Update app.py

app.py

@@ -10,7 +10,7 @@ dtype = torch.bfloat16
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
 pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16, revision="refs/pr/3").to(device)
-pipe.scheduler = FlowMatchEulerDiscreteScheduler.from_pretrained ("black-forest-labs/FLUX.1-dev", subfolder="scheduler", revision="refs/pr/3", use_dynamic_shifting=True)
+#pipe.scheduler = FlowMatchEulerDiscreteScheduler.from_pretrained("black-forest-labs/FLUX.1-dev", subfolder="scheduler", revision="refs/pr/3", use_dynamic_shifting=True, shift=1.0)
 
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 2048