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ComfyUI-MixMod

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

VRAM requirement: Fitting two or multiple models. I think around 12gb is minimum for two sdxl.

Features

  • Mix multiple models during sampling
  • Scheduling everything
  • Multiple experimental modes.

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 SD 2.x models
  • Works with different model architectures (base, inpainting, etc.)

Example with Ponyv6 and NoobAI:

Only Pony, Pony+Noob, Only Noob image image

Credits

Created by Kantsche

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Description
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Readme GPL-3.0
104 KiB
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Python 100%