MuDI

(β˜… 96)

[NeurIPS 2024] MuDI: Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models

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Download Latest Version (.zip)
  • .gitignore
  • automatic_mask_generation.ipynb
  • generate_prior.py
  • inference_demo.ipynb
  • inference_demo_more_than_two.ipynb
  • README.md
  • train.sh
  • train_segmix_lora_sdxl.py

# Installation Guide

1. Get the code
git clone https://github.com/agwmon/MuDI

Downloads the entire project code from GitHub to your computer.

cd MuDI

Moves into the project folder you just downloaded.

2. Official Install Script

Easy Recommended
Prerequisites
  • Python 3 Python is required to use pip.
pip install diffusers[torch] transformers peft wandb scipy

Installs the package published on PyPI directly β€” no need to clone the source.

pip install git+https://github.com/facebookresearch/segment-anything.git

Installs the package published on PyPI directly β€” no need to clone the source.

βœ… After installing, open a new terminal and run the program's version command (e.g. --version) to confirm it worked.

Pulled directly from this repo's README.

3. Python

Easy
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Python 3 On Windows, be sure to check 'Add Python to PATH' during installation.
pip install diffusers[torch] transformers peft wandb scipy

Installs the package published on PyPI directly β€” no need to clone the source.

pip install git+https://github.com/facebookresearch/segment-anything.git

Installs the package published on PyPI directly β€” no need to clone the source.

βœ… If it runs without errors and prints output in the terminal, it worked.

Pulled directly from this repo's README.

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