适用于 Mochi 视频生成器的 ComfyUI 封装节点 正在开发中 https://GitHub.com/user-attachments/assets/a714b70f-dcdb-4f91-8a3d-8da679a…
适用于 Mochi 视频生成器的 ComfyUI 封装节点 正在开发中 https://GitHub.com/user-attachments/assets/a714b70f-dcdb-4f91-8a3d-8da679a…
https://github.com/user-attachments/assets/a714b70f-dcdb-4f91-8a3d-8da679a28d6e
Can use flash_attn, pytorch attention (sdpa) or sage attention, sage being fastest.
Depending on frame count can fit under 20GB, VAE decoding is heavy and there is experimental tiled decoder (taken from CogVideoX -diffusers code) which allows higher frame counts, so far highest I've done is 97 with the default tile size 2x2 grid.
Models:
https://huggingface.co/Kijai/Mochi_preview_comfy/tree/main
model to: ComfyUI/models/diffusion_models/mochi
vae to: ComfyUI/models/vae/mochi
There is autodownload node (also will be normal loader node)
暂无开放 Issues，或尚未同步最近议题。