This script is used to convert a checkpoint model to a Diffusers model.

Start by cloning the repo and installing the requirements

git clone https://github.com/danbrown/ckpt-to-diffusers.git 
cd ckpt-to-diffusers

chmod +x ./install.sh

You should have the checkpoint downloaded in a ckpt or safetensors, check the format the original file is using, in my case is a safetensors file. wget -O NAMEHERE.safetensors https://civitai.com/api/download/models/29792

v1 is only compatible with .ckpt format

v2 is compatible with both .ckpt and .safetensors formats, it's the recommended one

For v1, run the ./v1/app.y script with the checkpoint path and the dump path.

python app.py --checkpoint_path="./NAMEHERE.ckpt" --scheduler_type="lms" --dump_path="./out"

For v2, run the ./v2/convert_diffusers20_original_sd.py script with the checkpoint path, the dump path and the reference model.

Check this file if you need more information: convert_diffusers20_original_sd.md

python ./v2/convert_diffusers20_original_sd.py ./NAMEHERE.safetensors ./out --v1 --reference_model runwayml/stable-diffusion-v1-5

Thanks for Kohya and the following links for helping me all this together <3:

• Self-Development JP Safetensors article

• This Kohya notes

• Kohya-ss SD Scripts

• bmaltais Kohya_ss UI

• Diffusers Library

If you have any questions, feel free to open an issue here. Thanks!