ljleb/comfy-mecha

Executable Stable Diffusion merge recipes in comfyui

sd-mecha for Comfyui

comfy-mecha is a complete model merging node pack for ComfyUI with a focus on low memory footprint.

• compose complex recipes without needing to save dozens of intermediate merges to disk
• merge loras to models
• support for block weights
• and a bunch of other stuff. For more info, see the nodes listing below. See also the readme of the underlying library sd-mecha

Workflows

Basic weighted sum

Clipped add difference

Ties merging

Recipe workflows can get much, much more complex than this.
If you are familiar with writing python code, you might be interested in using the sd-mecha library directly for experiments as an alternative to ComfyUI: https://github.com/ljleb/sd-mecha

Install

Install with ComfyUI-Manager

Assuming you have ComfyUI-Manager installed:

1. Open a browser tab on ComfyUI
2. Click on the "Manager" button
3. Click on "Install Custom Nodes"
4. Search for "mecha"
5. Install "Mecha Merge Node Pack"

Install manually

You can also install the node pack manually:

cd custom_nodes
git clone https://github.com/ljleb/comfy-mecha.git
pip install -r comfy-mecha/requirements.txt

Nodes listing

Merge nodes

Nodes used for merging. They all have Recipe in their name except for Mecha Merger.

• nodes ending in ... Mecha Recipe return a merge recipe
• Mecha Merger takes a MECHA_RECIPE as input, and returns a unet and a text encoder
• Mecha Model Recipe loads a model as a recipe to be used as input to other recipe nodes. model architecture detection is not yet supported, so please make sure the right arch parameter is selected!
• Mecha Recipe List takes an arbitrary number of recipes and returns a MECHA_RECIPE_LIST. It is intended to be used as input to recipe nodes that accept an arbitrary number of recipes as input, i.e. the bounds input of Clip Mecha Recipe
• Mecha Custom Code Recipe is a very experimental node for custom code and might be removed eventually. It is hard to create recipes and debug with it. I'd advise against using it and instead registering a custom merge method using the sd-mecha library directly

Hyper nodes

Nodes used to specify hyper(parameters) to merge methods. For example, Weighted Sum Mecha Recipe has a hyper input alpha with a default value of 0.5.

• Blocks Mecha Hyper can specify a different hyper for each block of the models to be merged (AKA "merge block weighted" or "MBW")
• Float Mecha Hyper specifies the same float for all blocks of the models to be merged