【FLUX】ComfyUI Installer

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Model description

UmeAiRT ComfyUI auto installer

I'm sharing with you my installation script, which automatically provides ComfyUI, workflows, FLUX model, ...

With a few questions at the beginning of the script, only the desired elements will be downloaded.

Prerequisites :

What's included :

ComfyUI :

  • portable version pytorch 2.8.0+cu129,

  • ComfyUI Manager,

  • all custom nodes used in my workflows.

Workflow :

  • TXT to IMG.json: Basic text-to-image generation.

  • IMG to IMG.json: Basic image-to-image generation.

  • INPAINT.json: For modifying or replacing part of an image (inpainting).

  • OUTPAINT.json: For extending an image beyond its original borders (outpainting).

  • KONTEXT.json: For contextual editing and generation.

  • ControlNet

    • CtrlNet Canny.json: Guides generation using Canny edges.

    • CtrlNet Depth.json: Guides generation using a depth map.

    • CtrlNet HED.json: Guides generation using soft edges (HED).

    • CtrlNet Openpose.json: Guides generation from a skeletal pose.

  • Tools

    • LoRA.json: Example of how to use a LoRA with FLUX models.

    • Upscale.json

Models : (base,gguf,nunchaku)

  • Flux1-dev,

  • Flux1-fill,

  • Flux1-Kontext.

Clips :

  • ViT-L-14-TEXT-detail-improved-hiT-GmP-TE-only-HF,

  • Clip_l,

  • t5xxl_fp8_e4m3fn.safetensors.

ControlNet :

  • Canny,

  • Depth,

  • Hed,

  • OpenPose.

Upscale Model :

Custom Nodes included :

Images made by this model

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