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klein-9b/lora/BFS - Best Face Swap/extra_data-vid_2610018/model_dict-mid_2027766-vid_2610018.json

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+{
+  "id": 2027766,
+  "name": "BFS - Best Face Swap",
+  "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><p><strong>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.</strong></p><p></p><p><strong>Important Note: </strong>If you are going to use <strong>Qwen Image Edit 2511</strong>, <strong>update your comfyui </strong>before anything else, because without it you may have problems with completely distorted or ugly images.</p><p></p><p><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></p><p></p><p><strong>Workflows:</strong><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><strong>My Custom Lightning LoRA:</strong></p><p><a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/2284156\">Custom Lightning - Qwen Image Edit - 2511 | Qwen LoRA | Civitai</a></p><p><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/Alissonerdx/CustomLightning\">Alissonerdx/CustomLightning · Hugging Face</a></p><p><strong>Test V3 here:</strong></p><p><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/spaces/Alissonerdx/BFS-Best-Face-Swap\"><strong>BFS Best Face Swap - a Hugging Face Space by Alissonerdx</strong></a></p><p><strong>Face Swap Video Tests (V1):</strong><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>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.</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></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> 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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+    "concept",
+    "person",
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+      "index": 0,
+      "name": "LTX-2 -  V1 Focus Head",
+      "baseModel": "LTXV2",
+      "baseModelType": "Standard",
+      "createdAt": "2026-02-02T18:38:11.447Z",
+      "publishedAt": "2026-02-02T20:50:29.170Z",
+      "status": "Published",
+      "availability": "Public",
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+      "description": "<p>This model is the result of 3 weeks of non-stop R&amp;D and infinite testing of <strong>IC-LoRA</strong> for LTX-2. To achieve this, I <strong>heavily modified the official LTX-2 training scripts</strong>, adding novel conditioning methods and a complete overhaul of the noise scheduling logic (**custom High-Noise Power Law distribution**) to force the model to prioritize target identity over the guide video's context. I went through dozens of iterations, resulting in over 300GB of experimental files and 60+ hours of training on <strong>NVIDIA RTX PRO 6000 Blackwell</strong> GPUs.</p><p><strong>Dataset Specifications:</strong></p><p>* <strong>Data:</strong> 300 high-quality head swap video pairs.</p><p>* <strong>Base Resolution:</strong> Trained on <strong>512x512</strong> buckets.</p><p>* <strong>Aspect Ratio:</strong> Primarily <strong>Landscape</strong> data. Horizontal videos will likely yield significantly better results than portrait ones.</p><p>* <strong>Framing:</strong> Optimized for <strong>Close-ups</strong> (face near the camera). Wide shots may result in lower identity fidelity.</p><p><strong>Inference &amp; Tuning Tips:</strong></p><p>* <strong>Custom Workflow Required:</strong> You <strong>MUST</strong> use my custom workflow. It expects a video where <strong>Frame 0</strong> has already been face-swapped (even a rough cutout works) to act as the identity anchor. I suggest using my previous <strong>BFS Image Models</strong> to prepare Frame 0.</p><p>* <strong>LoRA Strength Tuning:</strong></p><p>* <strong>Strength 1.0:</strong> Best for motion fidelity. Keeps the movement as close as possible to the guide video.</p><p>* <strong>Strength &gt; 1.0:</strong> Improves hair capture and identity from Frame 0 but causes the model to deviate from the guide video's original motion.</p><p>* <strong>Multi-pass Workflows:</strong> You can try to improve results by creating <strong>multi-pass workflows</strong>, running the LoRA at different strengths to refine the output.</p><p>* <strong>Prompting:</strong> Detailed prompts currently have <strong>no effect</strong>. The LoRA was trained with a single unique trigger and does not respond to scene or subject descriptions yet.</p><p><strong>Known Issues (Alpha Release):</strong></p><p>* <strong>Identity Leakage:</strong> The model may occasionally default back to the original hair from the guide video.</p><p>* <strong>Hard Cuts:</strong> Jump cuts break the temporal attention chain. If a character disappears and reappears, the model might \"reset\" to the original guide video features.</p><p>Workflow Link: <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/Alissonerdx/BFS-Best-Face-Swap-Video/blob/main/workflows/workflow_ltx2_head_swap_drag_and_drop.json\">workflows/workflow_ltx2_head_swap_drag_and_drop.json · Alissonerdx/BFS-Best-Face-Swap-Video at main</a></p><p><strong>Future &amp; Support:</strong></p><p>I still have many other trained versions to test. If I find an iteration that performs better than this one, I will release it here. Maintaining R&amp;D and renting Blackwell GPUs is expensive—if you find this LoRA useful, please consider a donation. Every bit helps!</p><p>👉 <strong>Donate here:</strong> <a target=\"_blank\" rel=\"ugc\" href=\"https://buymeacoffee.com/nrdx\">https://buymeacoffee.com/nrdx</a></p>",
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klein-9b/lora/Erect Penis Model (Klein 9B)/extra_data-vid_2655291/model_dict-mid_2360918-vid_2655291.json

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