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README.md
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@@ -33,7 +33,30 @@ These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base wi
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#### How to use
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```python
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-
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```
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#### Limitations and bias
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#### How to use
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```python
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from PIL import Image
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from diffusers import (
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ControlNetModel,
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StableDiffusionControlNetPipeline,
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UniPCMultistepScheduler,
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)
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checkpoint = "liuch37/controlnet-sd-2-1-base-v1"
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prompt = "YOUR_FAVORITE_PROMPT"
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control_image = Image.open("YOUR_SEMANTIC_IMAGE")
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controlnet = ControlNetModel.from_pretrained(checkpoint, torch_dtype=torch.float32)
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pipe = StableDiffusionControlNetPipeline.from_pretrained(
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"stabilityai/stable-diffusion-2-1-base", controlnet=controlnet, torch_dtype=torch.float32
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)
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pipe.scheduler = UniPCMultistepScheduler.from_config(pipe.scheduler.config)
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generator = torch.manual_seed(0)
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image = pipe(prompt, num_inference_steps=30, generator=generator, image=control_image).images[0]
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image.save("YOUR_OUTPUT_IMAGE")
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```
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#### Limitations and bias
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