readme: ---
  license: mit
  tags:
  - pytorch
  - diffusers
  - unconditional-image-generation
  - diffusion-models-class
  ---
  
  This model is a diffusion model for unconditional image generation of [Bored Apes](https://opensea.io/collection/boredapeyachtclub).
  
  ## Example
  ![example.png](https://s3.amazonaws.com/moonup/production/uploads/1670089095011-630283a6b002e9a4a216f3e4.png)
  
  ## Usage
  
  ```python
  from diffusers import DDPMPipeline
  
  pipeline = DDPMPipeline.from_pretrained('daspartho/bored-ape-diffusion')
  image = pipeline().images[0]
  image
  ```
  
  ## Training
  The model is trained on [this dataset](https://huggingface.co/datasets/daspartho/bored-ape) of 10000 Bored Ape images.
  
  [Notebook](https://github.com/daspartho/bored-ape-diffusion/blob/main/main.ipynb) for training the model is available on GitHub repo.