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+{
+  "id": 2027766,
+  "name": "BFS - Best Face Swap (Qwen Image Edit 2509)",
+  "description": "<p>The <strong>BFS (Best Face Swap)</strong> LoRA series was developed for <strong>Qwen Image Edit 2509</strong>, specialized in <strong>high-fidelity face and head replacement</strong> tasks with natural tone blending and consistent lighting.</p><p>Each version builds upon the previous one:</p><ul><li><p><strong>🧠 Focus Faces:</strong> precise <strong>face swaps</strong>, keeping the original head shape and hair while transferring facial identity and expression.</p></li><li><p><strong>🧩 Focus Head:</strong> stronger <strong>head swaps</strong>, replacing the full head (including hair and pose orientation).</p></li><li><p><strong>The 2 versions complement each other, one is focused on face swapping and the other is focused on head swapping.</strong></p></li></ul><h2 id=\"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.\"><strong>[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.</strong></h2><p><br /><a target=\"_blank\" rel=\"ugc\" href=\"https://buymeacoffee.com/nrdx\"><strong>If this model was helpful to you in any way, please consider helping me continue creating more model for the price of a coffee.</strong></a><br /><br />Workflows:<br /><a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/articles/20190/headface-swap-workflow-qwen-image-edit-2509\">Head/Face Swap Workflow - Qwen-Image-Edit-2509 | Civitai</a></p><p></p><p>Face Swap Video Tests (V1):<br /><a target=\"_blank\" rel=\"ugc\" href=\"https://www.youtube.com/watch?v=3CoK4pDl-TE\">Face Swap - Qwen Image Edit 2509 (English)</a></p><p></p><p><strong>About Flux 2:</strong></p><p><strong>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.</strong></p><p></p><p><strong>Try with CFG: 8.0</strong><br /></p><p><strong>PERSONAL NOTES:</strong></p><p>The <strong>swap quality</strong> will always depend heavily on the <strong>quality of your input images</strong>. Larger, clean images with <strong>little noise or compression artifacts</strong> generally produce the best results. Keep in mind that the <strong>model always follows the quality of the body image</strong>, since it becomes the <strong>final rendered frame</strong>—so even if the face source is high-quality, a low-resolution or noisy body image will limit the outcome.</p><p>Most of the images I generate are created <strong>without using the LightX2V lighting LoRA</strong>, since I noticed that enabling it tends to make the <strong>skin appear more plastic-like and reddish</strong>, 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.</p><p>In short, <strong>using LightX2V makes the model less versatile</strong> because it operates with a <strong>fixed CFG value of 1.0</strong>. So before assuming it “didn’t work,” I recommend first testing the <strong>workflow I published without LightX2V</strong> to compare the results.</p><p>If you’re getting results with <strong>too much contrast, overly strong colors, or plastic-like textures</strong> while using <strong>LightX2V’s lightning models</strong>, try reducing the number of inference steps. For example, if you’re using the <em>Qwen Image Edit 2509 Lightning (8 steps)</em> model, try running it with <strong>4 steps instead</strong>. The excessive contrast often comes from running too many steps while CFG remains fixed at 1.0.</p><p>If you encounter similar issues <strong>without</strong> using the lighting LoRA, try lowering the steps as well—e.g., from 20 down to around 16 or fewer—and <strong>reduce CFG</strong> to values like <strong>1.2 or 1.5</strong>, which can help produce smoother, more natural results.</p><p>Another important detail: in images where the <strong>body is positioned farther from the camera</strong>, the <strong>face region becomes smaller</strong>, which can <strong>reduce swap accuracy and overall quality</strong>. 