CivArchive
    Wan 2.2 Image 2 Video with LightX2V (using GGUF) - v1.0

    Image to Video using Wan 2.2 and Lightx2V and GGUF.

    If you are having slowness issues, then you might need to get the smallest version of GGUF which will take up the least amount of VRAM.

    High Noise i2v model

    https://huggingface.co/QuantStack/Wan2.2-I2V-A14B-GGUF/tree/main/HighNoise

    Low Noise i2v model

    https://huggingface.co/QuantStack/Wan2.2-I2V-A14B-GGUF/tree/main/LowNoise

    Lightx2v LORA for speed up

    https://huggingface.co/lightx2v/Wan2.1-I2V-14B-480P-StepDistill-CfgDistill-Lightx2v/tree/main/loras

    VAE

    https://huggingface.co/QuantStack/Wan2.2-T2V-A14B-GGUF/tree/main/VAE

    If you encounter an issue similar to this :

    Given groups=1, weight of size [5120, 36, 1, 2, 2], expected input[1, 32, 21, 104, 60] to have 36 channels, but got 32 channels instead.

    If you have the custom node, flow2-wan-video installed, this may be causing issues with Wan 2.2

    You can try deleting this node.

    If above does not work, then you may need to update comfy

    You will need to update comfy by running this batch file (updating from within comfy seems unreliable)

    update_comfyui.bat

    Description

    New release

    Workflows
    Wan Video 14B i2v 720p

    Details

    Downloads
    409
    Platform
    CivitAI
    Platform Status
    Available
    Created
    8/7/2025
    Updated
    9/27/2025
    Deleted
    -

    Files

    wan22Image2VideoWith_v10.zip

    Mirrors

    CivitAI (1 mirrors)