sd-mecha 0.0.1

Stable Diffusion recipe merger

sd-mecha

sd-mecha is a stable diffusion recipe merger:

import sd_mecha

# plan a simple weighted sum
merge = sd_mecha.weighted_sum(
    "ghostmix_v20Bakedvae",
    "dreamshaper_332BakedVaeClipFix",
    alpha=0.5,
)

# scheduler contains default parameters
scheduler = sd_mecha.MergeScheduler(
    base_dir=r"E:\sd\models\Stable-diffusion",
    device="cuda:0",
    prune=True,
)

# perform the entire merge plan and save to output path
scheduler.merge_and_save(merge, output_path="basic_merge")

See the examples directory for other examples.

Motivation

Keeping track of full merge recipes has always been annoying. I needed something that allows to store merge recipes in a readable format while also being executable. I also needed something that allows to fully merge an entire tree of models without having to save intermediate models to disk.

Install

pip install sd-mecha torch tensordict

sd-mecha depends additionally on:

• torch>=2.0.1
• tensordict

The pypi package does not ship with torch nor tensordict so that you can install the appropriate version for your system.

Acknowledgements

This code is heavily based on the sd-meh library.