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+  "name": "LTX 2/2.3 [I2V] NSFW (+furry) - Multi purpose sex lora",
+  "description": "<h2 id=\"about-the-merge-versions\">About the merge versions</h2><p>The merge versions have both versions of the LoRA combined into a larger LoRA. With differing strengths.</p><p>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)</p><p>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.</p><p></p><p>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). 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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.</p><p>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.</p><p>None of the outputs during training had the issues I had when running the model without distil, so it's probably a user issue.</p><h3 id=\"about-t2v\">About T2V</h3><p>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.</p><p></p><h2 id=\"original-info\">Original info</h2><p>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 <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/1501763/furry-nsfw-wan-21-14b-img2vid-and-nsfw-motion-in-general\">Wan furry loras</a>.</p><p>This lora should be capable of producing both furry and non-furry NSFW content with audio.</p><p>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.</p><p>Examples are generated with nvfp4 dev model with distil lora, using my <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/GitMylo/LTX-2-comfy_gemma_fp8_e4m3fn/blob/main/gemma_3_12B_it_nvfp4_uncalibrated.safetensors\">uncalibrated nvfp4 text encoder</a>.</p><h3 id=\"supported-styles\">Supported styles</h3><p>Supports 2d, 3d and realistic styles for image to video. Text to video is largely untested but likely not going to be great.</p><h3 id=\"keywords\">Keywords</h3><p>Keywords such as \"anthro\", \"furry\", and \"anthropomorphic\" can be used to specify</p><p>(Written before training finished)</p><h3 id=\"not-good-for-t2v-use-i2v\">Not good for T2V, use I2V</h3><h2 id=\"i2v:\">I2V:</h2><p>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\".</p><h3 id=\"foley:\">Foley:</h3><p>LTX 2 can be used to create foley audio, meaning audio added to an existing video, this lora will work very well for this. [<a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/2315986\">Workflow</a>]</p><p></p><h3 id=\"text-encoder-info\">Text encoder info</h3><p>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.</p><p>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.</p><p>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.</p><p></p><h3 id=\"lora-info\">Lora info</h3><p>This lora was trained on a dataset with varied content (2d, 3d and for human content irl), on a dataset consisting of &gt;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.</p><p>The lora is rank 64, affecting the full Attention + Feed forward parts of the network, and training with sound enabled.</p><p>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.</p><p>Trained using <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/GitMylo/LTX-2-comfy_gemma_fp8_e4m3fn/blob/main/gemma_3_12B_it_nvfp4_uncalibrated.safetensors\">the official ltx 2 trainer</a>.</p><p></p><h3 id=\"want-to-support-future-training\">Want to support future training?</h3><p>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.</p>",
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ltx23/lora/LTX 2&2.3 [I2V] NSFW (+furry) - Multi purpose sex lora/extra_data-vid_2783583/model_dict-mid_2310920-vid_2783583.json

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+  "name": "LTX 2/2.3 [I2V] NSFW (+furry) - Multi purpose sex lora",
+  "description": "<h2 id=\"about-the-merge-versions\">About the merge versions</h2><p>The merge versions have both versions of the LoRA combined into a larger LoRA. With differing strengths.</p><p>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)</p><p>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.</p><p></p><p>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.</p><h2 id=\"about-the-ltx-2.3-version\">About the LTX 2.3 version</h2><p>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 <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/GitMylo/nsfwvision-qwen3-vl-8b-v3-gguf\">nsfwvision v3</a> 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.