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Refs2ImagePipeline
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Model Card for Parts2Whole

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

  • 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]

Uses

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

Training Details

Training Data

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

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Dataset used to train huanngzh/Parts2Whole