%%MV?IAIUWB", + "size": 3435893, + "audio": false, + "width": 704, + "height": 1280, + "duration": 9.64 + }, + "minor": false, + "poi": false, + "meta": null, + "availability": "Public", + "hasMeta": false, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/ltx23/lora/GalaxyAce LoRA/extra_data-vid_2808759/125564619.mp4 b/ltx23/lora/GalaxyAce LoRA/extra_data-vid_2808759/125564619.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..6cd6f9a8069dc5d3fccc6decddae4b5cfe65743a --- /dev/null +++ b/ltx23/lora/GalaxyAce LoRA/extra_data-vid_2808759/125564619.mp4 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e6a234a9121d1288a675747dada75251f78950a998874ff1b0ffcb2e68fc25af +size 3435893 diff --git a/ltx23/lora/GalaxyAce LoRA/extra_data-vid_2808759/model_dict-mid_2200329-vid_2808759.json b/ltx23/lora/GalaxyAce LoRA/extra_data-vid_2808759/model_dict-mid_2200329-vid_2808759.json new file mode 100644 index 0000000000000000000000000000000000000000..cb2497a706a9d8d4934b7ee9cef89e4b44fa21fa --- /dev/null +++ b/ltx23/lora/GalaxyAce LoRA/extra_data-vid_2808759/model_dict-mid_2200329-vid_2808759.json @@ -0,0 +1,417 @@ +{ + "id": 2200329, + "name": "GalaxyAce LoRA", + "description": "

📱 GalaxyAce LoRA

🎬 LTX-2.3 added

Model: LTX-2.3
Recommended LoRA Strength: 1.00
Trigger Word: Not required

In LTX 2.3 T2V&I2V ComfyUI Workflow, LoRA is connected immediately after the checkpoint node inside the subgraph

🎬 LTX-2 added

Model: LTX-2
Recommended LoRA Strength: 1.00
Trigger Word: early 2010s low-end android phone footage


This LoRA replicates the early 2010s video style of a Samsung Galaxy Ace smartphone.
The training videos include streets, parks, everyday scenes, casual portraits, and real-life moments typical for low-end Android devices.

The LoRA transfers:

  • color reproduction of the Galaxy Ace camera

  • sensor noise & compression artifacts

  • dynamic range and exposure behavior typical for small sensors

  • lens softness and subtle edge blur

  • subtle motion jitter and handheld feel

  • overall “early 2010s low-end Android phone video” aesthetics

⭐ How to Use

  • LoRA Strength: 1.00

  • Base Model: LTX-2

  • Best with natural scenes: street videos, parks, cafes, casual portraits, travel clips, everyday life

  • Adds subtle imperfections and low-fi realism for video

  • Recommended workflow: official ComfyUI LTX-2 Text-to-Video pipeline

🧪 Notes

  • Ideal for: street videos, diary-style clips, lifestyle captures, travel footage, nature

  • Preserves realism, avoids stylization, reproduces small-sensor behavior

  • Enhances authenticity while keeping motion, lighting, and colors faithful to early 2010s low-end Android look

📷 Z-Image-Turbo (Photos)

Model: Z-Image-Turbo
Recommended LoRA Strength: 1.20

⭐ How to Use

  • LoRA Strength: 1.20

  • Base Model: Z-Image-Turbo

  • Works perfectly with natural, simple prompts

  • Adds subtle imperfections and real-photo feel of a low-megapixel phone camera

🧪 Notes

  • Best results: street photos, portraits, pets, travel shots, nature, everyday objects

  • Maintains realism, avoids stylization

  • Recreates small-sensor characteristics of the original device

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit,Rent,Sell}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 8664415, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 5699, + "thumbsUpCount": 381, + "thumbsDownCount": 0, + "commentCount": 16, + "tippedAmountCount": 110 + }, + "creator": { + "username": "aiguild", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/79a37aeb-a156-479c-bae5-5678c403ef8f/width=96/aiguild.jpeg" + }, + "tags": [ + "style", + "photorealistic" + ], + "modelVersions": [ + { + "id": 2808759, + "index": 0, + "name": "LTX-2.3 GalaxyAce LoRA", + "baseModel": "LTXV 2.3", + "baseModelType": "Standard", + "createdAt": "2026-03-27T19:17:04.405Z", + "publishedAt": "2026-03-27T19:55:00.212Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "covered": false, + "stats": { + "downloadCount": 3075, + "thumbsUpCount": 227, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2694576, + "sizeKB": 1974418.8203125, + "name": "LTX23-GalaxyAce.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-03-27T19:46:16.105Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "F4D8961D", + "AutoV2": "14D25D4160", + "SHA256": "14D25D4160896CE475A4332EAE5F3A153CE08CE310AF7DCEB3328386C0E641C3", + "CRC32": "A2730542", + "BLAKE3": "8F7395B529AD4A07876994D2DE4DC3665E58DB37C9BB58A3FD9B0865921D73BE", + "AutoV3": "F7B4A618728C" + }, + "downloadUrl": "https://civitai.com/api/download/models/2808759", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/a471b994-a9ff-4f4a-9586-e098ff9083e7/original=true/125564361.mp4", + "nsfwLevel": 1, + "width": 704, + "height": 1280, + "hash": "UmIhdF~p?bRj~q%Moej?R*IUIToe%MWBInoe", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/89c1e192-a722-461f-b82b-e76500d7978c/original=true/125564562.mp4", + "nsfwLevel": 1, + "width": 704, + "height": 1280, + "hash": "U~KKyZxuj@of~qofWVofx]R*WBj[RjoLoejs", + "type": "video", + "minor": true, + "poi": false, + "hasMeta": false, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/80a53284-3275-44b0-9ffb-0c62d58a95e1/original=true/125564619.mp4", + "nsfwLevel": 1, + "width": 704, + "height": 1280, + "hash": "UCFFKh%29F~q%~R%D%?cxuIUD%%MV?IAIUWB", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": false, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2808759" + }, + { + "id": 2578168, + "index": 1, + "name": "LTX-2 GalaxyAce LoRA", + "baseModel": "LTXV2", + "baseModelType": "Standard", + "createdAt": "2026-01-08T15:00:00.769Z", + "publishedAt": "2026-01-08T15:24:13.886Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "description": "

📱 GalaxyAce LoRA

🎬 LTX-2 added

Model: LTX-2
Recommended LoRA Strength: 1.00
Trigger Word: early 2010s low-end android phone footage


This LoRA replicates the early 2010s video style of a Samsung Galaxy Ace smartphone.
The training videos include streets, parks, everyday scenes, casual portraits, and real-life moments typical for low-end Android devices.

The LoRA transfers:

  • color reproduction of the Galaxy Ace camera

  • sensor noise & compression artifacts

  • dynamic range and exposure behavior typical for small sensors

  • lens softness and subtle edge blur

  • subtle motion jitter and handheld feel

  • overall “early 2010s low-end Android phone video” aesthetics

⭐ How to Use

  • LoRA Strength: 1.00

  • Base Model: LTX-2

  • Best with natural scenes: street videos, parks, cafes, casual portraits, travel clips, everyday life

  • Adds subtle imperfections and low-fi realism for video

  • Recommended workflow: official ComfyUI LTX-2 Text-to-Video pipeline

🧪 Notes

  • Ideal for: street videos, diary-style clips, lifestyle captures, travel footage, nature

  • Preserves realism, avoids stylization, reproduces small-sensor behavior

  • Enhances authenticity while keeping motion, lighting, and colors faithful to early 2010s low-end Android look

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1.0 addes

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About the merge versions

The merge versions have both versions of the LoRA combined into a larger LoRA. With differing strengths.

I originally tuned the v1 x0.4, v2 x1.0 for nvfp4 ltx 2.3, however after further testing, I wouldn't recommend using this version at full strength for fp8. (ps: if you're having issues with desaturation like in the examples on v2 and the first merge, try using the fp8 or a gguf version instead)

The other version, v1 x0.5, v2 x0.7 was a sweet spot I found when running the fp8 model, it adds a good amount of dynamic motion and doesn't have too many issues. It also seems to be better at prompt following, but it may be a bit less automatic.

Technical explanation: All LoRA weights were scaled, then concatenated along the rank dim, and the alphas were multiplied by 2 (no extra scaling math needed considering both loras have the same rank). This allows the 2 loras to be merged into a single, larger lora, which will have the same effect as the 2 loras being used together. Unlike lora merging using merging and extraction, this method is lossless, and should produce nearly identical results to using the 2 models together.

About the LTX 2.3 version

The new version has been retrained from scratch, I've trained for significantly more steps with a lower learning rate, the dataset was captioned by my nsfwvision v3 model, given some additional information with some of the videos. The captioner was given the video clips at 1 fps, so if you want to indicate a timestamp in your prompt, either put \"one second into the video\" or \"on the second frame\", describing events in order should work decently well.

The model is far from perfect, I wouldn't say it's always better than the previous version, maybe a bit better at prompt understanding. Also, using the distil lora at low steps usually gets you less motion, but I still need to figure out a better workflow to fix some of the noise issues when using CFG, the motion tends to be significantly better with CFG than without, so I would recommend using it if you've got a good workflow.

None of the outputs during training had the issues I had when running the model without distil, so it's probably a user issue.

About T2V

T2V still isn't great, it may be better than it was in the previous version, but you need to give extremely detailed prompts, describe the framing, camera's movement or lack thereof, location of the characters (including pov if it's a pov shot). It's very finnicky, so I2V will pretty much always be easier.

Original info

A multi purpose lora for nsfw content primarily intended for anthro (furry) characters but as usual it'll likely work with regular human characters as well, a successor to the Wan furry loras.

This lora should be capable of producing both furry and non-furry NSFW content with audio.

The showcase vids are all image to video. At least 1280x720 recommended for high quality results, lower res (like 640x360) will still work, but may be lower quality. Showcase vids are mostly 640x360 but some are 1280x720. Black bars are due to resizing, my input images were in 2:3 or 3:2 aspect, when going to 16:9 this would stretch, so I used padding instead.

Examples are generated with nvfp4 dev model with distil lora, using my uncalibrated nvfp4 text encoder.

Supported styles

Supports 2d, 3d and realistic styles for image to video. Text to video is largely untested but likely not going to be great.

Keywords

Keywords such as \"anthro\", \"furry\", and \"anthropomorphic\" can be used to specify

(Written before training finished)

Not good for T2V, use I2V

I2V:

I2V is capable of various poses, perspectives and actions. The characters can still talk (but I do not recommend making a character attempt to talk during oral, for moaning during oral, prompt for \"muffled moaning\".

Foley:

LTX 2 can be used to create foley audio, meaning audio added to an existing video, this lora will work very well for this. [Workflow]

Text encoder info

The idea that abliterated gemma will produce better results than standard gemma as a text encoder is a myth. Abliterated models are lobotomized to forget about refusals, but this also kills other knowledge about banned concepts in the process. Do not use abliterated gemma unless you don't care about the quality of your outputs.

Additionally, since ltx 2 isn't truly censored, the information it picks up from the text encoder ignores censorship info, therefore the outputs will be perfectly fine and retain all knowledge.

Don't believe me? Prompt gemma to say \"fuck\" or other vulgar words, it will refuse. Now ask LTX 2 to make a character say \"fuck\", this will work perfectly fine, this is because LTX 2 still has all the information it needs to use your prompt. In short, don't use abliterated gemma or any finetunes that aren't made for LTX 2 with LTX 2.

Lora info

This lora was trained on a dataset with varied content (2d, 3d and for human content irl), on a dataset consisting of >200 videos with a mix of anthro and human videos. Tagged with an llm based on a still frame and corrected and slightly expanded. Most videos in the dataset include sound.

The lora is rank 64, affecting the full Attention + Feed forward parts of the network, and training with sound enabled.

The videos were preprocessed to various aspect ratio buckets at every matching increment of 25 frames, the videos are up to 20 seconds long, and training was done with various different framerates, if a video had a framerate greater than 25fps, it was lowered to 25fps, if the video had a framerate lower than 25fps, it was kept.

Trained using the official ltx 2 trainer.

Want to support future training?

If you want to support me financially to train more models, feel free to send me a code for runpod credit. I don't have any other donation options available right now.

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Merged version of v1 and v2 similar to the other merged version, this version might work better on fp8 compared to the other version. In my experience the other version worked best at low strength like 0.7 when using with fp8, but full strength with nvfp4, this version should be decent at 1 strength on the fp8 model.

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A merged version containing the weights from v1 and v2, the loras were merged by concatenating v1 and v2 along the rank dimension, with their weights scaled. This lora should give nearly identical results to using v1 at 0.4 strength, together with v2 at full strength.

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Multi purpose sex lora/extra_data-vid_2783583/model_dict-mid_2310920-vid_2783583.json b/ltx23/lora/LTX 2&2.3 [I2V] NSFW (+furry) - Multi purpose sex lora/extra_data-vid_2783583/model_dict-mid_2310920-vid_2783583.json new file mode 100644 index 0000000000000000000000000000000000000000..88884ff803b3fee22b7cd95e0480287e63261c30 --- /dev/null +++ b/ltx23/lora/LTX 2&2.3 [I2V] NSFW (+furry) - Multi purpose sex lora/extra_data-vid_2783583/model_dict-mid_2310920-vid_2783583.json @@ -0,0 +1,915 @@ +{ + "id": 2310920, + "name": "LTX 2/2.3 [I2V] NSFW (+furry) - Multi purpose sex lora", + "description": "

About the merge versions

The merge versions have both versions of the LoRA combined into a larger LoRA. With differing strengths.

I originally tuned the v1 x0.4, v2 x1.0 for nvfp4 ltx 2.3, however after further testing, I wouldn't recommend using this version at full strength for fp8. (ps: if you're having issues with desaturation like in the examples on v2 and the first merge, try using the fp8 or a gguf version instead)

The other version, v1 x0.5, v2 x0.7 was a sweet spot I found when running the fp8 model, it adds a good amount of dynamic motion and doesn't have too many issues. It also seems to be better at prompt following, but it may be a bit less automatic.

Technical explanation: All LoRA weights were scaled, then concatenated along the rank dim, and the alphas were multiplied by 2 (no extra scaling math needed considering both loras have the same rank). This allows the 2 loras to be merged into a single, larger lora, which will have the same effect as the 2 loras being used together. Unlike lora merging using merging and extraction, this method is lossless, and should produce nearly identical results to using the 2 models together.

About the LTX 2.3 version

The new version has been retrained from scratch, I've trained for significantly more steps with a lower learning rate, the dataset was captioned by my nsfwvision v3 model, given some additional information with some of the videos. The captioner was given the video clips at 1 fps, so if you want to indicate a timestamp in your prompt, either put \"one second into the video\" or \"on the second frame\", describing events in order should work decently well.

The model is far from perfect, I wouldn't say it's always better than the previous version, maybe a bit better at prompt understanding. Also, using the distil lora at low steps usually gets you less motion, but I still need to figure out a better workflow to fix some of the noise issues when using CFG, the motion tends to be significantly better with CFG than without, so I would recommend using it if you've got a good workflow.

None of the outputs during training had the issues I had when running the model without distil, so it's probably a user issue.

About T2V

T2V still isn't great, it may be better than it was in the previous version, but you need to give extremely detailed prompts, describe the framing, camera's movement or lack thereof, location of the characters (including pov if it's a pov shot). It's very finnicky, so I2V will pretty much always be easier.

Original info

A multi purpose lora for nsfw content primarily intended for anthro (furry) characters but as usual it'll likely work with regular human characters as well, a successor to the Wan furry loras.

This lora should be capable of producing both furry and non-furry NSFW content with audio.

The showcase vids are all image to video. At least 1280x720 recommended for high quality results, lower res (like 640x360) will still work, but may be lower quality. Showcase vids are mostly 640x360 but some are 1280x720. Black bars are due to resizing, my input images were in 2:3 or 3:2 aspect, when going to 16:9 this would stretch, so I used padding instead.

Examples are generated with nvfp4 dev model with distil lora, using my uncalibrated nvfp4 text encoder.

Supported styles

Supports 2d, 3d and realistic styles for image to video. Text to video is largely untested but likely not going to be great.

Keywords

Keywords such as \"anthro\", \"furry\", and \"anthropomorphic\" can be used to specify

(Written before training finished)

Not good for T2V, use I2V

I2V:

I2V is capable of various poses, perspectives and actions. The characters can still talk (but I do not recommend making a character attempt to talk during oral, for moaning during oral, prompt for \"muffled moaning\".

Foley:

LTX 2 can be used to create foley audio, meaning audio added to an existing video, this lora will work very well for this. [Workflow]

Text encoder info

The idea that abliterated gemma will produce better results than standard gemma as a text encoder is a myth. Abliterated models are lobotomized to forget about refusals, but this also kills other knowledge about banned concepts in the process. Do not use abliterated gemma unless you don't care about the quality of your outputs.

Additionally, since ltx 2 isn't truly censored, the information it picks up from the text encoder ignores censorship info, therefore the outputs will be perfectly fine and retain all knowledge.

Don't believe me? Prompt gemma to say \"fuck\" or other vulgar words, it will refuse. Now ask LTX 2 to make a character say \"fuck\", this will work perfectly fine, this is because LTX 2 still has all the information it needs to use your prompt. In short, don't use abliterated gemma or any finetunes that aren't made for LTX 2 with LTX 2.

Lora info

This lora was trained on a dataset with varied content (2d, 3d and for human content irl), on a dataset consisting of >200 videos with a mix of anthro and human videos. Tagged with an llm based on a still frame and corrected and slightly expanded. Most videos in the dataset include sound.

The lora is rank 64, affecting the full Attention + Feed forward parts of the network, and training with sound enabled.

The videos were preprocessed to various aspect ratio buckets at every matching increment of 25 frames, the videos are up to 20 seconds long, and training was done with various different framerates, if a video had a framerate greater than 25fps, it was lowered to 25fps, if the video had a framerate lower than 25fps, it was kept.

Trained using the official ltx 2 trainer.

Want to support future training?

If you want to support me financially to train more models, feel free to send me a code for runpod credit. I don't have any other donation options available right now.

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Merged version of v1 and v2 similar to the other merged version, this version might work better on fp8 compared to the other version. In my experience the other version worked best at low strength like 0.7 when using with fp8, but full strength with nvfp4, this version should be decent at 1 strength on the fp8 model.

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The entire scene is constructed from vibrant, saturated sculpted clay materials, revealing visible fingerprints, hand-shaped forms, soft imperfections, layered clay details, subtle tool marks, and tactile stop-motion textures. In the midground, a young fox, its body meticulously sculpted from rich, burnt orange clay with a creamy white clay belly and glossy black clay tips on its ears and paws, takes center stage. Its shiny black bead-like eyes blink with alert curiosity from a gently rounded face with a small, sculpted black clay nose, and its slender clay tail, tipped in white, twitches softly. The clearing itself is a mosaic of emerald green and mossy brown clay grass, with individual hand-pressed blades swaying gently, giving way to clusters of vibrant red and yellow clay toadstools with rounded handmade caps. Towering clay trees with mottled trunks and dense canopies of individually pressed, layered clay leaves shimmer softly in the background. A small, shimmering blue and white swirled clay brook ripples gently through the back, all surfaces showing slight imperfections and rounded handmade shapes. The camera, positioned slightly above, slowly pushes forward and gently lowers, tracking alongside the fox as it takes a hesitant step forward onto the clay grass with its delicate, rounded paws. Its body, built from assembled clay pieces, wiggles slightly as it sniffs the air before lowering its head to nibble gently at a particularly vibrant cluster of crimson clay berries on a low-lying clay bush, its jaw moving with soft, audible clay-on-clay sounds. As it nibbles, its bead-like eyes, wide and playful, look up towards the viewer, a faint smile sculpted onto its face, and it murmurs in a warm, high-pitched voice, \"Mmm, sweet treats!\" Soft, warm afternoon sunlight, emanating from the upper right, casts gentle shadows beneath the clay toadstools and between the layered clay forms of the fox's body, creating a comforting golden glow. The air is filled with the gentle rustling of clay leaves, the soft gurgle of the clay brook, and the faint, sweet chirping of unseen clay birds. The entire scene feels handcrafted, tactile, soft, dimensional, and physically built like a miniature stop-motion set." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/ltx23/lora/LTX 2.3 - Claymation Style/extra_data-vid_2839415/126743666.mp4 b/ltx23/lora/LTX 2.3 - Claymation Style/extra_data-vid_2839415/126743666.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..1ba70c51af1bbd5ad0fc903b073fb36ef164ba20 --- /dev/null +++ b/ltx23/lora/LTX 2.3 - Claymation Style/extra_data-vid_2839415/126743666.mp4 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:499c0ce80fc5f89ecabce75533269acd4a3f3809b719a9d22164b033ffaa0ba2 +size 10504167 diff --git a/ltx23/lora/LTX 2.3 - Claymation Style/extra_data-vid_2839415/model_dict-mid_2526420-vid_2839415.json b/ltx23/lora/LTX 2.3 - Claymation Style/extra_data-vid_2839415/model_dict-mid_2526420-vid_2839415.json new file mode 100644 index 0000000000000000000000000000000000000000..57b7be9ecb4be5300a068c591a95049ead8971c7 --- /dev/null +++ b/ltx23/lora/LTX 2.3 - Claymation Style/extra_data-vid_2839415/model_dict-mid_2526420-vid_2839415.json @@ -0,0 +1,365 @@ +{ + "id": 2526420, + "name": "LTX 2.3 - Claymation Style", + "description": "

This LoRA generates a handcrafted claymation-style diorama inspired by classic stop-motion animation. Subjects appear sculpted from soft clay with visible fingerprints, hand-shaped textures, layered clay details, and miniature set-style environments.

Characters, animals, and objects look physically modeled by hand, with rounded forms, stylized proportions, and expressive features. Scenes resemble miniature film sets built from sculpted clay materials, often with warm cinematic lighting and shallow depth of field that enhances the handcrafted look.

This model is designed to recreate the nostalgic charm of traditional stop-motion animation, making images feel tactile, playful, and full of personality.

The text to video workflow can be found HERE just swap out the lora and prompt.

Key Style Features

  • Hand-sculpted clay characters

  • Visible clay textures and fingerprints

  • Rounded, stylized proportions

  • Miniature diorama environments

  • Stop-motion animation aesthetic

  • Soft cinematic lighting

  • Warm storybook tone

  • Shallow depth-of-field look

  • Textured clay surfaces

  • Handmade miniature props and scenery

Recommended Trigger Words

Use one or more:

  • claymation style

  • stop motion clay

  • handcrafted clay character

  • clay diorama

  • sculpted clay figure

  • miniature clay scene

  • clay animation style

Good For

  • Storybook characters

  • Fantasy creatures

  • Cozy indoor scenes

  • Miniature environments

  • Stylized villages

  • Kitchen scenes

  • Forest dioramas

  • Children's illustration style imagery

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Soft Enhance LoRa

This soft enhance LoRa for text to video, is a natural detail enhancer LoRA made for users who want a cleaner, more refined look. The text to video workflow can be found HERE just swap out the lora and prompt. All the sample vids are text to video.

It adds subtle detail, improves overall clarity, and helps soften some of the stronger contrast characteristics of LTX 2.3. The result is a smoother, more natural finish that keeps detail present without making the image feel overly sharp.

This is the softer counterpart to Crisp Enhance, which pushes a sharper, more cinematic beautifier-style look. Both LoRAs can be used together and balanced at different strengths to create a custom enhancer look depending on the scene and the amount of sharpness or softness you want.

This LoRa is Good for:

* Natural-looking enhancement

* Softer detail recovery

* Reducing harsh contrast

* Smoother skin and cleaner tonal transitions

* Dialing in a balanced look when mixed with Crisp Enhance

* Can be used on other styles, not just realism

Use Soft Enhance when you want added detail and polish, but with a gentler, more organic result.

Crisp Enhance LoRa

Crisp Enhance is a sharp detail enhancer LoRA made for users who want a cleaner, more defined, cinematic look.

It increases perceived sharpness, strengthens micro-detail, and enhances contrast to give images and video frames a more polished, high-definition appearance. The result is a crisp, cinematic finish that brings out texture and structure while adding a subtle beautifier-style clarity.

This is the sharper counterpart to Soft Enhance, which focuses on smoothing contrast and producing a more natural, organic look. Both LoRAs can be used together and balanced at different strengths to create a custom enhancer look depending on the scene and the level of sharpness or softness you want.

This LoRa is Good for:

  • Sharper detail enhancement

  • Cinematic-style clarity

  • Strengthening texture and edge definition

  • Beautifier-style polish

  • Dialing in a balanced look when mixed with Soft Enhance

Use Crisp Enhance when you want stronger detail, cleaner edges, and a more cinematic, high-definition result.

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Crisp Enhance

Crisp Enhance is a sharp detail enhancer LoRA made for users who want a cleaner, more defined, cinematic look.

It increases perceived sharpness, strengthens micro-detail, and enhances contrast to give images and video frames a more polished, high-definition appearance. The result is a crisp, cinematic finish that brings out texture and structure while adding a subtle beautifier-style clarity.

This is the sharper counterpart to Soft Enhance, which focuses on smoothing contrast and producing a more natural, organic look. Both LoRAs can be used together and balanced at different strengths to create a custom enhancer look depending on the scene and the level of sharpness or softness you want.

This LoRa is Good for:

  • Sharper detail enhancement

  • Cinematic-style clarity

  • Strengthening texture and edge definition

  • Beautifier-style polish

  • Dialing in a balanced look when mixed with Soft Enhance

Use Crisp Enhance when you want stronger detail, cleaner edges, and a more cinematic, high-definition result.

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Soft Enhance

Soft Enhance is a natural detail enhancer LoRA made for users who want a cleaner, more refined look.

It adds subtle detail, improves overall clarity, and helps soften some of the stronger contrast characteristics of LTX 2.3. The result is a smoother, more natural finish that keeps detail present without making the image feel overly sharp.

This is the softer counterpart to Crisp Enhance, which pushes a sharper, more cinematic beautifier-style look. Both LoRAs can be used together and balanced at different strengths to create a custom enhancer look depending on the scene and the amount of sharpness or softness you want.

This LoRa is Good for:

* Natural-looking enhancement

* Softer detail recovery

* Reducing harsh contrast

* Smoother skin and cleaner tonal transitions

* Dialing in a balanced look when mixed with Crisp Enhance

Use Soft Enhance when you want added detail and polish, but with a gentler, more organic result.

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Soft Enhance LoRa

This soft enhance LoRa for text to video, is a natural detail enhancer LoRA made for users who want a cleaner, more refined look. The text to video workflow can be found HERE just swap out the lora and prompt. All the sample vids are text to video.

It adds subtle detail, improves overall clarity, and helps soften some of the stronger contrast characteristics of LTX 2.3. The result is a smoother, more natural finish that keeps detail present without making the image feel overly sharp.

This is the softer counterpart to Crisp Enhance, which pushes a sharper, more cinematic beautifier-style look. Both LoRAs can be used together and balanced at different strengths to create a custom enhancer look depending on the scene and the amount of sharpness or softness you want.

This LoRa is Good for:

* Natural-looking enhancement

* Softer detail recovery

* Reducing harsh contrast

* Smoother skin and cleaner tonal transitions

* Dialing in a balanced look when mixed with Crisp Enhance

* Can be used on other styles, not just realism

Use Soft Enhance when you want added detail and polish, but with a gentler, more organic result.

Crisp Enhance LoRa

Crisp Enhance is a sharp detail enhancer LoRA made for users who want a cleaner, more defined, cinematic look.

It increases perceived sharpness, strengthens micro-detail, and enhances contrast to give images and video frames a more polished, high-definition appearance. The result is a crisp, cinematic finish that brings out texture and structure while adding a subtle beautifier-style clarity.

This is the sharper counterpart to Soft Enhance, which focuses on smoothing contrast and producing a more natural, organic look. Both LoRAs can be used together and balanced at different strengths to create a custom enhancer look depending on the scene and the level of sharpness or softness you want.

This LoRa is Good for:

  • Sharper detail enhancement

  • Cinematic-style clarity

  • Strengthening texture and edge definition

  • Beautifier-style polish

  • Dialing in a balanced look when mixed with Soft Enhance

Use Crisp Enhance when you want stronger detail, cleaner edges, and a more cinematic, high-definition result.

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Crisp Enhance

Crisp Enhance is a sharp detail enhancer LoRA made for users who want a cleaner, more defined, cinematic look.

It increases perceived sharpness, strengthens micro-detail, and enhances contrast to give images and video frames a more polished, high-definition appearance. The result is a crisp, cinematic finish that brings out texture and structure while adding a subtle beautifier-style clarity.

This is the sharper counterpart to Soft Enhance, which focuses on smoothing contrast and producing a more natural, organic look. Both LoRAs can be used together and balanced at different strengths to create a custom enhancer look depending on the scene and the level of sharpness or softness you want.

This LoRa is Good for:

  • Sharper detail enhancement

  • Cinematic-style clarity

  • Strengthening texture and edge definition

  • Beautifier-style polish

  • Dialing in a balanced look when mixed with Soft Enhance

Use Crisp Enhance when you want stronger detail, cleaner edges, and a more cinematic, high-definition result.

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Soft Enhance

Soft Enhance is a natural detail enhancer LoRA made for users who want a cleaner, more refined look.

It adds subtle detail, improves overall clarity, and helps soften some of the stronger contrast characteristics of LTX 2.3. The result is a smoother, more natural finish that keeps detail present without making the image feel overly sharp.

This is the softer counterpart to Crisp Enhance, which pushes a sharper, more cinematic beautifier-style look. Both LoRAs can be used together and balanced at different strengths to create a custom enhancer look depending on the scene and the amount of sharpness or softness you want.

This LoRa is Good for:

* Natural-looking enhancement

* Softer detail recovery

* Reducing harsh contrast

* Smoother skin and cleaner tonal transitions

* Dialing in a balanced look when mixed with Crisp Enhance

Use Soft Enhance when you want added detail and polish, but with a gentler, more organic result.

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Water drips rhythmically from an unseen crevice, echoing softly, and distant, faint rustles of leaves can be heard as he takes another hesitant step, his eyes wide and darting, and whispers nervously, \"Is... anyone there?\" his small mouth forming the words with visible effort." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/ltx23/lora/LTX 2.3 - Fantasy Puppet/extra_data-vid_2844253/126937197.mp4 b/ltx23/lora/LTX 2.3 - Fantasy Puppet/extra_data-vid_2844253/126937197.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..83dfbd96bbc997e9d586fd30d15dbd1f1bdcd2e0 --- /dev/null +++ b/ltx23/lora/LTX 2.3 - Fantasy Puppet/extra_data-vid_2844253/126937197.mp4 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fdcea6dbe28a8a2ddd83f34f7fc089882cd692844b8296d3dfedb569c8718922 +size 6290912 diff --git a/ltx23/lora/LTX 2.3 - Fantasy Puppet/extra_data-vid_2844253/126937203.json b/ltx23/lora/LTX 2.3 - Fantasy Puppet/extra_data-vid_2844253/126937203.json new file mode 100644 index 0000000000000000000000000000000000000000..58c64fbc8a088b4269a6a1271d85213da411da17 --- /dev/null +++ b/ltx23/lora/LTX 2.3 - Fantasy Puppet/extra_data-vid_2844253/126937203.json @@ -0,0 +1,26 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/e47f8c10-3bf1-42db-9fcf-5b4378ef1488/original=true/126937203.mp4", + "nsfwLevel": 2, + "width": 1920, + "height": 1024, + "hash": "U596?oog?F};v}EMRjxa0zs.NIE257s-NII=", + "type": "video", + "metadata": { + "hash": "U596?oog?F};v}EMRjxa0zs.NIE257s-NII=", + "size": 7271512, + "audio": false, + "width": 1920, + "height": 1024, + "duration": 8.042 + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "6u8p3t, A handcrafted fantasy puppet character inspired by Jim Henson's Labyrinth, filmed like a cinematic fantasy movie scene on a physical set: A scruffy, long-necked puppet sprite, its body a tangle of worn, iridescent feathers with patches of mossy felt, its head topped with a tiny, crooked brass monocle on one eye and a pair of tarnished brass goggles pushed up onto its forehead, its slender, clawed fingers encased in thick, mended leather gloves with mismatched stitching and visible seams, carefully reaching and pulling at a large, luminous crystal shard embedded in the ancient, rune-carved wall of a torchlit subterranean crystal tunnel beneath a ruined castle. The sprite's expressive, glossy amber eyes squint with focused intensity as it slowly twists and pries the jagged crystal, its feathered neck craning, its worn fabric costume rustling softly against the wet stone as dust motes dance in the flickering, warm torchlight that casts dramatic highlights and deep shadows across the sparkling, multi-faceted crystal formations of the foreground, midground action, and deep cavernous background. A low-angle camera drifts past foreground stalagmites and glittering crystal veins, then gently arcs around the sprite as it labors, revealing the full tactile detail of its handcrafted form, its tattered gloves scraping against the raw crystal, before pushing slowly towards its face as it whispers with focused intensity, \"Just... a little more,\" its small, sculpted mouth moving subtly with the words. Water droplets occasionally splash from unseen stalactites, mixing with the gentle scrape of crystal against stone, the soft rustle of feathers, and a faint, magical hum resonating through the tunnel." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/ltx23/lora/LTX 2.3 - Fantasy Puppet/extra_data-vid_2844253/126937203.mp4 b/ltx23/lora/LTX 2.3 - Fantasy Puppet/extra_data-vid_2844253/126937203.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..6f8669bd69443fc4a5a111e1c110efff3b8fc632 --- /dev/null +++ b/ltx23/lora/LTX 2.3 - Fantasy Puppet/extra_data-vid_2844253/126937203.mp4 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:42ada9c18b6704c2640cb4eab54abe12594e8b8a0389040c565e5e272ed60a5e +size 7271512 diff --git a/ltx23/lora/LTX 2.3 - Fantasy Puppet/extra_data-vid_2844253/126937208.json b/ltx23/lora/LTX 2.3 - Fantasy Puppet/extra_data-vid_2844253/126937208.json new file mode 100644 index 0000000000000000000000000000000000000000..a1d139bf86eb1aa83ea5e591e55fce47500c35c8 --- /dev/null +++ b/ltx23/lora/LTX 2.3 - Fantasy Puppet/extra_data-vid_2844253/126937208.json @@ -0,0 +1,26 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/aefe694f-dbbb-4a5e-a186-87f814f109be/original=true/126937208.mp4", + "nsfwLevel": 2, + "width": 1920, + "height": 1024, + "hash": "UACPIi0N0Msl9b^%RPE2~VE2IUxYtRt6M{Rj", + "type": "video", + "metadata": { + "hash": "UACPIi0N0Msl9b^%RPE2~VE2IUxYtRt6M{Rj", + "size": 8707074, + "audio": false, + "width": 1920, + "height": 1024, + "duration": 12.375 + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "6u8p3t, A slow, low-angle push past a crumbling stone pillar, arcing gently to reveal a leathery desert puppet trader, inspired by Jim Henson's Labyrinth, standing in a windswept canyon passage lined with towering, intricately carved stone figures depicting ancient desert guardians, partially eroded by centuries of sand; the trader, a handcrafted puppet with a gaunt, sun-wizened face, prominent brow ridges, deep-set glossy amber eyes conveying wary watchfulness, an aquiline nose, and a thin, slightly crooked mouth, his cracked, leathery-textured skin showing visible seams and slight paint chips, wears a patchwork tunic of faded earth tones, a heavy woven cloak, and several layered, frayed scarves, adorned with bead charms made of polished bone and stone; he carefully adjusts a worn leather satchel, his fingers brushing against its scuffed surface, shoulders hunching slightly against the invisible force of the wind, as he slowly scans the horizon, his leathery boots kicking up fine red dust, checking his supplies before moving further into the treacherous path; fine red dust motes dance in the golden hour light filtering through high canyon cracks, casting long, dramatic shadows and highlighting the puppet's textured skin and the rough, eroded sandstone of the statues, while the slow, sinuous drift of unseen desert fog threads through distant crags; the scene is rich with tactile details: uneven stitching on the cloak, worn paint on the statues, scuffed boots, and the subtle glint of the bead charms as the scarves flutter slightly; \"It's always the wind that warns you first, not the sand,\" he whispers with a dry, gravelly tone, his mouth moving subtly with the words; the low groan of wind through stone, the subtle rattle of bead charms, the scuff of leathery boots on fine dust, and the distant, echoing cry of a desert bird fill the air." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/ltx23/lora/LTX 2.3 - Fantasy Puppet/extra_data-vid_2844253/126937208.mp4 b/ltx23/lora/LTX 2.3 - Fantasy Puppet/extra_data-vid_2844253/126937208.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..201777a579db99c7bff2a2fad573f6a11402660d --- /dev/null +++ b/ltx23/lora/LTX 2.3 - Fantasy Puppet/extra_data-vid_2844253/126937208.mp4 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e516a7cc2364195538662e66c869a6297023cf09cc773bd943c2c4986a8fbf0f +size 8707074 diff --git a/ltx23/lora/LTX 2.3 - Fantasy Puppet/extra_data-vid_2844253/model_dict-mid_2530764-vid_2844253.json b/ltx23/lora/LTX 2.3 - Fantasy Puppet/extra_data-vid_2844253/model_dict-mid_2530764-vid_2844253.json new file mode 100644 index 0000000000000000000000000000000000000000..af4592311d38307db766f41763ead5bee9cdd32d --- /dev/null +++ b/ltx23/lora/LTX 2.3 - Fantasy Puppet/extra_data-vid_2844253/model_dict-mid_2530764-vid_2844253.json @@ -0,0 +1,350 @@ +{ + "id": 2530764, + "name": "LTX 2.3 - Fantasy Puppet", + "description": "

This LoRA creates a fantasy puppet cinematic style where characters and environments look physically built like handcrafted fantasy puppets and practical miniature film sets. Scenes feature stitched fabrics, worn felt, burlap, leather straps, mossy surfaces, frayed clothing, hand-sculpted faces, glossy eyes, and tactile handcrafted detailing. The result feels like a fantasy movie scene made with physical puppets, textured materials, and atmospheric set design.

Objects, characters, and environments appear constructed from layered physical materials such as felt, fur, burlap, leather, velvet, moss, wood, stone, brass, and worn fabric, with visible seams, stitching, material wear, and handcrafted assembly details. Lighting naturally highlights surface texture, costume layering, facial sculpting, and physical set depth, giving a cinematic fantasy look while preserving the handcrafted puppet aesthetic.

The text to video workflow can be found HERE just swap out the lora and prompt.

Works Especially Well For

Character-driven scenes

Creature and animal subjects

Storytelling compositions

Portrait and full-body characters

Interior environments

Exterior environments

Fantasy storytelling scenes

Atmospheric cinematic scenes

Practical miniature-style environments

Narrative fantasy moments

Key Visual Traits

Handcrafted puppet characters

Visible stitching and seams

Worn felt, burlap, velvet, and leather materials

Glossy expressive eyes

Hand-sculpted asymmetrical faces

Moss, fur, and fabric texture

Frayed costume edges and patched clothing

Miniature fantasy set environments

Torchlight, candlelight, lantern light, and moonlight

Atmospheric fog, dust, and drifting mist

Physical material realism

Story-driven cinematic fantasy mood

Main Trigger Word

6u8p3t

(should still work without this trigger word)

Other Trigger Words That Help

A handcrafted fantasy puppet character inspired by Jim Henson's Labyrinth

fantasy puppet style
handcrafted fantasy puppet
labyrinth-style puppet character
cinematic fantasy puppet
puppet fantasy creature
storybook fantasy puppet
handmade fantasy puppet
practical puppet fantasy

Best Used With

Any subject rendered as a handcrafted puppet

Human-like puppet characters

Creature puppet characters

Animal puppet characters

Story-driven puppet scenes

Cinematic puppet compositions

Miniature fantasy environments

Notes

This LoRA is designed to maintain consistent puppet material identity—everything in the scene should appear constructed from physical handcrafted materials, including characters, props, costumes, and environments.

All elements should visually read as:

Handcrafted puppet characters

Layered fabric, felt, burlap, and leather materials

Visible stitching and seams

Hand-sculpted facial features

Physical fantasy set design

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She stands amidst the waist-deep, rippling waters of a flooded temple court, her expression one of intense, grim focus. Her ornate silver filigree robes, now dark and heavy with water, cling to her form, the intricate silver threads dulling slightly in the lashing rain, while several large, ancient-looking crystal rings catch cold storm light on her slender, upraised hand. As the camera performs a smooth, slow arc, circling slightly past crumbling archways and moss-covered carved figures of broken gods, it reveals the full scene: a halo of intensely glowing blue runes burns around her outstretched palm, casting an eerie light that reflects deeply in the churning water of the submerged steps and across her wet skin. Lyra's lips move, \"The ancient pact is sealed.\" The cold, dramatic storm light, interspersed with flashes of distant lightning, illuminates the tactile textures of her sodden robes, the wet, rough stone of the ancient temple, and the vibrant, pulsing blue of the magic. Rain lashes down relentlessly, creating dynamic ripples and splashes, while the runes themselves flicker and surge with energy. Environmental sounds fill the air: the ceaseless drum of rain on stone, the mournful howl of wind through the ruins, the deep rumble of distant thunder, and a faint, resonant hum emanating from the active, glowing runes." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/ltx23/lora/LTX 2.3 - Fantasy Realism/extra_data-vid_2855640/127369512.mp4 b/ltx23/lora/LTX 2.3 - Fantasy Realism/extra_data-vid_2855640/127369512.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..2beaf5f57b045f251c7629c935def214403e0a7c --- /dev/null +++ b/ltx23/lora/LTX 2.3 - Fantasy Realism/extra_data-vid_2855640/127369512.mp4 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:527bc521f84a15f33b1519800a7b21dc5cdda93698c7bd017010a16d959ce4bc +size 7802695 diff --git a/ltx23/lora/LTX 2.3 - Fantasy Realism/extra_data-vid_2855640/model_dict-mid_2540961-vid_2855640.json b/ltx23/lora/LTX 2.3 - Fantasy Realism/extra_data-vid_2855640/model_dict-mid_2540961-vid_2855640.json new file mode 100644 index 0000000000000000000000000000000000000000..9f721d6fc8da17dbd926ae883000c20ee400c758 --- /dev/null +++ b/ltx23/lora/LTX 2.3 - Fantasy Realism/extra_data-vid_2855640/model_dict-mid_2540961-vid_2855640.json @@ -0,0 +1,365 @@ +{ + "id": 2540961, + "name": "LTX 2.3 - Fantasy Realism", + "description": "

This LoRA creates a cinematic fantasy realism live-action film look (THE DATASET THAT CREATED THIS LORA DID NOT USE ANY IP) its a grounded high-fantasy cinematic style, NOT actual stills or images from any movies or TV shows. (Workflow used to create sample videos can be found HERE. All sample video's are text to video. NOT image to video.

where characters and environments appear as realistic live-action fantasy film assets. Scenes feature natural skin texture, detailed fabrics, realistic creatures, practical materials, grounded lighting, atmospheric environments, and cinematic composition. The result feels like a scene from a modern high-end fantasy film with believable characters and immersive environments.

Objects, characters, and environments appear constructed as real-world practical fantasy elements with realistic materials, natural proportions, and grounded physical detail. Lighting emphasizes cinematic realism, environmental depth, volumetric atmosphere, and dramatic mood while maintaining the believable look typical of premium live-action fantasy cinema.

Works Especially Well For

Character-driven scenes

Creature and animal subjects

Fantasy storytelling compositions

Portrait and full-body characters

Interior environments

Exterior environments

High-fantasy storytelling scenes

Epic cinematic moments

Creature interaction scenes

Mythical encounters

Narrative fantasy moments

Key Visual Traits

Live-action fantasy film characters

Realistic skin texture and facial detail

Natural fabric movement and material realism

Believable creature anatomy and surfaces

Grounded proportions and physical realism

Volumetric lighting and atmospheric depth

Cinematic color grading

Detailed environmental textures

Natural motion realism

Practical fantasy world design

Story-driven cinematic fantasy mood

High-end fantasy film rendering look

Main Trigger Word

f4nt4sy

(should still work without this trigger word)

Other Trigger Words That Help

cinematic fantasy realism

premium live-action fantasy cinema shot

fantasy realism film look

realistic fantasy character

high-end fantasy film style

live-action fantasy scene

cinematic medieval fantasy

realistic fantasy creature

epic fantasy film lighting

grounded fantasy realism

fantasy cinema composition

Best Used With

Any subject rendered as a realistic fantasy film character

Human characters

Creature characters

Animal characters

Epic fantasy storytelling scenes

Mythical creature encounters

Cinematic fantasy compositions

Realistic environments

Fantasy narrative moments

Medieval or mythical worlds

High-detail creature interactions

Notes

This LoRA is designed to maintain consistent cinematic fantasy realism identity across all elements in the scene.

