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metadata
author: cogvideox996
baseModel: CogVideoX
hashes:
  AutoV1: 8A96607E
  AutoV2: A410E48D98
  AutoV3: 37ABB2444528
  BLAKE3: F475F5AD96B6BB2A791A0DDD2C055810E4C12A4343CDD926BC2ED3B9ACE25FCD
  CRC32: 1AB3FB12
  SHA256: A410E48D988C8224CEF392B68DB0654485CFD41F345F4A3A81D3E6B765BB995E
metadata:
  format: SafeTensor
modelPage: https://civitai.com/models/1009676?modelVersionId=1131953
preview:
  - >-
    https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/39402559-7cc5-4e33-b8ff-895ad0769b60/width=450/43812071.jpeg
website: Civitai

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About this version

  • SHA256: a410e48d988c8224cef392b68db0654485cfd41f345f4a3a81d3e6b765bb995e
  • Pointer size: 134 Bytes
  • Size of remote file: 862 MB

CogVideoX-VAE

The model is released under a permissive CogVideoX license.

To get started with ComfyUI;

  1. Update to the latest version of ComfyUI
  2. Download CogVideoX model weights into models/diffusion_models folder, use "CogVideoXModelLoader" load
  3. Make sure a text encoder [1] is in your models/clip folder
  4. Download the VAE to: ComfyUI/models/vae, use "CogVideoXVAELoader" load

CogVideoX has kijai ComfyUI support, and will run on 20GB+ or 9GB VRAM.

Github: https://github.com/THUDM/CogVideo

HuggingFace: https://huggingface.co/collections/THUDM/cogvideo-66c08e62f1685a3ade464cce