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 <strong>older workflow</strong>, which automatically <strong>crops the face region from the body image and performs an inpainting-like process</strong> to improve results in distant or small-face compositions.</p><p>Finally, if you notice <strong>loss of similarity</strong> between faces or poses—especially when the reference and target images differ significantly in aesthetics or angles—try <strong>increasing the strength of your head swap LoRA</strong> slightly (for instance, to <strong>1.2 or 1.3</strong>) to restore consistency.</p><p></p><hr /><h2 id=\"bfs-&quot;focus-faces&quot;\">⚙️ BFS — “Focus Faces”</h2><p>Trained on <strong>240 image triplets</strong> (face, body, and result),<br />with a <strong>LoRA rank of 16 → later increased to 32</strong>,<br />and <strong>gradient accumulation = 2</strong>, running for <strong>5500 steps</strong> on an <strong>NVIDIA L40S GPU</strong>.</p><p>This version produces <strong>stable and detailed face swaps</strong>, preserving <strong>expression, lighting, and gaze direction</strong> while maintaining the body’s natural look.</p><hr /><h3 id=\"model-notes\">🔧 Model Notes</h3><ul><li><p><strong>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.</strong></p></li></ul><ul><li><p><strong>Quantization:</strong> not guaranteed to work below <strong>FP8</strong> (avoid GGUF Q4).</p></li><li><p><strong>Face mask:</strong> optional — remove if MediaPipe or Planar Overlay cause issues.</p></li><li><p><strong>Pose conditioning:</strong> use <strong>MediaPipe Face Mesh or DWPose </strong>if you need more alignment control.</p></li><li><p><strong>Lightning LoRA:</strong> may produce <strong>plastic-like skin</strong>, especially when mixed with other Qwen-based LoRAs.</p></li></ul><hr /><h3 id=\"recommended-settings\">⚙️ Recommended Settings</h3><p><strong>Samplers:</strong></p><ul><li><p><code>er_sde + beta57 / kl_optimal / ddim_uniform</code> <em>(</em><strong><em>best results)</em></strong></p></li><li><p><code>ddim + ddim_uniform (sometimes most realistic)</code></p></li><li><p><code>res_2s + beta57</code></p></li></ul><p><strong>Don't get attached to one setting, sometimes if it doesn't work well with one, switch to another.</strong></p><p><strong>Precision:</strong></p><ul><li><p>🧠 <strong>Best:</strong> <code>fp16</code></p></li><li><p>⚙️ <strong>Recommended:</strong> <code>gguf q8</code> or <code>fp8</code></p></li><li><p>⚠️ <strong>Below fp8:</strong> noticeable degradation</p></li></ul><p><strong>Inference Tips:</strong></p><ul><li><p>With <strong>Qwen Image Edit 2509 Lightining LoRA</strong> → use <strong>4 / 8 steps</strong> for fast generation.</p></li><li><p>Without it → use <strong>12–20 steps</strong>, <strong>CFG 1.0–2.5</strong> for realism.</p></li></ul><hr /><h2 id=\"bfs-&quot;focus-head&quot;\">🧬 BFS — “Focus Head”</h2><p>The <strong>“Focus Head”</strong> version was trained as a <strong>continuation of Focus Face</strong>, extending the dataset and shifting focus toward <strong>full head swaps</strong>.</p><p>It was trained on a <strong>NVIDIA RTX 6000 PRO</strong>, <strong>rank 32</strong>, for <strong>12,000 steps</strong>, using <strong>628 image pairs</strong> (face, body, target, and sometimes pose maps generated via MediaPipe).</p><h3 id=\"training-phases\">🔹 Training Phases</h3><ol><li><p><strong>Standard Face Swap</strong> – same Focus Face, focusing on facial identity.</p></li><li><p><strong>Pose-Conditioned Face Swap</strong> – added pose maps to align gaze and head angle.</p></li><li><p><strong>Full Head Swap</strong> – replaced the entire head (including hair) for stronger identity control.</p></li></ol><p>After ~2000 steps, the focus moved toward <strong>head swap refinement</strong>.