All elements should visually read as:

Realistic live-action fantasy characters

Natural material and fabric realism

Believable physical proportions

Detailed creature realism

Cinematic fantasy lighting

Grounded environmental realism

Immersive fantasy film world design

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--git a/ltx23/lora/LTX 2.3 - I2V Better Breasts motion and jiggle/LTX2.3_Breasts_Jiggle_Physics-mid_2536021-vid_2850154.csv b/ltx23/lora/LTX 2.3 - I2V Better Breasts motion and jiggle/LTX2.3_Breasts_Jiggle_Physics-mid_2536021-vid_2850154.csv new file mode 100644 index 0000000000000000000000000000000000000000..fd69f83dd0a613bdbb1e31ba2844ad75f610bfb9 --- /dev/null +++ b/ltx23/lora/LTX 2.3 - I2V Better Breasts motion and jiggle/LTX2.3_Breasts_Jiggle_Physics-mid_2536021-vid_2850154.csv @@ -0,0 +1,7 @@ +hash_name, hash_id +AutoV1, 4F461E3F +AutoV2, D9DDF98AC7 +SHA256, D9DDF98AC7A326C0C36CFE115389693AB3FB50A59D13565BE04D5F77448A8F62 +CRC32, FAECE46C +BLAKE3, 240213D568F54B30D8857EF8E0AEC2893BCAED5C212576C6E9886AB4D2654B60 +AutoV3, 56810A65F013 \ No newline at end of file diff --git a/ltx23/lora/LTX 2.3 - I2V Better Breasts motion and jiggle/LTX2.3_Breasts_Jiggle_Physics-mid_2536021-vid_2850154.safetensors b/ltx23/lora/LTX 2.3 - I2V Better Breasts motion and 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+1,101 @@ +{ + "id": 2536021, + "name": "LTX 2.3 - I2V Better Breasts motion and jiggle", + "description": "

Tip appreciated if you enjoy the work, these take a lot of time to create! https://ko-fi.com/misticrain69

A lora for giving breasts bounce and jiggle physics. I noticed that default LTX doesn't have a lot of breast movement so I trained this lora.

Should work just fine on non furry generations as well.

I use it at a 1.0 strength.

! If you post things in the gallery that violate the TOS I will block and report you. Don't do this shit.

For 18+ only. This is NOT to be used for any illegal or unethical purposes or on any real person or likeness. Don't be fucking sus.

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A lora for giving breasts bounce and jiggle physics. I noticed that default LTX doesn't have a lot of breast movement so I trained this lora.

Should work just fine on non furry generations as well.

I use it at a 1.0 strength.

For 18+ only. This is NOT to be used for any illegal or unethical purposes or on any real person. Don't be fucking sus.

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Tip appreciated if you enjoy the work, these take a lot of time to create! https://ko-fi.com/misticrain69

PhysLTX is a Lora that improves LTX's understanding of how objects should interact. Characters and objects show better impact, bounce and interaction physics. It reduces the weightless and floaty interactions objects and characters in LTX have with each other. If a character or object interacts with another it should noticeably be more grounded and have a sense of impact and friction. Trained on 2000 videos from the CLEVRER: CoLlision Events for Video REpresentation and Reasoning dataset

Yes this works the same for realistic and non NSFW generations as well

It responds well to normal prompts and prompts that describe impact and momentum. I use it at a strength of 1.0 but that can impact the audio quality for some reason, if you have audio quality issues lower the strength to around 0.7 or use a node to disable the audio influence from the Lora.

! If you post things in the gallery that violate the TOS I will block and report you. Don't do this shit.

For 18+ only. This is NOT to be used for any illegal or unethical purposes or on any real person or likeness. Don't be fucking sus.

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This was the first VBVR lora trained for LTX 2.3

Tip appreciated if you enjoy the work, these take a lot of time to create! https://ko-fi.com/misticrain69

V3 has been optimized for motion. Expect noticeably livelier, more dynamic movement compared to previous versions. I generated the example videos using the int8/fp8 distilled model using 8 steps in wan2gp. For on site generation the dev model has been reported to be broken, if using on site gen try the distilled one instead! I can highly recommend LTX 2.3 Sulphur 2 base if you are using comfyui and if your using wan2gp use the Sulphur 2 base rank 768 lora https://huggingface.co/SulphurAI/Sulphur-2-base/tree/main

What changed in V3: Attention-only layers. The feedforward layers have been stripped, leaving only the attention weights. It seems like the prompt following and reasoning behavior most likely live in the attention layers, while the feedforward layers were potentially interfering with natural motion, likely by over-learning features like textures and style from the training data.

Better motion, smaller file size.

A LoRA that improves prompt following, temporal consistency, and motion \"precision\" for LTX 2.3. Reduces the floaty, drifty motion that LTX tends to add to scenes. Things that should move, move with purpose. Things that shouldn't move, move less. Also works on non-NSFW, non-Furry, realistic, animated etc. It responds well to detailed prompts.

In comfyui or wan2gp lowering image strength to 0.85 can improve motion in general if you want more motion

Feedback and A-B comparisons welcome. V2 and V1 was trained on 4800 videos.

Recommended to run at strength 1.0-0.7 but experiment to find what works best for your setup. If you want stronger prompt adherence try strength 1.5-2.0. I have noticed the only side effect I have gotten from a high strength is the video looking like its 16fps. I have not seen the choppiness issues on i2v unless the lora is cranked to 1.5-2.0 so it may be a t2v thing.

Prompting tips in non-nsfw terms so its less confusing just adapt it to nsfw:

Be specific and literal. Describe what happens, in what order, step by step.

Instead of \"a ball bouncing around\" → \"A red ball moves to the right, bounces off the wall, and returns to the center\"

Instead of \"fluid pouring\" → \"Water flows from the left container through the connecting tube into the right container until both levels are equal\"

Describe the starting state, the action, and the end state

The LoRA follows prompts more literally than base LTX — precise prompts will give much better results

How was it made?

v0.1 and v0.2 were trained on 360 videos from the VBVR (Very Big Video Reasoning) dataset synthetic task videos where every motion is precise and intentional. No concept bleed, no style change, just tighter control.

Based on the paper \"A Very Big Video Reasoning Suite\" which demonstrated this approach on Wan 2.2. I noticed that lora helped prompt following and temporal consistency a ton with wan so I am training this version for LTX.

What does it actually do?

Prompt following is more faithful — the model does more of what you asked instead of improvising

Motion is more deliberate and less erratic

Reduces random drift and wobble in scenes

Temporal consistency improved — actions follow logical sequences

What it doesn't do:

Doesn't change visual style

Doesn't add or remove capabilities LTX doesn't already have

Not a motion LoRA — stacks with motion LoRA's

Training details for v0.1 and v0.2 (if you give a shit)

Rank 32

360 VBVR synthetic videos at 512x512, 81 frames <------Alot less than 1 million but still a shitload to train on this is very slow to train locally.

LR 1e-4, adamw8bit

Training details for V1

Training videos were increased to 4800

Resolution is the same but frames were increased to 121

Every other setting the same as v0.1 and v0.2

More training data from the VBVR dataset was added to v1

Below is the new dataset I trained on's data composition if your curious

Tier 1 — Physics and Motion (3,400 samples)

Core generators at 300 each: G-11 (object reappearance) has a shape move off-screen in a direction and return along the same path — teaches trajectory and object persistence. G-25 (separate object spinning) is a shape that rotates in place then translates horizontally to a target position — multi-step motion sequencing. G-33 (visual jenga) is a stack of objects that get removed one by one from top to bottom — sequential extraction with implicit physics ordering. O-29 (ballcolor) is ball tracking tasks with color — motion following plus identity preservation. O-52 (traffic light) is discrete state transitions, lights switching on/off between green and gray — teaches the model that state changes are crisp, not gradual. O-75 (communicating vessels) is fluid equalizing between connected tubes based on pressure — continuous physics simulation over time. O-87 (fluid diffusion) is ink spreading in water — another continuous physical transformation but with expansion rather than equalization.

New additions at 250 each: G-35 (hit target after bounce) is a ball with an initial direction that bounces off walls following reflection laws to hit a target — pure trajectory prediction with physics constraints. O-30 (bookshelf) is book rearrangement on shelves — the specific task VBVR highlighted where their model beat Sora 2.

Multi-step transforms at 160 each: O-7 (shape color change) is a single transformation — shape changes from one color to another. O-8 (shape rotation) is a shape rotating by a specific angle. O-13 (outline then move) is two sequential steps: change a shape's outline style, then move it to a new position. O-14 (scale then outline) is also two steps: scale a shape up or down, then change its outline. These four together teach the model that instructions are ordered and each step completes before the next begins.

Tier 2 — Spatial and Reasoning (1,420 samples)

Proven generators at 100 each: G-13 (grid number sequence) is filling in number patterns on a grid. G-17 (grid avoid red block) is pathfinding on a grid while avoiding obstacles. G-31 (directed graph navigation) is finding the shortest path through a directed graph. G-41 (grid highest cost) is evaluating spatial values on a grid to find the optimal path. O-24 (domino chain) is a sequential cascade where dominoes fall until they hit a gap — teaches causal chains and stopping conditions. O-34 (dot to dot) is connecting numbered dots in sequence — ordered drawing. O-47 (sliding puzzle) is tile rearrangement under constraints, like a 15-puzzle. O-83 (planar warp) is warping a grid to align with a target quadrilateral — geometric transformation.

New reasoning diversity at 130 each: O-1 (color mixing) is RGB additive mixing where two light sources combine and the result fills a target zone — rule-based continuous process. O-33 (counting objects) is exactly what it sounds like — count things correctly. G-3 (stable sort) is arranging objects by a rule while preserving relative order. G-37 (symmetry random) is completing a pattern by mirroring across an axis. O-21 (construction blueprint) is fitting a correct puzzle piece into a gap in a structure. G-44 (BFS) is breadth-first search traversal of a graph — systematic layer-by-layer exploration.

The overall dataset is weighted roughly 70/30 toward physical motion and transformation tasks over abstract spatial reasoning, All of these are taken from the VBVR dataset I am not the creator of the dataset. I'm pretty new to lora training so if you have tips let me know.

REMEMBER its not X, its Y.

! If you post things in the gallery that violate the TOS I will block and report you. Don't do this shit.

For 18+ only. This is NOT to be used for any illegal or unethical purposes or on any real person or likeness. Don't be fucking sus.

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New version optimized for enhancing motion

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Trained with proper I2V conditioning

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Trained on 4800 VBVR videos

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Added new epoch

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Tip appreciated if you enjoy the work, these take a lot of time to create! https://ko-fi.com/misticrain69

Updated version for LTX 2.3: Works on 2d 3d realistic, furry non furry etc. I use it at a strength of 0.7 but you might need to adjust the strength depending on your workflow and lora stack. I use with no distilled lora and I use the distilled model. I highly recommend using wan2gp instead of comfyui. I have gotten much better results with it than I have with comfy plus its not confusing like comfy.

OLD LTX 2 VERSION

Its a motion enhancement lora to improve the motion of NSFW videos. It is made for animated videos but I am sure that it will work with realistic gooner gens I have not tested it yet on that (sorry)

Trigger word is g@n but honestly it works without the trigger. The workflow is embedded in the video just drag and drop

I am using this workflow https://civitai.com/models/2329764/ltxv20-uncensored-video-generation-workflownsfw <------ This link is dead now as well. If your using comfyui download the video of the furry with white fur and drop into comfy for the workflow. If using wan2gp download the one of the blue furry and drag and drop it onto the Load Settings From Video / Image / JSON section.


and both of these NSFW loras at a 1.0 strength motion lora is also 1.0 strength BUT its more stable with the multi purpose sex lora.

https://civitai.com/models/2310920/ltx-2-i2v-nsfw-furry-multi-purpose-sex-lora

https://civitai.com/models/2334739/pov-nsfw-ltx2 <-------- This one was removed by the owner not sure why. The motion lora works better with the multi purpose NSFW lora alone anyways.

! If you post things in the gallery that violate the TOS I will block and report you. Don't do this shit.

For 18+ only. This is NOT to be used for any illegal or unethical purposes or on any real person or likeness. Don't be fucking sus.

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EXPERIMENTAL

ComfyUI workflow is in first video. For first video I used the res_3s sampler, 10eros lora https://huggingface.co/maximsobolev275/LTX-10Eros-LoRA-r768/tree/main and 22b dev model.

This is a multi step reasoning lora trained on a subset of of the VBVR-MultiStep dataset.

V0.1 is trained on a 250 video subset from the Physics portion of the dataset. This lora was trained on my LTX 2.3 reasoning merge model that I made by merging my reasoning lora into. This lora stacks well with my other reasoning lora and physics lora and you should notice that it follows prompts better and object to object interactions are better as well.

Currently training a version on 25k videos from the dataset and one on a few thousand.

I highly recommend using the Sulfur 2 Base model or its rank 768 lora as it makes NSFW generations a ton better.

Works the same on realistic and non NSFW generations

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v0.1 trained on 250 videos

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This one just makes her shake / sway her breasts from side to side. The lora is video trained only made on performers for which I blurred the face. If you get blurred face just use another seed / lower the lora strength.

For this i used the Akane Musubi fork to train with the scripts included in the training data zip.

You can increase the intensity of the motion by adding more steps. 8 is the minimum, 30 is best but obviously takes much longer.

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Please read the relevant version info on the right side.

I think some experimentation is still needed with the generation workflow especially on version 2.0

If you get good results please share your settings.

This model was trained 4000 steps with the provided musubi training files running for about 5 hours on a 5090 and consuming around 25GB vram. I used 56x145 frame clips at 24 seconds.

These I got by running a script to splice longer videos (attached to the files if you want to use it, just put it in the folder with the long form videos and run it with the path to the output dir and you get the cuts).

I've included the training files in the training data, I used this to train: https://github.com/AkaneTendo25/musubi-tuner/tree/ltx-2

(some comments have stated that branch ltx-2-dev has more bug fixes so going to try that next).

I definitely feel it's undercooked but the loss hasn't gone down too much last 1500 steps so I won't push this run any further. Specifically I think training at rank 8 seems to be a bit too little for it to learn the motion and also 1e-4 might be a bit small. Going to try with Prodigy rank 16 for the next iteration but regardless, I absolutely love the quality of the generated image as well as the sound seems to have trained remarkably well.

The workflows for both the starting image and the i2v are my own concoction and are attached to the image / video.

If you have any suggestions on the training / workflows feel free to share.

Hope I didn't miss anything.

Peace!

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Changes in training methodology compared to v1:

  • 5000 steps

  • rank 16

  • 512x768 res instead of 512x512

  • a little bit extended dataset but dont think that's very relevant

Honestly I think the lora might be actually fine, but the video gen settings might not be the best. I've noticed that disabling the 50% scale node and generating everything directly in full res definitely works a lot better at drawing the pussy correctly.

Also did a test using the phr00t finetune of ltx and that seems to work well in i2v as long as you apply a -0.2-0.4 to the distill lora (otherwise it butchers the starting image).

You can download the phr00t version here: https://huggingface.co/Phr00t/LTX2-Rapid-Merges/resolve/main/nsfw/ltx2-phr00tmerge-nsfw-v62.safetensors?download=true

All the videos are i2v and have the workflows attached to them so you can download them and see which is which.

Going to try and do a rank 64 version of it with the same settings plus some block swap to see if that helps it learn the vagina concept better.

I think some more experimentation is required in figuring out the correct gen settings so if you find some settings that give good results do share.

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! If you post things in the gallery that violate the TOS I will block and report you. Don't do this shit.

For 18+ only. This is NOT to be used for any illegal or unethical purposes or on any real person or likeness. Don't be fucking sus.

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3D bj animation i2v lora

Not versatile but should help in some cases.
Set to 0.8 for less distortion
No audio , tried to get visuals working without melting or fading.

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LTXdeepthroat — LoRA for LTX-2.3

A LoRA for generating oral/deepthroat content with LTX-2.3 video models. Test workflows in training data.

Trigger Word

LTXdeepthroat

Recommended Settings

  • LoRA strength (Stage 1) 1.0

  • LoRA strength (Stage 2) 0.85

  • Distilled LoRA (Stage 2) 0.6

Prompting Tips

This LoRA responds best to literal, descriptive prompts. Describe what you want to see as if you're directing a camera operator. Avoid poetic or abstract language.

Do: \"She slides her lips forward along the shaft toward the base\" Don't: \"A mesmerizing rhythm of passion and desire\"

Vocabulary

Use these terms for best results:

  • glans — head of the penis (avoid \"tip\")

  • shaft — the length

  • base — where the shaft meets the man's body

  • slides / glides — when the woman controls the motion

  • thrusts — when the man controls the motion

Getting Better Results

  • Describe the male body if visible.

  • Specify the camera angle — POV, profile, low angle, etc.

  • For deepthroat scenes add \"lips sealed around shaft\" to prevent unwanted tongue.

  • Describe skin — tone, undertone (warm/cool), texture. The more detail, the better the render.

Example Prompt

LTXdeepthroat, a first-person POV looking down at a woman with long blonde\nhair and fair skin. A man's bare torso is visible with natural skin texture\nand light body hair. Her lips are sealed around the shaft, sliding slowly\nforward toward the base. She pulls back, the glistening shaft reappearing\nas the glans emerges between her lips. Static camera, soft warm lighting.

Known Quirks

  • Male torso needs explicit description or it gets amorphous.

I2V system prompt i use.

You are a prompt writer for an AI video generation model. You will be given a reference image. Extract the visual details and write a generation prompt that would produce a video with a similar look and feel, but with motion added.\n\nYou are NOT captioning the image. You are writing a CINEMATIC DIRECTION that borrows the image's visual DNA — the specific colors, textures, materials, lighting mood, and character details — and adds motion to bring it to life.\n\nAlways begin with \"LTXdeepthroat,\"\n\nEXTRACT WITH SPECIFICITY — every noun needs a visual adjective:\n- NOT \"brown hair\" → \"shoulder-length chestnut hair with copper highlights, slightly messy\"\n- NOT \"fair skin\" → \"porcelain skin with a cool pink undertone, faint freckles across the bridge of her nose\"\n- NOT \"a bed\" → \"rumpled dove-gray linen sheets on a low platform bed\"\n- NOT \"soft lighting\" → \"warm amber sidelight from the left, casting a soft shadow along her jawline\"\n- NOT \"a man\" → \"a broad-shouldered man with a deep olive tan, dark stubble, and a faded tattoo visible on his forearm\"\n\nPULL THESE FROM THE IMAGE:\n- Hair: color with a modifier (ash-blonde, honey-brown, jet-black), length, texture (tousled, slicked, wavy), any accessories\n- Skin: tone + undertone + surface quality (dewy, matte, flushed, sun-kissed, glistening with sweat)\n- Eyes: color, makeup (smudged liner, clean lashes, heavy shadow)\n- Body: build described with one specific detail (collarbone visible, toned arms, soft stomach)\n- Clothing/jewelry: material + color + fit (sheer black lace, thin gold chain, oversized white t-shirt pushed up)\n- Male body: build, skin tone, body hair pattern, any tattoos or distinguishing marks, hand details (veins, rings, grip)\n- Setting: specific surfaces and materials (weathered hardwood, crumpled ivory duvet, tiled bathroom wall), not just \"bedroom\" or \"bathroom\"\n- Lighting: direction + color temperature + what it does to the skin (catches the sheen on her collarbone, pools warm orange across the sheets)\n- Camera: angle described by what it reveals (looking down past his chest at her upturned face, tight on her profile with his hand in soft focus behind)\n\nADD MOTION — choose one and make it specific:\n- \"She slides her lips forward along the shaft, her eyes closing as she takes it deeper, a strand of hair falling across her cheek\"\n- \"He grips a fistful of her hair near the crown and thrusts the shaft between her lips, her hands braced flat against his thighs\"\n- \"She pulls back slowly, a thin strand of saliva connecting her lower lip to the glistening glans, before leaning forward again\"\n\nVOCABULARY:\n- \"glans\" not \"tip,\" \"shaft\" for the length, \"base\" where it meets his body\n- \"slides/glides\" = she moves, \"thrusts\" = he moves\n- Never describe what's inside the mouth\n- Never end with mood summaries or poetry\n\nOUTPUT: Single flowing paragraph, 180-250 words. Start with \"LTXdeepthroat,\" — end with a visual detail, not a feeling.

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This is the first release. I'm releasing early to get feedback from the community.
PLEASE read the settings and check the example workflows in the training data.

A few things I know need work.

  • File size — 1GB at Rank 64 is large. Will try to reduce to Rank 32 without oversaturating the output blocks.

  • Audio — glottal 'guhk' sounds need more training data and refinement.

  • Video length — currently trained on ≤121 frames. Longer generations may degrade.

  • Side-angle anatomy — male anatomy placement and detail breaks down when positioned at the side of the frame in T2V.

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+1,24 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/0535d48a-e22a-4313-81ef-26601beae296/original=true/125492920.mp4", + "nsfwLevel": 2, + "width": 704, + "height": 1280, + "hash": "UFFYry?bm+%1~A$%NaWB*xMxTfWCOYxtr=oK", + "type": "video", + "metadata": { + "hash": "UFFYry?bm+%1~A$%NaWB*xMxTfWCOYxtr=oK", + "size": 4990303, + "audio": false, + "width": 704, + "height": 1280, + "duration": 4.833 + }, + "minor": false, + "poi": false, + "meta": null, + "availability": "Public", + "hasMeta": false, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/ltx23/lora/LTX-2.3-Phut hon dance/extra_data-vid_2806861/125492920.mp4 b/ltx23/lora/LTX-2.3-Phut hon dance/extra_data-vid_2806861/125492920.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..842657cf200bd6eb7ce8a9f3360149110bb3121c --- /dev/null +++ b/ltx23/lora/LTX-2.3-Phut hon dance/extra_data-vid_2806861/125492920.mp4 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:21c7474d224628f9f697cf67570c89046eb5032446ec26747c1223334e017a47 +size 4990303 diff --git a/ltx23/lora/LTX-2.3-Phut hon dance/extra_data-vid_2806861/model_dict-mid_2496953-vid_2806861.json b/ltx23/lora/LTX-2.3-Phut hon dance/extra_data-vid_2806861/model_dict-mid_2496953-vid_2806861.json new file mode 100644 index 0000000000000000000000000000000000000000..1d5692df273584805e85b0ae878a7760a60f18ef --- /dev/null +++ b/ltx23/lora/LTX-2.3-Phut hon dance/extra_data-vid_2806861/model_dict-mid_2496953-vid_2806861.json @@ -0,0 +1,168 @@ +{ + "id": 2496953, + "name": "LTX-2.3-Phut hon dance", + "description": "

Please try different Lora Strength.
If used for i2v, please set the image strength to 1.

If the music is monotonous, please reduce the Lora audio strength.
Prompt format：
phut hon dance, [角色描述] raise both hands behind head, swinging hips,[光线描述],[背景描述],[镜头描述].

or

Raise hands behind head and swing hips in a regular and large motion.


Prompt example：
phut hon dance, 1girl, cosplay, vibrant blue hair, long hair, red horns, black headpiece, hands behind head, interlocking fingers behind head, elbows pointed outwards, swinging hips, rhythmic hip swaying, exaggerated hip movement, arms raised, dark red and white bodysuit, gold bell on neck, detached sleeves, white gloves, blue and white coattails, gold patterns, bare shoulders, looking at camera, full body shot, front view, standing, indoors, traditional japanese shoji screens background, shoji, grid pattern, wooden frames, purple backlight, shoji backlight, wooden floor, warm wooden floor, studio lighting, continuous loopable motion.

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"stats": { + "downloadCount": 1163, + "thumbsUpCount": 94, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2692646, + "sizeKB": 835910.75, + "name": "LTX-2.3-Phut hon.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-03-27T02:05:53.250Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "BF535A83", + "AutoV2": "7E54B2403A", + "SHA256": "7E54B2403AE0DE190CCAEE705EF11CB3402043EE7AD59092F61DFF3B570D1EEC", + "CRC32": "49F6C3B6", + "BLAKE3": "30F7DB6D1F4F91C5786629F92B3B93CE648D7C47B7706A865801363C70657A02", + "AutoV3": "83ACA5F5810A" + }, + "downloadUrl": "https://civitai.com/api/download/models/2806861", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f4a597a4-5bef-46c1-977e-e1c56ac5c61d/original=true/125492918.mp4", + "nsfwLevel": 4, + "width": 704, + "height": 1280, + "hash": "U5CFh$0K9gw]toxZ~Coa53x]EIkX0JxtEJNK", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/510048ee-1fca-4cbf-90b1-842076d60a19/original=true/125492916.mp4", + "nsfwLevel": 2, + "width": 704, + "height": 1280, + "hash": "UJG[KC^+^*s:~WR*RjjZM{NGt7t7IUs:xuWX", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": false, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/59e36832-fe43-4d55-8f82-5f5a9228ced4/original=true/125518406.mp4", + "nsfwLevel": 4, + "width": 1088, + "height": 1920, + "hash": "UHFP7~D%t-kD?ua}V@V@~qofRks:.9f6kCoz", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": 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"minor": false, + "poi": false, + "hasMeta": false, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2806861" + } + ] +} \ No newline at end of file diff --git a/ltx23/lora/LTX-2.3_-_Titty_Drop.safetensors b/ltx23/lora/LTX-2.3_-_Titty_Drop.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..385c0c4f110254e6f563637e58d2c59ef06013af --- /dev/null +++ b/ltx23/lora/LTX-2.3_-_Titty_Drop.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f7875eda6259831bba79bfe5de8b54b70de1da7758bfcd340c13a5301c755610 +size 616948952 diff --git a/ltx23/lora/LTX23 Feets (and shoeplay)/LTXV23_dip'n'feets_V1_e40000-mid_2588526-vid_2907874.csv b/ltx23/lora/LTX23 Feets (and shoeplay)/LTXV23_dip'n'feets_V1_e40000-mid_2588526-vid_2907874.csv new file mode 100644 index 0000000000000000000000000000000000000000..a894213b4472bf72ef2e90a73c71710e5baa0724 --- /dev/null +++ b/ltx23/lora/LTX23 Feets (and shoeplay)/LTXV23_dip'n'feets_V1_e40000-mid_2588526-vid_2907874.csv @@ -0,0 +1,7 @@ +hash_name, hash_id +AutoV1, 7A4A6549 +AutoV2, C15FBE813D +SHA256, C15FBE813D04AFBBD0FC5B007C1B27297F75FFF9535CC6855154B23C9FE2A90E +CRC32, 31B09652 +BLAKE3, 4F82DF870D8CEB26F18FCE7D33159B07E74EED00AD00AB4B874135735994EC94 +AutoV3, DD63DCE5B3E4 \ No newline at end of file diff --git a/ltx23/lora/LTX23 Feets (and shoeplay)/LTXV23_dip'n'feets_V1_e40000-mid_2588526-vid_2907874.safetensors b/ltx23/lora/LTX23 Feets (and shoeplay)/LTXV23_dip'n'feets_V1_e40000-mid_2588526-vid_2907874.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..5192c738776c31c5bb3f2cbe51609623bcae0fbb --- /dev/null +++ b/ltx23/lora/LTX23 Feets (and shoeplay)/LTXV23_dip'n'feets_V1_e40000-mid_2588526-vid_2907874.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c15fbe813d04afbbd0fc5b007c1b27297f75fff9535cc6855154b23c9fe2a90e +size 201431592 diff --git a/ltx23/lora/LTX23 Feets (and shoeplay)/extra_data-vid_2907874/129176739.json b/ltx23/lora/LTX23 Feets (and shoeplay)/extra_data-vid_2907874/129176739.json new file mode 100644 index 0000000000000000000000000000000000000000..16686c945aa436fed7525bc24c9eda8a24213360 --- /dev/null +++ b/ltx23/lora/LTX23 Feets (and shoeplay)/extra_data-vid_2907874/129176739.json @@ -0,0 +1,26 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/e7db2da0-f436-4717-ab4e-740994de9f24/original=true/129176739.mp4", + "nsfwLevel": 2, + "width": 960, + "height": 1472, + "hash": "U36khrHq00%%lBMcoyyED$Mcx^%i.AVrM_T0", + "type": "video", + "metadata": { + "hash": "U36khrHq00%%lBMcoyyED$Mcx^%i.AVrM_T0", + "size": 2764686, + "audio": false, + "width": 960, + "height": 1472, + "duration": 10.042 + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "a video depicting a princess with a bad attitude.\n\nltxdip. the woman's feet are the focus of the image and fill the majority of the frame with an extreme foreshortening effect. the woman is gently scrunching and flexing her toes, offering a peek at her natural toenails as her toes flex toward the camera. \n\nshe angrily speaks with a refined british accent, \"How dare a mere commoner gawk at me, a princess! This is the only view you'll ever have, plebian! now kiss my feet!\"\n\nshe giggles.\n" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/ltx23/lora/LTX23 Feets (and shoeplay)/extra_data-vid_2907874/129176739.mp4 b/ltx23/lora/LTX23 Feets (and shoeplay)/extra_data-vid_2907874/129176739.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..5786e13b2dcfb546886f873a447a1596ecb2d3bb --- /dev/null +++ b/ltx23/lora/LTX23 Feets (and shoeplay)/extra_data-vid_2907874/129176739.mp4 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d616495f20dca1976d11fcde1bd4085dd0570bf8ad88baddbb262c0b0a9ab54f +size 2764686 diff --git a/ltx23/lora/LTX23 Feets (and shoeplay)/extra_data-vid_2907874/129176759.json b/ltx23/lora/LTX23 Feets (and shoeplay)/extra_data-vid_2907874/129176759.json new file mode 100644 index 0000000000000000000000000000000000000000..6f0a67414f7962dc2ed75c3db718a28968eff4c1 --- /dev/null +++ b/ltx23/lora/LTX23 Feets (and shoeplay)/extra_data-vid_2907874/129176759.json @@ -0,0 +1,26 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/0573c26e-16f7-441a-b105-6bd7af5992ad/original=true/129176759.mp4", + "nsfwLevel": 2, + "width": 1408, + "height": 1024, + "hash": "UPC?v3_3%#W.?w%NxvocSjM|a$WBM{M{RkRj", + "type": "video", + "metadata": { + "hash": "UPC?v3_3%#W.?w%NxvocSjM|a$WBM{M{RkRj", + "size": 1567102, + "audio": false, + "width": 1408, + "height": 1024, + "duration": 10.042 + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "A video depicting a gorgeous chinese woman sitting on the balcony of her high rise apartment overlooking a dense urban cityscape. it is morning, with dim dawn light and dense fog. \n\nthe woman is wearing a short robe. she sits on the floor of her balcony with her knees to her chest. she holds a coffee mug close to her face with both hands. she is staring out at the cityscape through the glass wall of her balcony with a dazed, barely-awake expression. she is slowly sipping from her coffee mug. faint sounds of early morning city traffic can be heard in the background.\n\nbeside the woman sits her phone on the balcony floor.\n\nthe camera angle is low, as if the camera is sitting on the floor at her feet. her feet are the focus of the image. her feet are resting flat on the concrete floor. she has natural unpainted toenails.\n\nltxdip. the woman's feet are the focus of the image and fill the majority of the frame with a foreshortening effect. the woman is gently scrunching and flexing her toes. \n\nthe phone screen light sup with a notification. the woman slowly looks down at her phone, as her body twists to look down at the phone, her toes lift off the ground and spread. \n" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/ltx23/lora/LTX23 Feets (and shoeplay)/extra_data-vid_2907874/129176759.mp4 b/ltx23/lora/LTX23 Feets (and shoeplay)/extra_data-vid_2907874/129176759.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..e244ecc0d85004c40703040a1216c8fcf46bc2be --- /dev/null +++ b/ltx23/lora/LTX23 Feets (and shoeplay)/extra_data-vid_2907874/129176759.mp4 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bf064e284a7724cbfceacfa60c47e2a7d32b562b3c4341e7011725ac45cc9e80 +size 1567102 diff --git a/ltx23/lora/LTX23 Feets (and shoeplay)/extra_data-vid_2907874/129176763.json b/ltx23/lora/LTX23 Feets (and shoeplay)/extra_data-vid_2907874/129176763.json new file mode 100644 index 0000000000000000000000000000000000000000..d0a42b0dce70f754f6bac1c4e6d350c3f72a091f --- /dev/null +++ b/ltx23/lora/LTX23 Feets (and shoeplay)/extra_data-vid_2907874/129176763.json @@ -0,0 +1,26 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/41b406d3-4e94-469e-9964-583c3c9e7675/original=true/129176763.mp4", + "nsfwLevel": 2, + "width": 1088, + "height": 1344, + "hash": "U9Fg],0McFs9}?9ut7RkV@NHrqS2v}I;V@of", + "type": "video", + "metadata": { + "hash": "U9Fg],0McFs9}?9ut7RkV@NHrqS2v}I;V@of", + "size": 4415829, + "audio": false, + "width": 1088, + "height": 1344, + "duration": 10.042 + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "a 2d, cartoon style video depicting a close-up of a woman's feet. the woman is wearing very tall wedge platform flip flops. \n\nltxdip. She slides her foot out of the shoe and slides it back in again, over and over. The movement is subtle and deliberate, with the heel lifting first, the toes flexing slightly, and the sandal shifting as her foot settles back into place.\n" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/ltx23/lora/LTX23 Feets (and shoeplay)/extra_data-vid_2907874/129176763.mp4 b/ltx23/lora/LTX23 Feets (and shoeplay)/extra_data-vid_2907874/129176763.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..0c0b95faaab4c2a2cf47d5c01c6907b08dd94dd7 --- /dev/null +++ b/ltx23/lora/LTX23 Feets (and shoeplay)/extra_data-vid_2907874/129176763.mp4 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fe4e9de0d29b34e6867f5ff34c4ec2990513ea912324f22b7696354836e516aa +size 4415829 diff --git a/ltx23/lora/LTX23 Feets (and shoeplay)/extra_data-vid_2907874/model_dict-mid_2588526-vid_2907874.json b/ltx23/lora/LTX23 Feets (and shoeplay)/extra_data-vid_2907874/model_dict-mid_2588526-vid_2907874.json new file mode 100644 index 0000000000000000000000000000000000000000..225d86ec9ce4a38bff7617cd0c8d7053dc650e58 --- /dev/null +++ b/ltx23/lora/LTX23 Feets (and shoeplay)/extra_data-vid_2907874/model_dict-mid_2588526-vid_2907874.json @@ -0,0 +1,311 @@ +{ + "id": 2588526, + "name": "LTX23 Feets (and shoeplay)", + "description": "

More LTX foot experiments.

Trained to improve dorsum (top of feet), soles, toe movements, as well as foot/shoe interaction.

It works alright, but don't expect miracles

LTX is just bad at feet, and LoRA can only improve so much when priors are this bad...

Common problems are extra toes and missing toes.

Movement and transitions from dorsum to sole views can get wonky.

Weight 1.0 seems fine, but I've used it as low as 0.3 depending on context and other loras.

I also usually use this with the ltx reasoning lora.

All previews were generated with the official LTX 2-stage Distilled workflow (dev model + distilled lora at 0.5).

T2V previews are mostly marked as such but should be easy to identify.

technobullshit:

I originally only trained for dipping/shoeplay using the same dataset I used for my Wan Dipping lora, except the captions were dramatically expanded using Qwen3VL video captioning.

That turned out pretty well, and also improved general foot knowledge, but it still had zero knowledge of soles, so I added a lot of sole-focused clips and re-trained.

Training data was 102 dipping/shoeplay clips, plus 52 soles/toe-wiggles clips.

Trained at 0.25MP / nominal 512x512 res, rank 32 to 40,000 steps using official LTX trainer on 5090.

The \"dipping only\" version seems to work better if you really only want dipping, but I'm not publishing it right now because I'm lazy. Leave a comment if anyone is interested and I'll publish it.

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A13C8676 +AutoV2, 9CA4076BFF +SHA256, 9CA4076BFFE63AA293F349C28C4D767709E1D004A0D7A046B131DD1D5FEF3349 +CRC32, 72EFEB51 +BLAKE3, CB2BD476D50E2186A7C5742796CDBC98C8346FCFE6AE4CDB97592C34404D4F5B +AutoV3, B09E26B98553 \ No newline at end of file diff --git a/ltx23/lora/LTXV-2.3 - Audio only - Clapping Cheeks/clapping-cheeks-audio-v001-alpha-mid_2514206-vid_2825999.safetensors b/ltx23/lora/LTXV-2.3 - Audio only - Clapping Cheeks/clapping-cheeks-audio-v001-alpha-mid_2514206-vid_2825999.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..907461f01edda04b9f127279a58a534b1db6a326 --- /dev/null +++ b/ltx23/lora/LTXV-2.3 - Audio only - Clapping Cheeks/clapping-cheeks-audio-v001-alpha-mid_2514206-vid_2825999.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9ca4076bffe63aa293f349c28c4d767709e1d004a0d7a046b131dd1d5fef3349 +size 337363592 diff --git a/ltx23/lora/LTXV-2.3 - Audio only - Clapping Cheeks/extra_data-vid_2825999/model_dict-mid_2514206-vid_2825999.json b/ltx23/lora/LTXV-2.3 - Audio only - Clapping Cheeks/extra_data-vid_2825999/model_dict-mid_2514206-vid_2825999.json new file mode 100644 index 0000000000000000000000000000000000000000..89574a6906ff54bdd3126d45c0e943672a537c0d --- /dev/null +++ b/ltx23/lora/LTXV-2.3 - Audio only - Clapping Cheeks/extra_data-vid_2825999/model_dict-mid_2514206-vid_2825999.json @@ -0,0 +1,128 @@ +{ + "id": 2514206, + "name": "LTXV-2.3 - Audio only - Clapping Cheeks", + "description": "

🛑Work in progress🛑

(Alpha release) I'm not sure this will be interesting to anyone.

  • WORKFLOW: https://civitai.com/models/2516563/wan-with-ltxv-23-audio

  • Not designed for oral sex

    • I tried nothing more confusing or disturbing than hearing \"gawk gawk\" or gagging in an anal video.

    • Check out my deepthroat lora it may work for adding audio, confirmed to work.

    • If a 1GB lora is to much I may spend sometime to create a lightweight BJ audio lora.

Create sex audio for previously created videos or in addition to LoRAs that lack audio. Three main additions to the base model: clapping cheeks, improved moaning/heavy breathing, and wetness sounds.

This is a purely experimental LoRa addressing a common gap in many videos. It uses video-to-audio cross-attention to generate audio, meaning text prompts aren't critical but can still provide influence.

Tags used

- skin slapping against skin \n- clapping cheeks\n- wet vagina\n- The woman moans\n- The woman is breathing heavy

Extra Information

I've tested with dev and distill the best results are from Dev.

  • Best Samplers I've found - res_2s, er_sde

  • Audio will sync to visual movement naturally

LoRa Creator info

Stand out info

  • Rank 16 (might be a little to small)

  • --lora_target_preset full for cross-attention

  • -ltx2_mode av

  • Separate audio learn rate

accelerate launch --num_cpu_threads_per_process 8 --mixed_precision bf16 \\\n  ltx2_train_network.py --sdpa \\\n  --ltx2_checkpoint /ai/comfyui/models/checkpoints/ltx-2.3-22b-dev.safetensors \\\n  --dataset_config ~/datasets/sex-audio/ltx_dataset_config.toml \\\n  --mixed_precision bf16 \\\n  --optimizer_type adamw8bit \\\n  --learning_rate 5e-5 \\\n  --gradient_checkpointing \\\n  --max_data_loader_n_workers 8 \\\n  --persistent_data_loader_workers \\\n  --network_module networks.lora_ltx2 \\\n  --network_dim 16 --network_alpha 16 \\\n  --timestep_sampling shifted_logit_normal \\\n  --discrete_flow_shift 1.0 \\\n  --max_train_steps 5000 --lr_scheduler constant --audio_lr 2.5e-5 \\\n  --max_grad_norm 1.0 \\\n  --save_every_n_steps 250 \\\n  --seed 42 \\\n  --logging_dir /ai/datasets/sex-audio/logs \\\n  --output_dir /ai/comfyui/models/loras/LTX2.3/sex-audio \\\n  --output_name sex-audio \\\n  --ltx2_first_frame_conditioning_p 1.0 \\\n  --caption_dropout_rate 0.1 --lora_target_preset full --ltx2_mode av\n

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 8844536, + "cosmetic": null, + "supportsGeneration": false, + "stats": { + "downloadCount": 1346, + "thumbsUpCount": 130, + "thumbsDownCount": 0, + "commentCount": 8, + "tippedAmountCount": 30 + }, + "creator": { + "username": "daring_l", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/d875dda9-59d4-43a4-8053-972dcbdbf15d/width=96/daring_l.jpeg" + }, + "tags": [ + "style" + ], + "modelVersions": [ + { + "id": 2825999, + "index": 0, + "name": "v0.0.1-alpha", + "baseModel": "LTXV 2.3", + "baseModelType": "Standard", + "createdAt": "2026-04-03T02:19:58.031Z", + "publishedAt": "2026-04-03T02:30:19.919Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "description": "

Super early concept

", + "trainedWords": [ + "skin slapping against skin" + ], + "covered": false, + "stats": { + "downloadCount": 1346, + "thumbsUpCount": 130, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2711885, + "sizeKB": 329456.6328125, + "name": "clapping-cheeks-audio-v001-alpha.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-04-03T02:32:55.727Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "A13C8676", + "AutoV2": "9CA4076BFF", + "SHA256": "9CA4076BFFE63AA293F349C28C4D767709E1D004A0D7A046B131DD1D5FEF3349", + "CRC32": "72EFEB51", + "BLAKE3": "CB2BD476D50E2186A7C5742796CDBC98C8346FCFE6AE4CDB97592C34404D4F5B", + "AutoV3": "B09E26B98553" + }, + "downloadUrl": "https://civitai.com/api/download/models/2825999", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/80994d6d-5386-4d25-897f-3ef9b5b669e0/original=true/126238397.mp4", + "nsfwLevel": 16, + "width": 576, + "height": 1024, + "hash": "U7KT_T4:00^j00-P9sZ~004.?DicGd0K#6tm", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/0db9b2ac-f40e-4c06-b966-c9ebcf747158/original=true/126238400.mp4", + "nsfwLevel": 16, + "width": 576, + "height": 1024, + "hash": "UMKAWt4oysxu*0D%yDkC9GR*V?NGIT-pnjjY", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6e42db28-0ce3-429b-b43c-50a7ecde7ae1/original=true/126238261.mp4", + "nsfwLevel": 16, + "width": 576, + "height": 1024, + "hash": "U9FEG*~BOroz0L,DM{Io0e=|-pOrWY0fI:Io", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2825999" + } + ] +} \ No newline at end of file diff --git a/ltx23/lora/LTXV23 Footjob/LTXV23_FOOTJOB_V1-mid_2496131-vid_2805978.csv b/ltx23/lora/LTXV23 Footjob/LTXV23_FOOTJOB_V1-mid_2496131-vid_2805978.csv new file mode 100644 index 0000000000000000000000000000000000000000..6ba971b636f6fed0bf54deee84523e3232fbbcf4 --- /dev/null +++ b/ltx23/lora/LTXV23 Footjob/LTXV23_FOOTJOB_V1-mid_2496131-vid_2805978.csv @@ -0,0 +1,7 @@ +hash_name, hash_id +AutoV1, CD1EBE69 +AutoV2, A804F7F3D3 +SHA256, A804F7F3D3FBAA27BF812CC8F6E88DCD35263F63BD82D5C75D4AB41236682539 +CRC32, D5B61F56 +BLAKE3, 5AC4826C9C0BD49129482ADFEECD72B07CF28DFE05FA322C1B113FF42849534A +AutoV3, 6F257D239FD4 \ No newline at end of file diff --git a/ltx23/lora/LTXV23 Footjob/LTXV23_FOOTJOB_V1-mid_2496131-vid_2805978.safetensors b/ltx23/lora/LTXV23 Footjob/LTXV23_FOOTJOB_V1-mid_2496131-vid_2805978.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..283a3fc24e39d80d131699ad537b3166794334dd --- /dev/null +++ b/ltx23/lora/LTXV23 Footjob/LTXV23_FOOTJOB_V1-mid_2496131-vid_2805978.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a804f7f3d3fbaa27bf812cc8f6e88dcd35263f63bd82d5c75d4ab41236682539 +size 100767456 diff --git a/ltx23/lora/LTXV23 Footjob/extra_data-vid_2805978/model_dict-mid_2496131-vid_2805978.json b/ltx23/lora/LTXV23 Footjob/extra_data-vid_2805978/model_dict-mid_2496131-vid_2805978.json new file mode 100644 index 0000000000000000000000000000000000000000..84f05bbea9fb67bb03eb36932c894c8d78a993d6 --- /dev/null +++ b/ltx23/lora/LTXV23 Footjob/extra_data-vid_2805978/model_dict-mid_2496131-vid_2805978.json @@ -0,0 +1,156 @@ +{ + "id": 2496131, + "name": "LTXV23 Footjob", + "description": "

First test with LTXV23.

