readme: ---
  license: openrail
  ---
  
  This model is converted from [stable-diffusion-2-depth](https://huggingface.co/stabilityai/stable-diffusion-2-depth) using the [conversion script](https://github.com/huggingface/diffusers/blob/main/scripts/convert_original_stable_diffusion_to_diffusers.py) from [🤗 Diffusers](https://github.com/huggingface/diffusers).
  
  You can use it with the pipeline here: https://gist.github.com/carson-katri/f51532b9d5162928d5cacbaee081a799
  
  ```python
  # class StableDiffusionDepthPipeline: ...
  
  from PIL import Image
  
  model_id = "carsonkatri/stable-diffusion-2-depth-diffusers"
  
  # Use the pipeline from this GH Gist: https://gist.github.com/carson-katri/f51532b9d5162928d5cacbaee081a799
  pipe = StableDiffusionDepthPipeline.from_pretrained(model_id)
  pipe = pipe.to("cuda")
  
  image = pipe(
      prompt="a photo of a stormtrooper from star wars",
      depth_image=Image.open('depth.png'), # Black and white depth map
      image=Image.open("emad.png"), # Optional init image and strength.
      width=768,
      height=512
  ).images[0]
  
  image.save('stormtrooper.png')
  ```