<br />At ~4000 steps, the dataset was narrowed to <strong>perfect skin-tone matches</strong>, and by the end of training,<br />the dataset evolved from <strong>628 → 138 → 76</strong> high-quality samples for final fine-tuning.</p><p>⚠️ <strong>Note:</strong><br />While Focus Face can still perform <strong>standard face swaps</strong>, it’s <strong>more naturally inclined toward full head swaps</strong> due to its data balance.<br />This was intentional in part, but also a side-effect of dataset distribution and mixed conditioning.</p><hr /><h3 id=\"important-notice\">⚠️ Important Notice</h3><p>Do <strong>not</strong> use or share results involving <strong>real people, celebrities, or public figures</strong>.<br />Civitai’s moderation may disable posts that violate likeness or consent rules.<br />This model is intended <strong>only for artistic and fictional characters</strong>, <strong>educational use</strong>, and <strong>AI experimentation</strong>.</p><p>I take <strong>no responsibility</strong> for any misuse of this model. Please use it responsibly and <strong>respect all likeness rights</strong>.</p>",
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+    "qwen",
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+    "qwen image edit",
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+      "name": "QIE - V4 Focus Head",
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+      "description": "<p>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.<br /><br />All examples posted were made using QIE 2511.<br /></p>",
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+        "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"
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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. 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\": 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+    "comfy": "{\"prompt\": {\"3\": {\"inputs\": {\"seed\": 936884143441650, \"steps\": 20, \"cfg\": 2.5, \"sampler_name\": \"er_sde\", \"scheduler\": \"kl_optimal\", \"denoise\": 1.0, \"model\": [\"75\", 0], \"positive\": [\"459\", 0], \"negative\": [\"460\", 0], \"latent_image\": [\"88\", 0]}, \"class_type\": \"KSampler\", \"_meta\": {\"title\": \"KSampler\"}}, \"8\": {\"inputs\": {\"samples\": [\"3\", 0], \"vae\": [\"39\", 0]}, \"class_type\": \"VAEDecode\", \"_meta\": {\"title\": \"VAE Decode\"}}, \"38\": {\"inputs\": {\"clip_name\": \"qwen_2.5_vl_7b_fp8_scaled.safetensors\", \"type\": \"qwen_image\", \"device\": \"default\"}, \"class_type\": \"CLIPLoader\", \"_meta\": {\"title\": \"Load CLIP\"}}, \"39\": {\"inputs\": {\"vae_name\": \"qwen_image_vae.safetensors\"}, \"class_type\": \"VAELoader\", \"_meta\": {\"title\": \"Load VAE\"}}, \"66\": {\"inputs\": {\"shift\": 3.0, \"model\": [\"455\", 0]}, \"class_type\": \"ModelSamplingAuraFlow\", \"_meta\": {\"title\": \"ModelSamplingAuraFlow\"}}, \"75\": {\"inputs\": {\"strength\": 1.0, \"model\": [\"66\", 0]}, \"class_type\": \"CFGNorm\", \"_meta\": {\"title\": \"CFGNorm\"}}, \"78\": {\"inputs\": {\"image\": \"692b92fe81b3109f9e614e2e8cca1431.jpg\"}, \"class_type\": \"LoadImage\", \"_meta\": {\"title\": \"Reference Body\"}, \"is_changed\": [\"bbda83be94a64c83fd456d9108514475b64355c135e00628b22ee1fd57b61c9c\"]}, \"88\": {\"inputs\": {\"pixels\": [\"436\", 0], \"vae\": [\"39\", 0]}, \"class_type\": \"VAEEncode\", \"_meta\": {\"title\": \"VAE Encode\"}}, \"111\": {\"inputs\": {\"prompt\": \"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.\", \"clip\": [\"38\", 0], \"vae\": [\"39\", 0], \"image1\": [\"436\", 0], \"image2\": [\"435\", 0]}, \"class_type\": \"TextEncodeQwenImageEditPlus\", \"_meta\": {\"title\": \"TextEncodeQwenImageEditPlus\"}}, \"433\": {\"inputs\": {\"unet_name\": \"qwen-image-edit-2511-Q8_0.gguf\"}, \"class_type\": \"UnetLoaderGGUF\", \"_meta\": {\"title\": \"Unet Loader (GGUF)\"}}, \"435\": {\"inputs\": {\"image\": \"Generated Image September 03, 2025 - 12_50PM.jpeg\"}, \"class_type\": \"LoadImage\", \"_meta\": {\"title\": \"Reference Face\"}, \"is_changed\": [\"28f65f2e611106f95bf5bb89f995b867966004be8b843db47c3204d74bd56e18\"]}, \"436\": {\"inputs\": {\"width\": 1328, \"height\": 1328, \"upscale_method\": \"lanczos\", \"keep_proportion\": \"resize\", \"pad_color\": \"0, 0, 0\", \"crop_position\": \"center\", \"divisible_by\": 2, \"device\": \"cpu\", \"image\": [\"78\", 0]}, \"class_type\": \"ImageResizeKJv2\", \"_meta\": {\"title\": \"Resize Image v2\"}}, \"437\": {\"inputs\": {\"width\": [\"436\", 1], \"height\": [\"436\", 2], \"upscale_method\": \"lanczos\", \"keep_proportion\": \"resize\", \"pad_color\": \"0, 0, 0\", \"crop_position\": \"center\", \"divisible_by\": 2, \"device\": \"cpu\", \"image\": [\"435\", 0]}, \"class_type\": \"ImageResizeKJv2\", \"_meta\": {\"title\": \"Resize Image v2\"}}, \"438\": {\"inputs\": {\"conditioning\": [\"111\", 0]}, \"class_type\": \"ConditioningZeroOut\", \"_meta\": {\"title\": \"ConditioningZeroOut\"}}, \"439\": {\"inputs\": {\"direction\": \"down\", \"match_image_size\": true, \"image1\": [\"437\", 0], \"image2\": [\"436\", 0]}, \"class_type\": \"ImageConcanate\", \"_meta\": {\"title\": \"Image Concatenate\"}}, \"440\": {\"inputs\": {\"direction\": \"right\", \"match_image_size\": true, \"image1\": [\"439\", 0], \"image2\": [\"8\", 0]}, \"class_type\": \"ImageConcanate\", \"_meta\": {\"title\": \"Image Concatenate\"}}, \"441\": {\"inputs\": {\"filename_prefix\": \"ComfyUI\", \"images\": [\"449\", 0]}, \"class_type\": \"SaveImage\", \"_meta\": {\"title\": \"Save Image\"}}, \"449\": {\"inputs\": {\"text_x\": 10, \"text_y\": 2, \"height\": 64, \"font_size\": 32, \"font_color\": \"white\", \"label_color\": \"black\", \"font\": \"FreeMono.ttf\", \"text\": [\"450\", 0], \"direction\": \"up\", \"image\": [\"440\", 0]}, \"class_type\": \"AddLabel\", \"_meta\": {\"title\": \"Add Label\"}}, \"450\": {\"inputs\": {\"value\": \"er_sde + kl_optimal + 20 steps (Without Lightining LoRa) + CFG: 2.5, CFG Norm: 1.0, Model Sampling 3.0\"}, \"class_type\": \"PrimitiveStringMultiline\", \"_meta\": {\"title\": \"String (Multiline)\"}}, \"455\": {\"inputs\": {\"lora_name\": \"bfs_head_swap_v4.safetensors\", \"strength_model\": 1.0, \"model\": [\"433\", 0]}, \"class_type\": \"LoraLoaderModelOnly\", \"_meta\": {\"title\": \"LoraLoaderModelOnly\"}}, \"459\": {\"inputs\": {\"reference_latents_method\": \"index_timestep_zero\", \"conditioning\": [\"111\", 0]}, \"class_type\": \"FluxKontextMultiReferenceLatentMethod\", \"_meta\": {\"title\": \"FluxKontextMultiReferenceLatentMethod\"}}, \"460\": {\"inputs\": {\"reference_latents_method\": \"index_timestep_zero\", \"conditioning\": [\"438\", 0]}, \"class_type\": \"FluxKontextMultiReferenceLatentMethod\", \"_meta\": {\"title\": \"FluxKontextMultiReferenceLatentMethod\"}}}, \"workflow\": {\"id\": \"91f6bbe2-ed41-4fd6-bac7-71d5b5864ecb\", \"revision\": 1, \"last_node_id\": 460, \"last_link_id\": 744, \"nodes\": [{\"id\": 38, \"type\": \"CLIPLoader\", \"pos\": [-250, 160], \"size\": [330, 110], \"flags\": {}, \"order\": 0, \"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, \"ue_properties\": {\"version\": \"7.5.1\", 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\"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}, \"version\": \"7.5.1\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [1]}, {\"id\": 337, \"type\": \"VAELoader\", \"pos\": [-224.60242971931294, 1807.6050502007918], \"size\": [330, 60], \"flags\": {}, \"order\": 2, \"mode\": 4, \"inputs\": [], \"outputs\": [{\"name\": \"VAE\", \"type\": \"VAE\", \"slot_index\": 0, \"links\": [501, 593]}], \"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, \"ue_properties\": {\"version\": \"7.5.1\", \"widget_ue_connectable\": {}, \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"qwen_image_vae.safetensors\"]}, {\"id\": 338, \"type\": \"CLIPLoader\", \"pos\": [-224.60242971931294, 1647.6050502007934], \"size\": [330, 110], \"flags\": {}, \"order\": 3, \"mode\": 4, \"inputs\": [], \"outputs\": [{\"name\": \"CLIP\", \"type\": \"CLIP\", \"slot_index\": 0, \"links\": [510, 515]}], \"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, \"ue_properties\": {\"version\": \"7.5.1\", \"widget_ue_connectable\": {}, \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"qwen_2.5_vl_7b_fp8_scaled.safetensors\", \"qwen_image\", \"default\"]}, {\"id\": 340, \"type\": \"KSampler\", \"pos\": [785.3975702806874, 1567.6050502007934], \"size\": [300, 474], \"flags\": {}, \"order\": 38, \"mode\": 4, \"inputs\": [{\"name\": \"model\", \"type\": \"MODEL\", \"link\": 503}, {\"name\": \"positive\", \"type\": \"CONDITIONING\", \"link\": 691}, {\"name\": \"negative\", \"type\": \"CONDITIONING\", \"link\": 631}, {\"name\": \"latent_image\", \"type\": \"LATENT\", \"link\": 600}], \"outputs\": [{\"name\": \"LATENT\", \"type\": \"LATENT\", \"slot_index\": 0, \"links\": [500]}], \"properties\": {\"cnr_id\": \"comfy-core\", \"ver\": \"0.3.48\", \"Node name for S&R\": \"KSampler\", \"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\": [401763374916545, \"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, 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qwen/edit/lora/BFS - Best Face Swap (Qwen Image Edit 2509)/extra_data-vid_2530858/model_dict-mid_2027766-vid_2530858.json

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+{
+  "id": 2027766,
+  "name": "BFS - Best Face Swap (Qwen Image Edit 2509)",
+  "description": "<p>The <strong>BFS (Best Face Swap)</strong> LoRA series was developed for <strong>Qwen Image Edit 2509</strong>, specialized in <strong>high-fidelity face and head replacement</strong> tasks with natural tone blending and consistent lighting.</p><p>Each version builds upon the previous one:</p><ul><li><p><strong>🧠 Focus Faces:</strong> precise <strong>face swaps</strong>, keeping the original head shape and hair while transferring facial identity and expression.</p></li><li><p><strong>🧩 Focus Head:</strong> stronger <strong>head swaps</strong>, replacing the full head (including hair and pose orientation).</p></li><li><p><strong>The 2 versions complement each other, one is focused on face swapping and the other is focused on head swapping.</strong></p></li></ul><h2 id=\"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.\"><strong>[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.</strong></h2><p><br /><a target=\"_blank\" rel=\"ugc\" href=\"https://buymeacoffee.com/nrdx\"><strong>If this model was helpful to you in any way, please consider helping me continue creating more model for the price of a coffee.</strong></a><br /><br />Workflows:<br /><a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/articles/20190/headface-swap-workflow-qwen-image-edit-2509\">Head/Face Swap Workflow - Qwen-Image-Edit-2509 | Civitai</a></p><p></p><p>Face Swap Video Tests (V1):<br /><a target=\"_blank\" rel=\"ugc\" href=\"https://www.youtube.com/watch?v=3CoK4pDl-TE\">Face Swap - Qwen Image Edit 2509 (English)</a></p><p></p><p><strong>About Flux 2:</strong></p><p><strong>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.</strong></p><p></p><p><strong>Try with CFG: 8.0</strong><br /></p><p><strong>PERSONAL NOTES:</strong></p><p>The <strong>swap quality</strong> will always depend heavily on the <strong>quality of your input images</strong>. Larger, clean images with <strong>little noise or compression artifacts</strong> generally produce the best results. Keep in mind that the <strong>model always follows the quality of the body image</strong>, since it becomes the <strong>final rendered frame</strong>—so even if the face source is high-quality, a low-resolution or noisy body image will limit the outcome.</p><p>Most of the images I generate are created <strong>without using the LightX2V lighting LoRA</strong>, since I noticed that enabling it tends to make the <strong>skin appear more plastic-like and reddish</strong>, 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.</p><p>In short, <strong>using LightX2V makes the model less versatile</strong> because it operates with a <strong>fixed CFG value of 1.0</strong>. So before assuming it “didn’t work,” I recommend first testing the <strong>workflow I published without LightX2V</strong> to compare the results.</p><p>If you’re getting results with <strong>too much contrast, overly strong colors, or plastic-like textures</strong> while using <strong>LightX2V’s lightning models</strong>, try reducing the number of inference steps. For example, if you’re using the <em>Qwen Image Edit 2509 Lightning (8 steps)</em> model, try running it with <strong>4 steps instead</strong>. The excessive contrast often comes from running too many steps while CFG remains fixed at 1.0.</p><p>If you encounter similar issues <strong>without</strong> using the lighting LoRA, try lowering the steps as well—e.g., from 20 down to around 16 or fewer—and <strong>reduce CFG</strong> to values like <strong>1.2 or 1.5</strong>, which can help produce smoother, more natural results.</p><p>Another important detail: in images where the <strong>body is positioned farther from the camera</strong>, the <strong>face region becomes smaller</strong>, which can <strong>reduce swap accuracy and overall quality</strong>. 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 <strong>older workflow</strong>, which automatically <strong>crops the face region from the body image and performs an inpainting-like process</strong> to improve results in distant or small-face compositions.</p><p>Finally, if you notice <strong>loss of similarity</strong> between faces or poses—especially when the reference and target images differ significantly in aesthetics or angles—try <strong>increasing the strength of your head swap LoRA</strong> slightly (for instance, to <strong>1.2 or 1.3</strong>) to restore consistency.</p><p></p><hr /><h2 id=\"bfs-&quot;focus-faces&quot;\">⚙️ BFS — “Focus Faces”</h2><p>Trained on <strong>240 image triplets</strong> (face, body, and result),<br />with a <strong>LoRA rank of 16 → later increased to 32</strong>,<br />and <strong>gradient accumulation = 2</strong>, running for <strong>5500 steps</strong> on an <strong>NVIDIA L40S GPU</strong>.</p><p>This version produces <strong>stable and detailed face swaps</strong>, preserving <strong>expression, lighting, and gaze direction</strong> while maintaining the body’s natural look.</p><hr /><h3 id=\"model-notes\">🔧 Model Notes</h3><ul><li><p><strong>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.</strong></p></li></ul><ul><li><p><strong>Quantization:</strong> not guaranteed to work below <strong>FP8</strong> (avoid GGUF Q4).</p></li><li><p><strong>Face mask:</strong> optional — remove if MediaPipe or Planar Overlay cause issues.</p></li><li><p><strong>Pose conditioning:</strong> use <strong>MediaPipe Face Mesh or DWPose </strong>if you need more alignment control.</p></li><li><p><strong>Lightning LoRA:</strong> may produce <strong>plastic-like skin</strong>, especially when mixed with other Qwen-based LoRAs.</p></li></ul><hr /><h3 id=\"recommended-settings\">⚙️ Recommended Settings</h3><p><strong>Samplers:</strong></p><ul><li><p><code>er_sde + beta57 / kl_optimal / ddim_uniform</code> <em>(</em><strong><em>best results)</em></strong></p></li><li><p><code>ddim + ddim_uniform (sometimes most realistic)</code></p></li><li><p><code>res_2s + beta57</code></p></li></ul><p><strong>Don't get attached to one setting, sometimes if it doesn't work well with one, switch to another.