readme: ---
  license: mit
  tags:
  - pytorch
  - diffusers
  - unconditional-image-generation
  - diffusion-models-class
  ---
  
  This model is a diffusion model for unconditional image generation of churches ⛪️ finetuned on wikiart 🎨.<br>
  
  Pretrained model : google/ddpm-church-256<br>
  Dataset : huggan/wikiart<br>
  
  ## Usage
  
  ```python
  from diffusers import DDPMPipeline
  
  model_id = 'CCMat/ddpm-church-finetune-wikiart'
  
  # load model and scheduler
  pipeline = DDPMPipeline.from_pretrained(model_id)
  
  # run pipeline in inference (sample random noise and denoise)
  image = pipeline().images[0]
  
  # save image
  image.save("ddpm_church_wikiart.png")
  ```
  
  ## Samples
  ![example images](images/ddpm_church_wikiart_hf_0.png)
  ![example images](images/ddpm_church_wikiart_hf_3.png)
  ![example images](images/ddpm_church_wikiart_hf_7.png)
  ![example images](images/ddpm_church_wikiart_hf_8.png)
  ![example images](images/ddpm_church_wikiart_hf_9.png)
  ![example images](images/ddpm_church_wikiart_hf_10.png)
  