</p><p>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.</p><p>None of the outputs during training had the issues I had when running the model without distil, so it's probably a user issue.</p><h3 id=\"about-t2v\">About T2V</h3><p>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.</p><p></p><h2 id=\"original-info\">Original info</h2><p>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 <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/1501763/furry-nsfw-wan-21-14b-img2vid-and-nsfw-motion-in-general\">Wan furry loras</a>.</p><p>This lora should be capable of producing both furry and non-furry NSFW content with audio.</p><p>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.</p><p>Examples are generated with nvfp4 dev model with distil lora, using my <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/GitMylo/LTX-2-comfy_gemma_fp8_e4m3fn/blob/main/gemma_3_12B_it_nvfp4_uncalibrated.safetensors\">uncalibrated nvfp4 text encoder</a>.</p><h3 id=\"supported-styles\">Supported styles</h3><p>Supports 2d, 3d and realistic styles for image to video. Text to video is largely untested but likely not going to be great.</p><h3 id=\"keywords\">Keywords</h3><p>Keywords such as \"anthro\", \"furry\", and \"anthropomorphic\" can be used to specify</p><p>(Written before training finished)</p><h3 id=\"not-good-for-t2v-use-i2v\">Not good for T2V, use I2V</h3><h2 id=\"i2v:\">I2V:</h2><p>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\".</p><h3 id=\"foley:\">Foley:</h3><p>LTX 2 can be used to create foley audio, meaning audio added to an existing video, this lora will work very well for this. [<a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/2315986\">Workflow</a>]</p><p></p><h3 id=\"text-encoder-info\">Text encoder info</h3><p>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.</p><p>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.</p><p>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.</p><p></p><h3 id=\"lora-info\">Lora info</h3><p>This lora was trained on a dataset with varied content (2d, 3d and for human content irl), on a dataset consisting of &gt;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.</p><p>The lora is rank 64, affecting the full Attention + Feed forward parts of the network, and training with sound enabled.</p><p>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.</p><p>Trained using <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/GitMylo/LTX-2-comfy_gemma_fp8_e4m3fn/blob/main/gemma_3_12B_it_nvfp4_uncalibrated.safetensors\">the official ltx 2 trainer</a>.</p><p></p><h3 id=\"want-to-support-future-training\">Want to support future training?</h3><p>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.</p>",
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ltx23/lora/LTX 2.3 - LTX2 better NSFW motion/LTX2.3-NSFWMOTION_00750-mid_2344781-vid_2778953.csv

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+  "description": "<h3 id=\"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.\"><strong>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.</strong></h3><p></p><p></p><p></p><p></p><p><strong><u>OLD LTX 2 VERSION</u></strong></p><p>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)</p><p></p><p><strong>Trigger word is g@n but honestly it works without the trigger. The workflow is embedded in the video just drag and drop</strong></p><p></p><p>I am using this workflow <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/2329764/ltxv20-uncensored-video-generation-workflownsfw\"><s>https://civitai.com/models/2329764/ltxv20-uncensored-video-generation-workflownsfw </s></a> &lt;------ 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 <strong>Load Settings From Video / Image / JSON section.</strong></p><p><br />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.</p><p><a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/2310920/ltx-2-i2v-nsfw-furry-multi-purpose-sex-lora\">https://civitai.com/models/2310920/ltx-2-i2v-nsfw-furry-multi-purpose-sex-lora</a></p><p><a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/2334739/pov-nsfw-ltx2\"><s>https://civitai.com/models/2334739/pov-nsfw-ltx2 &lt;--------</s> This one was removed by the owner not sure why. The motion lora works better with the multi purpose NSFW lora alone anyways.</a></p><p></p><p><strong>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.</strong></p>",
