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---
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
<!-- Provide a longer summary of what this model is. -->
- **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 |