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ComfyUI-MixMod

ComfyUI-MixMod provides a powerful way to combine multiple models during sampling.

VRAM requirement: Around 8gb vram is minimum. You might need to replace some models with gguf, I got 1sdxl, 1sdxlgguf and pixart sigma with gguf te running on 8gb vram.

Features

Please share cool workflows you find under discussion, this stuff is really experimental and still needs discoveries.

Installation

  1. Clone this repository into your ComfyUI's custom_nodes directory:
cd ComfyUI/custom_nodes
git clone https://github.com/Kantsche/comfyui-mixmod.git
  1. Restart ComfyUI if it's already running.

Tips

  • Different models excel at different aspects - try mixing a detail-focused model with a composition-focused one
  • For FFT modes, base models work well for low frequencies, style models for high frequencies
  • Experiment with weights and CFG values to find the best balance
  • Schedule models to activate at different sampling steps for creative control

Compatibility

  • Tested with SD 1.5, SDXL and Pixart Sigma
  • Works with different model architectures (base, inpainting, etc.)
  • Only tested on Windows

Example workflow with pixart sigma: ShadowPCDisplay_n735IOn8Gu

It improves the prompt adherence of sdxl in general prompts:

ShadowPCDisplay_0d5BXStu6l

Example with Ponyv6 and NoobAI:

Only Pony, Pony+Noob, Only Noob image image

Credits

Created by Kantsche

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Readme GPL-3.0
104 KiB
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Python 100%