try commenting out something that was commented out before to see if it fixes runtime error
Browse files
app.py
CHANGED
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@@ -39,8 +39,8 @@ pipe = StableDiffusionControlNetImg2ImgPipeline.from_pretrained(
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torch_dtype=torch.float16,
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).to("cuda")
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pipe.enable_xformers_memory_efficient_attention()
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pipe.controlnet = torch.nn.DataParallel(pipe.controlnet)
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pipe.unet = torch.nn.DataParallel(pipe.unet)
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def resize_for_condition_image(input_image: Image.Image, resolution: int, canvas_width: int = None, canvas_height: int = None):
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torch_dtype=torch.float16,
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).to("cuda")
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pipe.enable_xformers_memory_efficient_attention()
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+
# pipe.controlnet = torch.nn.DataParallel(pipe.controlnet)
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+
# pipe.unet = torch.nn.DataParallel(pipe.unet)
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def resize_for_condition_image(input_image: Image.Image, resolution: int, canvas_width: int = None, canvas_height: int = None):
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