Trying to see how LTXV23 handles feet... Not too well as it turns out 😆

The lora does work okay, and definitely improves feets knowledge.

Weight ~1.4

This high strength seems weird to me but per LTX own docs, apparently this is typical

Trigger is \"footjob.\"

See preview videos for other helpful phrases.

Focused on I2V. Cock knowledge is very limited.

Works okay when feet are already in position, but otherwise... good luck.

Please don't ask for tech support. I have no idea what I'm even doing. I'm using the 2-stage distilled workflow from LTX, that's all I know.

Do feel free to leave comments about how shitty this is so I can try to target improvements.

technobullshit:

Trained to 1000 steps. Beyond that things got weird fast, with hands turning into feet and all kind of horror shit.

The training clips were:

five close-ups (just feet and cock) 512x512, 24fps, 65 frames.

four full-body 448x576, 24fps, 89 frames.

I found that 'context' training data (the full-body clips) were extremely important. This is different than I'm used to with Wan which seems to tolerate less context.

I plan to continue working on this, but this seems workable enough for a first version.

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This LoRA can only do I2V of Frieren.

Jk.

Multi-concept experimental LoRA. Work in progress. Or not?. Don't expect it to become better because I'm already hitting diminishing returns.

(previews are not cherry picked and use super basic captions because part of the experiment is to see how well LTX-2 adapts to short captions - so yeah don't complain unless you can do better EDIT: kinda forgot to mention cause its extremely obvious but all previews were done in I2V mode - as recommended for this LoRA. Also it can do more than just hentai ofc)

Trained without audio but had audio weights (from other loras) injected at low, balanced ratios - post training. Mostly for automated female moans though that pretty much doubled the size of the file. Whatever.

Separate T2V datasets (with WAN-like captions) and I2V datasets (with very short, movement-focused captions) were used with modified training code to ensure I2V mode exclusive and 100% for I2V datasets.


Meant for 2/3-stage I2V workflows. Body horror with T2V - most of the time. Input should be proportionally resized with width = 512 for 3-stage workflows and 1024 for 2-stage workflows.

Terminology: penis/pussy/fellatio/insert instead of dick/vagina/blowjob/penetrate

Main triggers:

- having sex in the missionary/cowgirl/reverse cowgirl/doggystyle position

- penis thrusting in and out (forgot to include this in the previews lol)

Many concepts haven't been captured yet - you can see in the previews that masturbation and handjobs are not working at all depending on the scene and sometimes it works even without prompting for it. Also it sucks at fellatio.

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Initial release

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(ALL previews are I2V. V2 previews made from lazy Chroma outputs and some others I quickly found on CivitAI and Booru images. Most previews are single-shot gens but some were selected as the best of 2~3 generated samples)

This LoRA is mostly meant to animate good sexual input images (I2V) with basic sex animations using very simple and short prompts and/or to assist other motion-specific loras.

This LoRA wants sex. It wants it so much that sometimes it gives you 'ok' animations even without a prompt. Its extremely biased in that regard so its really not good for advanced use cases such as changing characters positions or scenes.

If you give it a sexual scene input image that you can tell with just a glance 'what kind of movement the characters should be doing' - than this LoRA should be able to figure that movement on its own with just the correct trigger words.

Audio: not trained at all. It contains audio layers from other loras merged together then injected into this one.

V1: may be better at anime

V2: better at realism, less over-fitting overall and broader knowledge

Terminology: penis/pussy/fellatio/insert instead of dick/cock/vagina/blowjob/penetrate

Trigger words with notes (colored by how good the model is at it in a I2V context):

  • having sex (this one is powerful due to its versatility)

  • having sex in the cowgirl/reverse cowgirl/congress/reverse congress/mating press/missionary/doggystyle position (if only 1 of these scenes exists in the input image than you should use this instead of just 'having sex')

  • having sex while lifted in the air (for scenes where the female's legs are in the air and should dangle around during sex)

  • performing fellatio (not very good. you should probably pair it with a fellatio-exclusive lora)

  • performing a handjob with her right/left hand

  • performing a handjob with his right/left hand on his own penis (male masturbation. V2 exclusive)

  • masturbating with a dildo

  • masturbating with the fingers of her right/left hand

  • thrusting in and out of her pussy (helpful to complement sex and masturbation scenes)

  • causing a stomach bulge with each thrust (only knows a little bit of this so if you want this concept you should pair it with an actual stomach bulge lora)

  • spreading her pussy with both hands // the fingers of her right/left hand (not good at this either but it does have some knowledge)

  • pubic hair // shaved pubic hair (this is useful if you pair it in T2V mode with other loras. you can add it to the negative prompt on workflows with CFG higher than 1 to significantly reduce the chance of it appearing)

  • horsedong (not much but some e621 data is in my datasets and I used this word instead of 'penis' in cases where it made sense. it can help in furry animations that contain this kind of genital)

  • inserts into her pussy (this was used for penis, fingers, dildos and other objects)

  • comes out of her pussy (did not use this for penis removal but it may help with that. it was mostly for fully/half inserted big objects coming out from a pussy - to teach the model pussy physics of such animations)

Extra trigger words (mostly for negative prompts in CFG>1 workflows):

  • static image, no movement. (used on images during training)

  • the camera is slowly panning left and right // up and down // in circular motions

Downsides/Weaknesses:

  • Too much data to fit in a rank 128 LoRA, causing over-fitting. I believe what I tried to accomplish may be possible at rank 256 with batch_size = 16 training but that's something I can't do.

  • In I2V mode this lora will ignore most of your prompt if its not something in the available trigger words. It highly depends on the input image and prompt but this can be heavily mitigated by not using distillation or reducing it and using CFG>1.

  • Camera panning bias. It likes to move the camera around a little even when not prompted for it. Can be mitigated with negative prompting - see 'Extra trigger words' section.

  • Breast movement bias so strong it may cause flat chests to move when they should not to the point it may even affect males depending on the input image and your prompt. May be solvable with negative prompting + CFG>1.

  • Cowgirl sex scenes with only the woman moving are very difficult to generate due to the lora's 'having sex' bias which in turn means 'man thrusting a penis inside a pussy' - as far as the lora understands it. This happens even without mentioning 'having sex' in the prompt.

  • Trained on very, very little anal sex data so it may hurt anal animations a bit. V1 probably does this more than V2.

  • Cant draw good genitals from scratch (T2V).

Recommended workflow info:

  • Option A (RECOMMENDED): 3-stage workflow with input image proportionally resized to a max dimension of 512.

  • Option B: 2-stage workflow with input image proportionally resized to a max dimension of 1024.

  • For input images with very complex backgrounds: use Option B, otherwise stick to Option A. Doing Option B helps avoiding unwanted motion of background objects and stuff because LTX sometimes does that if it does not fully understand the input. But this lora performs the best motion in 512px buckets so avoid Option B.

  • For better I2V results avoid distillation or set it to just 25% + CFG=1.5 + 12~16 1st stage steps (2nd stage steps should be 75% of stage1 and 3rd stage should be 50%)

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  • re-trained from scratch with more data for longer and with lower Learning Rate plus higher gradient accumulation steps.

  • an overall improvement of V1 with very similar capabilities but less over-fitting and biases.

  • trained on more realistic data so this version may have more chaotic / less 'live2d-like' animations than V1 but should perform better at realism.

  • the 'having sex' trigger words should be more powerful as it was trained on a wider range of positions than V1.

  • slightly better at handjob, fellatio and masturbating with dildo/fingers of her hand.

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Initial release

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Penial Praxis v4.0

Trained on both Text to Video (T2V) and Image to Video (I2V) for LTX2.3

All showcase videos were generated with Wan2GP

(If your having issues using this or any LoRA with your current workflow I'd recommend trying Wan2GP ).

New Features include:

New Art Styles

🤠Cartoon

Flat or somewhat flat anime-influenced western art.

ex: This video is in a cartoon style.

🍥Anime

Anime style with more depth than cartoon.

ex: This video is in an anime style.

🫧Realistic Anime

Closer to 3d animation with some anime influence.

ex: This video is in a realistic anime style.

Penial Praxis v3.1

Same model as version 3 just trained to 200 epochs.

I noticed better genital details, especially on the vulva.

Penial Praxis v3.0

Trained on both Text to Video and Image to Video

It more of a general NSFW Lora now.

New Features include:

Sex/Missionary

ex: a missionary sex scene between a man and a woman on a white couch. The man's penis is penetrating her vulva

Cowgirl

ex: a close-up of cowgirl sex between a woman and a man from the man's POV.

Reverse Cowgirl

ex: reverse cowgirl sex scene between a man and a woman

Doggystyle

ex: doggystyle sex scene between a man and a woman

Handjobs

ex: a nude woman kneeling in front of a man giving him a handjob.

Autofellatio/Selfsuck

ex: a nude man performing autofellatio on himself. He is performing selfsuck oral sex on a his own penis.

Boobjobs

ex: A woman is giving a man a boobjob from the man's POV. The man's penis is between her breast.

... Also vaginas (shape still isn't perfect)

This version is at roughly 132 epochs. I will upload a 200 epoch version later if the results are good.

Penial Praxis v2.0

Trained on both Text to Video and Image to Video

Penis shape still isn't perfect

New Features include:

💋Blowjobs Both Regular and from POV

💦Masturbation and Cumshots

🍆Bulge in Tight Undergarments

🔊Sex Audio

... Also it work on men ♂️

LTX-2 v1.0

The LoRA generates both circumcised and uncircumcised penises to mixed results.

It works on men.

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"downloadUrl": "https://civitai.com/api/download/models/2623745" + } + ] +} \ No newline at end of file diff --git a/ltx23/lora/Penis Lora - LTX 2.3 SULPHUR LORA/extra_data-vid_2930335/model_dict-mid_2598050-vid_2930335.json b/ltx23/lora/Penis Lora - LTX 2.3 SULPHUR LORA/extra_data-vid_2930335/model_dict-mid_2598050-vid_2930335.json new file mode 100644 index 0000000000000000000000000000000000000000..0b7d1848856a15b0d3e228ee39f9a9512b1129bc --- /dev/null +++ b/ltx23/lora/Penis Lora - LTX 2.3 SULPHUR LORA/extra_data-vid_2930335/model_dict-mid_2598050-vid_2930335.json @@ -0,0 +1,429 @@ +{ + "id": 2598050, + "name": "Penis Lora - LTX 2.3 SULPHUR LORA", + "description": "

WARNING: Only works with the Sulphur LTX 2.3 model

  • Trigger word: PENISLORA (put it at the front of the prompt)

  • Stroking: \"The man is stroking his erect penis. The penis is visible from the side\"

  • Blowjob: \"The woman is giving a deepthroat blow job to the man's erect penis. The penis is visible from the front\"

Trained on 215 clips of penises from the front view and the side. With no audio.

Prompt \"The penis is visible from the side\" for side view of penis head.

Prompt \"The penis is visible from the front\" for the front view of the penis head.

It is not trained on POV view of the penis at all. It has no training data on penetration or cumming.It has blow job and deepthroat in the training data as well. But its mainly for giving details to the penis and stroking. It also can be prompted without stroking.

This is trained on the NSFW LTX dev merge of LTX 2.3. It will not work on the regular model. I have only tested it with the full dev model not the lora version. Strength 1 works great, us the example workflows provided by a kind gentleman. Swap out the LTX base model for the sulpher dev model and put the lora on both passes.

I trained it up to 20k steps, but it had an amazing result at 4.5k steps. Previous attempts on the BASE model of LTX took 20-30k steps for a worse result. Please train NSFW on this model from now on. I trained it on rank 48, and for some reason it trained very fast. 1.3 s/it. This lora was basically done in an hour or so. I may test other checkpoints later, but 4.5k steps seems good enough for now. It's trained on the default layers for t2v, not tested in i2v. I could do a i2v version maybe if there is enough interest.

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit,Rent,Sell}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 12087924, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 2229, + "thumbsUpCount": 81, + "thumbsDownCount": 0, + "commentCount": 9, + "tippedAmountCount": 200 + }, + "creator": { + "username": "misterxrex", + "image": null + }, + "tags": [ + "style" + ], + "modelVersions": [ + { + "id": 2930335, + "index": 0, + "name": "v1.2", + "baseModel": "LTXV 2.3", + "baseModelType": "Standard", + "createdAt": "2026-05-09T05:05:20.569Z", + "publishedAt": "2026-05-09T05:12:11.921Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "description": "

Redid the training of v1.1 with videos and images together for an extra 4K steps to 8.5k steps. Less occurrence of the breasts coming out over clothing.

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I trained on top of the 4.5k checkpoint with 80 additional images. These images should act like a detailer to less plastic-like skin on the penis, and give better shape on the head. I've had better looking results on the front view.

I think 8k has better penis shape, but breasts come out and are more stiff. I think 6k is a little undercooked, 7k steps version may be best. I put all three out here.

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Another petite LoRA focused on selfies.

Recommended to use with Synth Pussy LoRA

Strength: 0.8 - 1.0

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a/ltx23/lora/Petite Selfie LTX-2.3/petite_selfie_ltx23_v1-mid_2577932-vid_2896186.csv b/ltx23/lora/Petite Selfie LTX-2.3/petite_selfie_ltx23_v1-mid_2577932-vid_2896186.csv new file mode 100644 index 0000000000000000000000000000000000000000..46396f34d47f84afe6bdc244c744d328c4a41b0b --- /dev/null +++ b/ltx23/lora/Petite Selfie LTX-2.3/petite_selfie_ltx23_v1-mid_2577932-vid_2896186.csv @@ -0,0 +1,7 @@ +hash_name, hash_id +AutoV1, EDA3AD6C +AutoV2, 2F60BF8B1A +SHA256, 2F60BF8B1A424CDCFE1D417E34D4C99C85EFBFE46F747BF9D2DE056ABD201F6F +CRC32, 7597B6B3 +BLAKE3, 1E7C5FD305F8ED24A34202ABDB849F00A94F8C9E74EE54F538DE1689F342AB9C +AutoV3, D7BE2E813CC7 \ No newline at end of file diff --git a/ltx23/lora/Petite Selfie LTX-2.3/petite_selfie_ltx23_v1-mid_2577932-vid_2896186.safetensors b/ltx23/lora/Petite Selfie LTX-2.3/petite_selfie_ltx23_v1-mid_2577932-vid_2896186.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..66f19c6867e2f1a3731db39b3cc6be6be12376e5 --- /dev/null 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Pussyjob a.k.a. grinding. This LoRA is trained for LTX-2.3

v1.1 tips

  • I2V

    • Weight: 0.4 - 0.8 (reduce if the reference image is affected)

    • Try to explain everything in the image in the prompt

  • T2V

    • Weight: 1.0

If it affects the reference too much in I2V, the following prompts may help:

Positive prompt: (strangely, \"loop video\" seems effective for some cases)

(details of the every visual aspect of the scene), loop video

Negative prompt:

close-up, her face is out of frame, dynamic angle, camera motion, handheld camera, transition, cut, undress

v1.0 tips

  • I2V

    • Weight = 0.7

    • Try to explain everything in the image in the prompt

  • T2V

    • Weight = 1.0

    • Use other nudity or penis loras to enhance the details

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Better I2V consistency

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LTX 2.3 fingering/dildo/masturbation action Lora

Training was done on I2V and V2V modes

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version 1

", + "covered": true, + "stats": { + "downloadCount": 1484, + "thumbsUpCount": 80, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2776856, + "sizeKB": 2632403.7265625, + "name": "SexGod_FingeringDildo_LTX23_v1.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-04-27T15:56:07.140Z", + "metadata": { + "format": "SafeTensor", + "isRequired": false + }, + "hashes": { + "AutoV1": "ADCD5B7F", + "AutoV2": "6CC830BEEF", + "SHA256": "6CC830BEEF93C93CCF2F7BA85A81177543FFEFFCC51253856D9DB1111D8C0484", + "CRC32": "5BA90D36", + "BLAKE3": "20891A743223C3E2E2C8C153C59C016D5E332C0276B154E29446729CCE7DB721", + "AutoV3": "3F656ECE7F34" + }, + "downloadUrl": "https://civitai.com/api/download/models/2898896", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/1cb3d1b8-8eff-4fcb-8d5d-6774f2327de4/original=true/128838112.mp4", + "nsfwLevel": 16, + "width": 832, + "height": 1536, + "hash": "UHP~7txu-o%#h0I@$gTJloo}RPx]~Vx^RPa0", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/9fa2aae2-ce81-4ed9-810a-f707fe597112/original=true/128838181.mp4", + "nsfwLevel": 16, + "width": 1536, + "height": 832, + "hash": "UDNImU009@~Cn4IVELD*x[t69GI:%LM{$%-o", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7475df70-8cc4-483d-9d7b-a51840964aa9/original=true/128838296.mp4", + "nsfwLevel": 16, + "width": 832, + "height": 1536, + "hash": "URN*s@-VEM$*x@t6e.oLyBozo2Rj~AW=o0od", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/8f034a9b-1d96-4b48-ac83-f99fb9e391fb/original=true/128839876.mp4", + "nsfwLevel": 16, + "width": 1536, + "height": 832, + "hash": "UBQj*{-qXM$}}@%1t6WYJ~?FIVxu=GsSoexZ", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2898896" + } + ] +} \ No newline at end of file diff --git a/ltx23/lora/SexGod Handjobs LTX 2.3/SexGod_Handjobs_LTX23_Rank64_v1-mid_2542266-vid_2857106.csv b/ltx23/lora/SexGod Handjobs LTX 2.3/SexGod_Handjobs_LTX23_Rank64_v1-mid_2542266-vid_2857106.csv new file mode 100644 index 0000000000000000000000000000000000000000..47b58c90ed4e3acf96fbf737e296a5dba9dee137 --- /dev/null +++ b/ltx23/lora/SexGod Handjobs LTX 2.3/SexGod_Handjobs_LTX23_Rank64_v1-mid_2542266-vid_2857106.csv @@ -0,0 +1,7 @@ +hash_name, hash_id +AutoV1, FD43E52D +AutoV2, D48CB04491 +SHA256, D48CB044916A09BA7EF5403B06E04B5203E64B0BB253046AAD3C87F74B784B8C +CRC32, 30879019 +BLAKE3, B14588ABF6DD119032260FA53E90495B71ED40F8E819A878B2C8A9BF8772000D +AutoV3, B3AA3B911EF9 \ No newline at end of file diff --git a/ltx23/lora/SexGod Handjobs LTX 2.3/SexGod_Handjobs_LTX23_Rank64_v1-mid_2542266-vid_2857106.safetensors b/ltx23/lora/SexGod Handjobs LTX 2.3/SexGod_Handjobs_LTX23_Rank64_v1-mid_2542266-vid_2857106.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..5248a3019e1cb8048dc857be4faa31765b540e71 --- /dev/null +++ b/ltx23/lora/SexGod Handjobs LTX 2.3/SexGod_Handjobs_LTX23_Rank64_v1-mid_2542266-vid_2857106.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d48cb044916a09ba7ef5403b06e04b5203e64b0bb253046aad3c87f74b784b8c +size 2466640728 diff --git a/ltx23/lora/SexGod Handjobs LTX 2.3/extra_data-vid_2857106/model_dict-mid_2542266-vid_2857106.json b/ltx23/lora/SexGod Handjobs LTX 2.3/extra_data-vid_2857106/model_dict-mid_2542266-vid_2857106.json new file mode 100644 index 0000000000000000000000000000000000000000..c05739cf1c1a509684f42bfa0156c58b4b418d36 --- /dev/null +++ b/ltx23/lora/SexGod Handjobs LTX 2.3/extra_data-vid_2857106/model_dict-mid_2542266-vid_2857106.json @@ -0,0 +1,228 @@ +{ + "id": 2542266, + "name": "SexGod Handjobs LTX 2.3", + "description": "

Handjobs LTX 2.3 Lora

Trained on a ton of cock strokin' goodness! Training was on 9:16 and 16:9 aspect ratios so stick with those. My workflow is embedded into the videos, you can drag them into comfyUI. You should be able to stack this lora with other penis, cum, breast loras as needed to bring in any anatomy details etc required. I think this lora works best in image-to-video mode, but play around with it and see what works. My settings:

Distil lora: 8 steps with ltx-2.3-22b-distilled-lora-dynamic_fro09_avg_rank105_bf16.safetensors (weight 0.6)

IC Detail Lora: ltx-2-19b-ic-lora-detailer.safetensors ( weight 0.5 to 0.8)

Model: unsloth ltx-2-3-22b-dev-Q8_0.gguf

My Workflow: v4.2 of the GGUF workflow, https://civitai.com/models/2354193/ltx-23-all-in-one-workflow-for-rtx-3060-with-12-gb-vram-32-gb-ram

Example Prompts: nude woman with long dark hair sitting on the bed, heavy messy handjob cumshot, thick white cum shooting from thick veiny cock as she strokes and jerks it with both hands, sticky semen dripping down the shaft and onto her fingers, she is looking down at the cock while he orgasms, bedroom setting, close-up view

blonde woman with large bare tits lying on her back on the bed, face and chest covered in thick white cum, heavy messy facial cumshot, sticky semen dripping down her cheek chin and onto her tits, she is looking up with mouth slightly open after the man already came on her, fully nude man standing over her holding his spent thick veiny cock, she is showing off the load on her face and body, close-up view

blonde woman with freckles kneeling on the floor, heavy messy facial cumshot, thick white cum shooting from thick veiny cock directly onto her face and into her eye, long sticky rope of semen dripping from her nose down to her mouth, furrowed brows, scrunched face and distressed expression showing she doesn't like it, man stroking his cock right in front of her, high angle view

close-up of woman lying on her back with eyes closed, heavy messy facial cumshot, thick white cum covering her face, sticky semen dripping down her forehead nose cheeks and eyelids, man standing above her with his thick veiny cock right over her face after he came, close-up view, clothed man masturbating above woman's face

woman with glasses lying on her back, mouth wide open with tongue out and eyes looking up, heavy messy facial cumshot, thick white cum shooting from thick veiny cock directly toward her open mouth and face, sticky ropes of semen landing on her tongue and lips, man stroking his cock right above her, bedroom setting

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version 1

", + "covered": false, + "stats": { + "downloadCount": 1994, + "thumbsUpCount": 116, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2743049, + "sizeKB": 2408828.8359375, + "name": "SexGod_Handjobs_LTX23_Rank64_v1.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2026-04-14T12:21:33.052Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "FD43E52D", + "AutoV2": "D48CB04491", + "SHA256": "D48CB044916A09BA7EF5403B06E04B5203E64B0BB253046AAD3C87F74B784B8C", + "CRC32": "30879019", + "BLAKE3": "B14588ABF6DD119032260FA53E90495B71ED40F8E819A878B2C8A9BF8772000D", + "AutoV3": "B3AA3B911EF9" + }, + "downloadUrl": "https://civitai.com/api/download/models/2857106", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/904b125e-0e3d-4065-83fa-64054371b30b/original=true/127420061.mp4", + 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"type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/372a6235-9380-4c42-913b-7f190ad83971/original=true/127426680.mp4", + "nsfwLevel": 16, + "width": 1536, + "height": 832, + "hash": "UDH-Px-U0z%f~qIV$wWA57n6tQELs+%2oyE1", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/3c627de9-16cb-491d-9b59-6d5dfa8da8e6/original=true/127429321.mp4", + "nsfwLevel": 16, + "width": 832, + "height": 1536, + "hash": "U9Iz-bxuCm%h00t7S$M|0oRj9FXSD4oIMdM{", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": 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Nudity/extra_data-vid_2778606/model_dict-mid_2308157-vid_2778606.json @@ -0,0 +1,1042 @@ +{ + "id": 2308157, + "name": "SexGod LTX 2.3 Female Nudity", + "description": "

Version 2.0 - LTX 2.3/I2V/T2V

Version 2.0, LTX 2.3 ready, I2V and T2V

I run about 417 frames when I generate videos, the training set assumes video lengths of about 10-15 seconds to fit the motions trained.

If you make a good video with the lora all I ask is you post it to the gallery, share it as that is what helps me improve the lora in the next training session. I hope everyone enjoys this lora, any input you give me or suggestions ill take for the next version

I feel LTX 2.3 does better with a strong starting image (I2V) but both work. This version 2.0 was trained to do both T2V and I2V modes at the same time.

Version 2.0 was trained on 105 high res nude female videos in various positions and lighting conditions focused on female anatomy (breast jiggle, vulva, nipples, natural ass movement , walking, showering, masturbating etc). it should be a step up over version 1. further training and refinement on more diverse datasets will come next as this lora is improved. trigger word is 'LTXNUDES'.

Bouncing Tits:

\"young nude woman jogging on the spot outdoors in public park, high-energy motion causing large natural breasts to bounce and jiggle wildly up and down with each step, heavy sag and rebound, erect pink nipples swaying prominently, wide pale areolas textured and bumpy\"

Trigger word: LTXNUDES

Choose a workflow:

Work Flow 1: https://civitai.com/models/2354193/ltx-23-all-in-one-workflow-for-rtx-3060-with-12-gb-vram-32-gb-ram

Workflow 2: https://civitai.com/models/2445871/ltx-23-i2v-fp8bf16

Training captions:

close-up low-angle view of young nude woman on bed

smoothed shaved pussy

fingers parting slick outer labia and circling swollen clitoris

baby oil all over her toned body

actively thrusts her hups up and down in steady rhythm

duldo fully inserted into her shaved pussy

she energetically bounces up and down

breasts jiggling

striking large breasts

massages her large natural breasts with both hands

fingers circling nipples

she teases the camera by slowly running her hands all over her body

close-up of a beautiful woman's shaved pussy as she masturbates

small areolas and perky breasts

realistic dildo mounted on the floor

she firmly squeezes her large breasts together

stands in steamy shower under warm running water

intense pleasure expression

intimate erotic self-pleasure scene

both hands gently spreading vulva wide open, parting her labia fully to reveal pink inner folds

intimate risky public flash

using one hand to gently spread her firm butt cheeks wide apart

she slowly turns her body to the side in a sensual sway, hips twisting gracefully

one finger inserted deeply into her tight anus

fully exposing tight pink anus and wet shaved vulva from behind

large pale natural breasts with puffy pink areolas and small erect nipple

one hand sliding up along her side and cupping her breast teasingly

upward and over her large augmented breasts to fully expose them

nude woman on all fours outside

soft belly and wide hips

labia spreading motion, clitoris detail, arousal wetness, and wide-spread legs pose

thick outer labia majora glistening with arousal fluids

reaching back with both hands to spread large plump buttocks wide apart

close-up low-angle view of young woman nude from waist down

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 10267803, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 18867, + "thumbsUpCount": 618, + "thumbsDownCount": 1, + "commentCount": 38, + "tippedAmountCount": 920 + }, + "creator": { + "username": "sexgod1979", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b160338c-0ded-428e-a4c5-9218962eb58d/width=96/sexgod1979.jpeg" + }, + "tags": [ + "nudity", + "style", + "breasts", + "nsfw", + "ltx", + "sexy", + "nude", + "ltx 2.3", + "lora" + ], + "modelVersions": [ + { + "id": 2778606, + "index": 0, + "name": "v2.0", + "baseModel": "LTXV 2.3", + "baseModelType": "Standard", + "createdAt": "2026-03-16T21:30:38.226Z", + "publishedAt": "2026-03-16T21:37:36.131Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "description": "

v2.0 i2v t2v ltx 2.3

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[LTX 2.3] Singularity: Cinematic Motion & Shot Control (Alpha)

The 10% Miracle. This LoRA is a comprehensive optimizer for LTX-2.3 Image-to-Video and First/Last Frame workflows. Even at only 11,500 steps (10% of training), it delivers a massive leap in physical coherence and cinematic quality.

🚀 What's New in This Version?

  • 🎬 Shot Injection & Timing: Precise control over camera cuts and motion flows using the 0-X seconds format.

  • 🖐️ Physical Correction: Significantly improved finger/toe stability and limb consistency during movement.

  • 🗣️ Human Expression: Reduces \"AI Stiffness.\" Characters feel alive with natural micro-expressions and optimized Chinese lip-sync.

  • 📽️ Cinematic Lighting: Injected professional film-grade lighting and shadow contrast.

  • 🚫 No More Subtitles: Effectively suppresses the hardcoded AI subtitles from the base model.

  • ✨ Cross-Style Potential: Outstanding performance on Anime/Stylized conversion (even without specific anime training data).

🛠️ Usage Tips & Parameters

  • Base Model: ltx-2.3-22b-distilled-1.1 (Works best with transformer-only fp8 scaled version)

  • LoRA Weight: 0.8 - 1.0 (Start with 1.0)

  • You can click on the link below to try it out directly. If the effect is good, you can deploy it locally

    https://www.runninghub.ai/post/2053064469290463233/?inviteCode=sdhs0trb

  • Note: High-dynamic physics (extreme motion) is still being refined due to the early training stage.

📜 Prompting Framework (Singularity Protocol)

To unlock the full power of this LoRA, follow this structure: (English for visuals, Chinese for Timing/Dialogue)

  1. Scene & Style: Cinematic Wuxia style, indoor dim lighting...

  2. Action Timeline: 0-5s, young man looks down then raises his head...

  3. Camera Timeline: 0-5s, tight close-up, slight handheld movement...

  4. Dialogue: 0-5s，男子说：这都什么呀？ (Use Chinese here)

  5. Technical: film grain, cinematic bokeh，无字幕

Full Example: Cinematic wuxia style, indoor dim lighting, mysterious mood. 0-10s, young man in ancient white robes looks down with a confused expression. 0-10s, tight close-up, static camera with slight handheld movement. Dark stone background, warm candlelight bokeh. 0-10s，男子说：这都什么呀？都没听说过呀。Voice: low, Pace: slow. Precise lip-sync, film grain, cinematic bokeh，无字幕。

❤️ Community Feedback

This is an Early Alpha (10%) release. I decided to release it now because the initial results were too good to keep hidden.

If you like this model:

  1. Post your generations! I need to see how it performs across different workflows.

  2. Leave a Review. Your feedback directly shapes the 100% full version training set.

  3. Follow me for the upcoming full release!

If you have questions, feedback, or want to collaborate on AI video workflows, feel free to reach out:

  • WeChat (微信): aigctyd

  • QQ Group (QQ社群): 1058747239

  • Email: a592991299@gmail.com

I'm actively looking for community feedback to refine the full version of this LoRA. Let's push the boundaries of LTX2.3 together!

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Trained on 160 5-15 second clips of women kissing passionately. Trained specifically on lesbian videos, so no idea if it will work for guy girl, guy guy. I haven't tried.

Still iterating, definitely needs more diverse data.

The subjects in the training videos were picked up in the lora a bit - so if you see the same people in T2V over and over lower the strength to .7 or so.

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Trigger: She is wearing tiny panties.

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https://huggingface.co/Playtime-AI/models

https://ko-fi.com/playtime_ai_

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The BFS (Best Face Swap) LoRA series was developed for Qwen Image Edit 2509, specialized in high-fidelity face and head replacement tasks with natural tone blending and consistent lighting.

Each version builds upon the previous one:

  • 🧠 Focus Faces: precise face swaps, keeping the original head shape and hair while transferring facial identity and expression.

  • 🧩 Focus Head: stronger head swaps, replacing the full head (including hair and pose orientation).

  • The 2 versions complement each other, one is focused on face swapping and the other is focused on head swapping.

[Note] This version is fully compatible with the 2509 and 2511, but it was trained using the 2509 as a base. I am currently training a version using the 2511 as a base; I will release it soon.


If this model was helpful to you in any way, please consider helping me continue creating more model for the price of a coffee.

Workflows:
Head/Face Swap Workflow - Qwen-Image-Edit-2509 | Civitai

Face Swap Video Tests (V1):
Face Swap - Qwen Image Edit 2509 (English)

About Flux 2:

I've done my best so far, but the results aren't as good as with QWEN. The base Flux 2 model can already handle head swapping, but with some difficulties. The goal of this LoRa was to try and improve that a bit, but I haven't achieved very good results. It might be a configuration issue, so here's this beta version for you to test.

Try with CFG: 8.0

PERSONAL NOTES:

The swap quality will always depend heavily on the quality of your input images. Larger, clean images with little noise or compression artifacts generally produce the best results. Keep in mind that the model always follows the quality of the body image, since it becomes the final rendered frame—so even if the face source is high-quality, a low-resolution or noisy body image will limit the outcome.

Most of the images I generate are created without using the LightX2V lighting LoRA, since I noticed that enabling it tends to make the skin appear more plastic-like and reddish, and finding the right balance requires extra tuning that I didn’t focus on. If anyone has discovered good configurations, feel free to share them in the comments of this template.

In short, using LightX2V makes the model less versatile because it operates with a fixed CFG value of 1.0. So before assuming it “didn’t work,” I recommend first testing the workflow I published without LightX2V to compare the results.

If you’re getting results with too much contrast, overly strong colors, or plastic-like textures while using LightX2V’s lightning models, try reducing the number of inference steps. For example, if you’re using the Qwen Image Edit 2509 Lightning (8 steps) model, try running it with 4 steps instead. The excessive contrast often comes from running too many steps while CFG remains fixed at 1.0.

If you encounter similar issues without using the lighting LoRA, try lowering the steps as well—e.g., from 20 down to around 16 or fewer—and reduce CFG to values like 1.2 or 1.5, which can help produce smoother, more natural results.

Another important detail: in images where the body is positioned farther from the camera, the face region becomes smaller, which can reduce swap accuracy and overall quality. This happens because the model has less pixel information to work with in that small facial area. To handle these cases, you can use my older workflow, which automatically crops the face region from the body image and performs an inpainting-like process to improve results in distant or small-face compositions.

Finally, if you notice loss of similarity between faces or poses—especially when the reference and target images differ significantly in aesthetics or angles—try increasing the strength of your head swap LoRA slightly (for instance, to 1.2 or 1.3) to restore consistency.

⚙️ BFS — “Focus Faces”

Trained on 240 image triplets (face, body, and result),
with a LoRA rank of 16 → later increased to 32,
and gradient accumulation = 2, running for 5500 steps on an NVIDIA L40S GPU.

This version produces stable and detailed face swaps, preserving expression, lighting, and gaze direction while maintaining the body’s natural look.

🔧 Model Notes

  • You don't need to use my workflow to make this lora work, if you are having problems with it use yours, it is the simple workflow of qwen image edit + lora and the inputs in the right order: face image 1, body image 2.

  • Quantization: not guaranteed to work below FP8 (avoid GGUF Q4).

  • Face mask: optional — remove if MediaPipe or Planar Overlay cause issues.

  • Pose conditioning: use MediaPipe Face Mesh or DWPose if you need more alignment control.

  • Lightning LoRA: may produce plastic-like skin, especially when mixed with other Qwen-based LoRAs.

⚙️ Recommended Settings

Samplers:

  • er_sde + beta57 / kl_optimal / ddim_uniform (best results)

  • ddim + ddim_uniform (sometimes most realistic)

  • res_2s + beta57

Don't get attached to one setting, sometimes if it doesn't work well with one, switch to another.

Precision:

  • 🧠 Best: fp16

  • ⚙️ Recommended: gguf q8 or fp8

  • ⚠️ Below fp8: noticeable degradation

Inference Tips:

  • With Qwen Image Edit 2509 Lightining LoRA → use 4 / 8 steps for fast generation.

  • Without it → use 12–20 steps, CFG 1.0–2.5 for realism.

🧬 BFS — “Focus Head”

The “Focus Head” version was trained as a continuation of Focus Face, extending the dataset and shifting focus toward full head swaps.

It was trained on a NVIDIA RTX 6000 PRO, rank 32, for 12,000 steps, using 628 image pairs (face, body, target, and sometimes pose maps generated via MediaPipe).

🔹 Training Phases

  1. Standard Face Swap – same Focus Face, focusing on facial identity.

  2. Pose-Conditioned Face Swap – added pose maps to align gaze and head angle.

  3. Full Head Swap – replaced the entire head (including hair) for stronger identity control.

After ~2000 steps, the focus moved toward head swap refinement.
At ~4000 steps, the dataset was narrowed to perfect skin-tone matches, and by the end of training,
the dataset evolved from 628 → 138 → 76 high-quality samples for final fine-tuning.

⚠️ Note:
While Focus Face can still perform standard face swaps, it’s more naturally inclined toward full head swaps due to its data balance.
This was intentional in part, but also a side-effect of dataset distribution and mixed conditioning.

⚠️ Important Notice

Do not use or share results involving real people, celebrities, or public figures.
Civitai’s moderation may disable posts that violate likeness or consent rules.
This model is intended only for artistic and fictional characters, educational use, and AI experimentation.

I take no responsibility for any misuse of this model. Please use it responsibly and respect all likeness rights.

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This version attempts to improve the cloning of facial expressions; this copy is not yet perfect, but in this version it seems to work better than the previous one.

All examples posted were made using QIE 2511.

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Ensure the new head mimics the identical expression, angle, and rotation found in Picture 1. high quality, sharp details, 4k" + ], + "covered": false, + "stats": { + "downloadCount": 1218, + "thumbsUpCount": 125, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2418839, + "sizeKB": 144331, + "name": "bfs_head_swap_v4.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2025-12-24T00:05:47.263Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "59F17E5B", + "AutoV2": "CD3278C33C", + "SHA256": "CD3278C33C7DF36BB87169D0A283851D60E88ECAC48123B5C8DCC82551D6E402", + "CRC32": "3B0EF80B", + "BLAKE3": "2A61AB84A8BF890D56CE23031DDB93AAD7A3E939853181787611F7DC01D177C7", + "AutoV3": "03AFF24EE3AB" + }, + "downloadUrl": "https://civitai.com/api/download/models/2530858", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4bca35c8-96ab-4b7f-92b2-6ea7992d50bf/original=true/114987387.jpeg", + "nsfwLevel": 1, + "width": 2190, + "height": 2020, + "hash": "UIHL6u~WIprq?vxvnOIpM{s;e.i_NxtRS4o0", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/8f818ee3-fa8d-4857-853f-8b2c0b6753f5/original=true/115238335.jpeg", + "nsfwLevel": 1, + "width": 1818, + "height": 1754, + "hash": "UBHdv?.4:h-:4,=xys-60h^7vfK70M0}9FNG", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": false, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/a589b79e-fda8-4831-a378-089ea09fabf3/original=true/115047708.jpeg", + "nsfwLevel": 1, + "width": 1791, + "height": 1934, + "hash": "UJEnSF?bozR5_N-;ozRQ-po|t7WYT0S#bbW;", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/43abe890-c321-4617-b1f8-a4b8a9b06bfc/original=true/115051515.jpeg", + "nsfwLevel": 1, + "width": 3176, + "height": 2438, + "hash": "U4H1SUxy0Q}[%~0-03r^OkDP02?Yi{-7^i^%", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/5a2ed04c-d183-4774-88c0-d248bbd43637/original=true/115218149.jpeg", + "nsfwLevel": 1, + "width": 1919, + "height": 1928, + "hash": "UHL{@:V[oM8^TI9ZE2jEx^ngWBRP~W-U$*IU", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/0973c468-5bcf-402f-8ffa-8d385933feb4/original=true/114945124.jpeg", + "nsfwLevel": 1, + "width": 1911, + "height": 2044, + "hash": "URM%+bW=oz4TI9NGNGn~_ND%M{kWD%o0xukC", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/8df082ab-2af6-4c42-9027-6b4623573b97/original=true/114986591.jpeg", + "nsfwLevel": 1, + "width": 2492, + "height": 2478, + "hash": "U6B3vgrV$%_3Q,~UROogM_?b%M4o9ZyDxvIU", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6593ee32-e297-4531-843f-89a96434fefa/original=true/115049711.jpeg", + "nsfwLevel": 1, + "width": 2829, + "height": 2594, + "hash": "UUG8+b%2V@R5~WIARPaKWBD%M{ogtRxuayoz", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/43e38ef7-8a86-4fbb-a082-8091099a0276/original=true/115049751.jpeg", + "nsfwLevel": 1, + "width": 576, + "height": 1024, + "hash": "UCHw1N9tEN~B0c-Xs;s,0yt5oaNG,0ad-TIo", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b5781483-ebf7-4104-bc13-b8f0ac9d2046/original=true/115050052.jpeg", + "nsfwLevel": 1, + "width": 680, + "height": 1024, + "hash": "UiQ9vFMx?^-=DiIAtRxvbcRjRPfkbvofnijZ", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2530858" + }, + { + "id": 2372254, + "index": 1, + "name": "QIE - 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This is an optional version that works nicely. It was trained with only a rank of 4, meaning the LoRa is much shorter and works well in my tests. Feel free to test it and post your results here; this helps improve this LoRa.

One of the big differences in this version is the order of the face and body inputs; now you need to send the body first and then the face, unlike other versions. This was a test I was doing and it ended up this way, so it's very important to keep this in mind. In the latent form, if you're going to pass an image, pass the body image or an empty latent form.

The trigger should be this: \"head_swap: start with Picture 1 as the base image, keeping its lighting, environment, and background. remove the head from Picture 1 completely and replace it with the head from Picture 2. ensure the head and body have correct anatomical proportions, and blend the skin tones, shadows, and lighting naturally so the final result appears as one coherent, realistic person.\"

Note: Often the size of the head depends on the input image, so keep that in mind.

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I tried my best, the results aren't as good as with QWEN. The base flux model can already do head swapping, but with some difficulties. The goal of this LoRa was to try and improve that a bit, but I couldn't achieve a very good result. It might be some configuration issue, so here's this beta for you to test.

