Update app.py

app.py

@@ -1,10 +1,10 @@
 import gradio as gr
 import torch
-from diffusers import DiffusionPipeline  # Use DiffusionPipeline instead
+from diffusers import DiffusionPipeline
 
-# Load the model
-pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16)
-pipe.enable_model_cpu_offload()  # save some VRAM by offloading the model to CPU
+# Load the model with authentication
+pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16, use_auth_token=True)
+pipe.enable_model_cpu_offload()  # Save some VRAM by offloading the model to CPU
 
 def generate_image(prompt):
     image = pipe(