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README.md
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@@ -31,7 +31,7 @@ This is a ControlNet based model that synthesizes satellite images given OpenStr
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## Examples
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```python
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from diffusers import StableDiffusionControlNetPipeline, ControlNetModel
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import torch
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from PIL import Image
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controlnet = ControlNetModel.from_pretrained("MVRL/GeoSynth-OSM")
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pipe = StableDiffusionControlNetPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-base", controlnet=controlnet, scheduler=scheduler)
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pipe.enable_xformers_memory_efficient_attention()
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pipe.enable_model_cpu_offload()
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# generate image
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generator = torch.manual_seed(10345340)
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## Examples
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```python
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from diffusers import StableDiffusionControlNetPipeline, ControlNetModel
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import torch
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from PIL import Image
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controlnet = ControlNetModel.from_pretrained("MVRL/GeoSynth-OSM")
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pipe = StableDiffusionControlNetPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-base", controlnet=controlnet)
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pipe = pipe.to("cuda:0")
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# generate image
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generator = torch.manual_seed(10345340)
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