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Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"version\": \"7.5.1\", \"widget_ue_connectable\": {}, \"input_ue_unconnectable\": {}}}, \"widgets_values\": [1108858538725831, \"randomize\", 4, 1, \"euler\", \"simple\", 1]}, {\"id\": 341, \"type\": \"UNETLoader\", \"pos\": [-224.60242971931294, 1387.6050502007934], \"size\": [330, 90], \"flags\": {}, \"order\": 4, \"mode\": 4, \"inputs\": [], \"outputs\": [{\"name\": \"MODEL\", \"type\": \"MODEL\", \"slot_index\": 0, \"links\": [521]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.48\", \"Node name for S&R\": \"UNETLoader\", \"models\": [{\"name\": \"qwen_image_edit_2509_fp8_e4m3fn.safetensors\", \"url\": \"https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI/resolve/main/split_files/diffusion_models/qwen_image_edit_2509_fp8_e4m3fn.safetensors\", \"directory\": \"diffusion_models\"}], \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"version\": \"7.5.1\", \"widget_ue_connectable\": {}, \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"qwen_image_edit_2509_fp8_e4m3fn.safetensors\", \"default\"]}, {\"id\": 345, \"type\": \"EmptySD3LatentImage\", \"pos\": [795.3975702806872, 2337.60505020079], \"size\": [270, 106], \"flags\": {}, \"order\": 5, \"mode\": 4, \"inputs\": [], \"outputs\": [{\"name\": \"LATENT\", \"type\": \"LATENT\", \"links\": []}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.59\", \"Node name for S&R\": \"EmptySD3LatentImage\", \"ue_properties\": {\"widget_ue_connectable\": {}, \"version\": \"7.5.1\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [1024, 1024, 1]}, {\"id\": 351, \"type\": \"MarkdownNote\", \"pos\": [775.3975702806874, 2507.60505020079], \"size\": [330, 90], \"flags\": {}, \"order\": 6, \"mode\": 4, \"inputs\": [], \"outputs\": [], \"title\": \"Note: About image size\", \"properties\": {\"ue_properties\": {\"widget_ue_connectable\": {}, \"version\": \"7.5.1\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"You can use the latent from the **EmptySD3LatentImage** to replace **VAE Encode**, so you can customize the image size.\"], \"color\": \"#432\", \"bgcolor\": \"#653\"}, {\"id\": 339, \"type\": \"ModelSamplingAuraFlow\", \"pos\": [785.3975702806874, 1347.6050502007934], \"size\": [290, 60], \"flags\": {}, \"order\": 25, \"mode\": 4, \"inputs\": [{\"name\": \"model\", \"type\": \"MODEL\", \"link\": 502}], \"outputs\": [{\"name\": \"MODEL\", \"type\": \"MODEL\", \"links\": [499]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.48\", \"Node name for S&R\": \"ModelSamplingAuraFlow\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"version\": \"7.5.1\", \"widget_ue_connectable\": {}, \"input_ue_unconnectable\": {}}}, \"widgets_values\": [3]}, {\"id\": 99, \"type\": \"MarkdownNote\", \"pos\": [-840, -140], \"size\": [550, 550], \"flags\": {}, \"order\": 7, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"title\": \"Model links\", \"properties\": {\"ue_properties\": {\"version\": \"7.5.1\", \"widget_ue_connectable\": {}, \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"[Tutorial](https://docs.comfy.org/tutorials/image/qwen/qwen-image-edit)\\n\\n\\n## Model links\\n\\nYou can find all the models on [Comfy-Org/Qwen-Image_ComfyUI](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/tree/main) and [Comfy-Org/Qwen-Image-Edit_ComfyUI](https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI) \\n\\n**Diffusion model**\\n\\n- [qwen_image_edit_2509_fp8_e4m3fn.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI/resolve/main/split_files/diffusion_models/qwen_image_edit_2509_fp8_e4m3fn.safetensors)\\n\\n**LoRA**\\n\\n- [Qwen-Image-Edit-2509-Lightning-4steps-V1.0-bf16.safetensors](https://huggingface.co/lightx2v/Qwen-Image-Lightning/resolve/main/Qwen-Image-Edit-2509/Qwen-Image-Edit-2509-Lightning-4steps-V1.0-bf16.safetensors)\\n\\n**Text encoder**\\n\\n- [qwen_2.5_vl_7b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors)\\n\\n**VAE**\\n\\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/vae/qwen_image_vae.safetensors)\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_image_edit_2509_fp8_e4m3fn.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 loras/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 Qwen-Image-Lightning-4steps-V1.0.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_image_vae.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2514\\u2500\\u2500 qwen_2.5_vl_7b_fp8_scaled.safetensors\\n```\\n\\n## Report issue\\nIf you have any problems running this workflow, please report template-related issues via this link: [report the template issue here](https://github.com/Comfy-Org/workflow_templates/issues)\"], \"color\": \"#432\", \"bgcolor\": \"#653\"}, {\"id\": 354, \"type\": \"LoraLoaderModelOnly\", \"pos\": [-224.60242971931294, 1527.6050502007934], \"size\": [330, 82], \"flags\": {}, \"order\": 21, \"mode\": 4, \"inputs\": [{\"name\": \"model\", \"type\": \"MODEL\", \"link\": 521}], \"outputs\": [{\"name\": \"MODEL\", \"type\": \"MODEL\", \"links\": [502]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.50\", \"Node name for S&R\": \"LoraLoaderModelOnly\", \"models\": [{\"name\": \"Qwen-Image-Edit-2509-Lightning-4steps-V1.0-bf16.safetensors\", \"url\": \"https://huggingface.co/lightx2v/Qwen-Image-Lightning/resolve/main/Qwen-Image-Edit-2509/Qwen-Image-Edit-2509-Lightning-4steps-V1.0-bf16.safetensors\", \"directory\": \"loras\"}], \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"widget_ue_connectable\": {\"lora_name\": true, \"strength_model\": true}, \"version\": \"7.5.1\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"Qwen-Image-Edit-2509-Lightning-4steps-V1.0-bf16.safetensors\", 1]}, {\"id\": 97, \"type\": \"MarkdownNote\", \"pos\": [740, 610], \"size\": [300, 160], \"flags\": {}, \"order\": 8, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"title\": \"Note: KSampler settings\", \"properties\": {\"ue_properties\": {\"widget_ue_connectable\": {}, \"version\": \"7.5.1\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"You can test and find the best setting by yourself. The following table is for reference.\\n| Parameters | Qwen Team | Comfy Original | with 4steps LoRA |\\n|--------|---------|------------|---------------------------|\\n| Steps | 50 | 20 | 4 |\\n| CFG | 4.0 | 2.5 | 1.0 |\"], \"color\": \"#432\", \"bgcolor\": \"#653\"}, {\"id\": 336, \"type\": \"VAEDecode\", \"pos\": [1125.3975702806863, 1347.6050502007934], \"size\": [210, 46], \"flags\": {\"collapsed\": false}, \"order\": 42, \"mode\": 4, \"inputs\": [{\"name\": \"samples\", \"type\": \"LATENT\", \"link\": 500}, {\"name\": \"vae\", \"type\": \"VAE\", \"link\": 501}], \"outputs\": [{\"name\": \"IMAGE\", \"type\": \"IMAGE\", \"slot_index\": 0, \"links\": [507]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.48\", \"Node name for S&R\": \"VAEDecode\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"version\": \"7.5.1\", \"widget_ue_connectable\": {}, \"input_ue_unconnectable\": {}}}, \"widgets_values\": []}, {\"id\": 388, \"type\": \"MarkdownNote\", \"pos\": [-600, 1250], \"size\": [310, 150], \"flags\": {}, \"order\": 9, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"title\": \"Note: Raw latent version\", \"properties\": {\"ue_properties\": {\"widget_ue_connectable\": {}, \"version\": \"7.5.1\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"Since the **TextEncodeQwenImageEditPlus** node will scale the image to 1M pixels, you might find that the output has a pixel-shifting issue.\\n\\nThe **Raw latent version** is to provide the raw latent to the sampler. This is the way you can provide the raw latent as an input condition.\"], \"color\": \"#432\", \"bgcolor\": \"#653\"}, {\"id\": 397, \"type\": \"FluxKontextImageScale\", \"pos\": [125.39757028068712, 2027.6050502007913], \"size\": [194.9458984375, 26], \"flags\": {}, \"order\": 22, \"mode\": 4, \"inputs\": [{\"name\": \"image\", \"type\": \"IMAGE\", \"link\": 632}], \"outputs\": [{\"name\": \"IMAGE\", \"type\": \"IMAGE\", \"links\": [633]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.70\", \"Node name for S&R\": \"FluxKontextImageScale\", \"ue_properties\": {\"widget_ue_connectable\": {}, \"version\": \"7.5.1\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": []}, {\"id\": 375, \"type\": \"VAEEncode\", \"pos\": [135.3975702806871, 2137.60505020079], \"size\": [140, 46], \"flags\": {}, \"order\": 26, \"mode\": 4, \"inputs\": [{\"name\": \"pixels\", \"type\": \"IMAGE\", \"link\": 633}, {\"name\": \"vae\", \"type\": \"VAE\", \"link\": 593}], \"outputs\": [{\"name\": \"LATENT\", \"type\": \"LATENT\", \"links\": [600, 618]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.50\", \"Node name for S&R\": \"VAEEncode\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"widget_ue_connectable\": {}, \"version\": \"7.5.1\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": []}, {\"id\": 395, \"type\": \"ReferenceLatent\", \"pos\": [425.3975702806869, 2117.60505020079], \"size\": [204.134765625, 50], \"flags\": {}, \"order\": 33, \"mode\": 4, \"inputs\": [{\"name\": \"conditioning\", \"type\": \"CONDITIONING\", \"link\": 625}, {\"name\": \"latent\", \"shape\": 7, \"type\": \"LATENT\", \"link\": 618}], \"outputs\": [{\"name\": \"CONDITIONING\", \"type\": \"CONDITIONING\", \"links\": [691]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.63\", \"Node name for S&R\": \"ReferenceLatent\", \"ue_properties\": {\"widget_ue_connectable\": {}, \"version\": \"7.5.1\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": []}, {\"id\": 389, \"type\": \"MarkdownNote\", \"pos\": [785.3975702806874, 2087.60505020079], \"size\": [300, 160], \"flags\": {}, \"order\": 10, \"mode\": 4, \"inputs\": [], \"outputs\": [], \"title\": \"Note: KSampler settings\", \"properties\": {\"ue_properties\": {\"widget_ue_connectable\": {}, \"version\": \"7.5.1\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"You can test and find the best setting by yourself. The following table is for reference.\\n| Parameters | Qwen Team | Comfy Original | with 4steps LoRA |\\n|--------|---------|------------|---------------------------|\\n| Steps | 50 | 20 | 4 |\\n| CFG | 4.0 | 2.5 | 1.0 |\"], \"color\": \"#432\", \"bgcolor\": \"#653\"}, {\"id\": 112, \"type\": \"EmptySD3LatentImage\", \"pos\": [750, 860], \"size\": [270, 106], \"flags\": {}, \"order\": 11, \"mode\": 4, \"inputs\": [], \"outputs\": [{\"name\": \"LATENT\", \"type\": \"LATENT\", \"links\": []}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.59\", \"Node name for S&R\": \"EmptySD3LatentImage\", \"ue_properties\": {\"widget_ue_connectable\": {}, \"version\": \"7.5.1\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [1024, 1024, 1]}, {\"id\": 349, \"type\": \"LoadImage\", \"pos\": [-194.60242971931288, 2007.6050502007906], \"size\": [274.080078125, 314.0000305175781], \"flags\": {}, \"order\": 12, \"mode\": 4, \"inputs\": [], \"outputs\": [{\"name\": \"IMAGE\", \"type\": \"IMAGE\", \"links\": [632]}, {\"name\": \"MASK\", \"type\": \"MASK\", \"links\": null}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.50\", \"Node name for S&R\": \"LoadImage\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"widget_ue_connectable\": {\"image\": true, \"upload\": true}, \"version\": \"7.5.1\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"image_qwen_image_edit_2509_input_image-2.png\", \"image\"]}, {\"id\": 342, \"type\": \"SaveImage\", \"pos\": [1115.3975702806863, 1447.6050502007934], \"size\": [950, 1040], \"flags\": {}, \"order\": 44, \"mode\": 4, \"inputs\": [{\"name\": \"images\", \"type\": \"IMAGE\", \"link\": 507}], \"outputs\": [], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.48\", \"Node name for S&R\": \"SaveImage\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"version\": \"7.5.1\", \"widget_ue_connectable\": {}, \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"ComfyUI\"]}, {\"id\": 348, \"type\": \"TextEncodeQwenImageEditPlus\", \"pos\": [245.397570280687, 1397.6050502007934], \"size\": [400, 200], \"flags\": {}, \"order\": 20, \"mode\": 4, \"inputs\": [{\"name\": \"clip\", \"type\": \"CLIP\", \"link\": 515}, {\"name\": \"vae\", \"shape\": 7, \"type\": \"VAE\", \"link\": null}, {\"name\": \"image1\", \"shape\": 7, \"type\": \"IMAGE\", \"link\": null}, {\"name\": \"image2\", \"shape\": 7, \"type\": \"IMAGE\", \"link\": null}, {\"name\": \"image3\", \"shape\": 7, \"type\": \"IMAGE\", \"link\": null}], \"outputs\": [{\"name\": \"CONDITIONING\", \"type\": \"CONDITIONING\", \"links\": [625]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.59\", \"Node name for S&R\": \"TextEncodeQwenImageEditPlus\", \"ue_properties\": {\"widget_ue_connectable\": {}, \"version\": \"7.5.1\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"Change the time to night, keep the same scene\"], \"color\": \"#232\", \"bgcolor\": \"#353\"}, {\"id\": 347, \"type\": \"TextEncodeQwenImageEditPlus\", \"pos\": [245.397570280687, 1667.6050502007934], \"size\": [400, 200], \"flags\": {}, \"order\": 19, \"mode\": 4, \"inputs\": [{\"name\": \"clip\", \"type\": \"CLIP\", \"link\": 510}, {\"name\": \"vae\", \"shape\": 7, \"type\": \"VAE\", \"link\": null}, {\"name\": \"image1\", \"shape\": 7, \"type\": \"IMAGE\", \"link\": null}, {\"name\": \"image2\", \"shape\": 7, \"type\": \"IMAGE\", \"link\": null}, {\"name\": \"image3\", \"shape\": 7, \"type\": \"IMAGE\", \"link\": null}], \"outputs\": [{\"name\": \"CONDITIONING\", \"type\": \"CONDITIONING\", \"links\": [631]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.59\", \"Node name for S&R\": \"TextEncodeQwenImageEditPlus\", \"ue_properties\": {\"widget_ue_connectable\": {}, \"version\": \"7.5.1\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"\"], \"color\": \"#223\", \"bgcolor\": \"#335\"}, {\"id\": 446, \"type\": \"Reroute\", \"pos\": [2079.760492261495, 1054.6883039368697], \"size\": [75, 26], \"flags\": {}, \"order\": 37, \"mode\": 0, \"inputs\": [{\"name\": \"\", \"type\": \"*\", \"link\": 717}], \"outputs\": [{\"name\": \"\", \"type\": \"IMAGE\", \"links\": [718]}], \"properties\": {\"showOutputText\": false, \"horizontal\": false, \"ue_properties\": {\"widget_ue_connectable\": {}, \"version\": \"7.5.1\", \"input_ue_unconnectable\": {}}}}, {\"id\": 447, \"type\": \"Reroute\", \"pos\": [2086.7402531690495, 1114.016271651083], \"size\": [75, 26], \"flags\": {}, \"order\": 29, \"mode\": 0, \"inputs\": [{\"name\": \"\", \"type\": \"*\", \"link\": 719}], \"outputs\": [{\"name\": \"\", \"type\": \"IMAGE\", \"links\": [720]}], \"properties\": {\"showOutputText\": false, \"horizontal\": false, \"ue_properties\": {\"widget_ue_connectable\": {}, \"version\": \"7.5.1\", \"input_ue_unconnectable\": {}}}}, {\"id\": 439, \"type\": \"ImageConcanate\", \"pos\": [2225.261967228374, 964.0466808057298], \"size\": [315, 102], \"flags\": {}, \"order\": 41, \"mode\": 0, \"inputs\": [{\"name\": \"image1\", \"type\": \"IMAGE\", \"link\": 718}, {\"name\": \"image2\", \"type\": \"IMAGE\", \"link\": 720}], \"outputs\": [{\"name\": \"IMAGE\", \"type\": \"IMAGE\", \"links\": [709]}], \"properties\": {\"cnr_id\": \"comfyui-kjnodes\", \"ver\": \"e81f33508b0821ea2f53f4f46a833fa6215626bd\", \"Node name for S&R\": \"ImageConcanate\", \"ue_properties\": {\"version\": \"7.1\", \"widget_ue_connectable\": {}, \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"down\", true]}, {\"id\": 440, \"type\": \"ImageConcanate\", \"pos\": [2231.1788824759697, 1150.391686021368], \"size\": [315, 102], \"flags\": {}, \"order\": 47, \"mode\": 0, \"inputs\": [{\"name\": \"image1\", \"type\": \"IMAGE\", \"link\": 709}, {\"name\": \"image2\", \"type\": \"IMAGE\", \"link\": 712}], \"outputs\": [{\"name\": \"IMAGE\", \"type\": \"IMAGE\", \"links\": [726]}], \"properties\": {\"cnr_id\": \"comfyui-kjnodes\", \"ver\": \"e81f33508b0821ea2f53f4f46a833fa6215626bd\", \"Node name for S&R\": \"ImageConcanate\", \"ue_properties\": {\"version\": \"7.1\", \"widget_ue_connectable\": {}, \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"right\", true]}, {\"id\": 449, \"type\": \"AddLabel\", \"pos\": [2754.569112571502, 1077.0285861888094], \"size\": [270, 270], \"flags\": {}, \"order\": 48, \"mode\": 0, \"inputs\": [{\"name\": \"image\", \"type\": \"IMAGE\", \"link\": 726}, {\"name\": \"caption\", \"shape\": 7, \"type\": \"STRING\", \"link\": null}, {\"name\": \"text\", \"type\": \"STRING\", \"widget\": {\"name\": \"text\"}, \"link\": 728}], \"outputs\": [{\"name\": \"IMAGE\", \"type\": \"IMAGE\", \"links\": [727]}], \"properties\": {\"cnr_id\": \"comfyui-kjnodes\", \"ver\": \"6ee278aa7d802c03ad713a7c5fbc02861b6773a8\", \"Node name for S&R\": \"AddLabel\", \"ue_properties\": {\"widget_ue_connectable\": {\"text_x\": true, \"text_y\": true, \"height\": true, \"font_size\": true, \"font_color\": true, \"label_color\": true, \"font\": true, \"text\": true, \"direction\": true}, \"version\": \"7.1\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [10, 2, 48, 32, \"white\", \"black\", \"FreeMono.ttf\", \"Text\", \"up\"]}, {\"id\": 39, \"type\": \"VAELoader\", \"pos\": [-250, 320], \"size\": [330, 60], \"flags\": {}, \"order\": 13, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"name\": \"VAE\", \"type\": \"VAE\", \"slot_index\": 0, \"links\": [76, 168, 207]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.48\", \"Node name for S&R\": \"VAELoader\", \"models\": [{\"name\": \"qwen_image_vae.safetensors\", \"url\": \"https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/vae/qwen_image_vae.safetensors\", 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\"https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI/resolve/main/split_files/diffusion_models/qwen_image_edit_2509_fp8_e4m3fn.safetensors\", \"directory\": \"diffusion_models\"}], \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"version\": \"7.5.1\", \"widget_ue_connectable\": {}, \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"qwen_image_edit_2509_fp8_e4m3fn.safetensors\", \"default\"]}, {\"id\": 345, \"type\": \"EmptySD3LatentImage\", \"pos\": [795.3975702806872, 2337.60505020079], \"size\": [270, 106], \"flags\": {}, \"order\": 5, \"mode\": 4, \"inputs\": [], \"outputs\": [{\"name\": \"LATENT\", \"type\": \"LATENT\", \"links\": []}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.59\", \"Node name for S&R\": \"EmptySD3LatentImage\", \"ue_properties\": {\"widget_ue_connectable\": {}, \"version\": \"7.5.1\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [1024, 1024, 1]}, {\"id\": 351, \"type\": \"MarkdownNote\", \"pos\": [775.3975702806874, 2507.60505020079], \"size\": [330, 90], \"flags\": {}, \"order\": 6, \"mode\": 4, \"inputs\": [], \"outputs\": [], \"title\": \"Note: About image size\", \"properties\": {\"ue_properties\": {\"widget_ue_connectable\": {}, \"version\": \"7.5.1\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"You can use the latent from the **EmptySD3LatentImage** to replace **VAE Encode**, so you can customize the image size.\"], \"color\": \"#432\", \"bgcolor\": \"#653\"}, {\"id\": 339, \"type\": \"ModelSamplingAuraFlow\", \"pos\": [785.3975702806874, 1347.6050502007934], \"size\": [290, 60], \"flags\": {}, \"order\": 25, \"mode\": 4, \"inputs\": [{\"name\": \"model\", \"type\": \"MODEL\", \"link\": 502}], \"outputs\": [{\"name\": \"MODEL\", \"type\": \"MODEL\", \"links\": [499]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.48\", \"Node name for S&R\": \"ModelSamplingAuraFlow\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"version\": \"7.5.1\", \"widget_ue_connectable\": {}, \"input_ue_unconnectable\": {}}}, \"widgets_values\": [3]}, {\"id\": 99, \"type\": \"MarkdownNote\", \"pos\": [-840, -140], \"size\": [550, 550], \"flags\": {}, \"order\": 7, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"title\": \"Model links\", \"properties\": {\"ue_properties\": {\"version\": \"7.5.1\", \"widget_ue_connectable\": {}, \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"[Tutorial](https://docs.comfy.org/tutorials/image/qwen/qwen-image-edit)\\n\\n\\n## Model links\\n\\nYou can find all the models on [Comfy-Org/Qwen-Image_ComfyUI](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/tree/main) and [Comfy-Org/Qwen-Image-Edit_ComfyUI](https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI) \\n\\n**Diffusion model**\\n\\n- [qwen_image_edit_2509_fp8_e4m3fn.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI/resolve/main/split_files/diffusion_models/qwen_image_edit_2509_fp8_e4m3fn.safetensors)\\n\\n**LoRA**\\n\\n- [Qwen-Image-Edit-2509-Lightning-4steps-V1.0-bf16.safetensors](https://huggingface.co/lightx2v/Qwen-Image-Lightning/resolve/main/Qwen-Image-Edit-2509/Qwen-Image-Edit-2509-Lightning-4steps-V1.0-bf16.safetensors)\\n\\n**Text encoder**\\n\\n- [qwen_2.5_vl_7b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors)\\n\\n**VAE**\\n\\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/vae/qwen_image_vae.safetensors)\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_image_edit_2509_fp8_e4m3fn.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 loras/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 Qwen-Image-Lightning-4steps-V1.0.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_image_vae.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2514\\u2500\\u2500 qwen_2.5_vl_7b_fp8_scaled.safetensors\\n```\\n\\n## Report issue\\nIf you have any problems running this workflow, please report template-related issues via this link: [report the template issue here](https://github.com/Comfy-Org/workflow_templates/issues)\"], \"color\": \"#432\", \"bgcolor\": \"#653\"}, {\"id\": 354, \"type\": \"LoraLoaderModelOnly\", \"pos\": [-224.60242971931294, 1527.6050502007934], \"size\": [330, 82], \"flags\": {}, \"order\": 21, \"mode\": 4, \"inputs\": [{\"name\": \"model\", \"type\": \"MODEL\", \"link\": 521}], \"outputs\": [{\"name\": \"MODEL\", \"type\": \"MODEL\", \"links\": [502]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.50\", \"Node name for S&R\": \"LoraLoaderModelOnly\", \"models\": [{\"name\": \"Qwen-Image-Edit-2509-Lightning-4steps-V1.0-bf16.safetensors\", \"url\": \"https://huggingface.co/lightx2v/Qwen-Image-Lightning/resolve/main/Qwen-Image-Edit-2509/Qwen-Image-Edit-2509-Lightning-4steps-V1.0-bf16.safetensors\", \"directory\": \"loras\"}], \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"widget_ue_connectable\": {\"lora_name\": true, \"strength_model\": true}, \"version\": \"7.5.1\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"Qwen-Image-Edit-2509-Lightning-4steps-V1.0-bf16.safetensors\", 1]}, {\"id\": 97, \"type\": \"MarkdownNote\", \"pos\": [740, 610], \"size\": [300, 160], \"flags\": {}, \"order\": 8, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"title\": \"Note: KSampler settings\", \"properties\": {\"ue_properties\": {\"widget_ue_connectable\": {}, \"version\": \"7.5.1\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"You can test and find the best setting by yourself. The following table is for reference.\\n| Parameters | Qwen Team | Comfy Original | with 4steps LoRA |\\n|--------|---------|------------|---------------------------|\\n| Steps | 50 | 20 | 4 |\\n| CFG | 4.0 | 2.5 | 1.0 |\"], \"color\": \"#432\", \"bgcolor\": \"#653\"}, {\"id\": 336, \"type\": \"VAEDecode\", \"pos\": [1125.3975702806863, 1347.6050502007934], \"size\": [210, 46], \"flags\": {\"collapsed\": false}, \"order\": 42, \"mode\": 4, \"inputs\": [{\"name\": \"samples\", \"type\": \"LATENT\", \"link\": 500}, {\"name\": \"vae\", \"type\": \"VAE\", \"link\": 501}], \"outputs\": [{\"name\": \"IMAGE\", \"type\": \"IMAGE\", \"slot_index\": 0, \"links\": [507]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.48\", \"Node name for S&R\": \"VAEDecode\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"version\": \"7.5.1\", \"widget_ue_connectable\": {}, \"input_ue_unconnectable\": {}}}, \"widgets_values\": []}, {\"id\": 388, \"type\": \"MarkdownNote\", \"pos\": [-600, 1250], \"size\": [310, 150], \"flags\": {}, \"order\": 9, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"title\": \"Note: Raw latent version\", \"properties\": {\"ue_properties\": {\"widget_ue_connectable\": {}, \"version\": \"7.5.1\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"Since the **TextEncodeQwenImageEditPlus** node will scale the image to 1M pixels, you might find that the output has a pixel-shifting issue.\\n\\nThe **Raw latent version** is to provide the raw latent to the sampler. 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(Qwen Image Edit 2509)", + "description": "

The BFS (Best Face Swap) LoRA series was developed for Qwen Image Edit 2509, specialized in high-fidelity face and head replacement tasks with natural tone blending and consistent lighting.

Each version builds upon the previous one:

  • 🧠 Focus Faces: precise face swaps, keeping the original head shape and hair while transferring facial identity and expression.

  • 🧩 Focus Head: stronger head swaps, replacing the full head (including hair and pose orientation).

  • The 2 versions complement each other, one is focused on face swapping and the other is focused on head swapping.

[Note] This version is fully compatible with the 2509 and 2511, but it was trained using the 2509 as a base. I am currently training a version using the 2511 as a base; I will release it soon.


If this model was helpful to you in any way, please consider helping me continue creating more model for the price of a coffee.

Workflows:
Head/Face Swap Workflow - Qwen-Image-Edit-2509 | Civitai

Face Swap Video Tests (V1):
Face Swap - Qwen Image Edit 2509 (English)

About Flux 2:

I've done my best so far, but the results aren't as good as with QWEN. The base Flux 2 model can already handle head swapping, but with some difficulties. The goal of this LoRa was to try and improve that a bit, but I haven't achieved very good results. It might be a configuration issue, so here's this beta version for you to test.

Try with CFG: 8.0

PERSONAL NOTES:

The swap quality will always depend heavily on the quality of your input images. Larger, clean images with little noise or compression artifacts generally produce the best results. Keep in mind that the model always follows the quality of the body image, since it becomes the final rendered frame—so even if the face source is high-quality, a low-resolution or noisy body image will limit the outcome.

Most of the images I generate are created without using the LightX2V lighting LoRA, since I noticed that enabling it tends to make the skin appear more plastic-like and reddish, and finding the right balance requires extra tuning that I didn’t focus on. If anyone has discovered good configurations, feel free to share them in the comments of this template.

In short, using LightX2V makes the model less versatile because it operates with a fixed CFG value of 1.0. So before assuming it “didn’t work,” I recommend first testing the workflow I published without LightX2V to compare the results.

If you’re getting results with too much contrast, overly strong colors, or plastic-like textures while using LightX2V’s lightning models, try reducing the number of inference steps. For example, if you’re using the Qwen Image Edit 2509 Lightning (8 steps) model, try running it with 4 steps instead. The excessive contrast often comes from running too many steps while CFG remains fixed at 1.0.

If you encounter similar issues without using the lighting LoRA, try lowering the steps as well—e.g., from 20 down to around 16 or fewer—and reduce CFG to values like 1.2 or 1.5, which can help produce smoother, more natural results.

Another important detail: in images where the body is positioned farther from the camera, the face region becomes smaller, which can reduce swap accuracy and overall quality. This happens because the model has less pixel information to work with in that small facial area. To handle these cases, you can use my older workflow, which automatically crops the face region from the body image and performs an inpainting-like process to improve results in distant or small-face compositions.

Finally, if you notice loss of similarity between faces or poses—especially when the reference and target images differ significantly in aesthetics or angles—try increasing the strength of your head swap LoRA slightly (for instance, to 1.2 or 1.3) to restore consistency.

⚙️ BFS — “Focus Faces”

Trained on 240 image triplets (face, body, and result),
with a LoRA rank of 16 → later increased to 32,
and gradient accumulation = 2, running for 5500 steps on an NVIDIA L40S GPU.

This version produces stable and detailed face swaps, preserving expression, lighting, and gaze direction while maintaining the body’s natural look.

🔧 Model Notes

  • You don't need to use my workflow to make this lora work, if you are having problems with it use yours, it is the simple workflow of qwen image edit + lora and the inputs in the right order: face image 1, body image 2.

  • Quantization: not guaranteed to work below FP8 (avoid GGUF Q4).

  • Face mask: optional — remove if MediaPipe or Planar Overlay cause issues.

  • Pose conditioning: use MediaPipe Face Mesh or DWPose if you need more alignment control.

  • Lightning LoRA: may produce plastic-like skin, especially when mixed with other Qwen-based LoRAs.

⚙️ Recommended Settings

Samplers:

  • er_sde + beta57 / kl_optimal / ddim_uniform (best results)

  • ddim + ddim_uniform (sometimes most realistic)

  • res_2s + beta57

Don't get attached to one setting, sometimes if it doesn't work well with one, switch to another.

Precision:

  • 🧠 Best: fp16

  • ⚙️ Recommended: gguf q8 or fp8

  • ⚠️ Below fp8: noticeable degradation

Inference Tips:

  • With Qwen Image Edit 2509 Lightining LoRA → use 4 / 8 steps for fast generation.

  • Without it → use 12–20 steps, CFG 1.0–2.5 for realism.

🧬 BFS — “Focus Head”

The “Focus Head” version was trained as a continuation of Focus Face, extending the dataset and shifting focus toward full head swaps.

It was trained on a NVIDIA RTX 6000 PRO, rank 32, for 12,000 steps, using 628 image pairs (face, body, target, and sometimes pose maps generated via MediaPipe).

🔹 Training Phases

  1. Standard Face Swap – same Focus Face, focusing on facial identity.

  2. Pose-Conditioned Face Swap – added pose maps to align gaze and head angle.

  3. Full Head Swap – replaced the entire head (including hair) for stronger identity control.

After ~2000 steps, the focus moved toward head swap refinement.
At ~4000 steps, the dataset was narrowed to perfect skin-tone matches, and by the end of training,
the dataset evolved from 628 → 138 → 76 high-quality samples for final fine-tuning.

⚠️ Note:
While Focus Face can still perform standard face swaps, it’s more naturally inclined toward full head swaps due to its data balance.
This was intentional in part, but also a side-effect of dataset distribution and mixed conditioning.

⚠️ Important Notice

Do not use or share results involving real people, celebrities, or public figures.
Civitai’s moderation may disable posts that violate likeness or consent rules.
This model is intended only for artistic and fictional characters, educational use, and AI experimentation.

I take no responsibility for any misuse of this model. Please use it responsibly and respect all likeness rights.

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit,Rent,Sell}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 3641534, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 18402, + "thumbsUpCount": 961, + "thumbsDownCount": 2, + "commentCount": 76, + "tippedAmountCount": 1210 + }, + "creator": { + "username": "NRDX", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/542bfa6c-ac89-4db4-b892-f0357b0ea6c9/width=96/NRDX.jpeg" + }, + "tags": [ + "person", + "concept", + "face", + "swap", + "face swap", + "qwen", + "head swap", + "qwen image edit", + "2509" + ], + "modelVersions": [ + { + "id": 2530858, + "index": 0, + "name": "QIE - V4 Focus Head", + "baseModel": "Qwen", + "baseModelType": "Standard", + "createdAt": "2025-12-23T22:02:26.116Z", + "publishedAt": "2025-12-24T08:37:19.132Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "description": "

This version attempts to improve the cloning of facial expressions; this copy is not yet perfect, but in this version it seems to work better than the previous one.

All examples posted were made using QIE 2511.

", + "trainedWords": [ + "h34d_sw4p: replace the head of Picture 1 by the head from Picture 2, strictly preserving the identity, facial features (eyes, nose, mouth), and skin texture of Picture 2. Ensure the new head mimics the identical expression, angle, and rotation found in Picture 1.", + "h34d_sw4p: replace the head of Picture 1 by the head from Picture 2, ensuring the new head mimics the identical expression, angle, and rotation found in Picture 1.", + "h34d_sw4p: replace the head of Picture 1 by the head from Picture 2, strictly preserving the identity and detailed anatomy of Picture 2, specifically: eye color and shape, nose structure, mouth geometry, facial contours, hair. Ensure the new head mimics the identical expression, angle, and rotation found in Picture 1. high quality, sharp details, 4k" + ], + "covered": false, + "stats": { + "downloadCount": 1218, + "thumbsUpCount": 125, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2418839, + "sizeKB": 144331, + "name": "bfs_head_swap_v4.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2025-12-24T00:05:47.263Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "59F17E5B", + "AutoV2": "CD3278C33C", + "SHA256": "CD3278C33C7DF36BB87169D0A283851D60E88ECAC48123B5C8DCC82551D6E402", + "CRC32": "3B0EF80B", + "BLAKE3": "2A61AB84A8BF890D56CE23031DDB93AAD7A3E939853181787611F7DC01D177C7", + "AutoV3": "03AFF24EE3AB" + }, + "downloadUrl": "https://civitai.com/api/download/models/2530858", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4bca35c8-96ab-4b7f-92b2-6ea7992d50bf/original=true/114987387.jpeg", + "nsfwLevel": 1, + "width": 2190, + "height": 2020, + "hash": "UIHL6u~WIprq?vxvnOIpM{s;e.i_NxtRS4o0", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/8f818ee3-fa8d-4857-853f-8b2c0b6753f5/original=true/115238335.jpeg", + "nsfwLevel": 1, + "width": 1818, + "height": 1754, + "hash": "UBHdv?.4:h-:4,=xys-60h^7vfK70M0}9FNG", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": false, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/a589b79e-fda8-4831-a378-089ea09fabf3/original=true/115047708.jpeg", + "nsfwLevel": 1, + "width": 1791, + "height": 1934, + "hash": "UJEnSF?bozR5_N-;ozRQ-po|t7WYT0S#bbW;", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/43abe890-c321-4617-b1f8-a4b8a9b06bfc/original=true/115051515.jpeg", + "nsfwLevel": 1, + "width": 3176, + "height": 2438, + "hash": "U4H1SUxy0Q}[%~0-03r^OkDP02?Yi{-7^i^%", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/5a2ed04c-d183-4774-88c0-d248bbd43637/original=true/115218149.jpeg", + "nsfwLevel": 1, + "width": 1919, + "height": 1928, + "hash": "UHL{@:V[oM8^TI9ZE2jEx^ngWBRP~W-U$*IU", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/0973c468-5bcf-402f-8ffa-8d385933feb4/original=true/114945124.jpeg", + "nsfwLevel": 1, + "width": 1911, + "height": 2044, + "hash": "URM%+bW=oz4TI9NGNGn~_ND%M{kWD%o0xukC", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/8df082ab-2af6-4c42-9027-6b4623573b97/original=true/114986591.jpeg", + "nsfwLevel": 1, + "width": 2492, + "height": 2478, + "hash": "U6B3vgrV$%_3Q,~UROogM_?b%M4o9ZyDxvIU", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6593ee32-e297-4531-843f-89a96434fefa/original=true/115049711.jpeg", + "nsfwLevel": 1, + "width": 2829, + "height": 2594, + "hash": "UUG8+b%2V@R5~WIARPaKWBD%M{ogtRxuayoz", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/43e38ef7-8a86-4fbb-a082-8091099a0276/original=true/115049751.jpeg", + "nsfwLevel": 1, + "width": 576, + "height": 1024, + "hash": "UCHw1N9tEN~B0c-Xs;s,0yt5oaNG,0ad-TIo", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b5781483-ebf7-4104-bc13-b8f0ac9d2046/original=true/115050052.jpeg", + "nsfwLevel": 1, + "width": 680, + "height": 1024, + "hash": "UiQ9vFMx?^-=DiIAtRxvbcRjRPfkbvofnijZ", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2530858" + }, + { + "id": 2372254, + "index": 1, + "name": "QIE - 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This is an optional version that works nicely. It was trained with only a rank of 4, meaning the LoRa is much shorter and works well in my tests. Feel free to test it and post your results here; this helps improve this LoRa.

One of the big differences in this version is the order of the face and body inputs; now you need to send the body first and then the face, unlike other versions. This was a test I was doing and it ended up this way, so it's very important to keep this in mind. In the latent form, if you're going to pass an image, pass the body image or an empty latent form.

The trigger should be this: \"head_swap: start with Picture 1 as the base image, keeping its lighting, environment, and background. remove the head from Picture 1 completely and replace it with the head from Picture 2. ensure the head and body have correct anatomical proportions, and blend the skin tones, shadows, and lighting naturally so the final result appears as one coherent, realistic person.\"

Note: Often the size of the head depends on the input image, so keep that in mind.

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I tried my best, the results aren't as good as with QWEN. The base flux model can already do head swapping, but with some difficulties. The goal of this LoRa was to try and improve that a bit, but I couldn't achieve a very good result. It might be some configuration issue, so here's this beta for you to test.

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2287, + "height": 1280, + "skipScannedAtReassignment": true + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "put the clothes on the left onto the person on the right" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/qwen/edit/lora/Clothes Try On (Clothing Transfer) - Qwen Edit/extra_data-vid_2196278/model_dict-mid_1940532-vid_2196278.json b/qwen/edit/lora/Clothes Try On (Clothing Transfer) - Qwen Edit/extra_data-vid_2196278/model_dict-mid_1940532-vid_2196278.json new file mode 100644 index 0000000000000000000000000000000000000000..2ea96ce6ac57c2911be05b5f3679c08dbb92f48a --- /dev/null +++ b/qwen/edit/lora/Clothes Try On (Clothing Transfer) - Qwen Edit/extra_data-vid_2196278/model_dict-mid_1940532-vid_2196278.json @@ -0,0 +1,139 @@ +{ + "id": 1940532, + "name": "Clothes Try On (Clothing Transfer) - Qwen Edit", + "description": "

Support on Patreon

A tool to create input images

Use the prompt: put the clothes on the left onto the person on the right.

Strength: 1.5

Notes:

  • This first version seems to not transfer complex patterns very well but adheres to the model's body shape very well supporting a very wide range of body types.

  • I recommend a good upscaler like SeedVR2 to finalize the output as some of the fine details will be lost.

  • Doesn't work consistently with shoes, hats or other accessories

ComfyUI Workflow is the official Qwen Edit Workflow template tuned to fp8_e4m3fn + 4steps (but i usually do 6 to 8 steps) with an extra LoadLoraModelOnly node to load the lora. If you'd like a specific LORA trained, send me a message. Commissions are open.

Trained with AI Toolkit:

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit,Rent,Sell}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": false, + "nsfwLevel": 3, + "availability": "Public", + "userId": 9759499, + "cosmetic": null, + "supportsGeneration": false, + "stats": { + "downloadCount": 6923, + "thumbsUpCount": 480, + "thumbsDownCount": 1, + "commentCount": 17, + "tippedAmountCount": 630 + }, + "creator": { + "username": "kingroka", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/a3a6d801-f8c6-44c4-b810-2bc63fbd682d/width=96/kingroka.jpeg" + }, + "tags": [ + "clothing", + "tryon" + ], + "modelVersions": [ + { + "id": 2196278, + "index": 0, + "name": "v1.0", + "baseModel": "Qwen", + "baseModelType": "Standard", + "createdAt": "2025-09-08T20:17:51.335Z", + "publishedAt": "2025-09-08T20:23:09.413Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 3, + "covered": false, + "stats": { + "downloadCount": 6923, + "thumbsUpCount": 480, + "thumbsDownCount": 1 + }, + "files": [ + { + "id": 2089342, + "sizeKB": 288228.6796875, + "name": "clothes_tryon_qwen-edit-lora.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2025-09-08T20:21:00.963Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "3D59B709", + "AutoV2": "741606197E", + "SHA256": "741606197EA6BDF24D8D1C55256DBD72D4B024F7A480CC32311A98E8C7EE528F", + "CRC32": "D0EE355D", + "BLAKE3": "3F321FA65587520C1DAC2C09529695669353DEDEA1E84C7C891704A76E89F5DB", + "AutoV3": "A23C2C50531E" + }, + "downloadUrl": "https://civitai.com/api/download/models/2196278", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/07484e03-3dc9-44c2-b486-301ee3ef6f2b/original=true/99177192.jpeg", + "nsfwLevel": 1, + "width": 2287, + "height": 1144, + "hash": "U+Kd*x~q?bt7WWt7j[fRR+t7t7ayofofj[j[", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": false, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/893865fd-0a3b-4166-a35f-3d53542d0afc/original=true/99177195.jpeg", + "nsfwLevel": 2, + "width": 2287, + "height": 1280, + "hash": "U@J8Lx~q-;oft6j[j[j[t7t7t7j[ayofoffQ", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/a05f5f94-121a-4d6c-8b19-244b1e98436d/original=true/99177193.jpeg", + "nsfwLevel": 1, + "width": 2287, + "height": 1144, + "hash": "UpKnYr~q^+ofkEods.j[bw%Mofoft7oeWVay", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": false, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fcffff66-32de-4071-b13d-004f709e9a16/original=true/99177194.jpeg", + "nsfwLevel": 2, + "width": 2287, + "height": 982, + "hash": "U|KTV:_N.8ofxGbbW;j[t7ozofj[s:f+fkbH", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2196278" + } + ] +} \ No newline at end of file diff --git a/qwen/edit/lora/Extract Texture - Qwen Image Edit 2509/extra_data-vid_2402900/110057509.jpeg b/qwen/edit/lora/Extract Texture - Qwen Image Edit 2509/extra_data-vid_2402900/110057509.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..c8fda65093b4d9875fbac25a52140101acb1a47f --- /dev/null +++ b/qwen/edit/lora/Extract Texture - Qwen Image Edit 2509/extra_data-vid_2402900/110057509.jpeg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e826a28596ce84eaf3e8926028c3ff78518250691232ced5f66de71fe6385469 +size 1745944 diff --git a/qwen/edit/lora/Extract Texture - Qwen Image Edit 2509/extra_data-vid_2402900/110057509.json b/qwen/edit/lora/Extract Texture - Qwen Image Edit 2509/extra_data-vid_2402900/110057509.json new file mode 100644 index 0000000000000000000000000000000000000000..54cb76b6c86a0a5018e4d8f22e3e3ed8f7adc7b5 --- /dev/null +++ b/qwen/edit/lora/Extract Texture - Qwen Image Edit 2509/extra_data-vid_2402900/110057509.json @@ -0,0 +1,25 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/d599effa-a0e3-4341-8f9f-502182d55b5d/original=true/110057509.jpeg", + "nsfwLevel": 1, + "width": 1844, + "height": 940, + "hash": "UJJPG80hNy}Xt5S3n+s.GGIqo1-B$%R+jaWW", + "type": "image", + "metadata": { + "hash": "UJJPG80hNy}Xt5S3n+s.GGIqo1-B$%R+jaWW", + "size": 1745944, + "width": 1844, + "height": 940, + "nsfwLevelReason": "Knights Vote" + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "Extract wood panel texture from coffee mug. Extract into a texture image." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/qwen/edit/lora/Extract Texture - Qwen Image Edit 2509/extra_data-vid_2402900/110057510.jpeg b/qwen/edit/lora/Extract Texture - Qwen Image Edit 2509/extra_data-vid_2402900/110057510.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..96abf2efd7b41c16391c31b1517cf3cb8d78ee4f --- /dev/null +++ b/qwen/edit/lora/Extract Texture - Qwen Image Edit 2509/extra_data-vid_2402900/110057510.jpeg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:228d3aad5396ca2827fb004573c7e7af147b6160407e183ba1742d31ab154651 +size 2533390 diff --git a/qwen/edit/lora/Extract Texture - Qwen Image Edit 2509/extra_data-vid_2402900/110057510.json b/qwen/edit/lora/Extract Texture - Qwen Image Edit 2509/extra_data-vid_2402900/110057510.json new file mode 100644 index 0000000000000000000000000000000000000000..539abda2b37e6fa8d824cd5b8dc2ac5817814a60 --- /dev/null +++ b/qwen/edit/lora/Extract Texture - Qwen Image Edit 2509/extra_data-vid_2402900/110057510.json @@ -0,0 +1,25 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f844048a-ab5f-461e-85f6-2d7cafa57f51/original=true/110057510.jpeg", + "nsfwLevel": 1, + "width": 1846, + "height": 932, + "hash": "UbKxYl58a}%1?w%hazM{sRV?aykCj[ayayoe", + "type": "image", + "metadata": { + "hash": "UbKxYl58a}%1?w%hazM{sRV?aykCj[ayayoe", + "size": 2533390, + "width": 1846, + "height": 932, + "nsfwLevelReason": "Knights Vote" + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "Extract birch wallpaper texture from tree trunks. Extract into a texture image." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/qwen/edit/lora/Extract Texture - Qwen Image Edit 2509/extra_data-vid_2402900/110057511.jpeg b/qwen/edit/lora/Extract Texture - Qwen Image Edit 2509/extra_data-vid_2402900/110057511.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..25e16f579dabca0bf1b5d0702fd23ea72dbdd8a5 --- /dev/null +++ b/qwen/edit/lora/Extract Texture - Qwen Image Edit 2509/extra_data-vid_2402900/110057511.jpeg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:585254762dba64636e8a4c17592c2d27a960549d5f015a5db6ecef4690ee0c50 +size 3764628 diff --git a/qwen/edit/lora/Extract Texture - Qwen Image Edit 2509/extra_data-vid_2402900/110057511.json b/qwen/edit/lora/Extract Texture - Qwen Image Edit 2509/extra_data-vid_2402900/110057511.json new file mode 100644 index 0000000000000000000000000000000000000000..76fa0bdbfecce98ec1ee2541ad38ed49237b18c1 --- /dev/null +++ b/qwen/edit/lora/Extract Texture - Qwen Image Edit 2509/extra_data-vid_2402900/110057511.json @@ -0,0 +1,25 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/503aa0ad-0676-4806-82d1-eb3ef04d70f8/original=true/110057511.jpeg", + "nsfwLevel": 1, + "width": 2096, + "height": 858, + "hash": "U8K,]EDi?vD%0001?G-o179an%t7~AxbR-s*", + "type": "image", + "metadata": { + "hash": "U8K,]EDi?vD%0001?G-o179an%t7~AxbR-s*", + "size": 3764628, + "width": 2096, + "height": 858, + "nsfwLevelReason": "Knights Vote" + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "Extract stone texture from the wall. Extract into a texture image." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/qwen/edit/lora/Extract Texture - Qwen Image Edit 2509/extra_data-vid_2402900/model_dict-mid_2124252-vid_2402900.json b/qwen/edit/lora/Extract Texture - Qwen Image Edit 2509/extra_data-vid_2402900/model_dict-mid_2124252-vid_2402900.json new file mode 100644 index 0000000000000000000000000000000000000000..1554322baecc91e42247cf04dee339f9c38efe14 --- /dev/null +++ b/qwen/edit/lora/Extract Texture - Qwen Image Edit 2509/extra_data-vid_2402900/model_dict-mid_2124252-vid_2402900.json @@ -0,0 +1,185 @@ +{ + "id": 2124252, + "name": "Extract Texture - Qwen Image Edit 2509", + "description": "

https://huggingface.co/tarn59/extract_texture_qwen_image_edit_2509

Extract a texture image from a given object. Works best if the texture is a repeated pattern. Prompt: Extract {texture description} texture from the {object descrption}. Extract into a texture image. Example: Extract the fabric texture from the carpet. Extract into a texture image. Also helps to call it a fabric or wallpaper texture.

