metadata

library_name: diffusers
license: cc-by-nc-2.0
base_model:
  - black-forest-labs/FLUX.1-Fill-dev
pipeline_tag: image-to-image
tags:
  - tryon
  - vto

Model Card for CAT-Tryoff-Flux

CAT-Tryoff-Flux is an advanced tryoff model. It used the same method of (CATVTON-FLUX)[https://huggingface.co/xiaozaa/catvton-flux-alpha]. This model can extract and reconstruct the front view of clothing items from images of people wearing them.

Model Details

Model Description

Developed by: X/Twitter:Black Magic An

Model Sources [optional]

Repository: github

Uses

The model is designed for virtual try-off applications, allowing users to visualize how different garments would look on a person. It can be used directly through command-line interface with the following parameters:

Input person image Person mask Garment image Random seed (optional)

How to Get Started with the Model

transformer = FluxTransformer2DModel.from_pretrained(
    "xiaozaa/cat-tryoff-flux", 
    torch_dtype=torch.bfloat16
)
pipe = FluxFillPipeline.from_pretrained(
    "black-forest-labs/FLUX.1-dev",
    transformer=transformer,
    torch_dtype=torch.bfloat16
).to("cuda")

Training Details

Training Data

VITON-HD dataset

Training Procedure

Finetuning Flux1-dev-fill

Evaluation

Summary

BibTeX:

@misc{chong2024catvtonconcatenationneedvirtual,
 title={CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models}, 
 author={Zheng Chong and Xiao Dong and Haoxiang Li and Shiyue Zhang and Wenqing Zhang and Xujie Zhang and Hanqing Zhao and Xiaodan Liang},
 year={2024},
 eprint={2407.15886},
 archivePrefix={arXiv},
 primaryClass={cs.CV},
 url={https://arxiv.org/abs/2407.15886}, 
}
@article{lhhuang2024iclora,
  title={In-Context LoRA for Diffusion Transformers},
  author={Huang, Lianghua and Wang, Wei and Wu, Zhi-Fan and Shi, Yupeng and Dou, Huanzhang and Liang, Chen and Feng, Yutong and Liu, Yu and Zhou, Jingren},
  journal={arXiv preprint arxiv:2410.23775},
  year={2024}
}