Update app.py

app.py

@@ -9,6 +9,8 @@ from transformers import CLIPTextModel, CLIPTokenizer,T5EncoderModel, T5Tokenize
 dtype = torch.bfloat16
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
+pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16, revision="refs/pr/3").to("cpu")
+
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 2048