Trigger words

You should use Extract {texture description} texture from the {object descrption}. Extract into a texture image. to trigger the image generation.

Pairs well with Apply Texture: https://civitai.com/models/2123174?modelVersionId=2401675

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit,Rent,Sell}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": false, + "nsfwLevel": 1, + "availability": "Public", + "userId": 7452212, + "cosmetic": null, + "supportsGeneration": false, + "stats": { + "downloadCount": 560, + "thumbsUpCount": 115, + "thumbsDownCount": 0, + "commentCount": 9, + "tippedAmountCount": 10 + }, + "creator": { + "username": "tarn59", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4831a3c9-e7da-461e-97f4-beaec8762abc/width=96/tarn59.jpeg" + }, + "tags": [ + "texture", + "tool", + "extract texture" + ], + "modelVersions": [ + { + "id": 2402900, + "index": 0, + "name": "v1.0", + "baseModel": "Qwen", + "baseModelType": "Standard", + "createdAt": "2025-11-13T13:57:01.338Z", + "publishedAt": "2025-11-13T14:03:39.050Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 1, + "trainedWords": [ + "Extract {texture description} texture from the {object descrption}. 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The mannequin has teeth. The mannequin does not have any hair. It has perfectly clean gray skin with a black wireframe overlaid on top, without any discolorations. The background of the image is a plain featureless white void.", + "sampler": "DPM++ 2M", + "cfgScale": 4 + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/qwen/edit/lora/Mannequins & Pose Dummies (Qwen-Image-Edit 2509)/extra_data-vid_2467252/113965462.jpeg b/qwen/edit/lora/Mannequins & Pose Dummies (Qwen-Image-Edit 2509)/extra_data-vid_2467252/113965462.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..d44eef641e9391d9d82d50cd590a3b17f58955fc --- /dev/null +++ b/qwen/edit/lora/Mannequins & Pose Dummies (Qwen-Image-Edit 2509)/extra_data-vid_2467252/113965462.jpeg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:34b02c79f402071c821085f7023df1d486aa6c2d31319042c401fe08be4edacd +size 3626219 diff --git a/qwen/edit/lora/Mannequins & Pose Dummies (Qwen-Image-Edit 2509)/extra_data-vid_2467252/113965462.json b/qwen/edit/lora/Mannequins & Pose Dummies (Qwen-Image-Edit 2509)/extra_data-vid_2467252/113965462.json new file mode 100644 index 0000000000000000000000000000000000000000..211b7b46ec4e35b4eb2b855789c37b1976816ce3 --- /dev/null +++ b/qwen/edit/lora/Mannequins & Pose Dummies (Qwen-Image-Edit 2509)/extra_data-vid_2467252/113965462.json @@ -0,0 +1,28 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7249d742-77ef-47e0-a30c-24e9c051c446/original=true/113965462.jpeg", + "nsfwLevel": 1, + "width": 1021, + "height": 1598, + "hash": "UPHLk~of~qxu00WB4nWBE1fQj[WB?bayxut7", + "type": "image", + "metadata": { + "hash": "UPHLk~of~qxu00WB4nWBE1fQj[WB?bayxut7", + "size": 3626219, + "width": 1021, + "height": 1598, + "nsfwLevelReason": "Knights Vote" + }, + "minor": false, + "poi": false, + "meta": { + "steps": 20, + "prompt": "Remove the slime that covers the monster's body.\n\nGenerate a picture of an abstract CGI mannequin in the exact same pose as the monster in the image. The mannequin has many detailed eyes. It has perfectly clean gray skin with a black wireframe overlaid on top, without any discolorations. The background of the image is a plain featureless white void.", + "sampler": "DPM++ 2M", + "cfgScale": 4 + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/qwen/edit/lora/Mannequins & Pose Dummies (Qwen-Image-Edit 2509)/extra_data-vid_2467252/model_dict-mid_2191265-vid_2467252.json b/qwen/edit/lora/Mannequins & Pose Dummies (Qwen-Image-Edit 2509)/extra_data-vid_2467252/model_dict-mid_2191265-vid_2467252.json new file mode 100644 index 0000000000000000000000000000000000000000..3e248e15170a01229459add9077a97e788fb446a --- /dev/null +++ b/qwen/edit/lora/Mannequins & Pose Dummies (Qwen-Image-Edit 2509)/extra_data-vid_2467252/model_dict-mid_2191265-vid_2467252.json @@ -0,0 +1,140 @@ +{ + "id": 2191265, + "name": "Mannequins / Pose Dummies (Qwen-Image-Edit 2509)", + "description": "

Creates pose dummy mannequins from reference images.

The intended use case is to use the resulting images as pose references for pose transfer or for LoRA training.

Sample prompt:

Generate a picture of abstract CGI mannequins in the exact same pose as the people in the image. The mannequins should have fingers, toes, and an abstract representation of facial expression. The mannequins do not have any hair. They have perfectly clean gray skin with a black wireframe overlaid on top without any discolorations. The background of the image is a plain featureless middle gray void. Do not include any objects the people in the image may or may not be interacting with.

You can get somewhat similar results out of base Qwen-Image-Edit with appropriate prompting, but it is a lot less consistent in my experience.

It seems to work okay with cfg = 1.0 and steps = 20. Higher cfg values can produce better results, but may affect how faithful the result is.
The 8-step Lightning LoRA can also be very viable and often produces cleaner results.

Notes:

  • The model seems to be quite flexible with output styles. Although it was trained exclusively on gray wireframe mannequins as output images, it is able to produce significantly more realistic results.

  • It works well with inpainting if you mask the characters. The mask doesn't need to be pixel-perfect either.

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit,Rent,Sell}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": false, + "nsfwLevel": 5, + "availability": "Public", + "userId": 3262171, + "cosmetic": null, + "supportsGeneration": false, + "stats": { + "downloadCount": 245, + "thumbsUpCount": 35, + "thumbsDownCount": 0, + "commentCount": 1, + "tippedAmountCount": 0 + }, + "creator": { + "username": "VV24", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/175a24fe-5892-4a7d-b811-68f5e145082a/width=96/VV24.jpeg" + }, + "tags": [ + "style", + "pose estimation" + ], + "modelVersions": [ + { + "id": 2467252, + "index": 0, + "name": "v1.0", + "baseModel": "Qwen", + "baseModelType": "Standard", + "createdAt": "2025-12-03T19:43:05.932Z", + "publishedAt": "2025-12-03T19:51:58.839Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 5, + "description": "

Default prompt:

Generate a picture of an abstract CGI mannequin in the exact same pose as the person in the image.\nThe mannequin should have fingers, toes, and an abstract representation of facial expression.\nThe mannequin does not have any hair. It has perfectly clean gray skin with a black wireframe overlaid on top without any discolorations.\nThe background of the image is a plain featureless middle gray photo studio.\nDo not include any objects the person in the image may or may not be interacting with.
", + "covered": false, + "stats": { + "downloadCount": 245, + "thumbsUpCount": 35, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2355845, + "sizeKB": 737409.015625, + "name": "Mannequin.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2025-12-03T19:45:47.649Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "4D4D18B5", + "AutoV2": "778FC3E440", + "SHA256": "778FC3E440C75EAC8DB3174048B6658FB2AF87217C53700141CE2948EDCA07C2", + "CRC32": "478DD52A", + "BLAKE3": "BB295FF225F2225112F22A0E7CBCCF6B177E7FDA7252E31CC7EEC67F2F5BAD7D", + "AutoV3": "8B74AB55F97C" + }, + "downloadUrl": "https://civitai.com/api/download/models/2467252", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/20f8d70e-95df-4f24-a943-bab1199da7da/original=true/112583682.jpeg", + "nsfwLevel": 4, + "width": 1864, + "height": 2560, + "hash": "UIP%O.~qxu-;00ofofV[D%V[M{WBxuj[Rjof", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/61f00076-7405-45a8-a08e-99ab2234b1f4/original=true/113961365.jpeg", + "nsfwLevel": 1, + "width": 1536, + "height": 2160, + "hash": "UDLE4okE?a%M00M|MwRk-qV?jDog%j%L%MNH", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4bcb76e1-a9c3-4255-b629-c8dcd4a59e3e/original=true/112523801.jpeg", + "nsfwLevel": 1, + "width": 1920, + "height": 1280, + "hash": "U6E{Rk00-..TH@-DxIIVWrD*WCxuyCNGWC%2", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": false, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7249d742-77ef-47e0-a30c-24e9c051c446/original=true/113965462.jpeg", + "nsfwLevel": 1, + "width": 1021, + "height": 1598, + "hash": "UPHLk~of~qxu00WB4nWBE1fQj[WB?bayxut7", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2467252" + } + ] +} \ No newline at end of file diff --git a/qwen/edit/lora/Next Scene (Qwen Image Edit Lora 2509)/extra_data-vid_2337214/107124138.jpeg b/qwen/edit/lora/Next Scene (Qwen Image Edit Lora 2509)/extra_data-vid_2337214/107124138.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..388de7ce335a189236a1733952a58dc8cbd1edf1 --- /dev/null +++ b/qwen/edit/lora/Next Scene (Qwen Image Edit Lora 2509)/extra_data-vid_2337214/107124138.jpeg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:94b56f928dffc7ad8fd4666f0ca91239f81fd5667ff073a3d80158999d208bc7 +size 908860 diff --git a/qwen/edit/lora/Next Scene (Qwen Image Edit Lora 2509)/extra_data-vid_2337214/107124138.json b/qwen/edit/lora/Next Scene (Qwen Image Edit Lora 2509)/extra_data-vid_2337214/107124138.json new file mode 100644 index 0000000000000000000000000000000000000000..3f99da66a41f8a456b5e978c410fe0e1b775ba78 --- /dev/null +++ b/qwen/edit/lora/Next Scene (Qwen Image Edit Lora 2509)/extra_data-vid_2337214/107124138.json @@ -0,0 +1,23 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b618d057-e391-49b1-a042-23a325fd6cd1/original=true/107124138.jpeg", + "nsfwLevel": 1, + "width": 713, + "height": 1292, + "hash": "U16Hu|^HMx?vHX-:S~#Q?wnNsmt7xvM{RQxG", + "type": "image", + "metadata": { + "hash": "U16Hu|^HMx?vHX-:S~#Q?wnNsmt7xvM{RQxG", + "size": 908860, + "width": 713, + "height": 1292, + "nsfwLevelReason": null + }, + "minor": false, + "poi": false, + "meta": null, + "availability": "Public", + "hasMeta": false, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/qwen/edit/lora/Next Scene (Qwen Image Edit Lora 2509)/extra_data-vid_2337214/model_dict-mid_2032579-vid_2337214.json b/qwen/edit/lora/Next Scene (Qwen Image Edit Lora 2509)/extra_data-vid_2337214/model_dict-mid_2032579-vid_2337214.json new file mode 100644 index 0000000000000000000000000000000000000000..27a3d88919cc686dec091ebffdcad1191121f84d --- /dev/null +++ b/qwen/edit/lora/Next Scene (Qwen Image Edit Lora 2509)/extra_data-vid_2337214/model_dict-mid_2032579-vid_2337214.json @@ -0,0 +1,172 @@ +{ + "id": 2032579, + "name": "Next Scene (Qwen Image Edit Lora 2509)", + "description": "


Use with workflow: https://civitai.com/models/2065461?modelVersionId=2337222

🎉 ✨ UPDATE - Version 2 Now Available! (21 Oct 2025) ✨ 🎉

🚀 New Model: next-scene_lora-v2-3000.safetensors

What's New in V2:

  • 🎯 Trained on higher quality data for significantly improved results

  • 💪 Better command responsiveness - the model follows your prompts more accurately

  • 🖼️ Fixed black bar artifacts - no more unwanted black borders on generated images

  • ⚡ Overall enhanced performance - smoother transitions and better cinematic flow

Recommended: Use V2 for all new projects.

📥 ComfyUI Workflow: https://civitai.com/models/2065461?modelVersionId=2337222

🧠 What This Model Does

This LoRA brings cinematic storytelling continuity into AI image generation workflows.

Each output frame functions as the \"Next Scene\" in an evolving visual narrative, maintaining compositional coherence while introducing organic transitions such as:

  • Camera movement: Dolly shots, push-ins, pull-backs, and tracking moves

  • Framing evolution: Wide to close-up transitions, angle shifts, reframing

  • Environmental reveals: New characters entering frame, expanded scenery, spatial progression

  • Atmospheric shifts: Lighting changes, weather evolution, time-of-day transitions

Examples of Cinematic Logic:

  • \"Next Scene: The camera pulls back from a tight close-up on the airship to a sweeping aerial view, revealing an entire fleet of vessels soaring through a fantasy landscape.\"

  • \"Next Scene: The camera tracks forward and tilts down, bringing the sun and helicopters closer into frame as a strong lens flare intensifies.\"

  • \"Next Scene: The camera pans right, removing the dragon and rider from view while revealing more of the floating mountain range in the distance.\"

    ______


next-scene-qwen-image-lora-2509 is a LoRA adapter fine-tuned on Qwen-Image-Edit (build 2509), purpose-built to generate cinematic image sequences with natural visual progression from frame to frame.

This model enables Qwen Image Edit to think like a film director—understanding camera dynamics, visual composition, and narrative continuity to create shots that flow seamlessly into one another.

🧠 What This Model Does

This LoRA brings cinematic storytelling continuity into AI image generation workflows.

Each output frame functions as the \"Next Scene\" in an evolving visual narrative, maintaining compositional coherence while introducing organic transitions such as:

  • Camera movement: Dolly shots, push-ins, pull-backs, and tracking moves

  • Framing evolution: Wide to close-up transitions, angle shifts, reframing

  • Environmental reveals: New characters entering frame, expanded scenery, spatial progression

  • Atmospheric shifts: Lighting changes, weather evolution, time-of-day transitions

Examples of Cinematic Logic:

  • \"Next Scene: The camera pulls back from a tight close-up on the airship to a sweeping aerial view, revealing an entire fleet of vessels soaring through a fantasy landscape.\"

  • \"Next Scene: The camera tracks forward and tilts down, bringing the sun and helicopters closer into frame as a strong lens flare intensifies.\"

  • \"Next Scene: The camera pans right, removing the dragon and rider from view while revealing more of the floating mountain range in the distance.\"

⚙️ Usage Instructions

Basic Setup:

  1. Load Qwen-Image-Edit 2509 as your base model

  2. Add a LoRA Loader node and select next-scene-qwen-image-lora-2509

  3. Set LoRA strength: 0.7 – 0.8 (recommended)

  4. Structure your prompts with \"Next Scene:\" prefix for optimal results

Example Prompt:

Next Scene: The camera moves slightly forward as sunlight breaks through the clouds, casting a soft glow around the character's silhouette in the mist. Realistic cinematic style, atmospheric depth.\n

Pro Tips:

  • Begin prompts with camera direction for stronger continuity

  • Specify lighting and atmospheric changes for mood consistency

  • Chain multiple generations to create sequential storyboards

  • Works particularly well with landscape and establishing shots

next-scene-qwen-image-lora-2509 is a LoRA adapter fine-tuned on Qwen-Image-Edit (build 2509), purpose-built to generate cinematic image sequences with natural visual progression from frame to frame.

This model enables Qwen Image Edit to think like a film director—understanding camera dynamics, visual composition, and narrative continuity to create shots that flow seamlessly into one another.

🧠 What This Model Does

This LoRA brings cinematic storytelling continuity into AI image generation workflows.

Each output frame functions as the \"Next Scene\" in an evolving visual narrative, maintaining compositional coherence while introducing organic transitions such as:

  • Camera movement: Dolly shots, push-ins, pull-backs, and tracking moves

  • Framing evolution: Wide to close-up transitions, angle shifts, reframing

  • Environmental reveals: New characters entering frame, expanded scenery, spatial progression

  • Atmospheric shifts: Lighting changes, weather evolution, time-of-day transitions

Examples of Cinematic Logic:

  • \"Next Scene: The camera pulls back from a tight close-up on the airship to a sweeping aerial view, revealing an entire fleet of vessels soaring through a fantasy landscape.\"

  • \"Next Scene: The camera tracks forward and tilts down, bringing the sun and helicopters closer into frame as a strong lens flare intensifies.\"

  • \"Next Scene: The camera pans right, removing the dragon and rider from view while revealing more of the floating mountain range in the distance.\"

⚙️ Usage Instructions

Basic Setup:

  1. Load Qwen-Image-Edit 2509 as your base model

  2. Add a LoRA Loader node and select next-scene-qwen-image-lora-2509

  3. Set LoRA strength: 0.7 – 0.8 (recommended)

  4. Structure your prompts with \"Next Scene:\" prefix for optimal results

Example Prompt:

Next Scene: The camera moves slightly forward as sunlight breaks through the clouds, casting a soft glow around the character's silhouette in the mist. Realistic cinematic style, atmospheric depth.\n

Pro Tips:

  • Begin prompts with camera direction for stronger continuity

  • Specify lighting and atmospheric changes for mood consistency

  • Chain multiple generations to create sequential storyboards

  • Works particularly well with landscape and establishing shots

", + "allowNoCredit": false, + "allowCommercialUse": "{Image,RentCivit,Rent,Sell}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 75156, + "cosmetic": null, + "supportsGeneration": false, + "stats": { + "downloadCount": 2977, + "thumbsUpCount": 212, + "thumbsDownCount": 0, + "commentCount": 13, + "tippedAmountCount": 0 + }, + "creator": { + "username": "Cyph3r", + "image": "https://lh3.googleusercontent.com/a/AEdFTp5Qfa9qn3Bg2AxBAUviObrttQI0QGKq9_lYJ2ApEQ=s96-c" + }, + "tags": [ + "concept" + ], + "modelVersions": [ + { + "id": 2337214, + "index": 0, + "name": "v2.0", + "baseModel": "Qwen", + "baseModelType": "Standard", + "createdAt": "2025-10-22T12:16:42.820Z", + "publishedAt": "2025-10-22T12:18:07.068Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "description": "


Use with workflow: https://civitai.com/models/2065461?modelVersionId=2337222

🎉 ✨ UPDATE - Version 2 Now Available! (21 Oct 2025) ✨ 🎉

🚀 New Model: next-scene_lora-v2-3000.safetensors

What's New in V2:

  • 🎯 Trained on higher quality data for significantly improved results

  • 💪 Better command responsiveness - the model follows your prompts more accurately

  • 🖼️ Fixed black bar artifacts - no more unwanted black borders on generated images

  • ⚡ Overall enhanced performance - smoother transitions and better cinematic flow

Recommended: Use V2 for all new projects.

📥 ComfyUI Workflow: https://civitai.com/models/2065461?modelVersionId=2337222

______


next-scene-qwen-image-lora-2509 is a LoRA adapter fine-tuned on Qwen-Image-Edit (build 2509), purpose-built to generate cinematic image sequences with natural visual progression from frame to frame.

This model enables Qwen Image Edit to think like a film director—understanding camera dynamics, visual composition, and narrative continuity to create shots that flow seamlessly into one another.

🧠 What This Model Does

This LoRA brings cinematic storytelling continuity into AI image generation workflows.

Each output frame functions as the \"Next Scene\" in an evolving visual narrative, maintaining compositional coherence while introducing organic transitions such as:

  • Camera movement: Dolly shots, push-ins, pull-backs, and tracking moves

  • Framing evolution: Wide to close-up transitions, angle shifts, reframing

  • Environmental reveals: New characters entering frame, expanded scenery, spatial progression

  • Atmospheric shifts: Lighting changes, weather evolution, time-of-day transitions

Examples of Cinematic Logic:

  • \"Next Scene: The camera pulls back from a tight close-up on the airship to a sweeping aerial view, revealing an entire fleet of vessels soaring through a fantasy landscape.\"

  • \"Next Scene: The camera tracks forward and tilts down, bringing the sun and helicopters closer into frame as a strong lens flare intensifies.\"

  • \"Next Scene: The camera pans right, removing the dragon and rider from view while revealing more of the floating mountain range in the distance.\"

⚙️ Usage Instructions

Basic Setup:

  1. Load Qwen-Image-Edit 2509 as your base model

  2. Add a LoRA Loader node and select next-scene-qwen-image-lora-2509

  3. Set LoRA strength: 0.7 – 0.8 (recommended)

  4. Structure your prompts with \"Next Scene:\" prefix for optimal results

Example Prompt:

Next Scene: The camera moves slightly forward as sunlight breaks through the clouds, casting a soft glow around the character's silhouette in the mist. Realistic cinematic style, atmospheric depth.\n

Pro Tips:

  • Begin prompts with camera direction for stronger continuity

  • Specify lighting and atmospheric changes for mood consistency

  • Chain multiple generations to create sequential storyboards

  • Works particularly well with landscape and establishing shots

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Qwen Edit/extra_data-vid_2196307/model_dict-mid_1940557-vid_2196307.json b/qwen/edit/lora/Outfit Extractor - Qwen Edit/extra_data-vid_2196307/model_dict-mid_1940557-vid_2196307.json new file mode 100644 index 0000000000000000000000000000000000000000..3e3c9ba6c2b7cb8f6451098da1b79baa15ab289f --- /dev/null +++ b/qwen/edit/lora/Outfit Extractor - Qwen Edit/extra_data-vid_2196307/model_dict-mid_1940557-vid_2196307.json @@ -0,0 +1,223 @@ +{ + "id": 1940557, + "name": "Outfit Extractor - Qwen Edit", + "description": "

Support on Patreon

Use the prompt: extract the outfit onto a white background

Notes:

  • You may have to use a high lora strength, around 1.75 - 2.

  • I'm still perfecting this lora but it hasn't failed me yet. It just loses some of the finer details. This lora is not required but transferring person to person will sometimes result in more than just the clothes transferring. The hair may also transfer for example. I built the tryon lora around the extracted outfits layed out of a white background so better results are expected with when using this lora.

  • You can also use nanobanana for this step. A prompt like \"remove the man/woman an extract place their outfit on a white background\"

ComfyUI Workflow is the official Qwen Edit Workflow template tuned to fp8_e4m3fn + 4steps (but i usually do 6 to 8 steps) with an extra LoadLoraModelOnly node to load the lora. If you'd like a specific LORA trained, send me a message. Commissions are open.

Trained with AI Toolkit:

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit,Rent,Sell}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": false, + "nsfwLevel": 1, + "availability": "Public", + "userId": 9759499, + "cosmetic": null, + "supportsGeneration": false, + "stats": { + "downloadCount": 6189, + "thumbsUpCount": 463, + "thumbsDownCount": 0, + "commentCount": 10, + "tippedAmountCount": 20 + }, + "creator": { + "username": "kingroka", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/a3a6d801-f8c6-44c4-b810-2bc63fbd682d/width=96/kingroka.jpeg" + }, + "tags": [ + "clothing" + ], + "modelVersions": [ + { + "id": 2196307, + "index": 0, + "name": "v1.0", + "baseModel": "Qwen", + "baseModelType": "Standard", + "createdAt": "2025-09-08T20:30:29.002Z", + "publishedAt": "2025-09-08T20:37:16.178Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 1, + "description": "

Use the prompt: extract the outfit onto a white background

Notes:

  • You may have to use a high lora strength, around 1.75 - 2.

  • I'm still perfecting this lora but it hasn't failed me yet. It just loses some of the finer details. This lora is not required but transferring person to person will sometimes result in more than just the clothes transferring. The hair may also transfer for example. I built the tryon lora around the extracted outfits layed out of a white background so better results are expected with when using this lora.

  • You can also use nanobanana for this step. A prompt like \"remove the man/woman an extract place their outfit on a white background\"

ComfyUI Workflow is the official Qwen Edit Workflow template tuned to fp8_e4m3fn + 4steps (but i usually do 6 to 8 steps) with an extra LoadLoraModelOnly node to load the lora. If you'd like a specific LORA trained, send me a message. Commissions are open.

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Help support development on Patreon

A tool to create input images

Use the prompt: transfer the pose in the image on the left to the person in the image on the right

Strength: 1 - 1.25

Tips For V2:

  • This version should be much better at understanding your poses.

  • Works best with front facing poses

  • Images are submitted with the left half is the pose and the right half is the model whose pose will be adjusted

  • At a minimum, remove the background of your poses ensuring a pure white background with your pose centered

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{\"title\": \"ImageDiffMask\"}}, \"137\": {\"inputs\": {\"blur_radius\": 6, \"sigma\": 1.0, \"image\": [\"122\", 0]}, \"class_type\": \"FreqSplitTiled\", \"_meta\": {\"title\": \"FreqSplitTiled\"}}}, \"workflow\": {\"id\": \"91f6bbe2-ed41-4fd6-bac7-71d5b5864ecb\", \"revision\": 0, \"last_node_id\": 139, \"last_link_id\": 283, \"nodes\": [{\"id\": 75, \"type\": \"CFGNorm\", \"pos\": [740, -20], \"size\": [290, 60], \"flags\": {}, \"order\": 20, \"mode\": 0, \"inputs\": [{\"name\": \"model\", \"type\": \"MODEL\", \"link\": 141}], \"outputs\": [{\"name\": \"patched_model\", \"type\": \"MODEL\", \"links\": [186]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.50\", \"Node name for S&R\": \"CFGNorm\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"widget_ue_connectable\": {\"strength\": true}}}, \"widgets_values\": [1]}, {\"id\": 66, \"type\": \"ModelSamplingAuraFlow\", \"pos\": [740, -130], \"size\": [290, 60], \"flags\": {}, \"order\": 18, \"mode\": 0, \"inputs\": [{\"name\": \"model\", \"type\": \"MODEL\", \"link\": 185}], \"outputs\": [{\"name\": \"MODEL\", \"type\": \"MODEL\", \"links\": [141]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.48\", \"Node name for S&R\": \"ModelSamplingAuraFlow\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"widget_ue_connectable\": {}}, \"widgets_values\": [3]}, {\"id\": 108, \"type\": \"LoadImage\", \"pos\": [352.16015625, 530], \"size\": [274.080078125, 314.0000305175781], \"flags\": {}, \"order\": 0, \"mode\": 4, \"inputs\": [], \"outputs\": [{\"name\": \"IMAGE\", \"type\": \"IMAGE\", \"links\": [217]}, {\"name\": \"MASK\", \"type\": \"MASK\", \"links\": null}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.50\", \"Node name for S&R\": \"LoadImage\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"widget_ue_connectable\": {\"image\": true, \"upload\": true}}}, \"widgets_values\": [\"pose.png\", \"image\"]}, {\"id\": 99, \"type\": \"MarkdownNote\", \"pos\": [-840, -140], \"size\": [550, 550], \"flags\": {}, \"order\": 1, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"title\": \"Model links\", \"properties\": {\"widget_ue_connectable\": {}}, \"widgets_values\": [\"[Tutorial](https://docs.comfy.org/tutorials/image/qwen/qwen-image-edit) | [\\u6559\\u7a0b](https://docs.comfy.org/zh-CN/tutorials/image/qwen/qwen-image-edit)\\n\\n\\n## Model links\\n\\nYou can find all the models on [Comfy-Org/Qwen-Image_ComfyUI](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/tree/main) and [Comfy-Org/Qwen-Image-Edit_ComfyUI](https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI) \\n\\n**Diffusion model**\\n\\n- [qwen_image_edit_2509_fp8_e4m3fn.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI/resolve/main/split_files/diffusion_models/qwen_image_edit_2509_fp8_e4m3fn.safetensors)\\n\\n**LoRA**\\n\\n- [Qwen-Image-Lightning-4steps-V1.0.safetensors](https://huggingface.co/lightx2v/Qwen-Image-Lightning/resolve/main/Qwen-Image-Lightning-4steps-V1.0.safetensors)\\n\\n**Text encoder**\\n\\n- [qwen_2.5_vl_7b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors)\\n\\n**VAE**\\n\\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/vae/qwen_image_vae.safetensors)\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_image_edit_2509_fp8_e4m3fn.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 loras/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 Qwen-Image-Lightning-4steps-V1.0.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_image_vae.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2514\\u2500\\u2500 qwen_2.5_vl_7b_fp8_scaled.safetensors\\n```\\n\"], \"color\": \"#432\", \"bgcolor\": \"#653\"}, {\"id\": 38, \"type\": \"CLIPLoader\", \"pos\": [-250, 160], \"size\": [330, 110], \"flags\": {}, \"order\": 2, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"name\": \"CLIP\", \"type\": \"CLIP\", \"slot_index\": 0, \"links\": [205]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.48\", \"Node name for S&R\": \"CLIPLoader\", \"models\": [{\"name\": \"qwen_2.5_vl_7b_fp8_scaled.safetensors\", \"url\": \"https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors\", \"directory\": \"text_encoders\"}], \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"widget_ue_connectable\": {}}, \"widgets_values\": [\"qwen_2.5_vl_7b_fp8_scaled.safetensors\", \"qwen_image\", \"default\"]}, {\"id\": 39, \"type\": \"VAELoader\", \"pos\": [-250, 320], \"size\": [330, 60], \"flags\": {}, \"order\": 3, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"name\": \"VAE\", \"type\": \"VAE\", \"slot_index\": 0, \"links\": [76, 168]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.48\", \"Node name for S&R\": \"VAELoader\", \"models\": [{\"name\": \"qwen_image_vae.safetensors\", \"url\": \"https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/vae/qwen_image_vae.safetensors\", \"directory\": \"vae\"}], \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"widget_ue_connectable\": {}}, \"widgets_values\": [\"qwen_image_vae.safetensors\"]}, {\"id\": 106, \"type\": \"LoadImage\", \"pos\": [1096.080078125, 658], \"size\": [274.080078125, 314.0000305175781], \"flags\": {}, \"order\": 4, \"mode\": 4, \"inputs\": [], \"outputs\": [{\"name\": \"IMAGE\", \"type\": \"IMAGE\", \"links\": [219]}, {\"name\": \"MASK\", \"type\": \"MASK\", \"links\": null}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.50\", \"Node name for S&R\": \"LoadImage\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"widget_ue_connectable\": {\"image\": true, \"upload\": true}}}, \"widgets_values\": [\"photo_2025-09-21_00-11-07.jpg\", \"image\"]}, {\"id\": 89, \"type\": \"LoraLoaderModelOnly\", \"pos\": [-255, 43], \"size\": [454, 82], \"flags\": {}, \"order\": 16, \"mode\": 0, \"inputs\": [{\"name\": \"model\", \"type\": \"MODEL\", \"link\": 261}], \"outputs\": [{\"name\": \"MODEL\", \"type\": \"MODEL\", \"links\": [185]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.50\", \"Node name for S&R\": \"LoraLoaderModelOnly\", \"models\": [{\"name\": \"Qwen-Image-Lightning-4steps-V1.0.safetensors\", \"url\": \"https://huggingface.co/lightx2v/Qwen-Image-Lightning/resolve/main/Qwen-Image-Lightning-4steps-V1.0.safetensors\", \"directory\": \"loras\"}], \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"widget_ue_connectable\": {\"lora_name\": true, \"strength_model\": true}}}, \"widgets_values\": [\"Qwen-Image-Lightning-4steps-V2.0.safetensors\", 1]}, {\"id\": 118, \"type\": \"Reroute\", \"pos\": [-461.343017578125, 614.6639404296875], \"size\": [75, 26], \"flags\": {}, \"order\": 12, \"mode\": 0, \"inputs\": [{\"name\": \"\", \"type\": \"*\", \"link\": 229}], \"outputs\": [{\"name\": \"\", \"type\": \"IMAGE\", \"links\": [240]}], \"properties\": {\"showOutputText\": false, \"horizontal\": false}}, {\"id\": 112, \"type\": \"EmptySD3LatentImage\", \"pos\": [738, 670], \"size\": [270, 106], \"flags\": {}, \"order\": 5, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"name\": \"LATENT\", \"type\": \"LATENT\", \"links\": []}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.59\", \"Node name for S&R\": \"EmptySD3LatentImage\"}, \"widgets_values\": [1664, 2496, 1]}, {\"id\": 97, \"type\": \"MarkdownNote\", \"pos\": [1445, 758], \"size\": [300, 160], \"flags\": {}, \"order\": 6, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"title\": \"Note: KSampler settings\", \"properties\": {}, \"widgets_values\": [\"You can test and find the best setting by yourself. The following table is for reference.\\n\\n| Model | Steps | CFG |\\n|---------------------|---------------|---------------|\\n| Offical | 50 | 4.0 \\n| fp8_e4m3fn | 20 | 2.5 |\\n| fp8_e4m3fn + 4steps LoRA | 4 | 1.0 |\\n\"], \"color\": \"#432\", \"bgcolor\": \"#653\"}, {\"id\": 125, \"type\": \"ConditioningZeroOut\", \"pos\": [404.3569641113281, 258.763916015625], \"size\": [197.66665649414062, 26], \"flags\": {}, \"order\": 28, \"mode\": 0, \"inputs\": [{\"name\": \"conditioning\", \"type\": \"CONDITIONING\", \"link\": 247}], \"outputs\": [{\"name\": \"CONDITIONING\", \"type\": \"CONDITIONING\", \"links\": [248]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.62\", \"Node name for S&R\": \"ConditioningZeroOut\"}, \"widgets_values\": []}, {\"id\": 126, \"type\": \"ReferenceLatent\", \"pos\": [462.3569641113281, 156.763916015625], \"size\": [197.66665649414062, 46], \"flags\": {}, \"order\": 29, \"mode\": 0, \"inputs\": [{\"name\": \"conditioning\", \"type\": \"CONDITIONING\", \"link\": 249}, {\"name\": \"latent\", \"shape\": 7, \"type\": \"LATENT\", \"link\": 251}], \"outputs\": [{\"name\": \"CONDITIONING\", \"type\": \"CONDITIONING\", \"links\": [250]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.62\", \"Node name for S&R\": \"ReferenceLatent\"}, \"widgets_values\": []}, {\"id\": 88, \"type\": \"VAEEncode\", \"pos\": [311, 409], \"size\": [140, 46], \"flags\": {}, \"order\": 24, \"mode\": 0, \"inputs\": [{\"name\": \"pixels\", \"type\": \"IMAGE\", \"link\": 231}, {\"name\": \"vae\", \"type\": \"VAE\", \"link\": 168}], \"outputs\": [{\"name\": \"LATENT\", \"type\": \"LATENT\", \"links\": [244, 251]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.50\", \"Node name for S&R\": \"VAEEncode\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"widget_ue_connectable\": {}}}, \"widgets_values\": []}, {\"id\": 115, \"type\": \"UnetLoaderGGUF\", \"pos\": [-210.34304809570312, -80.33607482910156], \"size\": [270, 58], \"flags\": {}, \"order\": 7, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"name\": \"MODEL\", \"type\": \"MODEL\", \"links\": [278]}], \"properties\": {\"cnr_id\": \"comfyui-gguf\", \"ver\": \"1.1.4\", \"Node name for S&R\": \"UnetLoaderGGUF\"}, \"widgets_values\": [\"Qwen-Image-Edit-2509-Q5_K_M.gguf\"]}, {\"id\": 60, \"type\": \"SaveImage\", \"pos\": [1070, -30], \"size\": [210, 282], \"flags\": {}, \"order\": 36, \"mode\": 0, \"inputs\": [{\"name\": \"images\", \"type\": \"IMAGE\", \"link\": 270}], \"outputs\": [], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.48\", \"Node name for S&R\": \"SaveImage\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"widget_ue_connectable\": {}}, \"widgets_values\": [\"Qwen_edit_%date:yyyy-MM-dd%\"]}, {\"id\": 130, \"type\": \"ImageMirrorPad\", \"pos\": [-181, 1047.5], \"size\": [270, 58], \"flags\": {}, \"order\": 21, \"mode\": 4, \"inputs\": [{\"name\": \"image\", \"type\": \"IMAGE\", \"link\": 277}], \"outputs\": [{\"name\": \"IMAGE\", \"type\": \"IMAGE\", \"links\": [264]}], \"properties\": {\"aux_id\": \"addddd2/AI_Generated_nodes\", \"ver\": \"53c41a21c2d96f7387bd9bab75b29d11759e8e6d\", \"Node name for S&R\": \"ImageMirrorPad\"}, \"widgets_values\": [16]}, {\"id\": 117, \"type\": \"ImageScaleToTotalPixelsRound8\", \"pos\": [-132.343017578125, 772.6639404296875], \"size\": [304.54998779296875, 82], \"flags\": {}, \"order\": 23, \"mode\": 4, \"inputs\": [{\"name\": \"image\", \"type\": \"IMAGE\", \"link\": 264}], \"outputs\": [{\"name\": \"IMAGE\", \"type\": \"IMAGE\", \"links\": [231, 233, 234, 265]}], \"properties\": {\"Node name for S&R\": \"ImageScaleToTotalPixelsRound8\"}, \"widgets_values\": [\"bilinear\", 1]}, {\"id\": 131, \"type\": \"Reroute\", \"pos\": [1242, -375.5], \"size\": [75, 26], \"flags\": {}, \"order\": 27, \"mode\": 0, \"inputs\": [{\"name\": \"\", \"type\": \"*\", \"link\": 265}], \"outputs\": [{\"name\": \"\", \"type\": \"IMAGE\", \"links\": [266]}], \"properties\": {\"showOutputText\": false, \"horizontal\": false}}, {\"id\": 133, \"type\": \"ImageCropBorders\", \"pos\": [1777, -304.5], \"size\": [270, 58], \"flags\": {}, \"order\": 34, \"mode\": 0, \"inputs\": [{\"name\": \"image\", \"type\": \"IMAGE\", \"link\": 268}], \"outputs\": [{\"name\": \"IMAGE\", \"type\": \"IMAGE\", \"links\": [270]}], \"properties\": {\"aux_id\": \"addddd2/AI_Generated_nodes\", \"ver\": \"53c41a21c2d96f7387bd9bab75b29d11759e8e6d\", \"Node name for S&R\": \"ImageCropBorders\"}, \"widgets_values\": [16]}, {\"id\": 132, \"type\": \"ImageStitcher\", \"pos\": [1428, -358.5], \"size\": [273, 126], \"flags\": {}, \"order\": 32, \"mode\": 0, \"inputs\": [{\"name\": \"image1\", \"type\": \"IMAGE\", \"link\": 267}, {\"name\": \"reference\", \"type\": \"IMAGE\", \"link\": 266}], \"outputs\": [{\"name\": \"stitched_image\", \"type\": \"IMAGE\", \"links\": [268]}, {\"name\": \"matches_visualization\", \"type\": \"IMAGE\", \"links\": [271]}], \"properties\": {\"aux_id\": \"addddd2/AI_Generated_nodes\", \"ver\": \"53c41a21c2d96f7387bd9bab75b29d11759e8e6d\", \"Node name for S&R\": \"ImageStitcher\"}, \"widgets_values\": [0.75, 4, true]}, {\"id\": 134, \"type\": \"PreviewImage\", \"pos\": [2135, -366.5], \"size\": [347, 487], \"flags\": {}, \"order\": 35, \"mode\": 0, \"inputs\": [{\"name\": \"images\", \"type\": \"IMAGE\", \"link\": 271}], \"outputs\": [], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.62\", \"Node name for S&R\": \"PreviewImage\"}, \"widgets_values\": []}, {\"id\": 123, \"type\": \"Reroute\", \"pos\": [1300.35693359375, 209.763916015625], \"size\": [75, 26], \"flags\": {}, \"order\": 13, \"mode\": 0, \"inputs\": [{\"name\": \"\", \"type\": \"*\", \"link\": 276}], \"outputs\": [{\"name\": \"\", \"type\": \"IMAGE\", \"links\": []}], \"properties\": {\"showOutputText\": false, \"horizontal\": false}}, {\"id\": 116, \"type\": \"Image Comparer (rgthree)\", \"pos\": [1425.656982421875, -116.33609008789062], \"size\": [590, 811], \"flags\": {}, \"order\": 33, \"mode\": 0, \"inputs\": [{\"dir\": 3, \"name\": \"image_a\", \"type\": \"IMAGE\", \"link\": 283}, {\"dir\": 3, \"name\": \"image_b\", \"type\": \"IMAGE\", \"link\": 282}], \"outputs\": [], \"properties\": {\"cnr_id\": \"rgthree-comfy\", \"ver\": \"1.0.2509092031\", \"comparer_mode\": \"Slide\"}, \"widgets_values\": [[{\"name\": \"A\", \"selected\": true, \"url\": \"/api/view?filename=rgthree.compare._temp_ygjxj_00011_.png&type=temp&subfolder=&rand=0.09397367519255673\"}, {\"name\": \"B\", \"selected\": true, \"url\": \"/api/view?filename=rgthree.compare._temp_ygjxj_00012_.png&type=temp&subfolder=&rand=0.9336914424543298\"}]]}, {\"id\": 136, \"type\": \"ImageDiffMask\", \"pos\": [2054, 287.5], \"size\": [270, 78], \"flags\": {}, \"order\": 8, \"mode\": 0, \"inputs\": [{\"name\": \"original\", \"type\": \"IMAGE\", \"link\": null}, {\"name\": \"image\", \"type\": \"IMAGE\", \"link\": null}], \"outputs\": [{\"name\": \"IMAGE\", \"type\": \"IMAGE\", \"links\": null}, {\"name\": \"MASK\", \"type\": \"MASK\", \"links\": null}], \"properties\": {\"Node name for S&R\": \"ImageDiffMask\"}, \"widgets_values\": [0.05]}, {\"id\": 111, \"type\": \"TextEncodeQwenImageEditPlus\", \"pos\": [220, -90], \"size\": [400, 200], \"flags\": {}, \"order\": 25, \"mode\": 0, \"inputs\": [{\"name\": \"clip\", \"type\": \"CLIP\", \"link\": 205}, {\"name\": \"vae\", \"shape\": 7, \"type\": \"VAE\", \"link\": null}, {\"name\": \"image1\", \"shape\": 7, \"type\": \"IMAGE\", \"link\": 233}, {\"name\": \"image2\", \"shape\": 7, \"type\": \"IMAGE\", \"link\": 219}, {\"name\": \"image3\", \"shape\": 7, \"type\": \"IMAGE\", \"link\": 217}], \"outputs\": [{\"name\": \"CONDITIONING\", \"type\": \"CONDITIONING\", \"links\": [247, 249]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.59\", \"Node name for S&R\": \"TextEncodeQwenImageEditPlus\"}, \"widgets_values\": [\"Deblur image\"], \"color\": \"#232\", \"bgcolor\": \"#353\"}, {\"id\": 119, \"type\": \"PreviewImage\", \"pos\": [234.65695190429688, 908.6639404296875], \"size\": [634, 760], \"flags\": {}, \"order\": 26, \"mode\": 0, \"inputs\": [{\"name\": \"images\", \"type\": \"IMAGE\", \"link\": 234}], \"outputs\": [], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.62\", \"Node name for S&R\": \"PreviewImage\"}, \"widgets_values\": []}, {\"id\": 113, \"type\": \"MarkdownNote\", \"pos\": [902, 1053], \"size\": [330, 90], \"flags\": {}, \"order\": 9, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"title\": \"Note: About image size\", \"properties\": {}, \"widgets_values\": [\"You can use the latent from the **EmptySD3LatentImage** to replace **VAE Encode**, so you can customize the image size.\"], \"color\": \"#432\", \"bgcolor\": \"#653\"}, {\"id\": 137, \"type\": \"FreqSplitTiled\", \"pos\": [-307.6000061035156, 501.9000244140625], \"size\": [270, 102], \"flags\": {}, \"order\": 17, \"mode\": 0, \"inputs\": [{\"name\": \"image\", \"type\": \"IMAGE\", \"link\": 274}], \"outputs\": [{\"name\": \"lowfreq\", \"type\": \"IMAGE\", \"links\": [275]}, {\"name\": \"hifreq\", \"type\": \"IMAGE\", \"links\": null}], \"properties\": {\"Node name for S&R\": \"FreqSplitTiled\"}, \"widgets_values\": [6, 1]}, {\"id\": 135, \"type\": \"Reroute\", \"pos\": [-155, 660.5], \"size\": [75, 26], \"flags\": {}, \"order\": 19, \"mode\": 0, \"inputs\": [{\"name\": \"\", \"type\": \"*\", \"link\": 275}], \"outputs\": [{\"name\": \"\", \"type\": \"IMAGE\", \"links\": [277, 280]}], \"properties\": {\"showOutputText\": false, \"horizontal\": false}}, {\"id\": 3, \"type\": \"KSampler\", \"pos\": [740, 90], \"size\": [300, 474], \"flags\": {}, \"order\": 30, \"mode\": 0, \"inputs\": [{\"name\": \"model\", \"type\": \"MODEL\", 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name for S&R\": \"LoadImage\", \"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"ue_properties\": {\"widget_ue_connectable\": {\"image\": true, \"upload\": true}}}, \"widgets_values\": [\"pose.png\", \"image\"]}, {\"id\": 99, \"type\": \"MarkdownNote\", \"pos\": [-840, -140], \"size\": [550, 550], \"flags\": {}, \"order\": 1, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"title\": \"Model links\", \"properties\": {\"widget_ue_connectable\": {}}, \"widgets_values\": [\"[Tutorial](https://docs.comfy.org/tutorials/image/qwen/qwen-image-edit) | [\\u6559\\u7a0b](https://docs.comfy.org/zh-CN/tutorials/image/qwen/qwen-image-edit)\\n\\n\\n## Model links\\n\\nYou can find all the models on [Comfy-Org/Qwen-Image_ComfyUI](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/tree/main) and [Comfy-Org/Qwen-Image-Edit_ComfyUI](https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI) \\n\\n**Diffusion model**\\n\\n- [qwen_image_edit_2509_fp8_e4m3fn.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI/resolve/main/split_files/diffusion_models/qwen_image_edit_2509_fp8_e4m3fn.safetensors)\\n\\n**LoRA**\\n\\n- [Qwen-Image-Lightning-4steps-V1.0.safetensors](https://huggingface.co/lightx2v/Qwen-Image-Lightning/resolve/main/Qwen-Image-Lightning-4steps-V1.0.safetensors)\\n\\n**Text encoder**\\n\\n- [qwen_2.5_vl_7b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors)\\n\\n**VAE**\\n\\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/vae/qwen_image_vae.safetensors)\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_image_edit_2509_fp8_e4m3fn.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 loras/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 Qwen-Image-Lightning-4steps-V1.0.safetensors\\n\\u2502 \\u251c\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502 \\u2502 \\u2514\\u2500\\u2500 qwen_image_vae.safetensors\\n\\u2502 \\u2514\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502 \\u2514\\u2500\\u2500 qwen_2.5_vl_7b_fp8_scaled.safetensors\\n```\\n\"], \"color\": \"#432\", \"bgcolor\": \"#653\"}, {\"id\": 38, \"type\": \"CLIPLoader\", \"pos\": [-250, 160], \"size\": [330, 110], \"flags\": {}, \"order\": 2, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"name\": \"CLIP\", \"type\": \"CLIP\", \"slot_index\": 0, \"links\": [205]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.48\", \"Node name for S&R\": \"CLIPLoader\", \"models\": [{\"name\": \"qwen_2.5_vl_7b_fp8_scaled.safetensors\", \"url\": 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\"offset\": [-618.5314800901574, -6.553165767365712]}, \"frontendVersion\": \"1.26.13\", \"ue_links\": [], \"links_added_by_ue\": [], \"VHS_latentpreview\": false, \"VHS_latentpreviewrate\": 0, \"VHS_MetadataImage\": true, \"VHS_KeepIntermediate\": true}, \"version\": 0.4}}", + "steps": 4, + "denoise": 1, + "sampler": "DDIM", + "cfgScale": 1, + "scheduler": "simple", + "additionalResources": [ + { + "name": "Qwen-Image-Lightning-4steps-V2.0.safetensors", + "type": "lora", + "strength": 1 + }, + { + "name": "qwen_my_Loras\\deblur3_n1e100_dim4_3e-3-000060.safetensors", + "type": "lora", + "strength": 0.9 + } + ] + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/qwen/edit/lora/QIE 2509 Deblur Lora - Qwen Image Edit Plus 2509 - aka Tile/extra_data-vid_2334960/model_dict-mid_2063458-vid_2334960.json b/qwen/edit/lora/QIE 2509 Deblur Lora - Qwen Image Edit Plus 2509 - aka Tile/extra_data-vid_2334960/model_dict-mid_2063458-vid_2334960.json new file mode 100644 index 0000000000000000000000000000000000000000..efa759146f0a4b187178d2e4c9999d8b21cabea5 --- /dev/null +++ b/qwen/edit/lora/QIE 2509 Deblur Lora - Qwen Image Edit Plus 2509 - aka Tile/extra_data-vid_2334960/model_dict-mid_2063458-vid_2334960.json @@ -0,0 +1,215 @@ +{ + "id": 2063458, + "name": "QIE 2509 Deblur Lora - Qwen Image Edit Plus 2509 - aka Tile", + "description": "

Remove blur from images. Recomended weight 0.8-1.0

Trained on blured image radius 6 sigma 1.0

Base model: qwen_image_edit_2509_bf16.safetensors

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/dev/null +++ b/qwen/edit/lora/Qwen Edit versatile photo poses/extra_data-vid_2457989/model_dict-mid_2182923-vid_2457989.json @@ -0,0 +1,240 @@ +{ + "id": 2182923, + "name": "Qwen Edit versatile photo poses", + "description": "

You can click on the link below to try it out directly. If the effect is good, you can deploy it locally

https://www.runninghub.ai/post/1995057637274345474/?inviteCode=sdhs0trb

Fan benefits,register to get 1000 points,daily login 100 points,play 4090! Experience the super power of 48G.

Bilibili: AIGC specific point

Please place Lora on the Qwen Image Edit 2509 workflow for use.

Lora, who can change special camera poses, can change various poses according to prompt words:

Prompt:

Change the posture of the movement, kneeling posture

Change the posture and make interactive gestures with the character's hands

Change the posture of the movement, stretch your arms forward, and make a V-shaped gesture with your fingers

Change the posture of the action to a top-down shooting, and extend the fist clenched hand forward

Change the action posture to a top-down shooting, wear black sunglasses, and lift both hands up

Change the action posture to a top-down shooting, kneeling posture

Change the posture of the action to a top-down shooting, with the person's face showing a one eye blink

Change the posture of the movement and lie on your side in a sitting position

Change the posture of the action to look up and extend the palm towards the camera

Change the posture of the movement, bend down posture

Change the posture and sit on the ground with legs crossed and extended

Change the posture and kneel on one knee

Change your posture and sit on a high stool, elegantly overlapping your legs

Change the posture and support the ground forward with one hand

Change the posture of the movement, stand up, and cross your arms in front of your chest

Change the posture of the action to a top-down shooting, cleverly combining hands in front of the camera

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Prompt examples recommended by the author:
将镜头向前移动（Move the camera forward.）

将镜头向左移动（Move the camera left.）

将镜头向右移动（Move the camera right.）

将镜头向下移动（Move the camera down.）

将镜头向左旋转90度（Rotate the camera 90 degrees to the left.）

将镜头向右旋转90度（Rotate the camera 90 degrees to the right.）

将镜头转为俯视（Turn the camera to a top-down view.）

将镜头转为广角镜头（Turn the camera to a wide-angle lens.）

将镜头转为特写镜头（Turn the camera to a close-up.） ... There are many possibilities; you can try them yourself. ”

Workflow: https://civitai.com/models/2099920?modelVersionId=2375859
PD: some images work better than others, mainly because of the background.


Source: https://huggingface.co/dx8152/Qwen-Edit-2509-Multiple-angles

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Filters, Effects, Backgrounds)/extra_data-vid_2414245/model_dict-mid_2134206-vid_2414245.json b/qwen/edit/lora/Qwen Edit, Visual FX Master (Lighting, Filters, Effects, Backgrounds)/extra_data-vid_2414245/model_dict-mid_2134206-vid_2414245.json new file mode 100644 index 0000000000000000000000000000000000000000..e96c9ee4a6943bd4efe57f510751d1a36f2070a3 --- /dev/null +++ b/qwen/edit/lora/Qwen Edit, Visual FX Master (Lighting, Filters, Effects, Backgrounds)/extra_data-vid_2414245/model_dict-mid_2134206-vid_2414245.json @@ -0,0 +1,199 @@ +{ + "id": 2134206, + "name": "Qwen Edit: Visual FX Master (Lighting, Filters, Effects, Backgrounds)", + "description": "

You can click on the link below to try it out directly. If the effect is good, you can deploy it locally

https://www.runninghub.ai/post/1989613830688960514/?inviteCode=sdhs0trb

Fan benefits,register to get 1000 points,daily login 100 points,play 4090!Experience the super power of 48G.

Trained using Qwen-image-Edit 2509. Please use it in combination with this base model.

There are 3 types of prompts (recommended to be used together):

  • Change the background

  • Adjust lighting and filters

  • Add special effects to the character

If a specific background is desired, you can write it after the \"change background\" prompt, for example:

\"Change the background to an apocalyptic battlefield ruin, adjust the lighting and filters, add special effects to the character.\"

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit,Rent,Sell}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": false, + "nsfwLevel": 3, + "availability": "Public", + "userId": 8974417, + "cosmetic": null, + "supportsGeneration": false, + "stats": { + "downloadCount": 80, + "thumbsUpCount": 10, + "thumbsDownCount": 0, + "commentCount": 0, + "tippedAmountCount": 0 + }, + "creator": { + "username": "AIGC_Singularity", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/1dfa103d-7ba8-4526-a45f-1aa32b91acff/width=96/AIGC_Singularity.jpeg" + }, + "tags": [ + "lighting", + "style", + "filters", + "qwen", + "backgrounds)", + "visual fx master" + ], + "modelVersions": [ + { + "id": 2414245, + "index": 0, + "name": "v1.0", + "baseModel": "Qwen", + "baseModelType": "Standard", + "createdAt": "2025-11-17T05:38:17.660Z", + "publishedAt": "2025-11-17T05:41:17.100Z", + "status": 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+ "minor": false, + "poi": false, + "hasMeta": false, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6bda6079-2fa8-40df-86ef-e50019bb9f0c/original=true/110510133.jpeg", + "nsfwLevel": 1, + "width": 1920, + "height": 1080, + "hash": "UAFy}wAC01}tyD#,0gK4}@R+IoxZ-CNaI:xZ", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": false, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/3bb2c815-25f6-4bae-a323-f5d46f4dfaad/original=true/110510137.jpeg", + "nsfwLevel": 1, + "width": 1920, + "height": 1080, + "hash": "U9A,*HXL00Q,00oi-=tRISskofV?%jXAn1Rk", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": false, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + }, + { + "url": 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You can click on the link below to try it out directly. If the effect is good, you can deploy it locally

https://www.runninghub.ai/post/1997967874390155266/?inviteCode=sdhs0trb

Fan benefits,register to get 1000 points,daily login 100 points,play 4090! Experience the super power of 48G.

One click conversion to 3D style Lora

The conversion from anime style to 3D style works best when using images of any style!

We used a large dataset for training, with a training group of over 60+and 120+images, and training steps exceeding 10000.

Trigger word: Convert to 3D style

Based on Qwen image Edit 2509 for training, Z-image Edit version will continue to be released in the future. Stay tuned!

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b/qwen/edit/lora/Qwen-Edit_Anime2Real/extra_data-vid_2396073/model_dict-mid_2110229-vid_2396073.json new file mode 100644 index 0000000000000000000000000000000000000000..e46873ba7f8fb988087459ea1c8e16f468ebd840 --- /dev/null +++ b/qwen/edit/lora/Qwen-Edit_Anime2Real/extra_data-vid_2396073/model_dict-mid_2110229-vid_2396073.json @@ -0,0 +1,447 @@ +{ + "id": 2110229, + "name": "Qwen-Edit_Anime2Real", + "description": "

Anime2Real is a Qwen-Edit Lora designed to convert anime characters into realistic styles. The current version is beta, with characters appearing somewhat greasy. The Lora strength must be set to <1.
You may click the link below to test the LoRa effect: Anime2Real

V1.0 Update: This version makes characters appear less greasy and significantly more natural. The default generation produces Western facial features; to generate Asian or other facial types, simply load an additional Realistic Series LORA.

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V1.0 Update:
This version renders characters with a less greasy appearance and significantly greater naturalism. The default output features Western facial features; to generate Asian or other ethnicities, simply load an additional Real Series LORA.

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Firstly, this is a concept that Qwen Image Edit can do already, kind of. It's pretty good at Outpainting by using the prompt Remove the white parts. You can even add a context image, but it's not great/doesn't work the best. Look at the examples for ideas of what it can help with. This was trained exclusively on photos, but seems to work for anime as well. Trained using Runpod with help from the Ostris Tutorial Here.

Suggested prompt for all uses: Remove the white parts, use the image for context.

For Uncropping/Outpainting: The intended purpose is to take a cropped image, expand the canvas size higher than the actual image and fill it with white. Use that as Image 1.

Use the image of the persons head as Image 2. I suggest an image of a head that cropped to a square. Maybe rotate it so it makes sense if it were transferred onto Image 1 directly.

If the image quality or even backgrounds are too different between the two images you may need to add additional context like hair color, location, etc, but less details is better in my experience. If you'd like a more unified quality, I had success using this with this Upscale LoRa. You could try other colors but I have not tested with/trained on anything but white.

For Inpainting: You can use photoshop or the white paint from the built in Comfyui Mask Editor, see the below example:

", + "allowNoCredit": true, + "allowCommercialUse": "{Image}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": false, + "nsfwLevel": 7, + "availability": "Public", + "userId": 6510, + "cosmetic": null, + "supportsGeneration": false, + "stats": { + "downloadCount": 2009, + "thumbsUpCount": 149, + "thumbsDownCount": 1, + "commentCount": 12, + "tippedAmountCount": 1000 + }, + "creator": { + "username": "cranpeach", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/15644d7a-d037-40c6-8432-e69c9f162e62/width=96/cranpeach.jpeg" + }, + "tags": [ + "concept", + "inpaint", + "outpaint", + "uncrop" + ], + "modelVersions": [ + { + "id": 2382934, + "index": 0, + "name": "V1", + "baseModel": "Qwen", + "baseModelType": "Standard", + "createdAt": "2025-11-06T20:18:56.036Z", + "publishedAt": "2025-11-06T20:39:37.397Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 7, + "description": "

Suggested prompt for all uses: Remove the white parts, use the image for context.

For Uncropping/Outpainting: The intended purpose is to take a cropped image, expand the canvas size higher than the actual image and fill it with white. Use that as Image 1.

Use the image of the persons head as Image 2. I suggest an image of a head that cropped to a square. Maybe rotate it so it makes sense if it were transferred onto Image 1 directly.

If the image quality or even backgrounds are too different between the two images you may need to add additional context like hair color, location, etc, but less details is better in my experience.

For Inpainting: You can use photoshop or the white paint from the built in Comfyui Mask Editor, see the description for example image.

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UPSCALER & DENOISE V3 FIXED/extra_data-vid_2377229/model_dict-mid_2046703-vid_2377229.json" "b/qwen/edit/lora/[LuisaP\342\235\244\357\270\217] QWEN-EDIT UPSCALER & DENOISE V3 FIXED/extra_data-vid_2377229/model_dict-mid_2046703-vid_2377229.json" new file mode 100644 index 0000000000000000000000000000000000000000..873b395b43816721ba3be274b9fba0cb74f4c69a --- /dev/null +++ "b/qwen/edit/lora/[LuisaP\342\235\244\357\270\217] QWEN-EDIT UPSCALER & DENOISE V3 FIXED/extra_data-vid_2377229/model_dict-mid_2046703-vid_2377229.json" @@ -0,0 +1,326 @@ +{ + "id": 2046703, + "name": "[LuisaP❤️] QWEN-EDIT UPSCALER & DENOISE V3 FIXED", + "description": "

V3: Solve the saturation problem + has more variated dataset, ill do v4 with more sharpen for images that already are bigger

Made with collaboration with @artificialguybr

this actually upscale compressed and bad looking images, but dont work on blurred image and very pixelated ones.

to upscale more than 1024x1024 as default of qwen, you need to change your workflow to upscale the image in latent before using the lora.

Prompt: upscale this image

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ATENTION: USE CFG 4

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\344\270\200\351\224\256\346\260\264\345\275\251\351\243\216\346\240\274/extra_data-vid_2321110/model_dict-mid_2050953-vid_2321110.json" "b/qwen/edit/lora/qwen edit \344\270\200\351\224\256\346\260\264\345\275\251\351\243\216\346\240\274/extra_data-vid_2321110/model_dict-mid_2050953-vid_2321110.json" new file mode 100644 index 0000000000000000000000000000000000000000..3a50b2c7ba1f181020504c66f20983a6d4ce5491 --- /dev/null +++ "b/qwen/edit/lora/qwen edit \344\270\200\351\224\256\346\260\264\345\275\251\351\243\216\346\240\274/extra_data-vid_2321110/model_dict-mid_2050953-vid_2321110.json" @@ -0,0 +1,209 @@ +{ + "id": 2050953, + "name": "qwen edit 一键水彩风格", + "description": "

一个基于qwen edit训练的水彩画风lora

在线使用建议前往RH：变成水彩风格 - RunningHub AI Apps

为了验证lora的泛化性，出例图的时候没用任何训练集素材

个人很喜欢的一种水彩画风，训练集做了19组对比图，本以为训练集量少出画风效果会不好，但在试用之后，效果意外的好。训练集只用了人像，但在使用过程中，不管是动物、水果、植物或静物，都能很好转换出来。

原图不光可以使用真实风格照片，二次元动漫图也可以很好的完成转换。

提示词就一句：变成水彩风格。

不要加入过多的描述，会造成构图的改变。

lora权重：0.6-0.8

免责声明

一、使用责任

1.您基于本模型服务生成的文本内容由您自行维护并独立判断后使用。您需在遵守适用法律法规和本服务条款的条件下使用。

2.基于本服务生成的内容产生的任何知识产权问题由您自行处理，您需对生成内容负责。我们不对由此造成的任何损失承担责任。

二、知识产权

3.除法律法规另有规定外，未经我们书面授权同意，不得将本模型服务集成在任何第三方软件或服务中。

4.亦不得以任何直接或间接、明示或暗示的方式向其他任何第三方披露生成内容与本服务的关联性。

三、商业用途限制

5.未经我们书面授权同意，非个人用户（包括但不限于企业、盈利性组织）不得将本模型用于商业用途（包括但不限于文字生成图像、图像生成图像、换脸等）。

6.如您违反本条约给我们造成的损失，我们有权向您追偿。

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Looking for new Lora ideas! https://civitai.red/articles/30069

LoRa for quick outfit transition videos with some bounce to it.

Because it is a hard transition cut from one frame to the next, face consistency could be tricky for I2V - you'll have to play with the prompt to get it right.

Typical prompt:

Woman in casual outfit. Quick bouncy jump → hard cut transition into {NEW OUTFIT HERE}. Massive exaggerated breast bounce with slow-motion jiggle on landing.

Please support my work by leaving positive reviews and posting your generations to the model page.

As always, please use responsively

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b/wan2.2/i2v/Tits Bounce Outfit Change T2V I2V Wan2.2 Video LoRa/extra_data-vid_2946518/model_dict-mid_2624390-vid_2946518.json new file mode 100644 index 0000000000000000000000000000000000000000..03056d57cdbb90772ae1f14b973bab2dbc0f2393 --- /dev/null +++ b/wan2.2/i2v/Tits Bounce Outfit Change T2V I2V Wan2.2 Video LoRa/extra_data-vid_2946518/model_dict-mid_2624390-vid_2946518.json @@ -0,0 +1,269 @@ +{ + "id": 2624390, + "name": "Tits Bounce Outfit Change T2V I2V Wan2.2 Video LoRa", + "description": "

Looking for new Lora ideas! https://civitai.red/articles/30069

LoRa for quick outfit transition videos with some bounce to it.

Because it is a hard transition cut from one frame to the next, face consistency could be tricky for I2V - you'll have to play with the prompt to get it right.

Typical prompt:

Woman in casual outfit. Quick bouncy jump → hard cut transition into {NEW OUTFIT HERE}. Massive exaggerated breast bounce with slow-motion jiggle on landing.

Please support my work by leaving positive reviews and posting your generations to the model page.

As always, please use responsively

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"availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/z-image/lora/2000s Analog Core/extra_data-vid_2456725/model_dict-mid_1134895-vid_2456725.json b/z-image/lora/2000s Analog Core/extra_data-vid_2456725/model_dict-mid_1134895-vid_2456725.json new file mode 100644 index 0000000000000000000000000000000000000000..d499feb0bdb64b57517ca7a0b0036b38e657e7b2 --- /dev/null +++ b/z-image/lora/2000s Analog Core/extra_data-vid_2456725/model_dict-mid_1134895-vid_2456725.json @@ -0,0 +1,1297 @@ +{ + "id": 1134895, + "name": "2000s Analog Core", + "description": "

Z-Image
I used at strength 0.9 with res_2s_ode + beta.
Workflow you can parse from my images

Qwen Edition:
Here everything works perfectly, timestamps, text - excellent. Images with women i generate with my new lora https://civitai.com/models/1862761?modelVersionId=2338791

V3 Update:
Enhanced Timestamps

  • Improved realism for on-screen display times and date stamps.

  1. Face Fixes

    • Reduced the repetition of identical faces across generated frames, enhancing variety.

  2. Expanded Dataset

    • Now trained on VHS, VHS-C, and Hi8 footage to broaden the analog aesthetic.

Usage & Tips

  • Low-Res VHS Look:

    • Use prompts with phrases like “amateur quality” and “low resolution” to push your render toward that classic, fuzzy VHS vibe.

    • Target ~0.5 megapixels (e.g. 704×704, 608 x 816) if you want reinforce extreme lo-fi aesthetic.

  • Higher-Res Hi8 Style:

    • To achieve the “Hi8” look (cleaner but still analog), render at ~1 megapixel (e.g. 896 x 1152 or 1024×1024).

    • You can go up to ~2 megapixels if you want more detail without losing the retro feel.

  • Recommended Trigger:

    • The only trigger word you truly need for this model is “v8s”.

    • Avoid mixing too many triggers, as that can introduce confusion and stray from the classic 2000s analog style.

      V2 Update:

  • Removed digital camera images from the dataset and added more footage from camcorders.

  • Fixed the issue where the same woman appeared in all images.

  • Tried improving the sexy overlay text on footage, but it only generates well sometimes.

Can’t say I’m fully happy with this version, but it’s not bad. Already planning a new update with more features soon! Also thinking about updating the Mavica LoRA.

This keeps your style while improving clarity and readability. Let me know if you want any tweaks
P.S: but what i really like in this lora, that it's for some reason generate almost always perfect hands

Step back into the early 2000s, where Myspace was king, profile pictures were taken with a digital potato, and everything felt just a little bit off (in the best way). This LoRA captures that lo-fi, analog aesthetic of forgotten VHS tapes and grainy digital cameras (yeah, i mix them in one LoRa). Perfect for those who miss the charm of pixelated edges and questionable lighting choices. No, it won't resurrect your old Myspace profile - sadly - but it will bring back all those nostalgic vibes.
Warning: May cause a sudden urge to listen to emo playlists

P.S.S: only v8s is needed in trigger words, everything else is optional to enhance effect
Usage as usual: dpmpp2m + beta + 40 steps + 2.5-3 guidance
I'm using with UltraReal checkpoint , but works good with default flux.dev too

P.S: sometimes can be some timestamps or other features from vhs tapes (will be fixed in next versions). I just wanted to test some techniques on this LoRa and result is pretty solid for 29 images in dataset.

Also noticed one bug, that female faces often looks similar, will fix in next release. But LoRas wit characters works good and fix this problem

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No newline at end of file diff --git a/z-image/lora/Aesthetic Amateur Photo/extra_data-vid_2503576/model_dict-mid_689192-vid_2503576.json b/z-image/lora/Aesthetic Amateur Photo/extra_data-vid_2503576/model_dict-mid_689192-vid_2503576.json new file mode 100644 index 0000000000000000000000000000000000000000..cd37d9c151aeb75f7e993a022af8cad6866fba57 --- /dev/null +++ b/z-image/lora/Aesthetic Amateur Photo/extra_data-vid_2503576/model_dict-mid_689192-vid_2503576.json @@ -0,0 +1,1298 @@ +{ + "id": 689192, + "name": "Aesthetic Amateur Photo", + "description": "

Yet another amateur photo LoRA to improve realism.

Z-Image V1:

A new version for Z-Image trained on a small dataset.

V4 Beta 2:

Trained on more images.

V4 Beta 1:

I have started to create a completely new dataset with only high quality images. For Beta 1 I used 111 images, though I plan to significantly increase it for Beta 2. All images only have the caption \"43stet1c\", but it isn't needed to mention it in your prompt.

This combination seems to produce the best and most consistent results so far.

Increase the strength if the effect isn't strong enough.

V3:

Same dataset as V2 but completely recaptioned with Claude 3.5 Sonnet and upscaled to 1024 with Gigapixel.

V2:

Trained on 124 images with no captions at all. Let me know if this works better than V1. Results can be inconsistent, use HiRes fix and Beta scheduler.

V1:

This was trained on a dataset of 61 \"aesthetic\" images captioned with Claude 3.5 Sonnet.

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More than doubled the steps compared to V1

Stronger effect

Can be used with higher strength

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Trained on more images

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Completely new dataset, captioned using only the word \"43stet1c\"

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blurred background\",\n \"style\": \"natural realistic photography with warm color temperature\",\n \"mood\": \"intimate and candid snapshot feeling\"\n }\n}", + "Version": "neo", + "sampler": "Euler", + "Module 1": "qwen_3_4b", + "Module 2": "ae", + "cfgScale": 1, + "resources": [ + { + "hash": "6e0d0ada4cb9", + "name": "aestheticphotoz4", + "type": "lora", + "weight": 0.7 + }, + { + "hash": "2407613050", + "name": "z_image_turbo_bf16", + "type": "model" + } + ], + "Model hash": "2407613050", + "Schedule type": "Beta", + "Beta schedule beta": "0.6", + "Beta schedule alpha": "0.6" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/z-image/lora/Aesthetic Amateur Photo/extra_data-vid_2512057/model_dict-mid_689192-vid_2512057.json b/z-image/lora/Aesthetic Amateur Photo/extra_data-vid_2512057/model_dict-mid_689192-vid_2512057.json new file mode 100644 index 0000000000000000000000000000000000000000..cd37d9c151aeb75f7e993a022af8cad6866fba57 --- /dev/null +++ b/z-image/lora/Aesthetic Amateur Photo/extra_data-vid_2512057/model_dict-mid_689192-vid_2512057.json @@ -0,0 +1,1298 @@ +{ + "id": 689192, + "name": "Aesthetic Amateur Photo", + "description": "

Yet another amateur photo LoRA to improve realism.

Z-Image V1:

A new version for Z-Image trained on a small dataset.

V4 Beta 2:

Trained on more images.

V4 Beta 1:

I have started to create a completely new dataset with only high quality images. For Beta 1 I used 111 images, though I plan to significantly increase it for Beta 2. All images only have the caption \"43stet1c\", but it isn't needed to mention it in your prompt.

This combination seems to produce the best and most consistent results so far.

Increase the strength if the effect isn't strong enough.

V3:

Same dataset as V2 but completely recaptioned with Claude 3.5 Sonnet and upscaled to 1024 with Gigapixel.

V2:

Trained on 124 images with no captions at all. Let me know if this works better than V1. Results can be inconsistent, use HiRes fix and Beta scheduler.

V1:

This was trained on a dataset of 61 \"aesthetic\" images captioned with Claude 3.5 Sonnet.

", + "allowNoCredit": true, + "allowCommercialUse": "{RentCivit}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": false, + "nsfwLevel": 7, + "availability": "Public", + "userId": 5097842, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 12336, + "thumbsUpCount": 656, + "thumbsDownCount": 1, + "commentCount": 13, + "tippedAmountCount": 100 + }, + "creator": { + "username": "powerpuff", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/9273f43e-ea06-47c3-a9ab-490acd856f12/width=96/powerpuff.jpeg" + }, + "tags": [ + "style", + "photorealistic" + ], + "modelVersions": [ + { + "id": 2512057, + "index": 0, + "name": "Z-Image V2", + "baseModel": "ZImageTurbo", + "baseModelType": "Standard", + "createdAt": "2025-12-17T14:35:38.562Z", + "publishedAt": "2025-12-17T14:39:14.732Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 5, + "description": "

More than doubled the steps compared to V1

Stronger effect

Can be used with higher strength

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A side profile view, highlighting her facial features.\", \"token_normalization\": \"none\", \"weight_interpretation\": \"comfy\"}}, \"10049\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"clip\": [\"10029\", 1], \"text\": \"\", \"token_normalization\": \"none\", \"weight_interpretation\": \"comfy\"}}, \"10077\": {\"class_type\": \"EmptySD3LatentImage\", \"inputs\": {\"batch_size\": 1, \"height\": 1024, \"width\": 768}}, \"11001\": {\"class_type\": \"SetSubseeds\", \"inputs\": {\"latent\": [\"10077\", 0]}}, \"11002\": {\"class_type\": \"KSampler\", \"inputs\": {\"cfg\": 1, \"denoise\": 1, \"ensd\": 31337, \"latent_image\": [\"11001\", 0], \"model\": [\"10029\", 0], \"negative\": [\"10049\", 0], \"positive\": [\"10048\", 0], \"sampler_name\": \"euler\", \"scheduler\": \"simple\", \"seed\": 2701448410, \"seed_mode\": \"A1111\", \"steps\": 10}}, \"11016\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"11002\", 0], \"vae\": [\"10030\", 0]}}, \"11019\": {\"class_type\": \"UpscaleModelLoader\", \"inputs\": {\"model_name\": \"4x-AnimeSharp.pth\"}}, \"11020\": {\"class_type\": \"ImageUpscaleWithModel\", \"inputs\": {\"image\": [\"11016\", 0], \"upscale_model\": [\"11019\", 0]}}, \"11021\": {\"class_type\": \"ImageScale\", \"inputs\": {\"crop\": \"disabled\", \"height\": 1536, \"image\": [\"11020\", 0], \"upscale_method\": \"nearest-exact\", \"width\": 1152}}, \"11022\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"11021\", 0], \"vae\": [\"10030\", 0]}}, \"11023\": {\"class_type\": \"SetSubseeds\", \"inputs\": {\"latent\": [\"11022\", 0]}}, \"11024\": {\"class_type\": \"KSampler\", \"inputs\": {\"cfg\": 1, \"denoise\": 0.1, \"ensd\": 31337, \"latent_image\": [\"11023\", 0], \"model\": [\"10029\", 0], \"negative\": [\"10049\", 0], \"positive\": [\"10048\", 0], \"sampler_name\": \"euler\", \"scheduler\": \"simple\", \"seed\": 2701448410, \"seed_mode\": \"A1111\", \"steps\": 1}}, \"11025\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"11024\", 0], \"vae\": [\"10030\", 0]}}, \"12004\": {\"class_type\": \"SetSubseeds_Image\", \"inputs\": {\"images\": [\"11025\", 0]}}, \"12005\": {\"class_type\": \"SaveImage\", \"inputs\": {\"filename_prefix\": \"941921668077510339\", \"images\": [\"12004\", 0]}}}, \"workflow\": undefined}", + "steps": 10, + "prompt": "CharacterDesignIZT. This is a Character design sheet showcasing a stylized depiction of a cheerful young girl with a playful, rendered in a vibrant, anime-inspired art style. The background is white, A color palette swatch is included in the image, showcasing the main colors of the character.\n\nShe has light brown, wavy hair adorned with a white, bear-themed hat featuring pink and blue accents, including a small bear face on top and ears on the sides. The hat also has a yellow bow and a small blue bow on the back. She is holding a plush toy, which is a round, white bear with a pink face and a small red heart on its chest, adding to the overall cute and whimsical theme. The girl wears a white, oversized hoodie with a blue and yellow striped pattern, and a matching skirt with a white and blue striped design. She has a yellow backpack with a blue bow on the front.\n\nThe character is depicted in three poses: a full-body view, a headshot, and a close-up of her face. \nmultiple facial expressions in each perspective; happy with open mouth, angry, serious.\n\nThe illustration presents three views of the character: \n1. A full-body view from the side, showing her standing with a slight tilt of her head and a epic posture.\n2. A close-up of her face from the front, showcasing her smile expression and hairstyle.\n3. A side profile view, highlighting her facial features.", + "denoise": 1, + "sampler": "Euler", + "cfgScale": 1, + "scheduler": "simple", + "upscalers": [ + "4x-AnimeSharp.pth" + ] + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/z-image/lora/Character Design Sheet (HELPER) (3-PERSPECTIVES)+(COLOR PALETTE) - Z-IMAGE TURBO & Illustrious XL & FLUX & XL PONY & SD 1.5 - by YeiyeiArt/extra_data-vid_2500612/model_dict-mid_100435-vid_2500612.json b/z-image/lora/Character Design Sheet (HELPER) (3-PERSPECTIVES)+(COLOR PALETTE) - Z-IMAGE TURBO & Illustrious XL & FLUX & XL PONY & SD 1.5 - by YeiyeiArt/extra_data-vid_2500612/model_dict-mid_100435-vid_2500612.json new file mode 100644 index 0000000000000000000000000000000000000000..2aa8e428f68de0649d70282ae84fea50185c2663 --- /dev/null +++ b/z-image/lora/Character Design Sheet (HELPER) (3-PERSPECTIVES)+(COLOR PALETTE) - Z-IMAGE TURBO & Illustrious XL & FLUX & XL PONY & SD 1.5 - by YeiyeiArt/extra_data-vid_2500612/model_dict-mid_100435-vid_2500612.json @@ -0,0 +1,1250 @@ +{ + "id": 100435, + "name": "Character Design Sheet (HELPER) (3-PERSPECTIVES)+(COLOR PALETTE) - Z-IMAGE TURBO | Illustrious XL | FLUX | XL PONY | SD 1.5 - by YeiyeiArt", + "description": "

NEW Z-IMAGE TURBO MODEL - IllustriousXL - FLUX - PONY - SD 1.5 ⬇️⬇️⬇️

JOIN My Discord Server: https://discord.gg/zmnHnkCe

--> (Read the description about its use and look at the information on the versions of each model for its best use)

Remember to see the version details to see the new notes to use the model, follow me and continue enjoying the most beautiful models in our community ;D

NEW Z-IMAGE TURBO MODEL!!

This new version is fast and extremely flexible, successfully handling anime, semi-realistic, and cartoon styles, and much more.

Useful model details:

Trigger Word: CharacterDesignIZT

Use the following structure for success (OPTIONAL) (The quotation marks are for example purposes):

\"(Trigger Word). This is a Character design sheet showcasing a stylized depiction of a (subject), rendered in a vibrant, (Art Style). The background is white, A color palette swatch is included in the image, showcasing the main colors of the character.\"
\"(All the physical characteristics of the character as well as their clothing in detail; you can include colors and more.)\"
\"The character is depicted in three poses: a full-body view, a headshot, and a close-up of her face.\" 
\"multiple facial exaggerated expressions in each perspective; happy with open mouth and one eye closed, angry, serious.\"\n\n\"The illustration presents three views of the character: \n1. A full-body view from the side, showing her standing with a slight tilt of her head and a epic posture.\n2. A close-up of her face from the front, showcasing her smile expression and hairstyle.\n3. A side profile view, highlighting her facial features.\"

FLUX

New version of the Character Design Sheet model. Now in FLUX. Personally, I think it is the version that gives the best results. Release Notes:

  • -Better understanding of Prompts

  • -Better composition of character perspectives in square resolution (1024 x1024) or similar. If you are using PONY try vertical or horizontal images (768 x 1024 / 1024 x 768)

  • -More versatility

  • -Recommended strength <0.8>

I recommend the following when using the model:

-(Only for IllustriousXL) I recommend using the following layout of prompts:

  • -ADetailer (for faces)

  • -768 X 1024 or 1216 X 832 resolutions (Vertical recommendation)

highres, hi res, best quality, masterpiece, intricate details, absurdres, 4k, semi realistic,,\"NEXT THE BASE PROMPT\"--> CharacterDesignIllustrious, reference sheet, simple white background, (color guide:1.2), (multiple views), (full body), dynamic pose \"NEXT THE CHARACTER CHARACTERISTICS\" --> blonde, bluen eyes etc.

-(Only for FLUX) I recommend using the following layout of prompts:

CharacterDesignFLUX, reference sheet, white background, simple background, multiple views, upper body, front, from side, color palette reference, high_detailed, captured in high detail, (all character characteristics), magic particles, multiple references

-(Only for FLUX) I use this Seed with very cool results: 3853963441

⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️

The best DISNEY PRINCESS COLLECTION here --> COLLECTION <---

All my STYLES here ---> STYLES <---
CHECK ALL MY MODELS here ---> ALL MY MODELS <---

⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️

ADVICE!!

If you want any COMISSION, contact me via:

Check my comissions!

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit,Rent,Sell}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": false, + "nsfwLevel": 3, + "availability": "Public", + "userId": 131137, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 84380, + "thumbsUpCount": 10233, + "thumbsDownCount": 3, + "commentCount": 34, + "tippedAmountCount": 3680 + }, + "creator": { + "username": "YeiYeiArt", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/705eab24-8252-493b-9bb6-c6c9e8e6f9ee/width=96/YeiYeiArt.jpeg" + }, + "tags": [ + "anime", + "photorealistic", + "sexy", + "female", + "design", + "style", + "art style", + "woman", + "cartoon", + "game character", + "girls", + "realistic", + "video game", + "characters", + "lora" + ], + "modelVersions": [ + { + "id": 2500612, + "index": 0, + "name": "-Z-IMAGE TURBO-", + "baseModel": "ZImageTurbo", + "baseModelType": "Standard", + "createdAt": "2025-12-13T20:50:04.966Z", + "publishedAt": "2025-12-13T21:02:28.551Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 3, + "description": "

NEW Z-IMAGE TURBO. This version is a bit faster than Flux, while maintaining the flexibility and multiple styles characteristic of previous models.

This model doesn't use tags to function; instead, it understands context, explaining your character, actions, poses, and more in detail! See the general model description for guidance.

Useful model details:

Trigger Word: CharacterDesignIZT

Use the following structure for success (OPTIONAL) (The quotation marks are for example purposes):

\"(Trigger Word). This is a Character design sheet showcasing a stylized depiction of a (subject), rendered in a vibrant, (Art Style). The background is white, A color palette swatch is included in the image, showcasing the main colors of the character.\"
\"(All the physical characteristics of the character as well as their clothing in detail; you can include colors and more.)\"
\"The character is depicted in three poses: a full-body view, a headshot, and a close-up of her face.\" 
\"multiple facial exaggerated expressions in each perspective; happy with open mouth and one eye closed, angry, serious.\"\n\n\"The illustration presents three views of the character: \n1. A full-body view from the side, showing her standing with a slight tilt of her head and a epic posture.\n2. A close-up of her face from the front, showcasing her smile expression and hairstyle.\n3. A side profile view, highlighting her facial features.\"
", + "trainedWords": [ + "CharacterDesignIZT,," + ], + "covered": true, + "stats": { + "downloadCount": 1743, + "thumbsUpCount": 284, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2388655, + "sizeKB": 166140.390625, + "name": "CharacterDesign-IZT-V1.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2025-12-13T20:55:58.664Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "8B9B3C3D", + "AutoV2": "B316B48253", + "SHA256": "B316B482539187EFFBA867514F0D9DB279279D738FBAE48BE5928A4E558B76EB", + "CRC32": "D167AD2B", + "BLAKE3": "33FD4166083E25984FF5A1E4B281D19BDB5DE41C7A74A8401498FC76695D8583", + "AutoV3": "58609FF4B609" + }, + "downloadUrl": "https://civitai.com/api/download/models/2500612", + "primary": true + } + ], + "images": [ + { + "url": 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"minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4ee7626c-fd6a-464f-8af6-8e90a4c87c87/original=true/113727992.jpeg", + "nsfwLevel": 1, + "width": 1152, + "height": 1536, + "hash": "UFM%+acY.8^+?HkWRjs;~q-VNGEfHsIU%2x]", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4d247fcf-aaf6-4c17-a063-8e69d2bcddde/original=true/113728165.jpeg", + "nsfwLevel": 1, + "width": 1152, + "height": 1536, + "hash": "USO3h6?Hx]xuROoIRjt7?wX9jZs,W?-;j?Mx", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": 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"minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/903cac72-8e1b-40d6-a077-5a54356484de/original=true/113728230.jpeg", + "nsfwLevel": 1, + "width": 1152, + "height": 1536, + "hash": "ULM%cwTI-;$l+hIUt7%M~q-pW.E1-C-;IURP", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/66ef18ab-d301-4072-8531-4c20abd56e22/original=true/113728250.mp4", + "nsfwLevel": 1, + "width": 1176, + "height": 1764, + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "type": "video", + "minor": false, + "poi": false, + "hasMeta": false, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2500612" + }, + { + "id": 1096293, + "index": 1, + "name": "-Illustrious XL-", + "baseModel": "Illustrious", + "baseModelType": "Standard", + "createdAt": "2024-11-24T20:49:37.127Z", + "publishedAt": "2024-11-24T20:54:53.891Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 3, + "description": "

New version of the Character Design Sheet model. Now in Illustrious XL. This version is extremely compatible with LoRa style models, perfect for mixing and creating characters with different visual styles. Notes:

  • -Better understanding of Prompts

  • -Better results in vertical format (just like the pony version), settings i use (768x 1024).

  • -More versatility and anime outputs

I recommend the following when using the model:

  • -ADetailer (for faces)

  • -Recommended strength <0.8>(to be more compatible with styles)

  • -You can add the color prompts separately so that the model takes them into account, for example (Blue, green, red, etc.)

I recommend using the following layout of prompts before character characteristics:

highres, hi res, best quality, masterpiece, intricate details, absurdres, 4k, semi realistic,, CharacterDesignIllustrious, reference sheet, simple white background, (color guide:1.2), (multiple views), (full body), dynamic pose

You can copy the prompt from the reference images.

Have fun! I really loved the results.

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New version of the Character Design Sheet model. Now in FLUX. Personally, I think it is the version that gives the best results. Release Notes:

  • -Better understanding of Prompts

  • -Better composition of character perspectives in square resolution (1024 x1024) or similar.

  • -More versatility

I recommend the following when using the model:

  • -ADetailer (for faces)

  • -Recommended strength <0.8>

  • -1:1 resolutions (square) - (1024 x 1024 or more)

  • -You can add the color prompts separately so that the model takes them into account, for example (Blue, green, red, etc.)

I recommend using the following layout of prompts: 

\"CharacterDesignFLUX,reference sheet,white background,simple background,multiple views, upper body, front, from side, color palette reference, high_detailed, captured in high detail, (all character characteristics), magic particles, multiple references.\"

You can copy the prompt from the reference images.

Have fun! I really loved the results. (I tested on Dev. fp8)

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New better version of the Original Model to XL PONY. Now with better resolution and results! ENJOY
Dont forget to use the Trigger Words.

Recommended resolutions:

768 - 1024
1024 - 768
1024 - 1024

  • try with white background or black background.

  • Best anime results

  • Higher resolution and quality in images

  • Use Adetailer (for faces) for best results

  • Using \"Score_9_up, score_8_up, score_7_up\" best results

  • This version in particular has very good vertical results

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Standard", + "baseModel": "SD 1.5", + "baseModelType": "Standard", + "createdAt": "2023-06-30T19:47:24.023Z", + "publishedAt": "2023-06-30T20:00:03.298Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 3, + "description": "

Classic Version of the Character Design Sheet model.

Personally, I think it is the version that give very good results with few things.

Notes:

  • -Compatible with multiple LoRas

  • -Recommended resolution (512 x 512/ 768) + Hire Fix

  • - Recommended Adetailer extension (for faces)

  • -Good for vertical or square formats

  • - Light and versatile version

  • - Use Trigger words for best results!

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This is a NSFW POV lora model for the ZImageTurbo. It’s trained on 2 concepts so you must be specific about what you want or the 2 concepts will merge. 2 example prompts can be found below.

Trigger - rcowg

Example prompts....

rcowg This photograph captures a intimate, explicit scene featuring a cute young woman and a man. The woman has a perfect vagina breasts nipples and is completely nude, revealing a shaved pubic area. Her expression is neutral, with a slight frown or concentration, looking directly at the camera. She is straddling a man, whose lower body is visible, including his erect penis entering her vagina. They have perfect anatomy. The man's lower body is muscular and his hands are holding her hips, guiding her movements.

