pretrained path
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@ -9,7 +9,10 @@ torch.backends.cudnn.benchmark = False
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warnings.filterwarnings('ignore')
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# %% First let us spawn a stable diffusion holder. Uncomment your version of choice.
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pipe = AutoPipelineForText2Image.from_pretrained("stabilityai/sdxl-turbo", torch_dtype=torch.float16, variant="fp16")
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pretrained_model_name_or_path = "stabilityai/stable-diffusion-xl-base-1.0"
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# pretrained_model_name_or_path = "stabilityai/sdxl-turbo"
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pipe = AutoPipelineForText2Image.from_pretrained(pretrained_model_name_or_path, torch_dtype=torch.float16, variant="fp16")
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pipe.to('cuda')
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be = BlendingEngine(pipe)
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