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    FLUXinator (STD/GGUF/NF4) img2prompt, controlnet, F1depth/canny, Detailer, SUPIR - v1.35
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    ComfyUI Workflow for Single Image Generation

    with 16 gb vram or less i would recommend to leave the purge nodes as they are. the startup time until a render starts is maybe longer, but in my tests without the nodes the vram was filled up to 99% after 1 or 2 canceled queues and then nothing worked anymore except restarting comfyui. i would also suggest to use the "unload models" button after chanceling a queue that helps a lot, otherwise it's possible that comfy tries to load flux twice into the memory. i can't say if the nodes are needed with a 4090, but i would bypass them first for testing and if it works without them they can simply be removed. (some are hidden behind other nodes you have to collapse them)

    Description

    • ‼️Updated RvTools v2 ‼️

    • shrinked the group sizes (by using managed groups)

    • stripped image upscale with model from the supir group (to upscale but bypass supir)

    • re-added miaoshou

    • reworked the load image group

    Workflows
    Flux.1 D

    Details

    Downloads
    60
    Platform
    CivitAI
    Platform Status
    Deleted
    Created
    4/24/2025
    Updated
    4/24/2025
    Deleted
    4/24/2025

    Files

    fluxinatorSTDGGUFNF4_v135.zip

    Mirrors