Animate from still using CogVideoX-5b-I2V版本✅v3.0 (ID: 954854)

Over 60% faster Rendering with enable_sequential_cpu_offload set to false
For >=24gb vram

You can now prepare your image with my Outpainting FLUX/SDXL for CogVideo

Animate from still using CogVideoX-5b-I2V

Make sure all 3 parts of the .safetensors down loaded models/CogVideo/CogVideoX-5b-I2V/transformer
diffusion_pytorch_model-00001-of-00003 4.64 GB
diffusion_pytorch_model-00002-of-00003 4.64 GB
diffusion_pytorch_model-00003-of-00003 1.18 GB
https://huggingface.co/THUDM/CogVideoX-5b-I2V/tree/main/transformer

I found this on the github page it looks like the error some people are having:
https://github.com/kijai/ComfyUI-CogVideoXWrapper/issues/55

if taking a long time to render : in CogVideo Sampler try changing the "steps" from 50 lower to something like 20 or 25 you may get very little motion but it might work.

It looks like it only wants 49 in "num_frames"

On lower vram systems run groups separately

描述:

Replaced the Nodes were causing issues on <24GB vram

enable_squential_cpu_offload set to true for <24GB vram systems

训练词语: