Instructions to use FoivosPar/Arc2Face with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FoivosPar/Arc2Face with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FoivosPar/Arc2Face", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Update Model Card
Browse files
README.md
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<div align="center">
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[**Project Page**](https://arc2face.github.io/) **|** [**Paper (ArXiv)**]() **|** [**Code**](https://github.com/foivospar/Arc2Face)
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</div>
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**BibTeX:**
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```bibtex
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```
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<div align="center">
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[**Project Page**](https://arc2face.github.io/) **|** [**Paper (ArXiv)**](https://arxiv.org/abs/2403.11641) **|** [**Code**](https://github.com/foivospar/Arc2Face)
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</div>
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**BibTeX:**
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```bibtex
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@misc{paraperas2024arc2face,
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title={Arc2Face: A Foundation Model of Human Faces},
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author={Foivos Paraperas Papantoniou and Alexandros Lattas and Stylianos Moschoglou and Jiankang Deng and Bernhard Kainz and Stefanos Zafeiriou},
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year={2024},
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eprint={2403.11641},
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archivePrefix={arXiv},
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primaryClass={cs.CV}
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}
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```
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