CivArchive
    Animate from still using CogVideoX-5b-I2V - ✅v3.0
    NSFW

    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

    Description

    Replaced the Nodes were causing issues on <24GB vram

    enable_squential_cpu_offload set to true for <24GB vram systems

    Workflows
    Flux.1 D

    Details

    Downloads
    1,538
    Platform
    CivitAI
    Platform Status
    Available
    Created
    10/14/2024
    Updated
    9/28/2025
    Deleted
    -

    Files

    animateFromStillUsing_V30.zip

    Mirrors