wip

app.py

@@ -12,7 +12,7 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 torch.cuda.max_memory_allocated(device=device)
 # pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
 pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16)
-pipe.enable_xformers_memory_efficient_attention()
+# pipe.enable_xformers_memory_efficient_attention()
 pipe = pipe.to(device)
 # else:
 #     pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", use_safetensors=True)