Instructions to use levihsu/OOTDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use levihsu/OOTDiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("levihsu/OOTDiffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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[Try out OOTDiffusion](https://ootd.ibot.cn/)
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Please give me a star if you find it interesting!
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> **OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on** [[arXiv paper](https://arxiv.org/abs/2403.01779)]<br>
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[Try out OOTDiffusion](https://ootd.ibot.cn/)
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🤗 [Hugging Face demo](https://huggingface.co/spaces/levihsu/OOTDiffusion) (Many thanks to [ZeroGPU](https://huggingface.co/zero-gpu-explorers) for providing GPUs)
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Please give me a star if you find it interesting!
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> **OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on** [[arXiv paper](https://arxiv.org/abs/2403.01779)]<br>
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