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