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Update app.py
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app.py
CHANGED
@@ -11,12 +11,12 @@ if torch.cuda.is_available():
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pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
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pipe.enable_xformers_memory_efficient_attention()
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pipe = pipe.to(device)
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pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True)
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torch.cuda.empty_cache()
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refiner = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", use_safetensors=True, torch_dtype=torch.float16, variant="fp16")
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refiner.enable_xformers_memory_efficient_attention()
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refiner.enable_sequential_cpu_offload()
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refiner.unet = torch.compile(refiner.unet, mode="reduce-overhead", fullgraph=True)
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else:
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pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", use_safetensors=True)
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pipe = pipe.to(device)
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pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
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pipe.enable_xformers_memory_efficient_attention()
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pipe = pipe.to(device)
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#pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True)
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torch.cuda.empty_cache()
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#refiner = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", use_safetensors=True, torch_dtype=torch.float16, variant="fp16")
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#refiner.enable_xformers_memory_efficient_attention()
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#refiner.enable_sequential_cpu_offload()
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#refiner.unet = torch.compile(refiner.unet, mode="reduce-overhead", fullgraph=True)
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else:
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pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", use_safetensors=True)
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pipe = pipe.to(device)
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