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Dreambooth on 8GB GPU

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.

Setup

Prerequisites

Python: 3.10.8 - Use Virtualenv CUDA Toolkit - https://docs.nvidia.com/cuda/wsl-user-guide/index.html

Install

pip install -r requirements.txt

Dreambooth

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> 

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