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iPewPixels/
wan2.2-Remix

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Model Overview — Wan2.2-Remix

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

Online Workflow: Online Workflow: Wan2.2 Remix I2V v2.1 SVI2Pro Fully Automatic Reverse Long Video
Experience here: https://www.runninghub.ai/post/2008833586203463682/?inviteCode=rh-v1325

Online Workflow: Wan2.2-Remix-I2V-Comfy-Qwen3
Experience here: https://www.runninghub.ai/post/1986632318448267265/?inviteCode=rh-v1325

Online Workflow: Wan2.2-Remix-T2V-v2.0 text-to-video workflow
Experience here: https://www.runninghub.ai/post/1991533843182264322/?inviteCode=rh-v1325

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Wan2.2-Remix is a research and creative model built to generate short, cinematic video clips directly from text prompts. It focuses on human dynamics, realistic motion, and scene consistency, producing lifelike movement and smooth transitions without requiring LoRA setup.

This model already includes NSFW capabilities, enabling the generation of high-quality NSFW-themed videos without the need for additional LoRA.

High-noise model T2V: Lightx2v Wan2.2 Lightning dyno version (quantized to fp8)
High-noise model I2V: Comfy-Org Wan 2.2 ComfyUI Repackaged (fp16, quantized to fp8)
Low-noise model: Comfy-Org Wan 2.2 ComfyUI Repackaged (quantized to fp8)
Enhancements: Blended with open-source motion LoRA data and refined pose training for enhanced realism, anatomical precision, and gesture diversity.
Integration: Fully compatible with lightx2v, no extra setup required.
Recommended CLIP: NSFW-Wan-UMT5-XXL

This model is currently in beta. It’s functional and improving—feedback is welcome!

Changelog

T2V 2.1

Enhance facial consistency in long videos
Adjust LoRA ratio to make video dynamics more realistic

T2V 2.0

Optimized character stability in generated videos, reducing jitter and unwanted motion artifacts
Enhanced video detail for more visually rich scenes
Added dynamic motion effects to improve realism and cinematic impact
Updated base model to original Wan2.2 version to minimize differences across random seeds

I2V 2.0

Significantly enhanced character motion and poses for more dynamic animations
Greatly improved camera movement and cinematic framing
Optimized NSFW content weighting to reduce jitter in generated videos when producing SFW scenes
Enhanced explosions and particle effects for more impactful visuals
SFW version will no longer receive updates

I2V 0.8

Updated lighting acceleration module to Wan2.1 version, fixing slow-motion character issues
Integrated over 20 open-source LoRAs and 10 custom-trained LoRAs to enhance motion dynamics
Removed several low-quality LoRAs to improve overall visual fidelity

I2V 0.6

Enhanced walking, dancing, and running movements
Improved overall motion coherence
Introduced gesture-rich motion set

T2V 1.0

Reduced dyno weighting to improve stability across different random seeds
Added more Asian facial datasets for greater diversity
Enhanced character motion dynamics for fluid animation
Improved motion amplitude, gesture diversity, and overall visual quality

T2V 0.9

High-noise T2V model: Lightx2v Wan2.2 Lightning dyno version (fp8)
High-noise I2V model: Comfy-Org Wan 2.2 ComfyUI Repackaged (fp16, fp8 quantized)
Low-noise model: Comfy-Org Wan 2.2 ComfyUI Repackaged
Refined character motion blending for smoother transitions
Enhanced anatomical articulation and natural body flow

iPewPixels/wan2.2-Remix