Update app.py

app.py

@@ -20,6 +20,7 @@ taef1 = AutoencoderTiny.from_pretrained("madebyollin/taef1", torch_dtype=dtype).
 pipe = pipeline = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", token=hf_token, torch_dtype=torch.bfloat16)
 pipe.load_lora_weights('aleksa-codes/flux-ghibsky-illustration', weight_name='lora.safetensors')
 pipe = pipe.to(device)
+pipe.flux_pipe_call_that_returns_an_iterable_of_images = flux_pipe_call_that_returns_an_iterable_of_images.__get__(pipe)
 
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024