CivArchive
    GGUF workflow "simple" - v2.0
    Preview 25337181Preview 25365046

    *** remember the gguf format not depend that much on GPU so the Q8 is the most closed for fp16 and its the best choice for PC users

    STEPS:

    • "download workflow > install missing nodes through manager > run it"

    • manually

    1. Clone the Repository

    Clone the custom node repository to your ComfyUI custom nodes folder:

       git clone https://github.com/city96/ComfyUI-GGUF

    2. Install Dependencies

    Install the necessary dependency for inference:

       pip install --upgrade gguf

    if you have this error during loading gguf loader

     newbyteorder was removed from the ndarray class in NumPy 2.0.

    try:

    pip install numpy==1.26.4
    • article help you to choose which model to download

    https://civarchive.com/articles/6730/flux-gguf

    Description

    add support for T5 guff

    Workflows
    Flux.1 S

    Details

    Downloads
    1,508
    Platform
    CivitAI
    Platform Status
    Available
    Created
    8/20/2024
    Updated
    9/27/2025
    Deleted
    -

    Files

    ggufWorkflowSimple_v20.zip

    Mirrors

    CivitAI (1 mirrors)