</strong></p><p><strong>Precision:</strong></p><ul><li><p>🧠 <strong>Best:</strong> <code>fp16</code></p></li><li><p>⚙️ <strong>Recommended:</strong> <code>gguf q8</code> or <code>fp8</code></p></li><li><p>⚠️ <strong>Below fp8:</strong> noticeable degradation</p></li></ul><p><strong>Inference Tips:</strong></p><ul><li><p>With <strong>Qwen Image Edit 2509 Lightining LoRA</strong> → use <strong>4 / 8 steps</strong> for fast generation.</p></li><li><p>Without it → use <strong>12–20 steps</strong>, <strong>CFG 1.0–2.5</strong> for realism.</p></li></ul><hr /><h2 id=\"bfs-&quot;focus-head&quot;\">🧬 BFS — “Focus Head”</h2><p>The <strong>“Focus Head”</strong> version was trained as a <strong>continuation of Focus Face</strong>, extending the dataset and shifting focus toward <strong>full head swaps</strong>.</p><p>It was trained on a <strong>NVIDIA RTX 6000 PRO</strong>, <strong>rank 32</strong>, for <strong>12,000 steps</strong>, using <strong>628 image pairs</strong> (face, body, target, and sometimes pose maps generated via MediaPipe).</p><h3 id=\"training-phases\">🔹 Training Phases</h3><ol><li><p><strong>Standard Face Swap</strong> – same Focus Face, focusing on facial identity.</p></li><li><p><strong>Pose-Conditioned Face Swap</strong> – added pose maps to align gaze and head angle.</p></li><li><p><strong>Full Head Swap</strong> – replaced the entire head (including hair) for stronger identity control.</p></li></ol><p>After ~2000 steps, the focus moved toward <strong>head swap refinement</strong>.<br />At ~4000 steps, the dataset was narrowed to <strong>perfect skin-tone matches</strong>, and by the end of training,<br />the dataset evolved from <strong>628 → 138 → 76</strong> high-quality samples for final fine-tuning.</p><p>⚠️ <strong>Note:</strong><br />While Focus Face can still perform <strong>standard face swaps</strong>, it’s <strong>more naturally inclined toward full head swaps</strong> due to its data balance.<br />This was intentional in part, but also a side-effect of dataset distribution and mixed conditioning.</p><hr /><h3 id=\"important-notice\">⚠️ Important Notice</h3><p>Do <strong>not</strong> use or share results involving <strong>real people, celebrities, or public figures</strong>.<br />Civitai’s moderation may disable posts that violate likeness or consent rules.<br />This model is intended <strong>only for artistic and fictional characters</strong>, <strong>educational use</strong>, and <strong>AI experimentation</strong>.</p><p>I take <strong>no responsibility</strong> for any misuse of this model. Please use it responsibly and <strong>respect all likeness rights</strong>.</p>",
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+  },
+  "tags": [
+    "person",
+    "concept",
+    "face",
+    "swap",
+    "face swap",
+    "qwen",
+    "head swap",
+    "qwen image edit",
+    "2509"
+  ],
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+      "name": "QIE - V4 Focus Head",
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+      "createdAt": "2025-12-23T22:02:26.116Z",
+      "publishedAt": "2025-12-24T08:37:19.132Z",
+      "status": "Published",
+      "availability": "Public",
+      "nsfwLevel": 60,
+      "description": "<p>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.<br /><br />All examples posted were made using QIE 2511.<br /></p>",
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qwen/edit/lora/Qwen-Edit_Anime2Real/extra_data-vid_2396073/model_dict-mid_2110229-vid_2396073.json

@@ -0,0 +1,447 @@
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qwen/edit/lora/qwen edit 一键水彩风格/变成水彩风格-mid_2050953-vid_2321110.csv

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qwen/edit/lora/qwen edit 一键水彩风格/变成水彩风格-mid_2050953-vid_2321110.safetensors

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