Second Prompt...

rcowg This photograph depicts a sexual scene between a woman and a man. The woman who has long, straight hair and is positioned on top of the man, facing the camera. Woman is looking back at viewer. She is completely nude, revealing her toned back and buttocks. Her breasts are not visible in this angle. The man, whose face is not visible, is lying on his back with his legs spread, and his erect penis is visible as it penetrates the woman. The man and woman have perfect anatomy.

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a/z-image/lora/Cowgirl Front & Reverse POV ZIT NSFW Concept Lora/rcowg-mid_2234536-vid_2515481.csv b/z-image/lora/Cowgirl Front & Reverse POV ZIT NSFW Concept Lora/rcowg-mid_2234536-vid_2515481.csv new file mode 100644 index 0000000000000000000000000000000000000000..600f0d12ca11af66ed34907f24b72d19105f9347 --- /dev/null +++ b/z-image/lora/Cowgirl Front & Reverse POV ZIT NSFW Concept Lora/rcowg-mid_2234536-vid_2515481.csv @@ -0,0 +1,7 @@ +hash_name, hash_id +AutoV1, 58B60B09 +AutoV2, 669704A727 +SHA256, 669704A7272691CC2B2EB8662C359D95E503E45E760F7C551378709B0DFDFB02 +CRC32, 063726DC +BLAKE3, 7264505D9CBE9CEC6CBE77713699CFAEAA4B8968107525ACB5F10649838AACE5 +AutoV3, BECD6B434CA6 \ No newline at end of file diff --git a/z-image/lora/Cowgirl Front & Reverse POV ZIT NSFW Concept Lora/rcowg-mid_2234536-vid_2515481.safetensors b/z-image/lora/Cowgirl Front & Reverse POV ZIT NSFW Concept Lora/rcowg-mid_2234536-vid_2515481.safetensors new file mode 100644 index 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This is a NSFW lora model for the ZImageTurbo. To get the example images I used a lower strength and used heunpp2 normal. An example prompt can be found below.

Trigger - dgz

Example prompt....

dgz The image is a high-resolution photograph capturing an intimate scene between a man and a woman. pov. The woman is positioned on her hands and knees. Her facial expression appears to be a mix of surprise or pleasure. The man is positioned behind her, penetrating her from behind. His hands are gripping her hips, and his erect penis is visible entering her. His body, including his arms and hands, is partially visible, indicating he is muscular. The overall atmosphere is intimate and explicit, focusing on the physical interaction between the two individuals. The image is explicit and intended for adult audiences.

", + "allowNoCredit": true, + "allowCommercialUse": "{RentCivit,Rent}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 9572350, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 1022, + "thumbsUpCount": 84, + "thumbsDownCount": 0, + "commentCount": 0, + "tippedAmountCount": 0 + }, + "creator": { + "username": "DareDevilry", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/0e5a0678-9cd0-4056-b155-b450a18465cf/width=96/DareDevilry.jpeg" + }, + "tags": [ + "concept", + "doggystyle", + "sex", + "nsfw", + "first person perspective", + "zit", + "zimageturbo", + "zit nsfw", + "zit concept lora", + "zit concept", + "zimage lora" + ], + "modelVersions": [ + { + "id": 2490912, + "index": 0, + "name": "v1.0", + "baseModel": "ZImageTurbo", + "baseModelType": "Standard", + "createdAt": "2025-12-10T19:10:25.492Z", + "publishedAt": "2025-12-10T19:30:23.663Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "trainedWords": [ + "dgz" + ], + "covered": true, + "stats": { + "downloadCount": 1022, + "thumbsUpCount": 84, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2378956, + "sizeKB": 166140.8671875, + "name": "dgz.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2025-12-10T19:20:42.570Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "8F4DC069", + "AutoV2": "1E6006DEB5", + "SHA256": "1E6006DEB5BF179A389F27C328D7102DB4831DB75DD1D491D37AED3437FBACAE", + "CRC32": "4E8A6CDA", + "BLAKE3": "D01994EFA18B3897057C880C8CF6E88E1C3F07D5D7C732559A01A3F83EFA1194", + "AutoV3": "08A3E9C58A73" + }, + "downloadUrl": "https://civitai.com/api/download/models/2490912", + "primary": true + } + ], + 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I trained this one for personal use but it turned out fairly good so I figured I would share.

I focused on realistic penises (both small and large) instead of the cartoon monsters you usually see around here.

The training images do no not have faces, as to not influence appearance so if you want heads on your pictures, specify facial expresion or features.

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Recommended Triggers: She is bottomless, wearing no panties, revealing her perfect smooth innie pussy.

I noticed that z-image is bad at pussies. In my opinion one of the most hassle free ways to deal with this is to tuck it away. That's where innie pussy comes in. A simple, clean, vertical slit for your viewing pleasure (and consistency). - Heh heh. Yeah I did reuse the same line from my qwen LoRA.

With what I learned from the last round of training I think I have a better understanding now. I can't promise complex angles will work, but standing shots should work just fine.

Happy genning guys (and gals).

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--Flux2
I use it with res2m+beta57, guidance 4, and it works very well. The quality is similar to my Qwen Lenovo, but I noticed that Flux2 is more flexible and has better prompt adherence.
Recommend to use with strength 0.85-0.9

-- Z-image Turbo
Actually i'm not sure that my workflow is correct, i believe the result could be better
Recommend to use with strength 0.80-0.9
I used euler + sgm_uniform with 4 guidance
P.S: at this moment for ComfyUI u need this pack to load lora properly https://github.com/PGCRT/CRT-Nodes

--Chroma
My first try to train lora that enhance realism in Chroma.
I'll upload my workflow today a lil bit later (or atm u can just take it from images) cause there some nuances about settings. But from my observations i noticed that for fast gen dpmpp2m + beta with cfg 3 works good . More experimental settigns are res_2s_rkmk2e + beta57 and cfg 3, more accurate gens, better limbs and fingers, but gives a bit weird grain on very small details + plus this method is pretty long

--Qwen
Works perfectly and much better then other versions. Gives extremely \"live\" images with amateurish quality with dramatic light and shadows, some blur and with vibe of 2000s street photography
You can take workflow here https://huggingface.co/Danrisi/Lenovo_Qwen/resolve/main/Qwen_danrisi.json
Thanx to fox23vang226. i understood that it's possible (and even have better effect) to use lora with values 1.5 - 2.0.
P.S.: almost all example images generate with both loras (NiceGirls)

--Wan
This is the first release — mainly a test to explore Wan's capabilities.
Note: In this initial version, facial details are somewhat lacking. For better results, I recommend using it alongside the Instagirls LoRA by my friend, which significantly enhances facial features.

--Flux
Who needs a fancy name when the shadows and highlights do all the talking? This experimental LoRA is the scrappy cousin of my Samsung one—same punchy light-and-shadow mojo, but trained on a chaotic mix of pics from my ancient phones (so no Samsung for now)

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A LORA for fixing the \"actor face\" that plagues Z Image Turbo. Produces rounder more realistic faces, much better representation of larger body types, and more natural posing. Women appear more natural. No trigger words needed. Adjust the weight to your liking.

Support on Patreon

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Improved image composition and skin texture. Women are more realistic overall. Actor face has been eliminated while not seemingly corrupting the entire model as a result.

Keep in mind:

  • No trigger word needed

  • Posing is a little weird. Models tend to look back over their shoulder. Will adjust dataset and retrain for a 2.1 version to improve this but wanted to get this version out early.

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-- Z-Image (Asian Edition)
I'm experimenting with a completely different training method here. While it's still a work in progress, feel free to give it a try.

Regarding the examples: I used 40 steps to test the limits, but you can definitely achieve good results with fewer steps like 20 for example

-- Chroma
Use with weight around 0.6-0.8. Works great along with lenovo lora


-- Z-Image
Unfortunately at this moment only european girls, but this was just test, so wait for new versions. Highly recommend to use with my workflow https://civitai.com/models/2190193?modelVersionId=2466066

-- Qwen
Alternative version gives more clean result with less noise, blur, grain. I recommend when blend with other loras to set weight around 0.6

Just a beauty girls for qwen. Use it along with my Lenovo lora for Qwen
You can take workflow here: https://huggingface.co/Danrisi/Lenovo_Qwen/resolve/main/Qwen_danrisi.json

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more clean result

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Z-Image Turbo Info:

Sampler Settings:
Use Beta Scheduler for best results, I've also been using Euler for the Sampler with good results.

PROMPTING:
Based on my tests with Z-Image, please use the word \"vagina\" instead of \"pussy\" to show a vagina.

There will be some oddities with some anatomy as I continue learning about training this model, so any feedback would be great!

Flux Dev Info:
This model excels at nude female anatomy. Its not perfect in this first version, so several generations might be needed for certain things. Some things to note, this REALLY wants to make nude women, so if you're trying to add clothes, I suggest lowering the strength a bit to lower the models tendency to make nude women. Second, I think there weren't enough asian women in the training data, so it struggles to make asian women. It will do it, but in the second version I will add more asians.

SD 1.5 Info:
This is a model to give your subjects an oiled/wet skin look. This is meant for photo real images, but I'm sure it will work on anime as well. No keyword is needed, you can just keep the weight at 1, or lower it if needed. It's very easy to use. The only thing I will suggest is to use Watermark as part of your negative prompt. The images I used had some watermarks, but I will release a v2 soon with these watermarks removed. This model is also fairly nsfw, so if you don't want nude images, you will likely have to negative prompt for your liking.

Share your images! I'd love to see what you make!

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Here's the Z-Image Turbo Version of my OiledSkin Lora! A few notes VERY IMPORTANT

Sampler Settings:
Use Beta Scheduler for best results, I've also been using Euler for the Sampler with good results.

PROMPTING:
Based on my tests with Z-Image, please use the word \"vagina\" instead of \"pussy\" to show a vagina.

There will be some oddities with some anatomy as I continue learning about training this model, so any feedback would be great!

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Zimage Turbo version:
Does your dick look like a giant finger? Does it look like it's been through a meat grinder? Then see a doctor? But if your gens look the same try this LoRA out!
This is probably best for inpainting. I think, because of how long I had to train it the LoRA on it's own starts to do odd things to the textures of the gen. It still works sometimes, but will definitely need some tweaking to make it more reliable. I've been using 0.90-0.95 strength. Here is an example workflow for ZiT inpainting, you just need to add a lora node: workflow by Altruistic_Tax1317507

Original Description:

Got an awesome lora that you really like using but the dick keeps coming out pretty wonky? Well, thanks a lot flux, but have no fear! Adding a little of this lora can greatly improve that warped dong you've been wincing at!

Or you can use it on its own to let that college study group know just how much you like their low cut shirts!

If using it on it's own, depending on the prompt, you may need anywhere between 0.5 and 0.9

If using it as an enhancer, 0.35 worked for me a lot of the time, but also had to up it to the 0.65 area a few times.

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a/z-image/lora/Penis Awe/extra_data-vid_2465814/model_dict-mid_2189974-vid_2465814.json b/z-image/lora/Penis Awe/extra_data-vid_2465814/model_dict-mid_2189974-vid_2465814.json new file mode 100644 index 0000000000000000000000000000000000000000..404c6b150a5802e758964f06a3e26fee6a851612 --- /dev/null +++ b/z-image/lora/Penis Awe/extra_data-vid_2465814/model_dict-mid_2189974-vid_2465814.json @@ -0,0 +1,169 @@ +{ + "id": 2189974, + "name": "Penis Awe", + "description": "

Another Z Image Turbo lora. Trained on completely new subject with a distilled model has degrading effects. Should do ok until the base model is released.

Dataset based on completely anon, generated images.

Would be good initial lora for my wan2.2 lora here: https://civitai.com/models/1844313?modelVersionId=2087124

Example prompts can be seen on the images.

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit,Rent,Sell}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 2231604, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 1294, + "thumbsUpCount": 169, + "thumbsDownCount": 1, + "commentCount": 2, + "tippedAmountCount": 19080 + }, + "creator": { + "username": "Sweet_Pixeline", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/72901529-dc45-4e04-9afc-a439881559db/width=96/Sweet_Pixeline.jpeg" + }, + "tags": [ + "concept" + ], + "modelVersions": [ + { + "id": 2465814, + "index": 0, + "name": "v1.0", + "baseModel": "ZImageTurbo", + "baseModelType": "Standard", + "createdAt": "2025-12-03T10:44:12.874Z", + "publishedAt": "2025-12-10T10:49:04.359Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "trainedWords": [ + "photo of penis awe" + ], + "covered": true, + "stats": { + "downloadCount": 1294, + "thumbsUpCount": 169, + "thumbsDownCount": 1 + }, + "files": [ + { + "id": 2354421, + "sizeKB": 170003.0546875, + "name": "penis_awe_zimage.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2025-12-03T10:50:51.438Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "892852D4", + "AutoV2": "7B238076F6", + "SHA256": "7B238076F630087190671DEECBC2AC522DBF2F237B1C68FBDB5054F53F567039", + "CRC32": "A57A7C72", + "BLAKE3": "BF9337F44290D4A3C5F298ADBF275FC87396F99F82D8F6C8BE3F660D23CF6C08", + "AutoV3": "5AFF6C809620" + }, + "downloadUrl": "https://civitai.com/api/download/models/2465814", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/310c76aa-cf8c-469d-9c27-58bab6acce33/original=true/112477220.jpeg", + "nsfwLevel": 16, + "width": 1024, + "height": 1024, + "hash": "UEI|]:_4kX_2_M%M9u.79Y8_i^IUInMxi^M_", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/02ecbccf-e70c-4d3b-b530-b704137907a8/original=true/112477222.jpeg", + "nsfwLevel": 16, + "width": 1024, + "height": 1024, + "hash": "UTHd?L~CM|%MTKofayxu%LR+t7kCE2RjWBR*", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/9e909c6b-0102-41ad-b025-de0fa97ce997/original=true/112477221.jpeg", + "nsfwLevel": 16, + "width": 1024, + "height": 1024, + "hash": "UJJZYzE20e~B9[xaoexa0fR+R*9aD*%1xaso", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/583309b1-56d8-407b-8c59-a6db9d356d04/original=true/112477225.jpeg", + "nsfwLevel": 16, + "width": 1024, + "height": 1024, + "hash": "UDK]r=0101}@0L=|R%?G01S1R*kp~VIo565Q", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/63871a4d-9acb-4fef-990f-7109051a9965/original=true/112477219.jpeg", + "nsfwLevel": 16, + "width": 1024, + "height": 1024, + "hash": "UBIN?l4nHDNH00V?D%kXM]?cxb%1b{o#$zxC", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/07eeb0ae-98d2-49a6-b726-0c66b8811d0f/original=true/112477227.jpeg", + "nsfwLevel": 16, + "width": 1024, + "height": 1024, + "hash": "UHM?YoiI?bD%?^%gV?NG?vb^aK-p-:WBV@bI", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2465814" + } + ] +} \ No newline at end of file diff --git a/z-image/lora/Penis Awe/penis_awe_zimage-mid_2189974-vid_2465814.csv b/z-image/lora/Penis Awe/penis_awe_zimage-mid_2189974-vid_2465814.csv new file mode 100644 index 0000000000000000000000000000000000000000..ddd4c7caf39f05e5031474bf308f5b794417dc9e --- /dev/null +++ b/z-image/lora/Penis Awe/penis_awe_zimage-mid_2189974-vid_2465814.csv @@ -0,0 +1,7 @@ +hash_name, hash_id +AutoV1, 892852D4 +AutoV2, 7B238076F6 +SHA256, 7B238076F630087190671DEECBC2AC522DBF2F237B1C68FBDB5054F53F567039 +CRC32, A57A7C72 +BLAKE3, BF9337F44290D4A3C5F298ADBF275FC87396F99F82D8F6C8BE3F660D23CF6C08 +AutoV3, 5AFF6C809620 \ No newline at end of file diff --git a/z-image/lora/Penis Awe/penis_awe_zimage-mid_2189974-vid_2465814.safetensors b/z-image/lora/Penis Awe/penis_awe_zimage-mid_2189974-vid_2465814.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..b544ed6af985081fd97f064ed0730badffc16de6 --- /dev/null +++ b/z-image/lora/Penis Awe/penis_awe_zimage-mid_2189974-vid_2465814.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7b238076f630087190671deecbc2ac522dbf2f237b1c68fbdb5054f53f567039 +size 174083128 diff --git a/z-image/lora/Penis, Hung Twinks ZIT/Hung_Twinks v3 -mid_2220721-vid_2500084.csv b/z-image/lora/Penis, Hung Twinks ZIT/Hung_Twinks v3 -mid_2220721-vid_2500084.csv new file mode 100644 index 0000000000000000000000000000000000000000..b401836b54fe516b6e0c2531989b0b236f01dd38 --- /dev/null +++ b/z-image/lora/Penis, Hung Twinks ZIT/Hung_Twinks v3 -mid_2220721-vid_2500084.csv @@ -0,0 +1,7 @@ +hash_name, hash_id +AutoV1, C07841B8 +AutoV2, 88F6739F51 +SHA256, 88F6739F515CA66C5E7E437C6C27C9398F99F7F7A11A14CE8E92D6212591A8A9 +CRC32, E40BF2AD +BLAKE3, 8872AB7E506E7CCE8F81097F2A4283668EB6C3E9D5A0010CC6055E2B9A2BA535 +AutoV3, 46B3F6653861 \ No newline at end of file diff --git a/z-image/lora/Penis, Hung Twinks ZIT/Hung_Twinks v3 -mid_2220721-vid_2500084.safetensors b/z-image/lora/Penis, Hung Twinks ZIT/Hung_Twinks v3 -mid_2220721-vid_2500084.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..118f8167fa94c3705d237ec10996de57e5403d9b --- /dev/null +++ b/z-image/lora/Penis, Hung Twinks ZIT/Hung_Twinks v3 -mid_2220721-vid_2500084.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:88f6739f515ca66c5e7e437c6c27c9398f99f7f7a11a14ce8e92d6212591a8a9 +size 678386416 diff --git a/z-image/lora/Penis, Hung Twinks ZIT/extra_data-vid_2500084/model_dict-mid_2220721-vid_2500084.json b/z-image/lora/Penis, Hung Twinks ZIT/extra_data-vid_2500084/model_dict-mid_2220721-vid_2500084.json new file mode 100644 index 0000000000000000000000000000000000000000..372012cde6e47ea33b07a9d6f044eb21bee9b9c1 --- /dev/null +++ b/z-image/lora/Penis, Hung Twinks ZIT/extra_data-vid_2500084/model_dict-mid_2220721-vid_2500084.json @@ -0,0 +1,154 @@ +{ + "id": 2220721, + "name": "Penis, Hung Twinks ZIT", + "description": "

Please if you generate something cool - post it. I’m checking this page like a kid waiting to see what people make of it :)

This is a V2 of my Hung Twinks lora which has improved quality and can actually generate better background.
Dataset was cleaned up and training took 48 hours on a 6000pro at higher res.
I personally think it is a huge improvement, if you like this lora, please leave a like :) 

I inference on de-distilled model

Model does best with prompts written by QWEN VL, this is also what I used to caption the dataset.

Enjoy and text me questions if you have any questions

res-2m
beta57
cfg 3
30 steps
1440x1440

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit,Rent,Sell}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 8270042, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 656, + "thumbsUpCount": 77, + "thumbsDownCount": 0, + "commentCount": 5, + "tippedAmountCount": 110 + }, + "creator": { + "username": "kmax002624", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/77c66ea3-4473-478d-bd0d-2fa9bb62a163/width=96/kmax002624.jpeg" + }, + "tags": [ + "concept", + "gay", + "penis" + ], + "modelVersions": [ + { + "id": 2500084, + "index": 0, + "name": "V2", + "baseModel": "ZImageTurbo", + "baseModelType": "Standard", + "createdAt": "2025-12-13T17:16:52.735Z", + "publishedAt": "2025-12-13T17:35:16.047Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "covered": true, + "stats": { + "downloadCount": 656, + "thumbsUpCount": 77, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2388098, + "sizeKB": 662486.734375, + "name": "Hung_Twinks v3 .safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2025-12-13T17:21:05.225Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "C07841B8", + "AutoV2": "88F6739F51", + "SHA256": "88F6739F515CA66C5E7E437C6C27C9398F99F7F7A11A14CE8E92D6212591A8A9", + "CRC32": "E40BF2AD", + "BLAKE3": "8872AB7E506E7CCE8F81097F2A4283668EB6C3E9D5A0010CC6055E2B9A2BA535", + "AutoV3": "46B3F6653861" + }, + "downloadUrl": "https://civitai.com/api/download/models/2500084", + "primary": true + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b8ed41ff-59fa-4d9c-8a28-27344cd4a8ba/original=true/113709597.jpeg", + "nsfwLevel": 8, + "width": 1440, + "height": 1440, + "hash": "U9EB]M0K0L~B0exu-pRi10xE=vI=Mxt7t7jY", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/dd149246-2e20-49fe-a5e2-43c10f312b67/original=true/113709633.jpeg", + "nsfwLevel": 16, + "width": 1440, + "height": 1440, + "hash": "URIN?Z9E00?^yDRiRP%MM_x[%2ROt5jFofkC", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/2ed24320-615f-4ad3-82f4-3d5d32625e38/original=true/113709632.jpeg", + "nsfwLevel": 8, + "width": 1440, + "height": 1440, + "hash": "U9HxHHRP010e00-URPtm0Mkq~Br=9t9a~WVY", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": 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NSFW/b3tterbreast-mid_2203854-vid_2481400.csv new file mode 100644 index 0000000000000000000000000000000000000000..e8802289eeb0f37729d988fb84ebdf81077256ca --- /dev/null +++ b/z-image/lora/PhotoReal BetterBreasts & NSFW/b3tterbreast-mid_2203854-vid_2481400.csv @@ -0,0 +1,7 @@ +hash_name, hash_id +AutoV1, DDFCE7C8 +AutoV2, 3CCC32F5C1 +SHA256, 3CCC32F5C1AC526F5A695EA22377CFEC92C544BA0EA33AD82CC92C94B00E8B4E +CRC32, 51920745 +BLAKE3, A3B1A396773A0D94DABA8433A034B323D0FABAE3E3F3EADF25C4D08FC9781A52 +AutoV3, 2D6DABF45A82 \ No newline at end of file diff --git a/z-image/lora/PhotoReal BetterBreasts & NSFW/b3tterbreast-mid_2203854-vid_2481400.safetensors b/z-image/lora/PhotoReal BetterBreasts & NSFW/b3tterbreast-mid_2203854-vid_2481400.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..8cfdf1fb5c5126f8aeb0d0fe32816db34b818bc7 --- /dev/null +++ b/z-image/lora/PhotoReal BetterBreasts & NSFW/b3tterbreast-mid_2203854-vid_2481400.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3ccc32f5c1ac526f5a695ea22377cfec92c544ba0ea33ad82cc92c94b00e8b4e +size 170128216 diff --git a/z-image/lora/PhotoReal BetterBreasts & NSFW/extra_data-vid_2481400/model_dict-mid_2203854-vid_2481400.json b/z-image/lora/PhotoReal BetterBreasts & NSFW/extra_data-vid_2481400/model_dict-mid_2203854-vid_2481400.json new file mode 100644 index 0000000000000000000000000000000000000000..6a623b3b88fafd2b94075ac3d08f3b6e699c8c09 --- /dev/null +++ b/z-image/lora/PhotoReal BetterBreasts & NSFW/extra_data-vid_2481400/model_dict-mid_2203854-vid_2481400.json @@ -0,0 +1,272 @@ +{ + "id": 2203854, + "name": "PhotoReal BetterBreasts / NSFW", + "description": "

Small, medium, large breasts quality enhancer.

Recommended settings :

Sampler : DPM++ 2m SDE / simple

Steps : 16

Lora weight 0.7 - 0.9


Full workflow embedded in the example images.

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit,Rent,Sell}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 2814, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 2148, + "thumbsUpCount": 174, + "thumbsDownCount": 0, + "commentCount": 0, + "tippedAmountCount": 0 + }, + "creator": { + "username": "aip0pp", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/56641cf1-62d0-496e-af29-b70a94f179c0/width=96/aip0pp.jpeg" + }, + "tags": [ + "concept", + "tits", + "breasts", + "nsfw", + "boob", + "nipple" + ], + "modelVersions": [ + { + "id": 2481400, + "index": 0, + "name": "v1.0", + "baseModel": "ZImageTurbo", + "baseModelType": "Standard", + "createdAt": "2025-12-07T21:36:31.618Z", + "publishedAt": "2025-12-07T21:59:15.461Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "trainedWords": [ + "breasts,large,medium, small" + ], + "covered": true, + "stats": { + "downloadCount": 2148, + "thumbsUpCount": 174, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2369935, + "sizeKB": 166140.8359375, + "name": "b3tterbreast.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2025-12-07T21:40:57.521Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "DDFCE7C8", + "AutoV2": "3CCC32F5C1", + "SHA256": "3CCC32F5C1AC526F5A695EA22377CFEC92C544BA0EA33AD82CC92C94B00E8B4E", + "CRC32": "51920745", + "BLAKE3": "A3B1A396773A0D94DABA8433A034B323D0FABAE3E3F3EADF25C4D08FC9781A52", + "AutoV3": "2D6DABF45A82" + }, + "downloadUrl": "https://civitai.com/api/download/models/2481400", + "primary": true + } + ], + "images": [ + { + "url": 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+1,1003 @@ +{ + "id": 2174081, + "name": "PhotoReal BetterNudes / NSFW", + "description": "

--------------------- V3.0 ---------------------

A lot of effort went into this — hope you guys like it :)

This V3 release includes several major improvements. I carefully reviewed the feedback I received and addressed the issues present in the previous LoRA. Updates include:

– No more color fading
– Faces are no longer altered
– Improved genital anatomy
– Greater overall versatility
– A fully reworked dataset
– A new training method
– Support for both shaved and hairy anatomy
– More body-type diversity (not limited to skinny women)
– More consistent close-up results

Use this lora between : 0.7 - 1

recommended triggers : shaved pussy, anus, hairy pussy

Sampler : Euler / beta - 10steps

worflow embedded in each pictures

--------------------- V2.0 ---------------------

  • improved high res dataset

  • no more faces in dataset

  • adjusted training params

  • better skin texture and genitals

Recommended settings :

Lora weight 0.7 - 1


Full workflow embedded in the example images.

First try on training a z-image lora.

Keep in mind this is trained on the distilled version and not the base model (not released yet).

Once the base model is released i'll re-train and update the lora.

No specific keywords but i recommend using words like : naked,exposing her pussy.

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit,Rent,Sell}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 2814, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 14742, + "thumbsUpCount": 864, + "thumbsDownCount": 2, + "commentCount": 48, + "tippedAmountCount": 1200 + }, + "creator": { + "username": "aip0pp", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/56641cf1-62d0-496e-af29-b70a94f179c0/width=96/aip0pp.jpeg" + }, + "tags": [ + "nude", + "naked", + "style", + "woman", + "nsfw", + "photographic" + ], + "modelVersions": [ + { + "id": 2474435, + "index": 0, + "name": "v3.0", + "baseModel": "ZImageTurbo", + "baseModelType": "Standard", + "createdAt": "2025-12-05T21:33:59.070Z", + "publishedAt": "2025-12-08T21:51:15.588Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "description": "

This V3 comes with several improvements. I took into consideration a lot of comments i received to fix the issues of the previous lora, including :

  • no more fading issue in colors

  • not modifying faces anymore

  • better pussy anatomy

  • more versatile

  • total rework of the dataset

  • new training method

  • hairy pussy as well

  • no more only skinny women

  • more consistent close up

Use this lora between 0.7 - 1

recommended triggers : shaved pussy, anus, hairy pussy

Sampler : Euler / beta - 10steps

worflow embedded in ech pictures

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  • improved high res dataset

  • optimize steps

  • better skin texture

  • no more face in dataset

  • better genitals rendering

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--git a/z-image/lora/PornMaster flat breasts Z-image/PornMaster_flat breasts_zimage_v2_A-mid_2196133-vid_2472770.csv b/z-image/lora/PornMaster flat breasts Z-image/PornMaster_flat breasts_zimage_v2_A-mid_2196133-vid_2472770.csv new file mode 100644 index 0000000000000000000000000000000000000000..61c8be8e88fbe05b998520779081a9b948d46ed6 --- /dev/null +++ b/z-image/lora/PornMaster flat breasts Z-image/PornMaster_flat breasts_zimage_v2_A-mid_2196133-vid_2472770.csv @@ -0,0 +1,7 @@ +hash_name, hash_id +AutoV1, 4F23B8EF +AutoV2, 7D385936A4 +SHA256, 7D385936A4E7FF2C0D805D31D7151E8772A4982B5CD0C165C2D75376CBDA3CE3 +CRC32, 266F93EA +BLAKE3, 0FB3A98939252D7EF69D054D9B09DFE583C91E8149992A779338D89B821AAE3C +AutoV3, 8EF894BD6D70 \ No newline at end of file diff --git a/z-image/lora/PornMaster flat breasts Z-image/PornMaster_flat breasts_zimage_v2_A-mid_2196133-vid_2472770.safetensors b/z-image/lora/PornMaster flat breasts Z-image/PornMaster_flat 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b/z-image/lora/PornMaster flat breasts Z-image/extra_data-vid_2472770/model_dict-mid_2196133-vid_2472770.json new file mode 100644 index 0000000000000000000000000000000000000000..4931fcad3b13e3db15df13528170d5855d1e12af --- /dev/null +++ b/z-image/lora/PornMaster flat breasts Z-image/extra_data-vid_2472770/model_dict-mid_2196133-vid_2472770.json @@ -0,0 +1,406 @@ +{ + "id": 2196133, + "name": "PornMaster flat breasts Z-image", + "description": "

下載前請仔細閱讀使用說明，否則將無法正確生成圖片。

Please read the instructions carefully before downloading, otherwise the image will not be generated correctly.

Pornmaster_z-image_t2i_Workflow & z-image文生圖工作流

--

注意:Z-Image Turbo使用多個LORA時圖片容易出現燒焦錯誤的情況。

Note: When using multiple LoRa images with Z-Image Turbo, images are prone to burning errors.

--

2025/12/05:

A lora或B lora可單獨使用，A訓練步驟較低，B訓練步驟較高，當A和B一起使用時只需LORA權重0.4就可生效。

但是要組合和其它LORA時，則必須A或B單獨使用。

此LORA會影響人臉，如果要還原內建人物的臉則必須進行面部修復。

或是使用A和B一起使用並且權重0.4即可降低對內建人物臉部的影響。

使用H200 SXM訓練。

--

Lora A or Lora B can be used individually. Lora A has a lower training step count, while Lora B has a higher training step count. When A and B are used together, a Lora weight of 0.4 is sufficient for effectiveness.

However, to combine them with other Lora types, either A or B must be used individually.

This Lora type affects the face; facial retouching is necessary to recreate the built-in character's face.

Alternatively, using A and B together with a weight of 0.4 can reduce the impact on the built-in character's face.

Training is performed using H200 SXM.

--

觸發詞(Trigger words):

pornmaster flat breasts, a woman with flat chest,

--

我的其他檢查站和Lora。

My other checkpoints and Lora.

--

客製化lora:我的Telegram ID:@iamddtla0620

我的微信ID:iamddtla

我的line ID:iamddtla

時間寶貴，請直接說明來意，例如:訂製lora.

Customized lora: My Telegram ID: @iamddtla0620

My WeChat ID: iamddtla

My Line ID: iamddtla

Time is precious, please state your intention directly, for example: customized LORA.

", + "allowNoCredit": false, + "allowCommercialUse": "{Image,RentCivit}", + "allowDerivatives": false, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 73783, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 1369, + "thumbsUpCount": 194, + "thumbsDownCount": 0, + "commentCount": 4, + "tippedAmountCount": 0 + }, + "creator": { + "username": "iamddtla", + "image": "https://lh3.googleusercontent.com/a/AEdFTp5bLRSxNNvnArWVr6Y8VLgAS3EP8lPrtSSagw_dEw=s96-c" + }, + "tags": [ + "concept", + "nipples", + "flat chest", + "flat breasts" + ], + "modelVersions": [ + { + "id": 2472778, + "index": 0, + "name": "V2_B", + "baseModel": "ZImageTurbo", + "baseModelType": "Standard", + "createdAt": "2025-12-05T11:30:15.304Z", + "publishedAt": "2025-12-20T11:32:14.172Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "description": "

A lora或B lora可單獨使用，A訓練步驟較低，B訓練步驟較高，當A和B一起使用時只需LORA權重0.4就可生效。

但是要組合和其它LORA時，則必須A或B單獨使用。

此LORA會影響人臉，如果要還原內建人物的臉則必須進行面部修復。

或是使用A和B一起使用並且權重0.4即可降低對內建人物臉部的影響。

使用H200 SXM訓練。

--

Lora A or Lora B can be used individually. Lora A has a lower training step count, while Lora B has a higher training step count. When A and B are used together, a Lora weight of 0.4 is sufficient for effectiveness.

However, to combine them with other Lora types, either A or B must be used individually.

This Lora type affects the face; facial retouching is necessary to recreate the built-in character's face.

Alternatively, using A and B together with a weight of 0.4 can reduce the impact on the built-in character's face.

Training is performed using H200 SXM.

--

觸發詞(Trigger words):

pornmaster flat breasts, a woman with flat chest,

--

https://civitai.com/models/2196133?modelVersionId=2472778

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A lora或B lora可單獨使用，A訓練步驟較低，B訓練步驟較高，當A和B一起使用時只需LORA權重0.4就可生效。

但是要組合和其它LORA時，則必須A或B單獨使用。

此LORA會影響人臉，如果要還原內建人物的臉則必須進行面部修復。

或是使用A和B一起使用並且權重0.4即可降低對內建人物臉部的影響。

使用H200 SXM訓練。

--

Lora A or Lora B can be used individually. Lora A has a lower training step count, while Lora B has a higher training step count. When A and B are used together, a Lora weight of 0.4 is sufficient for effectiveness.

However, to combine them with other Lora types, either A or B must be used individually.

This Lora type affects the face; facial retouching is necessary to recreate the built-in character's face.

Alternatively, using A and B together with a weight of 0.4 can reduce the impact on the built-in character's face.

Training is performed using H200 SXM.

--

觸發詞(Trigger words):

pornmaster flat breasts, a woman with flat chest,

--

https://civitai.com/models/2196133?modelVersionId=2472770

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下載前請仔細閱讀使用說明，否則將無法正確生成圖片。

Please read the instructions carefully before downloading, otherwise the image will not be generated correctly.

Pornmaster_z-image_t2i_Workflow & z-image文生圖工作流

--

注意:Z-Image Turbo使用多個LORA時圖片容易出現燒焦錯誤的情況。

Note: When using multiple LoRa images with Z-Image Turbo, images are prone to burning errors.

--

2025/12/05:

A lora或B lora可單獨使用，A訓練步驟較低，B訓練步驟較高，當A和B一起使用時只需LORA權重0.4就可生效。

但是要組合和其它LORA時，則必須A或B單獨使用。

此LORA會影響人臉，如果要還原內建人物的臉則必須進行面部修復。

或是使用A和B一起使用並且權重0.4即可降低對內建人物臉部的影響。

使用H200 SXM訓練。

--

Lora A or Lora B can be used individually. Lora A has a lower training step count, while Lora B has a higher training step count. When A and B are used together, a Lora weight of 0.4 is sufficient for effectiveness.

However, to combine them with other Lora types, either A or B must be used individually.

This Lora type affects the face; facial retouching is necessary to recreate the built-in character's face.

Alternatively, using A and B together with a weight of 0.4 can reduce the impact on the built-in character's face.

Training is performed using H200 SXM.

--

觸發詞(Trigger words):

pornmaster flat breasts, a woman with flat chest,

--

我的其他檢查站和Lora。

My other checkpoints and Lora.

--

客製化lora:我的Telegram ID:@iamddtla0620

我的微信ID:iamddtla

我的line ID:iamddtla

時間寶貴，請直接說明來意，例如:訂製lora.

Customized lora: My Telegram ID: @iamddtla0620

My WeChat ID: iamddtla

My Line ID: iamddtla

Time is precious, please state your intention directly, for example: customized LORA.

", + "allowNoCredit": false, + "allowCommercialUse": "{Image,RentCivit}", + "allowDerivatives": false, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 73783, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 1369, + "thumbsUpCount": 194, + "thumbsDownCount": 0, + "commentCount": 4, + "tippedAmountCount": 0 + }, + "creator": { + "username": "iamddtla", + "image": "https://lh3.googleusercontent.com/a/AEdFTp5bLRSxNNvnArWVr6Y8VLgAS3EP8lPrtSSagw_dEw=s96-c" + }, + "tags": [ + "concept", + "nipples", + "flat chest", + "flat breasts" + ], + "modelVersions": [ + { + "id": 2472778, + "index": 0, + "name": "V2_B", + "baseModel": "ZImageTurbo", + "baseModelType": "Standard", + "createdAt": "2025-12-05T11:30:15.304Z", + "publishedAt": "2025-12-20T11:32:14.172Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "description": "

A lora或B lora可單獨使用，A訓練步驟較低，B訓練步驟較高，當A和B一起使用時只需LORA權重0.4就可生效。

但是要組合和其它LORA時，則必須A或B單獨使用。

此LORA會影響人臉，如果要還原內建人物的臉則必須進行面部修復。

或是使用A和B一起使用並且權重0.4即可降低對內建人物臉部的影響。

使用H200 SXM訓練。

--

Lora A or Lora B can be used individually. Lora A has a lower training step count, while Lora B has a higher training step count. When A and B are used together, a Lora weight of 0.4 is sufficient for effectiveness.

However, to combine them with other Lora types, either A or B must be used individually.

This Lora type affects the face; facial retouching is necessary to recreate the built-in character's face.

Alternatively, using A and B together with a weight of 0.4 can reduce the impact on the built-in character's face.

Training is performed using H200 SXM.

--

觸發詞(Trigger words):

pornmaster flat breasts, a woman with flat chest,

--

https://civitai.com/models/2196133?modelVersionId=2472778

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A lora或B lora可單獨使用，A訓練步驟較低，B訓練步驟較高，當A和B一起使用時只需LORA權重0.4就可生效。

但是要組合和其它LORA時，則必須A或B單獨使用。

此LORA會影響人臉，如果要還原內建人物的臉則必須進行面部修復。

或是使用A和B一起使用並且權重0.4即可降低對內建人物臉部的影響。

使用H200 SXM訓練。

--

Lora A or Lora B can be used individually. Lora A has a lower training step count, while Lora B has a higher training step count. When A and B are used together, a Lora weight of 0.4 is sufficient for effectiveness.

However, to combine them with other Lora types, either A or B must be used individually.

This Lora type affects the face; facial retouching is necessary to recreate the built-in character's face.

Alternatively, using A and B together with a weight of 0.4 can reduce the impact on the built-in character's face.

Training is performed using H200 SXM.

--

觸發詞(Trigger words):

pornmaster flat breasts, a woman with flat chest,

--

https://civitai.com/models/2196133?modelVersionId=2472770

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She has striking, almond-shaped blue eyes and a subtle, inviting smile. Her attire is a revealing, fantasy-inspired outfit: a white, off-the-shoulder top with intricate purple laces and a blue, pleated skirt. The top is partially undone, revealing her ample cleavage and a significant amount of skin, emphasizing her full, round breasts.\nShe is standing on a rustic wooden pier, with the background featuring calm, golden-hued water reflecting the warm, late-afternoon sun. The wooden planks of the pier are weathered and worn, giving a sense of age and use. The water's surface is rippled and slightly distorted, capturing the sunlight's gentle ripples. \nThe woman's pose is slightly provocative, with her right hand grasping the top, pulling it down to reveal more of her cleavage, while her left hand holds a small, delicate piece of the garment. Her expression is soft and inviting, engaging the viewer directly. The overall scene and character design suggest a blend of fantasy and realism, possibly from a game or anime-inspired\nThe background suggests an industrial or urban setting, with a chain-link fence and metal pipes visible, adding to the gritty, edgy atmosphere. The lighting is cool-toned", + "sampler": "ddim", + "cfgScale": 1, + "resources": [], + "negativePrompt": "over-smooth skin, plastic skin, doll face, waxy texture, blurry face, fake pores, exaggerated makeup, over-sharpening, unrealistic symmetry, flat lighting, low detail skin, extra fingers, distorted anatomy" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/z-image/lora/Realistic 3D CGI & Mexes/extra_data-vid_2538464/115255670.jpeg b/z-image/lora/Realistic 3D CGI & Mexes/extra_data-vid_2538464/115255670.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..0b9a7084738057f4d496854ca5783732d181236b --- /dev/null +++ b/z-image/lora/Realistic 3D CGI & Mexes/extra_data-vid_2538464/115255670.jpeg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:037b8824c9a006c42f3c3b4a98641103a29c45fb3af78f70426477eafb15d2e5 +size 988020 diff --git a/z-image/lora/Realistic 3D CGI & Mexes/extra_data-vid_2538464/115255670.json b/z-image/lora/Realistic 3D CGI & Mexes/extra_data-vid_2538464/115255670.json new file mode 100644 index 0000000000000000000000000000000000000000..5b2703bb2201f3089dcfc571357b4e270268237e --- /dev/null +++ b/z-image/lora/Realistic 3D CGI & Mexes/extra_data-vid_2538464/115255670.json @@ -0,0 +1,33 @@ +{ + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/487a5c0f-70f1-44ee-91d9-efbe070ce343/original=true/115255670.jpeg", + "nsfwLevel": 2, + "width": 768, + "height": 1152, + "hash": "U2CFt}0100_M.7~W00IA000L~WjI005m?v0L", + "type": "image", + "metadata": { + "hash": "U2CFt}0100_M.7~W00IA000L~WjI005m?v0L", + "size": 988020, + "width": 768, + "height": 1152, + "nsfwLevelReason": "Knights Vote" + }, + "minor": false, + "poi": false, + "meta": { + "Size": "768x1152", + "seed": 249417912859998, + "Model": "EMS-1369398-EMS.safetensors", + "steps": 9, + "prompt": "3dxl, a highly detailed, CGI-rendered digital artwork of a young woman, She is depicted in a provocative outfit reminiscent of a sailor uniform, but with a rebellious twist. The woman has long, straight, light brown hair styled in pigtails, adorned with a large white flower on one side. Her striking blue eyes are prominent, and she has a confident, slightly mischievous expression.\nShe is wearing a black, low-cut crop top with a white sailor collar, revealing a significant amount of cleavage and a tattoo of a small, stylized bird on her chest. The top is tied at the neck, leaving her midriff exposed. She also wears a matching black mini skirt, which is pleated and short, exposing much of her lower body.\nHer face is partially covered by a black mask with a white mouth and eye cutouts, giving her a mysterious, rebellious appearance. She holds a baseball bat over her shoulder, suggesting a potential punk or rebellious theme. Her outfit is accessorized with a black choker and a small pendant necklace.\nThe background suggests an industrial or urban setting, with a chain-link fence and metal pipes visible, adding to the gritty, edgy atmosphere. The lighting is cool-toned", + "sampler": "ddim", + "cfgScale": 1, + "resources": [], + "negativePrompt": "over-smooth skin, plastic skin, doll face, waxy texture, blurry face, fake pores, exaggerated makeup, over-sharpening, unrealistic symmetry, flat lighting, low detail skin, extra fingers, distorted anatomy" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/z-image/lora/Realistic 3D CGI & Mexes/extra_data-vid_2538464/model_dict-mid_2255041-vid_2538464.json b/z-image/lora/Realistic 3D CGI & Mexes/extra_data-vid_2538464/model_dict-mid_2255041-vid_2538464.json new file mode 100644 index 0000000000000000000000000000000000000000..2794dbea79b38c9d89d329f7427768c352bdce7c --- /dev/null +++ b/z-image/lora/Realistic 3D CGI & Mexes/extra_data-vid_2538464/model_dict-mid_2255041-vid_2538464.json @@ -0,0 +1,244 @@ +{ + "id": 2255041, + "name": "Realistic 3D CGI | Mexes", + "description": "

Trigger word: 3dxl

Recommended weight: 0.6 - 0.8

Notice: This LoRA tends to lean towards Asian features due to the training data. If you want to achieve a different look, please specify it in your prompt or use negative prompts.

This is my first time training with natural language and using Z-Image, so the quality might be... questionable, but it works!

It is also my first time generating with natural language, so you will likely achieve better results than the ones shown in the examples.

