update app.py

app.py

@@ -11,7 +11,11 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 torch_dtype = torch.bfloat16 if torch.cuda.is_available() else torch.float32
 model_repo = "black-forest-labs/FLUX.1-dev"  # Replace to the model you would like to use
 
-pipe = FluxPipeline.from_pretrained(model_repo, torch_dtype=torch_dtype, token=f"{os.environ.get('tkn')}").to(device)
+pipe = FluxPipeline.from_pretrained(model_repo, 
+                                    torch_dtype=torch_dtype, 
+                                    token=f"{os.environ.get('tkn')}",
+                                    force_download=True,
+                                    ).to(device)
 #pipe.enable_model_cpu_offload()
 
 MAX_SEED = np.iinfo(np.int32).max