# OOTDiffusion

**Repository Path**: Examlpe/OOTDiffusion

## Basic Information

- **Project Name**: OOTDiffusion
- **Description**: fork of https://github.com/levihsu/OOTDiffusion
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 2
- **Created**: 2024-03-22
- **Last Updated**: 2024-10-12

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# OOTDiffusion
This repository is the official implementation of OOTDiffusion

[Try our OOTDiffusion](https://ootd.ibot.cn)

🤩 Please give me a star if you find it interesting!


> **OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on**<br>
> [Yuhao Xu](https://scholar.google.com/citations?user=FF7JVLsAAAAJ&hl=zh-CN), [Tao Gu](https://github.com/T-Gu), [Weifeng Chen](https://github.com/ShineChen1024), Chengcai Chen<br>
> Xiao-i Research

Our paper is coming soon!

🔥🔥 Our model checkpoints trained on [VITON-HD](https://github.com/shadow2496/VITON-HD) (768 * 1024) have been released!

Checkpoints trained on [Dress Code](https://github.com/aimagelab/dress-code) (768 * 1024) will be released soon. Thanks for your patience ❤

> 🤗 [Hugging Face Link](https://huggingface.co/levihsu/OOTDiffusion)<br>
> We use checkpoints of [humanparsing](https://github.com/GoGoDuck912/Self-Correction-Human-Parsing) and [openpose](https://huggingface.co/lllyasviel/ControlNet/tree/main/annotator/ckpts) in preprocess. Please refer to their guidance if you encounter relevant environmental issues<br>
> Please download [clip-vit-large-patch14](https://huggingface.co/openai/clip-vit-large-patch14) into ***checkpoints*** folder

![demo](images/demo.png)&nbsp;
![workflow](images/workflow.png)&nbsp;

## Installation

1. Clone the repository

```sh
git clone https://github.com/levihsu/OOTDiffusion
```

2. Create a conda environment and install the required packages

```sh
conda create -n ootd python==3.10
conda activate ootd
pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 numpy==1.24.4 scipy==1.10.1 scikit-image==0.21.0 opencv-python==4.7.0.72 pillow==9.4.0 diffusers==0.24.0 transformers==4.36.2 accelerate==0.26.1 matplotlib==3.7.4 tqdm==4.64.1 gradio==4.16.0 config==0.5.1 einops==0.7.0 ninja==1.10.2
```

## Inference

1. Half-body model

```sh
cd OOTDiffusion/run
python run_ootd.py --model_path <model-image-path> --cloth_path <cloth-image-path> --scale 2.0 --sample 4
```

2. Full-body model 

> Garment category must be paired: 0 = upperbody; 1 = lowerbody; 2 = dress

```sh
cd OOTDiffusion/run
python run_ootd.py --model_path <model-image-path> --cloth_path <cloth-image-path> --model_type dc --category 2 --scale 2.0 --sample 4
```

## TODO List
- [ ] Paper
- [x] Gradio demo
- [x] Inference code
- [ ] Model weights
- [ ] Training code