readme: ---
  language: en
  license: apache-2.0
  library_name: diffusers
  tags: []
  datasets: Norod78/EmojiFFHQAlignedFaces
  metrics: []
  ---
  
  # ddpm-EmojiAlignedFaces-64
  
  ## Model description
  
  This diffusion model is trained with the [🤗 Diffusers](https://github.com/huggingface/diffusers) library 
  on the [Norod78/EmojiFFHQAlignedFaces](https://huggingface.co/datasets/Norod78/EmojiFFHQAlignedFaces) dataset.
  
  #### How to use
  
  ```python
  from diffusers import DDPMPipeline, DDIMPipeline, PNDMPipeline
  
  
  def main():
      model_id = "Norod78/ddpm-EmojiAlignedFaces-64"
  
      # load model and scheduler
      ddpm = DDPMPipeline.from_pretrained(model_id)  # you can replace DDPMPipeline with DDIMPipeline or PNDMPipeline for faster inference
  
      # run pipeline in inference (sample random noise and denoise)
      image = ddpm()["sample"]
  
      # save image
      image[0].save("ddpm_generated_image.jpg")
      image[0].show()
  
  if __name__ == '__main__':
      main()
  ```
  
  
  ### Training data
  
  [Norod78/EmojiFFHQAlignedFaces](https://huggingface.co/datasets/Norod78/EmojiFFHQAlignedFaces)
  
  ### Training results
  
  📈 [TensorBoard logs](https://huggingface.co/Norod78/ddpm-EmojiAlignedFaces-64/tensorboard?#scalars)
  
  