Update app.py

app.py

@@ -10,11 +10,13 @@ dtype = torch.bfloat16
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
 transformer = FluxTransformer2DModel.from_pretrained("sayakpaul/FLUX.1-merged", torch_dtype=dtype)
-pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", transformer=transformer, torch_dtype=dtype).to(device)
+pipe = FluxPipeline.from_pretrained(
+    "sayakpaul/FLUX.1-merged", transformer=transformer, torch_dtype=torch.bfloat16).to(device)
 
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 2048
 
+
 @spaces.GPU()
 def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, guidance_scale=3.5, num_inference_steps=8, progress=gr.Progress(track_tqdm=True)):
     if randomize_seed: