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wan2.2-Remix
FX-FeiHou/wan2.2-Remix
wan2.2-Remix is a machine learning model from FX-FeiHou. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for wan2.2. The card lists the license as other.
<!DOCTYPE html <html lang="en" <head <meta charset="UTF-8" <meta name="viewport" content="width=device-width, initial-scale=1.0" <titleWan2.2-Remix Model Overview</title </head <body
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At a glance
- Library
- wan2.2
- License
- other
- Access
- Public
- Created
- Sep 28, 2025
- Updated
- Mar 24, 2026
- SHA
- 4369125a
Base models
Model card
From the Hugging Face model README
<!DOCTYPE html>
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<title>Wan2.2-Remix Model Overview</title>
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<section>
<h2>Model Overview — Wan2.2-Remix</h2>
You can click on the link below and try it out directly. If the effect is good, you can deploy it locally.
<!-- 在线工作流链接 -->
<p style="font-size:18px; font-weight:bold; color:#d6336c; margin-bottom:12px;">
Online Workflow: <strong>Wan2.2 Remix i2v 3.0 Image-to-Video Automatic Reverse</strong><br/>
Experience here: <a href="https://www.runninghub.ai/post/2033536710499373058/?inviteCode=rh-v1325" target="_blank" style="color:#1a73e8;">https://www.runninghub.ai/post/2008833586203463682/?inviteCode=rh-v1325</a>
</p>
<p style="font-size:18px; font-weight:bold; color:#d6336c; margin-bottom:12px;">
Online Workflow: <strong>Online Workflow: Wan2.2 Remix I2V v2.1 SVI2Pro Fully Automatic Reverse Long Video</strong><br/>
Experience here: <a href="https://www.runninghub.ai/post/2008833586203463682/?inviteCode=rh-v1325" target="_blank" style="color:#1a73e8;">https://www.runninghub.ai/post/2008833586203463682/?inviteCode=rh-v1325</a>
</p>
<p style="font-size:18px; font-weight:bold; color:#d6336c; margin-bottom:12px;">
Online Workflow: <strong>Wan2.2-Remix-I2V-Comfy-Qwen3</strong><br/>
Experience here: <a href="https://www.runninghub.ai/post/1986632318448267265/?inviteCode=rh-v1325" target="_blank" style="color:#1a73e8;">https://www.runninghub.ai/post/1986632318448267265/?inviteCode=rh-v1325</a>
</p>
<p style="font-size:18px; font-weight:bold; color:#d6336c; margin-bottom:12px;">
Online Workflow: <strong>Wan2.2-Remix-T2V-v2.0 text-to-video workflow </strong><br/>
Experience here: <a href="https://www.runninghub.ai/post/1991533843182264322/?inviteCode=rh-v1325" target="_blank" style="color:#1a73e8;">https://www.runninghub.ai/post/1991533843182264322/?inviteCode=rh-v1325</a>
</p>
Fan benefits, register to get 1000 points, daily login 100 points, play 4090! Experience the super power of 48G!
<hr/>
<p>
<strong>Wan2.2-Remix</strong> is a <strong>research and creative model</strong> built to generate <strong>short, cinematic video clips</strong> directly from text prompts.
It focuses on <strong>human dynamics, realistic motion,</strong> and <strong>scene consistency</strong>, producing lifelike movement and smooth transitions without requiring LoRA setup.
</p>
<p>
This model already includes <strong>NSFW</strong> capabilities, enabling the generation of high-quality NSFW-themed videos without the need for additional LoRA.
