---
license: apache-2.0
datasets:
- huanngzh/DeepFashion-Refs2Target
---

# Model Card for Parts2Whole

<!-- Provide a quick summary of what the model is/does. -->

Parts2Whole, a novel framework designed for generating customized portraits from multiple reference images, including pose images and various aspects of human appearance.

## Model Details

### Model Description

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- **Developed by:** Zehuan Huang, Hongxing Fan, Lipeng Wang
- **Model type:** human image diffusion model
- **License:** apache-2.0
- **Finetuned from model [optional]:** Stable Diffusion 1-5

### Model Sources [optional]

<!-- Provide the basic links for the model. -->

- **Repository:** https://github.com/huanngzh/Parts2Whole
- **Paper [optional]:** https://arxiv.org/abs/2404.15267
- **Demo [optional]:** [More Information Needed]

## Uses

<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->

For usage instructions, please refer to [our Parts2Whole GitHub repository](https://github.com/huanngzh/Parts2Whole).

## Training Details

### Training Data

<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->

https://huggingface.co/datasets/huanngzh/DeepFashion-Refs2Target