Naifu Diffusion

Naifu Diffusion is the name for this project of finetuning Stable Diffusion on images and captions.

Colab demo: https://colab.research.google.com/drive/1Xf1tnsP4fu8y5MoYbK1pz08jmyMiTrvv

Features

The trainer has integrated several features:

• Aspect Ratio Bucket and Custom Batch
• Utilizing Hidden States of CLIP’s Penultimate Layer
• Nai-style Tag Processing (w/ Tag Fliter and Cliper)
• Extending the Stable Diffusion Token Limit by 3x
• Lora/Locon Training
• Min-SNR Weighting Strategy
• Offset Noise and Input Perturbation

Usage

Clone repo

git clone https://github.com/Mikubill/naifu-diffusion
cd naifu-diffusion

Fulfill deps

# by conda
conda env create -f environment.yaml
conda activate nd

# OR by pip
pip install -r requirements.txt

Start training.

# test
python trainer.py --config train.yaml

Experiments

Train LoRA

python trainer.py --config experiment/lora.yaml

## extract 
python experiment/extract_lora.py --src last.ckpt

Train LoCon

python trainer.py --config experiment/locon.yaml

## extract 
python experiment/extract_lora.py --src last.ckpt

Train Textual Inversion

python trainer.py --config experiment/textual_inversion.yaml

Convert any checkpoint to safetensors

python scripts/sd_to_safetensors.py --src input.ckpt --dst output.safetensors