</p>
<ul>
<li><strong>High-noise model T2V:</strong> <a href="https://huggingface.co/lightx2v/Wan2.2-Lightning/tree/main/Wan2.2-T2V-A14B-4steps-250928-dyno" target="_blank" rel="noopener">Lightx2v Wan2.2 Lightning dyno version</a> (quantized to <strong>fp8</strong>)</li>
<li><strong>High-noise model I2V:</strong> <a href="https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/tree/main/split_files/diffusion_models" target="_blank" rel="noopener">Comfy-Org Wan 2.2 ComfyUI Repackaged</a> (fp16, quantized to <strong>fp8</strong>)</li>
<li><strong>Low-noise model:</strong> <a href="https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/tree/main/split_files/diffusion_models" target="_blank" rel="noopener">Comfy-Org Wan 2.2 ComfyUI Repackaged</a> (quantized to <strong>fp8</strong>)</li>
<li><strong>Enhancements:</strong> Blended with open-source motion LoRA data and refined pose training for enhanced realism, anatomical precision, and gesture diversity.</li>
<li><strong>Integration:</strong> Fully compatible with <a href="https://huggingface.co/lightx2v/Wan2.2-Lightning" target="_blank" rel="noopener"><strong>lightx2v</strong></a>, no extra setup required.</li>
<li><strong>Recommended CLIP:</strong> <a href="https://huggingface.co/NSFW-API/NSFW-Wan-UMT5-XXL/tree/main" target="_blank" rel="noopener">NSFW-Wan-UMT5-XXL</a></li>
</ul>
<p>This model is currently in <strong>beta</strong>. It’s functional and improving—feedback is welcome!</p>
</section>
<hr/>
<section>
<h2>Changelog</h2>
<h4>I2V v3.0</h4>
<ul>
<li>Added VBVR LoRA to enhance spatial understanding and improve scene consistency.</li>
<li>Introduced UnifiedReward optimization to improve overall video quality and generation stability.</li>
<li>Adjusted several NSFW LoRAs to improve quality and visual consistency in NSFW scenes.</li>
<li>This version is considered the final release of the Remix I2V series.Unless there are major technological breakthroughs in the future, no further updates are planned.</li>
</ul>
<hr style="margin:20px 0; border:1px dashed #aaa;"/>
<h4>I2V 2.1</h4>
<ul>
<li>Enhance facial consistency in long videos</li>
<li>Adjust LoRA ratio to make video dynamics more realistic</li>
</ul>
<hr style="margin:20px 0; border:1px dashed #aaa;"/>
<h4>T2V 2.0</h4>
<ul>
<li>Optimized <strong>character stability</strong> in generated videos, reducing jitter and unwanted motion artifacts</li>
<li>Enhanced <strong>video detail</strong> for more visually rich scenes</li>
<li>Added <strong>dynamic motion effects</strong> to improve realism and cinematic impact</li>
<li>Updated <strong>base model</strong> to original Wan2.2 version to minimize differences across random seeds</li>
</ul>
<hr style="margin:20px 0; border:1px dashed #aaa;"/>
<h4>I2V 2.0</h4>
<ul>
<li>Significantly enhanced <strong>character motion and poses</strong> for more dynamic animations</li>
<li>Greatly improved <strong>camera movement and cinematic framing</strong></li>
<li>Optimized <strong>NSFW content weighting</strong> to reduce jitter in generated videos when producing SFW scenes</li>
<li>Enhanced <strong>explosions and particle effects</strong> for more impactful visuals</li>
<li><strong>SFW version will no longer receive updates</strong></li>
</ul>
<hr style="margin:20px 0; border:1px dashed #aaa;"/>
<h4>I2V 0.8</h4>
<ul>
<li>Updated <a href="https://huggingface.co/lightx2v/Wan2.2-Lightning" target="_blank" rel="noopener"><strong>lighting acceleration</strong> module to <strong>Wan2.1 version</strong></a>, fixing slow-motion character issues</li>
<li>Integrated over <strong>20 open-source LoRAs</strong> and <strong>10 custom-trained LoRAs</strong> to enhance motion dynamics</li>
<li>Removed several <strong>low-quality LoRAs</strong> to improve overall visual fidelity</li>
</ul>
<hr style="margin:20px 0; border:1px dashed #aaa;"/>
<h4>I2V 0.6</h4>
<ul>
<li>Enhanced <strong>walking, dancing, and running</strong> movements</li>
<li>Improved <strong>overall motion coherence</strong></li>
<li>Introduced <strong>gesture-rich motion set</strong></li>
</ul>
<hr style="margin:20px 0; border:1px dashed #aaa;"/>
<h4>T2V 1.0</h4>
<ul>
<li>Reduced <strong>dyno weighting</strong> to improve stability across different random seeds</li>
<li>Added more <strong>Asian facial datasets</strong> for greater diversity</li>
<li>Enhanced <strong>character motion dynamics</strong> for fluid animation</li>
<li>Improved <strong>motion amplitude, gesture diversity</strong>, and overall visual quality</li>
</ul>
<hr style="margin:20px 0; border:1px dashed #aaa;"/>
<h4>T2V 0.9</h4>
<ul>
<li>High-noise T2V model: <strong>Lightx2v Wan2.2 Lightning dyno version</strong> (fp8)</li>
<li>High-noise I2V model: <strong>Comfy-Org Wan 2.2 ComfyUI Repackaged</strong> (fp16, fp8 quantized)</li>
<li>Low-noise model: <strong>Comfy-Org Wan 2.2 ComfyUI Repackaged</strong></li>
<li>Refined <strong>character motion blending</strong> for smoother transitions</li>
<li>Enhanced <strong>anatomical articulation and natural body flow</strong></li>
</ul>
</section>
</body>
</html>
- Library
- wan2.2
- License
- other
- Created
- Sep 28, 2025
- Updated
- Mar 24, 2026