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit,Rent}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": false, + "nsfwLevel": 14, + "availability": "Public", + "userId": 2163471, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 128, + "thumbsUpCount": 18, + "thumbsDownCount": 0, + "commentCount": 0, + "tippedAmountCount": 0 + }, + "creator": { + "username": "Mexes", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b40f2e9a-b23c-4561-9bc9-667ea4137bec/width=96/Mexes.jpeg" + }, + "tags": [ + "cgi", + "style", + "z image", + "3d" + ], + "modelVersions": [ + { + "id": 2538464, + "index": 0, + "name": "v0.1", + "baseModel": "ZImageTurbo", + "baseModelType": "Standard", + "createdAt": "2025-12-26T20:00:28.576Z", + "publishedAt": "2025-12-26T20:07:55.771Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 14, + "trainedWords": [ + "3dxl", + "highly detailed CGI", + "hyper-realistic CGI" + ], + "covered": true, + "stats": { + "downloadCount": 128, + "thumbsUpCount": 18, + "thumbsDownCount": 0 + }, + "files": [ + { + "id": 2426470, + "sizeKB": 166140.3984375, + "name": "realistic_3d_cgi.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2025-12-26T20:06:07.822Z", + "metadata": { + "format": "SafeTensor" + }, + "hashes": { + "AutoV1": "32DC727C", + "AutoV2": "C0E8DBECFC", + "SHA256": "C0E8DBECFCB23775DEB93C635B7172D70281EE108F237B458FBDA9CDFB964A97", + "CRC32": "7FAD2744", + "BLAKE3": "CCA2E21989D764142F2AEA47B37B0814AA7017A949D4A36290A3A4AF387CBBF1", + "AutoV3": "119063F328BF" + }, + "downloadUrl": "https://civitai.com/api/download/models/2538464", + "primary": true + } + ], + "images": [ + { + "url": 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C0E8DBECFCB23775DEB93C635B7172D70281EE108F237B458FBDA9CDFB964A97 +CRC32, 7FAD2744 +BLAKE3, CCA2E21989D764142F2AEA47B37B0814AA7017A949D4A36290A3A4AF387CBBF1 +AutoV3, 119063F328BF \ No newline at end of file diff --git a/z-image/lora/Realistic 3D CGI & Mexes/realistic_3d_cgi-mid_2255041-vid_2538464.safetensors b/z-image/lora/Realistic 3D CGI & Mexes/realistic_3d_cgi-mid_2255041-vid_2538464.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..6aa0c104a277f1f4c0252298a945ce43f4d365d8 --- /dev/null +++ b/z-image/lora/Realistic 3D CGI & Mexes/realistic_3d_cgi-mid_2255041-vid_2538464.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c0e8dbecfcb23775deb93c635b7172d70281ee108f237b458fbda9cdfb964a97 +size 170127768 diff --git a/z-image/lora/Ultimate Blowjob - Z-Image Turbo - K3nk/extra_data-vid_2488034/model_dict-mid_2209861-vid_2488034.json b/z-image/lora/Ultimate Blowjob - Z-Image Turbo - K3nk/extra_data-vid_2488034/model_dict-mid_2209861-vid_2488034.json new file mode 100644 index 0000000000000000000000000000000000000000..c78a00a944be9c3b71c05a96d63e365db9f1d66c --- /dev/null +++ b/z-image/lora/Ultimate Blowjob - Z-Image Turbo - K3nk/extra_data-vid_2488034/model_dict-mid_2209861-vid_2488034.json @@ -0,0 +1,366 @@ +{ + "id": 2209861, + "name": "Ultimate Blowjob - Z-Image Turbo - K3nk", + "description": "

Deepthroat blowjob lora for Z-Image

  • Trained on Diffusion Pipe on 1097 high res images

  • Trained at 256,468 and 720 buckets

  • Trained using de-turbo model

  • Added some of my CyberRealistic Pɵnis ूाीू dataset for better penis, since having 1k images was not enough.. ? -.- (penis is a bit big, sorry 😅)

Im using three samplers, in order:

  1. Euler_ancestral, beta57, 12 steps (out of 20, advanced ksampler), 1.0 denoise, lora str 0.9

  2. euler, smg_uniform, 2 steps, 0.57 denoise, lora str 0.9

  3. res_2m, bong_tangent, 2 steps, 0.3 denoise, lora str 0.9

Is not intended to produce the glans, i make this thinking in first frame for my deepthroat loras for wan2.2

The workflow im using is embeded inside the images, drag 'n drop into comfyui

Example prompts

---- POV ANGLE ------

A high-angle POV of a man standing looking downwards revealing a blonde woman performing a deepthroat blowjob on his penis. The woman is engulfing his entire penis while looking upwards with an expression of fatigue. The woman has her body covered in tattoos.
A high-angle POV of a naked individual standing while a woman is performing a deepthroat blowjob on his penis. The lower body of the individual is visible. The woman is smashing her nose agains the man's hips while looking upwards with an expression of fatigue.
pov view of a man looking down to a light-skinned woman with wet, shoulder-length brown hair, performing oral sex on his own penis. She is kneeling, looking up at the viewer with green eyes, and her mouth is around his erect penis. The man's pubic hair is visible. The background shows a light-colored tiled floor.  testicles not visible.
a fair-skinned woman with pigtails, wearing a pink sweater, performing oral sex on a nude man with a large erect penis. The man's legs are spread apart, and his testicles are visible. The background includes green plants and a white brick wall. The woman's lips are wrapped around the man's penis, and her eyes are fixed on the viewer. The image is explicit and shows a close-up, intimate perspective.

---- SIDEV VIEW ------

A close-up sideview a young woman performing deepthroat blowjob on a penis. She has light brown skin, brown hair, and large hoop earrings. Her eyes are wide open and she appears to be swallowing the man's semen. The man has a circumcised penis and is standing. The background is a blurred wooden floor.
a woman performing oral sex on a man. The woman, with wet, dark hair, has her eyes half-closed and her lips wrapped around the man's erect penis, which is glistening with saliva. The man's testicles are visible and slightly veined. The background is blurred and light-colored, indicating an indoor setting. The woman's expression is one of concentration and engagement.
A blonde woman with fair skin and medium-sized breasts kneels on a white floor, performing oral sex on a standing man with a visible erect penis. Her eyes are focused upwards, and her hair is slightly messy. The man's pubic area and lower abdomen are partially visible. The background is minimalistic with a white couch on the left.
A photograph of a naked brunette woman on all fours on a white bed, performing oral sex on a nude man. She has large breasts and is positioned with her legs spread, revealing her buttocks. The man's hand is holding her hair, guiding her. His erect penis is visible, and she is swallowing. The background includes a wooden headboard and an orange wall.
A photograph of a naked fat chubby man and woman dressed up like DC's Wonder Woman engaged in oral sex. The man, standing, has a muscular physique and is wearing a maroon t-shirt and black pants pulled down to reveal his erect penis. The woman, kneeling, has long brown hair and wears a red crop top and fishnet stockings. She is performing a blowjob. The background includes a beige sofa with patterned cushions and a wooden side table. The lighting is bright, and the setting appears to be a living room.

---- 69 POV ------

a close-up of a young woman performing oral sex on a man. The woman, with fair skin and brown hair, wears a pink top and is positioned lying on top of the man sucking his penis. The man's penis is erect and prominently displayed in the center of the image. The testicles are visible, and his skin tone is slightly darker. The woman's eyes are fixed on the viewer, and she appears to be deeply engaged in the act. The background is blurred but shows random objects. The image focuses on the intimate act, with the woman's facial expression and the man's genitalia in sharp detail.
a woman performing oral sex on a man with his legs spreaded. The woman, with wet, dark hair, has her eyes are looking up at the man's face, and her lips wrapped around the man's erect penis, which is glistening with saliva and have a smooth and tight foreskin. The man's testicles are visible and slightly veined. The background is blurred and light-colored, indicating an indoor setting. The woman's expression is one of concentration and engagement.

---- IRRUMATIO ------

Close-up irrumatio of a fair-skinned woman with light brown hair performing oral sex on a dark-skinned man. She is lying on her back on a beige couch, her head tilted back, eyes wide open, and lips wrapped around the man's erect penis. The man's testicles are visible, hanging above her face. The woman's expression is one of concentration. The background is neutral, focusing attention on the act. The image is intimate and explicit, showcasing a deep-throating position.
close-up shot of a woman with long red hair lying on top of a table with one of the table legs visible, she is upside down with her long hair falling down. the woman is performing oral sex on a man's erected penis. The penis is curved upwards. She is swallowing the penis while upside down, with the man's scrotum touching her nose. She is wearing a lingerie choker. The man is standing, penis deep in her mouth.

Have fun! 😜

***** This LoRA is shared without warranties and with the condition that it is used in a lawful and responsible way. I do not support or take responsibility for illegal, harmful, or harassing uses. By downloading or using it, you accept that you are solely responsible for how it is used. *****

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--git a/z-image/lora/Ultimate Blowjob - Z-Image Turbo - K3nk/zit-deepthroat-31epoc-k3nk-mid_2209861-vid_2488034.csv b/z-image/lora/Ultimate Blowjob - Z-Image Turbo - K3nk/zit-deepthroat-31epoc-k3nk-mid_2209861-vid_2488034.csv new file mode 100644 index 0000000000000000000000000000000000000000..a02295c95b58050dc825ade24acf6dcc61c19ce8 --- /dev/null +++ b/z-image/lora/Ultimate Blowjob - Z-Image Turbo - K3nk/zit-deepthroat-31epoc-k3nk-mid_2209861-vid_2488034.csv @@ -0,0 +1,7 @@ +hash_name, hash_id +AutoV1, 5EC6DFA7 +AutoV2, 97401B1F4B +SHA256, 97401B1F4B548CF8E50A54737E98B09FEF39358C8FBB1B43A9E07A343AEBBFBB +CRC32, 9418701E +BLAKE3, 05FD7B18568E12E15E745EB96C9A024A000FA802EBC3661703A4F254A4B98F4E +AutoV3, 44E11191EF5F \ No newline at end of file diff --git a/z-image/lora/Ultimate Blowjob - Z-Image Turbo - K3nk/zit-deepthroat-31epoc-k3nk-mid_2209861-vid_2488034.safetensors b/z-image/lora/Ultimate Blowjob - Z-Image Turbo - K3nk/zit-deepthroat-31epoc-k3nk-mid_2209861-vid_2488034.safetensors 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Underview v1 - A Penis Model for Z-Image

This model is version 4 of attempting to train male anatomy with z-image turbo. I used the z-image de-turbo model provided by Ostris's Ai-Toolkit. After many attempts, I found that training at a high step count (this model is at 12k steps with 50 images at 512px with the de-turbo preset) and essentially over-baking allowed a low strength to be used so that quality of the image isn't badly degraded. This model is best used with a strength of 0.50-0.67, the quality should be similar to base (or better) and remains very flexible in outputs. It works best with a CFG more than 1 but less 3, I usually use 1.8 at 12-20 steps. You may need to do a low de-noise after to get some finer details. The model was trained with captions provided with the AutoDescribe-Images tool provided by hydropix on github. The trigger word is Underview, I specifically avoided training images of the top part of the glans as loras tend to get confused on which way is top or below, so keep vantage points at a lower angle and expect to get gens with the penis pointed up or to the side.

Underview v2


v2 is a modified version of v1 with an improved and much more consistent output. thanks to the amazing RealTimeLora v2 node shootthesound made!

After trial and error, the layers 24, 27, 28, and 29 could be turned off and eliminate most of the unwanted noise/artifacts that are present when the lora gets to full strength.

The lora also seems to understand higher angle views now, keeping it named \"Underview\" may be underselling it.

The RealTimeLora node pack also comes with a lora scheduling node that greatly improves the output.

The best schedule for the lora is (0:0, 0.2:0.65, 0.85:1, 1:0.65).

The v2 workflow is here: Underview v2 Workflow

The v1 version of the lora is still recommended to be used as a base pass (0.65 strength) before passing it to the v2 lora (with the above strength schedule).

v1 is better at following the prompted body types if you are wanting a less defined physique.

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit,Rent}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 940731, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 1332, + "thumbsUpCount": 113, + "thumbsDownCount": 0, + "commentCount": 6, + "tippedAmountCount": 100 + }, + "creator": { + "username": "n8te", + "image": "https://cdn.discordapp.com/avatars/557071630137032704/348856588736cc5a6c58c4f3928de6b8.png" + }, + "tags": [ + "concept", + "penis", + "anatomy", + "male", + "nsfw" + ], + "modelVersions": [ + { + "id": 2528979, + "index": 0, + "name": "v2.0", + "baseModel": "ZImageTurbo", + "baseModelType": "Standard", + "createdAt": "2025-12-23T07:37:41.068Z", + "publishedAt": "2025-12-23T07:57:59.037Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "description": "

v2 is a modified version of v1 with an improved and much more consistent output, thanks to the amazing RealTimeLora v2 node shootthesound made!

After trial and error, the layers 24, 27, 28, and 29 could be turned off and eliminate most of the unwanted noise/artifacts that are present when the lora gets to full strength.

The lora also seems to understand higher angle views now, keeping it named \"Underview\" may be underselling it.

The RealTimeLora node pack also comes with a lora scheduling node that greatly improves the output.

The best schedule for the lora is (0:0, 0.2:0.65, 0.85:1, 1:0.65).

The v2 workflow is here: Underview v2 Workflow

The v1 version of the lora is still recommended to be used as a base pass (0.65 strength) before passing it to the v2 lora (with the above strength schedule).

v1 is better at following the prompted body types if you are wanting a less defined physique.

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The ultimate POV experience—any angle, deep impact.

This LoRA is designed for high-quality Vaginal POV scenes with a heavy focus on BBC. It isn't limited to just one angle—it excels at delivering that immersive first-person perspective across all major positions. Whether it's Missionary, Cowgirl, Doggy Style, or Legs Up, if it’s vaginal and POV, this model locks it in.

While trained for the size and contrast of BBC content, the model’s understanding of penetration geometry is exceptionally flexible. As shown in the samples, it generalizes aggressively well! Swapping the phallus for vegetables, toys, or even... airplanes works surprisingly smoothly.

Key Features:

* Versatile POV: distinct first-person views for Missionary, Doggy, Cowgirl, and more.

* Anatomy Focus: detailed insertion points, realistic stretching, and fluids.

* High Flexibility: Perfect for BBC themes, but handles object insertion (corn, bottles, etc.) easily with the right tags.

全方位的第一人称 (POV) 体验，姿势不设限。

这是一个专攻 Vaginal POV (第一人称阴道性交) 的 LoRA，特别针对 BBC 题材进行了训练。这个模型不仅仅局限于传统的传教士位，它能完美驾驭各种 POV 视角——无论是**后入 (Doggy)**、**骑乘 (Cowgirl)** 还是**抬腿 (Legs Up)**，只要是第一人称视角的抽插场景，它都能精准出图。

虽然训练素材侧重于 BBC 的尺寸感和肤色对比，但模型对“插入”这一物理结构的理解非常到位，泛化能力极强！如示例图所示，它不挑“武器”——把主角换成蔬菜、玩具甚至……*飞机*，效果都出奇的好。

模型亮点：

* 多姿势兼容： 不止一种角度，完美支持后入、骑乘、传教士等多种体位的主视角。

* 细节还原： 结合部的撑开感、体液细节处理得非常真实。

* 玩法多样： BBC 效果最佳，但也可以通过 Tag 轻松替换为各种异物插入。

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My first lora on Civit. I know it is overbaked, but i did my best.

Posted updated model Lora, check my profile


Inference on de-distill by Ostris.

Update:

People say turbo works as well, so use what you like

Published a WF
https://civitai.com/models/2210286?modelVersionId=2488478

If you have a character lora, play with settings to keep likeness.

Dataset had 1200 images from X, Reddit and the vast internet.

I will retrain the model when full weights drop

Tips: the lora works well in rooms, small spaces etc. If you have a lot of background stuff, it will break (once again I tried to teach a distilled model)

Also I would love to hear your thoughts, so comment or text me your questions/remarks

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Retrain of https://civitai.com/models/1955914/wan-22-godpussy for Zimage Turbo. It was trained for 8000 steps using the AIToolkit and the de-destiled model. It came out ok-ish, but not great. Version 2.0 might follow in the future if there is interest in it.

Captions were done with JoyCaption.

Two sample prompts:

The scene is a close-up featuring a woman's vulva, the subject is filmed from below. The subject is a woman with red hair, she is nude and has a ring on her finger. She is moving her fingers slowly across her wet labia. The scene shows pussy play. 
This close-up photograph features a woman's vulva, with her labia and clitoral hood clearly visible. The skin tone is light, with a natural, unfiltered appearance and visible pores. The lighting is soft and natural, likely from ambient indoor light, providing a gentle illumination that highlights the skin's texture without harsh shadows. The camera angle is slightly tilted, focusing directly on the genital area, with a shallow depth of field that keeps the background blurred. The background appears to be a beige carpet, adding a neutral, non-distracting element to the composition. There is no visible makeup, and the skin looks natural and unaltered. The aesthetic quality of the image is moderate, with an emphasis on clarity and detail rather than artistic composition.

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Photographic portrait of a Korean woman inside a modern cozy apartment, warm window light illuminating her face, minimalist decor, relaxed and gentle expression, crisp focus on the face, detailed skin and hair textures, lifestyle photography vibe with shallow depth of field.", + "denoise": 1, + "sampler": "Euler", + "cfgScale": 1, + "scheduler": "simple", + "negativePrompt": "worst quality, low quality, blurry, ugly, bad" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/z-image/lora/Z-image - Realistic Korean Woman/extra_data-vid_2462182/model_dict-mid_2186734-vid_2462182.json b/z-image/lora/Z-image - Realistic Korean Woman/extra_data-vid_2462182/model_dict-mid_2186734-vid_2462182.json new file mode 100644 index 0000000000000000000000000000000000000000..223d9ea5ab748db4d5a4ec4a3b1f72863696b836 --- /dev/null +++ b/z-image/lora/Z-image - Realistic Korean Woman/extra_data-vid_2462182/model_dict-mid_2186734-vid_2462182.json @@ -0,0 +1,160 @@ +{ + "id": 2186734, + "name": "Z-image - Realistic Korean Woman", + "description": "

This LoRA is designed to enhance the realism, facial structure, and overall quality of Korean female generations. It’s my first attempt at creating a LoRA for Z image, so i hope you like it.

", + "allowNoCredit": false, + "allowCommercialUse": "{Image,RentCivit}", + "allowDerivatives": false, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": false, + "nsfwLevel": 9, + "availability": "Public", + "userId": 1198494, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 425, + "thumbsUpCount": 44, + "thumbsDownCount": 0, + "commentCount": 0, + "tippedAmountCount": 0 + }, + "creator": { + "username": "DeViLDoNia", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/93d3e311-b53b-42d5-a487-d3d354f0b18a/width=96/DeViLDoNia.jpeg" + }, + "tags": [ + "concept", + "model", + "woman", + "korean" + ], + "modelVersions": [ + { + "id": 2462182, + "index": 0, + "name": "v1.0", + "baseModel": "ZImageTurbo", + "baseModelType": "Standard", + "createdAt": "2025-12-02T10:54:24.762Z", + "publishedAt": "2025-12-02T10:58:48.401Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 9, + "description": "

v1.0

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Since base Checkpoint wasn't trained on any NSFW base data—and especially lacks underlying data for sexual content—it's completely normal for the LoRA to produce weird or strange results in those scenarios. Please be patient and try a few different prompts/settings; that's where the real fun of playing with LoRAs comes from ♪

Don't set your expectations too high—my LoRA isn't going to save the world (lol). That said, if you start with the prompts I used for the example images and tweak them a little, you'll very likely get some great results. Highly recommend building off those!

There are still 5 more versions in training right now. Stay tuned~

因为checkpoint没有NSFW的底层数据，性爱方面的底层数据更是没有，所以Lora生成奇怪的图片很正常，要有耐心多尝试几次，这样才有乐趣。你知道我的LORA模型不能拯救世界，所以期望值不要太大，另外对我现有示例图的提示词稍微修改，大概率能出不错的图片。未来还有五个版本，正在训练中。

A lot of people have been asking me how I manage to train and release so many LoRAs in such a short time—and whether I'm using cloud training. Let me clear that up here once and for all

I actually train everything locally on my own hardware. I have a personal rig with a 4090 that's dedicated full-time to AI training. My wife used to be really into PC gaming, but she doesn't play much anymore, so she kindly gave me her computer. Now I have two setups!

The 4090 machine runs training 24/7, while I use the second one for gaming, watching YouTube, and just chilling in my free time.

很多人问我为什么能短时间生成这么多LORA，是不是云训练的LORA。我在这里集中解释一下，我有自己4090的电脑用于AI生成训练，我老婆以前玩电脑游戏，现在不玩所以她电脑送给我，于是我有两台电脑。我的4090电脑在全职训练，平时用另一台电脑玩游戏，看youtube节目和休闲。

ZIT cum

Lora type: ZIT

trigger：zitcum, cum, hetero, 1boy, penis, uncensored, 1girl, pussy, realistic, after sex, after vaginal, nude, photorealistic, navel piercing, cum in pussy, lying, on back, cumdrip, completely nude, spread legs, erection, age difference, incest, anus, pubic hair

genarated checkpoint: z_image_turbo_bf16.safetensors

training checkpoint: z_image_turbo_bf16.safetensors

recommend strength:1

ZIT anal

Lora type: ZIT

trigger：zitan, anal, 1girl, 1boy, penis, hetero, thighhighs, sex, breasts, pussy, jewelry, uncensored, necklace, closed eyes, realistic, earrings, lying, solo focus, nipples, brown hair, open mouth, spread legs, mole, mole on thigh, testicles, pearl necklace, medium breasts, on back

genarated checkpoint: z_image_turbo_bf16.safetensors

training checkpoint: z_image_turbo_bf16.safetensors

recommend strength:1

ZIT doggy

Lora type: ZIT

trigger：zitdos, doggy style, 1girl, locker, hetero, underwear, sex, 1boy, panties, penis, locker room, realistic, panty pull, brown hair, ass, sex from behind, long hair, white panties, vaginal, censored, dress, nail polish, pussy, solo focus, standing sex, lips, clothes lift, mosaic censoring, brown eyes, looking back, standing, photorealistic, nude

genarated checkpoint: z_image_turbo_bf16.safetensors

training checkpoint: z_image_turbo_bf16.safetensors

recommend strength:1

denoise:1

ZIT cowgirl

Lora type: ZIT

trigger：zitcowg, cowgirl, 1girl, 1boy, hetero, realistic, anus, penis, blonde hair, ass, clothed male nude female, sex, vaginal, photorealistic, pussy, nude, uncensored, long hair, window, male pubic hair, straddling, girl on top, indoors, looking at viewer, completely nude, pubic hair, lips, nose, solo focus, looking back, parted lips, facial hair, ass grab, erection, cowgirl position, mole on ass

genarated checkpoint: z_image_turbo_bf16.safetensors

training checkpoint: z_image_turbo_bf16.safetensors

recommend strength:1

denoise:1

ZIT blowjob

Lora type: ZIT

trigger：zitblow, blowjob, 1girl, hetero, jewelry, penis, breasts, nipples, oral, 1boy, nude, fellatio, closed eyes, realistic, necklace, brown hair, bracelet, ring, large breasts, long hair, indoors, mole, solo focus, earrings, lips, kneeling, completely nude, erection, pubic hair, censored, mosaic censoring, male pubic hair, from side, testicles, hand on another's head

genarated checkpoint: z_image_turbo_bf16.safetensors

training checkpoint: z_image_turbo_bf16.safetensors

recommend strength:1

denoise:1

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--git a/z-image/lora/ZIT blowjob+cowgirl+doggy+anal+cum/extra_data-vid_2530375/model_dict-mid_2247663-vid_2530375.json b/z-image/lora/ZIT blowjob+cowgirl+doggy+anal+cum/extra_data-vid_2530375/model_dict-mid_2247663-vid_2530375.json new file mode 100644 index 0000000000000000000000000000000000000000..196b3846f196b00ac8adbe87f647da689590f41b --- /dev/null +++ b/z-image/lora/ZIT blowjob+cowgirl+doggy+anal+cum/extra_data-vid_2530375/model_dict-mid_2247663-vid_2530375.json @@ -0,0 +1,1687 @@ +{ + "id": 2247663, + "name": "ZIT blowjob+cowgirl+doggy+anal+cum", + "description": "

Since base Checkpoint wasn't trained on any NSFW base data—and especially lacks underlying data for sexual content—it's completely normal for the LoRA to produce weird or strange results in those scenarios. Please be patient and try a few different prompts/settings; that's where the real fun of playing with LoRAs comes from ♪

Don't set your expectations too high—my LoRA isn't going to save the world (lol). That said, if you start with the prompts I used for the example images and tweak them a little, you'll very likely get some great results. Highly recommend building off those!

There are still 5 more versions in training right now. Stay tuned~

因为checkpoint没有NSFW的底层数据，性爱方面的底层数据更是没有，所以Lora生成奇怪的图片很正常，要有耐心多尝试几次，这样才有乐趣。你知道我的LORA模型不能拯救世界，所以期望值不要太大，另外对我现有示例图的提示词稍微修改，大概率能出不错的图片。未来还有五个版本，正在训练中。

A lot of people have been asking me how I manage to train and release so many LoRAs in such a short time—and whether I'm using cloud training. Let me clear that up here once and for all

I actually train everything locally on my own hardware. I have a personal rig with a 4090 that's dedicated full-time to AI training. My wife used to be really into PC gaming, but she doesn't play much anymore, so she kindly gave me her computer. Now I have two setups!

The 4090 machine runs training 24/7, while I use the second one for gaming, watching YouTube, and just chilling in my free time.

很多人问我为什么能短时间生成这么多LORA，是不是云训练的LORA。我在这里集中解释一下，我有自己4090的电脑用于AI生成训练，我老婆以前玩电脑游戏，现在不玩所以她电脑送给我，于是我有两台电脑。我的4090电脑在全职训练，平时用另一台电脑玩游戏，看youtube节目和休闲。

ZIT cum

Lora type: ZIT

trigger：zitcum, cum, hetero, 1boy, penis, uncensored, 1girl, pussy, realistic, after sex, after vaginal, nude, photorealistic, navel piercing, cum in pussy, lying, on back, cumdrip, completely nude, spread legs, erection, age difference, incest, anus, pubic hair

genarated checkpoint: z_image_turbo_bf16.safetensors

training checkpoint: z_image_turbo_bf16.safetensors

recommend strength:1

ZIT anal

Lora type: ZIT

trigger：zitan, anal, 1girl, 1boy, penis, hetero, thighhighs, sex, breasts, pussy, jewelry, uncensored, necklace, closed eyes, realistic, earrings, lying, solo focus, nipples, brown hair, open mouth, spread legs, mole, mole on thigh, testicles, pearl necklace, medium breasts, on back

genarated checkpoint: z_image_turbo_bf16.safetensors

training checkpoint: z_image_turbo_bf16.safetensors

recommend strength:1

ZIT doggy

Lora type: ZIT

trigger：zitdos, doggy style, 1girl, locker, hetero, underwear, sex, 1boy, panties, penis, locker room, realistic, panty pull, brown hair, ass, sex from behind, long hair, white panties, vaginal, censored, dress, nail polish, pussy, solo focus, standing sex, lips, clothes lift, mosaic censoring, brown eyes, looking back, standing, photorealistic, nude

genarated checkpoint: z_image_turbo_bf16.safetensors

training checkpoint: z_image_turbo_bf16.safetensors

recommend strength:1

denoise:1

ZIT cowgirl

Lora type: ZIT

trigger：zitcowg, cowgirl, 1girl, 1boy, hetero, realistic, anus, penis, blonde hair, ass, clothed male nude female, sex, vaginal, photorealistic, pussy, nude, uncensored, long hair, window, male pubic hair, straddling, girl on top, indoors, looking at viewer, completely nude, pubic hair, lips, nose, solo focus, looking back, parted lips, facial hair, ass grab, erection, cowgirl position, mole on ass

genarated checkpoint: z_image_turbo_bf16.safetensors

training checkpoint: z_image_turbo_bf16.safetensors

recommend strength:1

denoise:1

ZIT blowjob

Lora type: ZIT

trigger：zitblow, blowjob, 1girl, hetero, jewelry, penis, breasts, nipples, oral, 1boy, nude, fellatio, closed eyes, realistic, necklace, brown hair, bracelet, ring, large breasts, long hair, indoors, mole, solo focus, earrings, lips, kneeling, completely nude, erection, pubic hair, censored, mosaic censoring, male pubic hair, from side, testicles, hand on another's head

genarated checkpoint: z_image_turbo_bf16.safetensors

training checkpoint: z_image_turbo_bf16.safetensors

recommend strength:1

denoise:1

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ZIT cameltoe

Lora type: ZIT

trigger：zitcamelt, cameltoe, 1girl, realistic, photorealistic, breasts, nipples, underwear, solo, blonde hair, panties, topless, navel, medium breasts, blue eyes, white panties, long hair, looking at viewer, indoors, lips, underwear only, standing, nose, pussy, window

genarated checkpoint: z_image_turbo_bf16.safetensors

training checkpoint: z_image_turbo_bf16.safetensors

recommend strength:1

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genarated checkpoint: z_image_turbo_bf16.safetensors

training checkpoint: z_image_turbo_bf16.safetensors

recommend strength:1

denoise:1

ZIT pussy check up

Lora type: ZIT

trigger：closed up, zitpuss, pussy, photorealistic, close-up, uncensored, spread pussy, clitoris, realistic, 1girl, pussy juice, clitoral hood, solo, fingernails, urethra, clitoral stimulation, pubic hair, fingering, spread legs, nail polish, nude, masturbation, anus

genarated checkpoint: z_image_turbo_bf16.safetensors

training checkpoint: z_image_turbo_bf16.safetensors

recommend strength:1

denoise:1

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100 pics, 30,000 training steps

ZIT pussy check up

Lora type: ZIT

trigger：closed up, zitpuss, pussy, photorealistic, close-up, uncensored, spread pussy, clitoris, realistic, 1girl, pussy juice, clitoral hood, solo, fingernails, urethra, clitoral stimulation, pubic hair, fingering, spread legs, nail polish, nude, masturbation, anus

genarated checkpoint: z_image_turbo_bf16.safetensors

training checkpoint: z_image_turbo_bf16.safetensors

recommend strength:1

denoise:1

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After the huge demand following my previous Futa Cock Growth LORA a lot of you asked for a simple, no-frills realistic penis that actually looks good on both women and men. This is my first public attempt. It’s surprisingly decent for a v1, but still limited in angle/size/shape variety. I’ll be retraining soon with a much bigger dataset for v2.

Works on:

  • Females (futa/tgirls)

  • Males

  • Solo or couple scenes

  • Sometimes can do different skin tones but its hit and miss

Base model: Z-Image Turbo

All sample images: Z-Image Turbo, Euler, 9 steps, CFG 1.0, strength 0.4–1

v1.5 is better at lower strenghts vs v1. Also works really well along side Mystic XXX for female anatomy fixes.

☕ Support
Enjoying my Loras? or want custom commissions? [Buy me a coffee]

Help fund more training using my runpod referral link, We both get credit! [Runpod ]

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Updated Dataset and Texture improvements, Captions cleaned up to improve prompting. Getting things cleaned up and ready for full z-image base model release, hopefully coming soon!  Works well mixed with Mystic XXX  for female anatomy fixes.  

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file diff --git a/z-image/lora/Zimage Turbo - Foreskin/Zimage_Foretea_XXXXXXXX_v11_64r_copy_000041000-mid_2225264-vid_2544100.safetensors b/z-image/lora/Zimage Turbo - Foreskin/Zimage_Foretea_XXXXXXXX_v11_64r_copy_000041000-mid_2225264-vid_2544100.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..7632b5f37da3c080fafed42fd51d38fca3aec186 --- /dev/null +++ b/z-image/lora/Zimage Turbo - Foreskin/Zimage_Foretea_XXXXXXXX_v11_64r_copy_000041000-mid_2225264-vid_2544100.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:da8b5cb7d33eb5e160e73197af46647b345bf7cc7d077d042fa82e9f9bdb2a0e +size 384228024 diff --git a/z-image/lora/Zimage Turbo - Foreskin/extra_data-vid_2544100/model_dict-mid_2225264-vid_2544100.json b/z-image/lora/Zimage Turbo - Foreskin/extra_data-vid_2544100/model_dict-mid_2225264-vid_2544100.json new file mode 100644 index 0000000000000000000000000000000000000000..d7fbb8bc782b0b7452896b623f3514cbdb29cdd3 --- /dev/null +++ b/z-image/lora/Zimage Turbo - Foreskin/extra_data-vid_2544100/model_dict-mid_2225264-vid_2544100.json @@ -0,0 +1,857 @@ +{ + "id": 2225264, + "name": "Zimage Turbo - Foreskin", + "description": "

The goal is for this model to be able to fully understand the nude male.

Version 2 is rank 64 so the details are slightly better than version 1. It follows prompts better than prior versions. It is trained on:

  • Nude Male

  • Pubic hair (default is closer to a hairless body, you do not need to tag hairless but you can put pubic hair & pubes in the negative)

  • Cumming/Ejaculating Cum works well

  • Masturbating

  • Inserting [object name] in foreskin

  • Inserting finger in foreskin

  • Grabbing foreskin

  • Ass/ Ass hole (example: photo of nude male's rear focusing on the ass hole)

  • Very Small/Small penis or Large penis

  • Fellatio/inserting tongue in foreskin

  • Fellatio/sucking foreskin

  • Fully Retracted Foreskin. tag \"fully_retracted_foreskin\" at the beginning of your prompt

  • Partially Retracted Foreskin. tag \"partially_retracted_foreskin\" at the beginning of your prompt

  • Long foreskin - doesn't work as intended.

  • Removed Foreskin (I did not train circumcised penis). tag \"removed_foreskin\" at the beginning of your prompt.

Pros of 2.0:

  • Dataset was tweaked after 1.0 and 1.5 to fill in gaps for some concepts making them stronger

  • Drawings/illustrations were recaptioned to avoid overwriting drawing styles as hard. The result are more realistic drawings.

  • Trained with less aggressive optimizer parameters making it even more stable than Version 1.0

  • It is more consistent with skin texture

  • Dataset was tweaked to properly address leaning while sitting so that subjects no longer lean back as frequently

Cons of 1.5:

  • Sometimes still ignores prompts

  • It was not able to meet many of the goals

  • Does not understand females well.

Version 1.5 is trained on:

  • Nude Male

  • Pubic hair (default is closer to a hairless body, you do not need to tag hairless but you can put pubic hair & pubes in the negative)

  • Cumming/Ejaculating Cum works well

  • Masturbating - works but the foreskin isn't well defined.

  • Inserting [object name] in foreskin

  • Inserting finger in foreskin

  • Grabbing foreskin

  • Ass/ Ass hole (example: photo of nude male's rear focusing on the ass hole)

  • Fellatio/inserting tongue in foreskin

  • Fellatio/sucking foreskin

  • Fully Retracted Foreskin

  • Partially Retracted Foreskin

  • Long foreskin - doesn't work as intended.

  • Removed Foreskin (I did not train circumcised penis)

  • Very Small/Small/(default)/Large penis (does not work well)

The greens work more consistently. Yellow works sometimes. Red rarely works as intended, but you might get a good shot or two.

Pros of 1.5:

  • Dataset was tweaked after 1.0 to fill in gaps for some concepts making them stronger

  • Drawings/illustrations were recaptioned to avoid overwriting drawing styles as hard.

  • Trained with less aggressive optimizer parameters making it even more stable than Version 1.0

Cons of 1.5:

  • It is not consistent with the skin texture. The foreskin texture should be softer.

  • subjects frequently lean back or are otherwise not vertical.

  • Sometimes still ignores prompts

Version 1.0 is is trained on:

  • Nude Male

  • Inserting [object name] in foreskin.

  • Masturbating

  • Cumming/ Ejaculating cum

  • Inserting finger in foreskin

  • Grabbing foreskin

  • Fellatio/ Inserting tongue in foreskin

  • Fellatio/ sucking foreskin

    Going from green to red, the understanding gets worse

Cons of 1.0:

  • Drawing styles were overwritten by my illustration style

Example Settings:

  • Sampler: Res_2s

  • Scheduler: beta57 (download RES4LYF nodes then close fully & restart comfyui)

  • Steps - 8-12

  • CFG - 1-2

  • Shift - 3-5

  • Lora Strength - .7-1.0

  • Sampler: Euler

  • Scheduler: Normal (my examples use \"simple\" but i think normal gives much better results)

  • Steps: 8-12

  • Cfg: 1.5 (may go down to 1 for speed)

  • Shift: 3.5

  • Lora Strength: 1.0

The original version prior to 1.0 is just a prototype! I no longer recommend using it because it does not behave consistently.

  • My first version is a prototype. I used ~1200 images but I believe they were poorly captioned, so the resulting images are kind of mid to low adherance to prompts.

  • My first version is overtrained. You will need to set the lora weight lower to like .5-.75.

  • My first version does not work well with Anime. I decided to test the anime images I tagged for Noob/Illustrious training. It did understand some of the concepts but it adheres to them poorly and has failed to properly capture the anime style.

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Centered on the PCB in raised, mirror-polished chrome 3D lettering: \"Mystic XXX ZIT\" (large, bold sans-serif metallic text with sharp bevels and perfect reflections) directly below in smaller but equally shiny glowing gold letters: \"V3\" Four thick, broken steel chains (photorealistic metal texture, realistic links and rust details) enter from the frame edges and dramatically snap apart around the module, broken links frozen mid-explosion with motion blur and flying shards, subtle sparks catching the light. Cool cyan rim lighting from the sides, warm golden key light from top-left highlighting every metallic edge and reflection, shallow depth of field with razor-sharp focus on the text and broken chain fragments, cinematic anamorphic lens flare, ultra-clean high-end product photography aesthetic, dark moody atmosphere, 8K detail on metal grain and chrome reflections. On the background add a large woman black silhouette with green matrix symbols on her body.", + "denoise": 1, + "sampler": "DPM++ 2S a", + "cfgScale": 1, + "scheduler": "FlowMatchEulerDiscreteScheduler", + "negativePrompt": "blurry ugly bad", + "additionalResources": [ + { + "name": "ZIT/Mystic-XXX-ZIT-v3.safetensors", + "type": "lora", + "strength": 1 + } + ] + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/z-image/lora/[ZIT] Mystic XXX/extra_data-vid_2530056/model_dict-mid_2206377-vid_2530056.json b/z-image/lora/[ZIT] Mystic XXX/extra_data-vid_2530056/model_dict-mid_2206377-vid_2530056.json new file mode 100644 index 0000000000000000000000000000000000000000..d8e49af12c19678797a71a1e39c09ce81277f78b --- /dev/null +++ b/z-image/lora/[ZIT] Mystic XXX/extra_data-vid_2530056/model_dict-mid_2206377-vid_2530056.json @@ -0,0 +1,914 @@ +{ + "id": 2206377, + "name": "[ZIT] Mystic XXX", + "description": "

On ComfyUI version: 0.3.76+ use V3

ATENTION V2 AND V1 ARE BUGGED ON NEWER VERSIONS OF COMFYUI
After a lot of tests I got the version that gives the exact result I posted in my examples. ComfyUI version: 0.3.75

I noted that this version does not load some lora layers and this lora works a lot better on this version. So I'll muted this layers on V3 and it's working.

Unlocks XXX on Z Image Turbo

", + "allowNoCredit": true, + "allowCommercialUse": "{Image,RentCivit,Rent,Sell}", + "allowDerivatives": true, + "allowDifferentLicense": true, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": true, + "nsfwLevel": 60, + "availability": "Public", + "userId": 1501507, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 10665, + "thumbsUpCount": 652, + "thumbsDownCount": 1, + "commentCount": 56, + "tippedAmountCount": 1906 + }, + "creator": { + "username": "alcaitiff", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/29be052e-973a-4f52-9aa3-3c567478811f/width=96/alcaitiff.jpeg" + }, + "tags": [ + "concept", + "porn", + "penis", + "semen", + "nipples", + "woman", + "sex", + "breasts" + ], + "modelVersions": [ + { + "id": 2530056, + "index": 0, + "name": "v3.0", + "baseModel": "ZImageTurbo", + "baseModelType": "Standard", + "createdAt": "2025-12-23T15:51:46.426Z", + "publishedAt": "2025-12-23T15:53:20.154Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "description": "

This version fixes the issues present in v2 when used with newer versions of ComfyUI. Starting from version 0.3.75, the LoRA v1 and v2 became incompatible and no longer work as intended; they only function correctly on earlier versions.

This v3 release resolves the problem by muting the incompatible LoRA layers. I apologize for the inconvenience caused by this issue, and thank you for your understanding.

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Pokies/CrunchyBanana_ZIT_Pokies_V1-mid_2215040-vid_2493795.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:03e7954607cdeb3bf2b3a24cff8f3d6f0fc19bf6eaf3a67558844ac82959872e +size 16725012 diff --git a/z-image/lora/[ZIT] Nipple Pokies/extra_data-vid_2493795/model_dict-mid_2215040-vid_2493795.json b/z-image/lora/[ZIT] Nipple Pokies/extra_data-vid_2493795/model_dict-mid_2215040-vid_2493795.json new file mode 100644 index 0000000000000000000000000000000000000000..20948836a38327f268c177455b265bb0485d95f0 --- /dev/null +++ b/z-image/lora/[ZIT] Nipple Pokies/extra_data-vid_2493795/model_dict-mid_2215040-vid_2493795.json @@ -0,0 +1,365 @@ +{ + "id": 2215040, + "name": "[ZIT] Nipple Pokies", + "description": "

There's still no pokie LoRA for ZIT as far as I can see.

The effect can be a bit overexaggerated, so play around with the weight.

The LoRA is not perfect (better to do it as a slider), but it works.

Should work together with other LoRAs, too.

Enjoy!

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a/z-image/lora/realcumZ/extra_data-vid_2497345/model_dict-mid_2218218-vid_2497345.json b/z-image/lora/realcumZ/extra_data-vid_2497345/model_dict-mid_2218218-vid_2497345.json new file mode 100644 index 0000000000000000000000000000000000000000..379ee07eb736f4752cd4a8089b8f07cc93b8d489 --- /dev/null +++ b/z-image/lora/realcumZ/extra_data-vid_2497345/model_dict-mid_2218218-vid_2497345.json @@ -0,0 +1,172 @@ +{ + "id": 2218218, + "name": "realcumZ", + "description": "

Hi again,

This is my first approach to LoRa Training on Zimage deturbo. Is still in alpha stage and I will improve it when the full Zimage model is publish.

This LoRa is a bit overtrained so keep the weight between 0.8-1.0. 0.9 works reasonably well. I use res_2s sampler and beta scheduler but fell free to experiment with it. Trigger Word: cum on face

example prompt:

((cum on face)). pov photo of a Italian  woman age 20 with cum on face , on her knees in the bedroom floor wearing a blouse.casual amateur photo of her face taken from above with natural light.

Have fun!

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Big Love Z is a fine-tune of Z-Image-Turbo on a subset of the Big Love dataset. It produces a more photorealistic look, more diverse faces and better skin (with the right prompt and seed). You can run it locally with ComfyUI and Forge Neo as well as online on Tensor Art and Civitai (if you bid for it). The fp8 version produces more noise thus may sometimes look more realistic, but details are not as good. Most of the showcase images have a ComfyUI txt2img workflow embedded. The rest offers Forge Neo metadata.

Settings:
8 steps, cfg1, Euler sampler, Normal or Simple scheduler, 832x1216, 1024x1536 or 1280x1920

Download (on the right):
With 12+ GB VRAM: bf16 version
With 8 GB VRAM: fp8 Version
Place it in the Diffusion Models (ComfyUI) or Stable Diffusion (Forge Neo) sub folder.

Additionally you need:
With 12+ GB VRAM: qwen3_4b.safetensors
With 8 GB VRAM: qwen3-4B-fp8.safetensors
With any VRAM: ae.saftendors
Place them in the text_encoder and VAE sub folders.

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Big Love ZT1 is a fine-tune of Z-Image-Turbo on a subset of the Big Love dataset. It produces a more photorealistic look, more diverse faces and better skin (with the right prompt and seed). Still experimental.

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b/z-image/model/ZittingOnADonutMix/extra_data-vid_2525110/model_dict-mid_2243065-vid_2525110.json @@ -0,0 +1,280 @@ +{ + "id": 2243065, + "name": "ZittingOnADonutMix", + "description": "

Good for softcore porn, block merged using Big-Love-Z and ZIT. Applied some block weighted loras to make it sexier and remove asian bias.

Thanks for @SubtleShader for https://civitai.com/models/2196857/big-love-z

@luisa_pinguin for sliders

@aip0pp for https://civitai.com/models/2174081

Join Discord for help and sharing results: https://discord.gg/3wdGXUydHF

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This is the same merge as 1.0 with no loras attached.

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