| Combined and quantized models for WanVideo, originating from here: | |
| https://huggingface.co/Wan-AI/ | |
| Can be used with: https://github.com/kijai/ComfyUI-WanVideoWrapper and ComfyUI native WanVideo nodes. | |
| Other model sources: | |
| TinyVAE from https://github.com/madebyollin/taehv | |
| SkyReels: https://huggingface.co/collections/Skywork/skyreels-v2-6801b1b93df627d441d0d0d9 | |
| WanVideoFun: https://huggingface.co/collections/alibaba-pai/wan21-fun-v11-680f514c89fe7b4df9d44f17 | |
| CausVid 14B: https://huggingface.co/lightx2v/Wan2.1-T2V-14B-CausVid | |
| CausVid 1.3B: https://huggingface.co/tianweiy/CausVid | |
| AccVideo: https://huggingface.co/aejion/AccVideo-WanX-T2V-14B | |
| Phantom: https://huggingface.co/bytedance-research/Phantom | |
| ATI: https://huggingface.co/bytedance-research/ATI | |
| --- | |
| 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. | |
| --- | |
| v1 = direct extraction, has adverse effects on motion and introduces flashing artifact at full strength. | |
| v1.5 = same as above, but without the first block which fixes the flashing at full strength. | |
| 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. |