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README.md
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license: apache-2.0
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---
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license: apache-2.0
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datasets:
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- huanngzh/DeepFashion-Refs2Target
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pipeline_tag: text-to-image
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---
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# Model Card for Parts2Whole
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<!-- Provide a quick summary of what the model is/does. -->
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Parts2Whole, a novel framework designed for generating customized portraits from multiple reference images, including pose images and various aspects of human appearance.
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** Zehuan Huang, Hongxing Fan, Lipeng Wang
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- **Model type:** human image diffusion model
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- **License:** apache-2.0
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- **Finetuned from model [optional]:** Stable Diffusion 1-5
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** https://github.com/huanngzh/Parts2Whole
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- **Paper [optional]:** https://arxiv.org/abs/2404.15267
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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For usage instructions, please refer to [our Parts2Whole GitHub repository](https://github.com/huanngzh/Parts2Whole).
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## Training Details
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### Training Data
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<!-- 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. -->
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https://huggingface.co/datasets/huanngzh/DeepFashion-Refs2Target
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