readme: ---
  license: mit
  ---
  # VQ Diffusion
  
  * [Paper](https://arxiv.org/abs/2205.16007.pdf)
  
  * [Original Repo](https://github.com/microsoft/VQ-Diffusion)
  
  * **Authors**: Shuyang Gu, Dong Chen, et al.
  
  
  ```python
  #!pip install diffusers[torch] transformers
  import torch
  from diffusers import VQDiffusionPipeline
  
  pipeline = VQDiffusionPipeline.from_pretrained("microsoft/vq-diffusion-ithq", torch_dtype=torch.float16)
  pipeline = pipeline.to("cuda")
  
  output = pipeline("teddy bear playing in the pool", truncation_rate=1.0)
  
  image = output.images[0]
  image.save("./teddy_bear.png")
  ```
  
  ![img](https://huggingface.co/datasets/patrickvonplaten/images/resolve/main/vq_diffusion_fp16.png)
  
  **Contribution**: This model was contribution by [williamberman](https://huggingface.co/williamberman) in [VQ-diffusion](https://github.com/huggingface/diffusers/pull/658).
  