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base_model: |
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- Wan-AI/Wan2.1-VACE-14B |
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- Wan-AI/Wan2.1-VACE-1.3B |
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Combined and quantized models for WanVideo, originating from here: |
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https://huggingface.co/Wan-AI/ |
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Can be used with: https://github.com/kijai/ComfyUI-WanVideoWrapper and ComfyUI native WanVideo nodes. |
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Other model sources: |
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TinyVAE from https://github.com/madebyollin/taehv |
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SkyReels: https://huggingface.co/collections/Skywork/skyreels-v2-6801b1b93df627d441d0d0d9 |
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WanVideoFun: https://huggingface.co/collections/alibaba-pai/wan21-fun-v11-680f514c89fe7b4df9d44f17 |
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Lightx2v: |
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CausVid 14B: https://huggingface.co/lightx2v/Wan2.1-T2V-14B-CausVid |
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CFG and Step distill 14B: https://huggingface.co/lightx2v/Wan2.1-T2V-14B-StepDistill-CfgDistill |
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CausVid 1.3B: https://huggingface.co/tianweiy/CausVid |
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AccVideo: https://huggingface.co/aejion/AccVideo-WanX-T2V-14B |
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Phantom: https://huggingface.co/bytedance-research/Phantom |
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ATI: https://huggingface.co/bytedance-research/ATI |
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MiniMaxRemover: https://huggingface.co/zibojia/minimax-remover |
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MAGREF: https://huggingface.co/MAGREF-Video/MAGREF |
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FantasyTalking: https://github.com/Fantasy-AMAP/fantasy-talking |
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MultiTalk: https://github.com/MeiGen-AI/MultiTalk |
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CausVid LoRAs are experimental extractions from the CausVid finetunes, the aim with them is to benefit from the distillation in CausVid, rather than any actual causal inference. |
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v1 = direct extraction, has adverse effects on motion and introduces flashing artifact at full strength. |
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v1.5 = same as above, but without the first block which fixes the flashing at full strength. |
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v2 = further pruned version with only attention layers and no first block, fixes flashing and retains motion better, needs more steps and can also benefit from cfg. |