Update app.py

app.py

@@ -8,9 +8,10 @@ import spaces
 device = "cuda"
 
 torch.cuda.max_memory_allocated(device=device)
-pipe = DiffusionPipeline.from_pretrained("sd-community/sdxl-flash", torch_dtype=torch.float16, use_safetensors=True)
+pipe = StableDiffusionXLPipeline.from_pretrained("sd-community/sdxl-flash")
 pipe.enable_xformers_memory_efficient_attention()
 pipe = pipe.to(device)
+pipe.scheduler = DPMSolverSinglestepScheduler.from_config(pipe.scheduler.config, timestep_spacing="trailing")
 
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024