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ltx23/lora/Penile Praxis (General NSFW) (LTX-2) (T2V + I2V)/Penile_Praxis_V4-mid_2332473-vid_2772932.csv

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+{
+  "id": 2332473,
+  "name": "Penile Praxis (General NSFW) (LTX-2) (T2V + I2V)",
+  "description": "<h1 id=\"penial-praxis-v4.0\"><strong><u>Penial Praxis v4.0</u></strong></h1><p>Trained on both <strong>Text to Video</strong> <span style=\"color:rgb(250, 82, 82)\"><strong>(T2V)</strong></span> and <strong>Image to Video </strong><span style=\"color:rgb(250, 82, 82)\"><strong>(I2V)</strong></span><strong> </strong>for <strong><u>LTX2.3</u></strong></p><p>All showcase videos were generated with <a target=\"_blank\" rel=\"ugc\" href=\"https://github.com/deepbeepmeep/Wan2GP\">Wan2GP</a></p><p><span style=\"color:rgb(253, 126, 20)\"><strong><u>(If your having issues using this or any LoRA with your current workflow I'd recommend trying </u></strong></span><a target=\"_blank\" rel=\"ugc\" href=\"https://github.com/deepbeepmeep/Wan2GP\"><strong>Wan2GP</strong></a><span style=\"color:rgb(253, 126, 20)\"><strong><u> ).</u></strong></span></p><h3 id=\"new-features-include:\"><strong>New Features include:</strong></h3><p><strong><u>New Art Styles</u></strong></p><p><strong>🤠Cartoon</strong></p><p><span style=\"color:rgb(134, 142, 150)\">Flat or somewhat flat anime-influenced western art.</span></p><p><u>ex:</u> <em>This video is in a cartoon style.</em></p><p><strong>🍥Anime</strong></p><p><span style=\"color:rgb(134, 142, 150)\">Anime style with more depth than cartoon.</span></p><p><u>ex:</u> <em>This video is in an anime style.</em></p><p><strong>🫧Realistic Anime</strong></p><p><span style=\"color:rgb(134, 142, 150)\">Closer to 3d animation with some anime influence.</span></p><p><u>ex:</u> <em>This video is in a realistic anime style.</em></p><p></p><p></p><h2 id=\"penial-praxis-v3.1\"><u>Penial Praxis v3.1</u></h2><p>Same model as version 3 just trained to 200 epochs.</p><p>I noticed better genital details, especially on the vulva.</p><p></p><h2 id=\"penial-praxis-v3.0\"><u>Penial Praxis v3.0</u></h2><p>Trained on both <strong>Text to Video</strong> and <strong>Image to Video</strong></p><p>It more of a general NSFW Lora now.</p><h3 id=\"new-features-include:\">New Features include:</h3><p><strong>Sex/Missionary</strong></p><p><u>ex:</u> <em>a missionary sex scene between a man and a woman on a white couch. The man's penis is penetrating her vulva</em></p><p><strong>Cowgirl</strong></p><p><u>ex:</u> <em>a close-up of cowgirl sex between a woman and a man from the man's POV.</em></p><p><strong>Reverse Cowgirl</strong></p><p><u>ex:</u><em> reverse cowgirl sex scene between a man and a woman</em></p><p><strong>Doggystyle</strong></p><p><u>ex:</u> <em>doggystyle sex scene between a man and a woman</em></p><p><strong>Handjobs</strong></p><p><u>ex:</u> <em>a nude woman kneeling in front of a man giving him a handjob.</em></p><p><strong>Autofellatio/Selfsuck</strong></p><p><u>ex:</u> <em>a nude man performing autofellatio on himself. He is performing selfsuck oral sex on a his own penis.</em></p><p><strong>Boobjobs</strong></p><p><u>ex:</u> <em>A woman is giving a man a boobjob from the man's POV. The man's penis is between her breast.</em></p><p></p><p>... Also vaginas (shape still isn't perfect)</p><p></p><p>This version is at roughly 132 epochs. I will upload a 200 epoch version later if the results are good.</p><p></p><h3 id=\"penial-praxis-v2.0\"><u>Penial Praxis v2.0</u></h3><p>Trained on both <strong>Text to Video</strong> and <strong>Image to Video</strong></p><p>Penis shape still isn't perfect</p><p>New Features include:</p><p>💋<strong>Blowjobs </strong>Both Regular and from POV</p><p>💦<strong>Masturbation</strong> and <strong>Cumshots</strong></p><p>🍆Bulge in Tight Undergarments</p><p>🔊Sex Audio</p><p>... Also it work on men ♂️</p><p></p><p></p><h3 id=\"ltx-2-v1.0\"><u>LTX-2 v1.0</u></h3><p>The LoRA generates both circumcised and uncircumcised penises to mixed results.</p><p>It works on men.</p>",
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