Parts2Whole

Model Card for Parts2Whole

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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.

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]

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

Uses

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For usage instructions, please refer to our Parts2Whole GitHub repository.

Training Details

Training Data

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