This repository provides configuration example to use the https://github.com/huggingface/diffusers/tree/main/examples/dreambooth example on a RTX3060TI in Win 10 WSL.
Python: 3.10.8 - Use Virtualenv CUDA Toolkit - https://docs.nvidia.com/cuda/wsl-user-guide/index.html
pip install -r requirements.txt
Configure the following parameters in the Makefile.
- MODEL_NAME, default "./models/stable-diffusion-v1-5". You need to provide your own model, you can download stable diffusion from hugging face here: https://huggingface.co/runwayml/stable-diffusion-v1-5
- INSTANCE_DIR, default "./train_input"
- CLASS_DIR, default "./train_class"
- OUTPUT_DIR, default "./train_output"
- PROMPT, default "a photo of sks dog"
- CLASS_PROMPT, default "a photo of dog"
- RESOLUTION, default 512
Run the following command to start training with your parameters.
make train
You can also provide the parameters directly on the terminal.
PROMPT="<your training prompt>" CLASS_PROMPT="<class image prompt>" RESOLUTION=<your resolution> MODEL_NAME=<your model location> INSTANCE_DIR=<your training input files> CLASS_DIR=<class training files> OUTPUT_DOR=<your model output>