Instructions to use thampu99/WanVideo_comfy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use thampu99/WanVideo_comfy with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| tags: | |
| - diffusion-single-file | |
| - comfyui | |
| base_model: | |
| - Wan-AI/Wan2.1-VACE-14B | |
| - Wan-AI/Wan2.1-VACE-1.3B | |
| 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. | |
| I've also started to do fp8_scaled versions over here: https://huggingface.co/Kijai/WanVideo_comfy_fp8_scaled | |
| 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 | |
| --- | |
| Lightx2v: | |
| CausVid 14B: https://huggingface.co/lightx2v/Wan2.1-T2V-14B-CausVid | |
| CFG and Step distill 14B: https://huggingface.co/lightx2v/Wan2.1-T2V-14B-StepDistill-CfgDistill | |
| --- | |
| 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 | |
| MiniMaxRemover: https://huggingface.co/zibojia/minimax-remover | |
| MAGREF: https://huggingface.co/MAGREF-Video/MAGREF | |
| FantasyTalking: https://github.com/Fantasy-AMAP/fantasy-talking | |
| MultiTalk: https://github.com/MeiGen-AI/MultiTalk | |
| Anisora: https://huggingface.co/IndexTeam/Index-anisora/tree/main/14B | |
| Pusa: https://huggingface.co/RaphaelLiu/PusaV1/tree/main | |
| FastVideo: https://huggingface.co/FastVideo | |
| EchoShot: https://github.com/D2I-ai/EchoShot | |
| Wan22 5B Turbo: https://huggingface.co/quanhaol/Wan2.2-TI2V-5B-Turbo | |
| Ovi: https://github.com/character-ai/Ovi | |
| FlashVSR: https://huggingface.co/JunhaoZhuang/FlashVSR | |
| rCM: https://huggingface.co/worstcoder/rcm-Wan/tree/main | |
| --- | |
| 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. |