Update app.py

app.py

@@ -13,7 +13,7 @@ if torch.cuda.is_available():
 else:
     torch_dtype = torch.float32
 
-pipe = pipeline = AutoPipelineForText2Image.from_pretrained("ostris/OpenFLUX.1", torch_dtype=torch.bfloat16)
+pipe = pipeline = AutoPipelineForText2Image.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16)
 pipe.load_lora_weights('aleksa-codes/flux-ghibsky-illustration', weight_name='lora.safetensors')
 pipe = pipe.to(device)