Update app.py

app.py

@@ -17,7 +17,7 @@ else:
     dtype = torch.float32
 
 taef1 = AutoencoderTiny.from_pretrained("madebyollin/taef1", torch_dtype=dtype).to(device)
-pipe = pipeline = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", token=hf_token, torch_dtype=torch.bfloat16)
+pipe = pipeline = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", token=hf_token, torch_dtype=dtype)
 pipe.load_lora_weights('aleksa-codes/flux-ghibsky-illustration', weight_name='lora.safetensors')
 good_vae = AutoencoderKL.from_pretrained("black-forest-labs/FLUX.1-dev", subfolder="vae", torch_dtype=dtype).to(device)
 pipe = pipe.to(device)