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README.md
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---
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license: mit
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---
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# VQ Diffusion
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* [Paper](https://arxiv.org/abs/2205.16007.pdf)
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* [Original Repo](https://github.com/microsoft/VQ-Diffusion)
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* **Authors**: Shuyang Gu, Dong Chen, et al.
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```python
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#!pip install diffusers[torch]==0.7.0 transformers
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import torch
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from diffusers import VQDiffusionPipeline
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pipeline = VQDiffusionPipeline.from_pretrained("microsoft/vq-diffusion-ithq", torch_dtype=torch.float16, revision="fp16")
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pipeline = pipeline.to("cuda")
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output = pipeline("teddy bear playing in the pool", truncation_rate=0.86)
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image = output.images[0]
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image.save("./teddy_bear.png")
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```
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**Contribution**: This model was contribution by [williamberman](https://huggingface.co/williamberman) in [VQ-diffusion](https://github.com/huggingface/diffusers/pull/658).
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