Update app.py

app.py

@@ -13,8 +13,8 @@ pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", tor
 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, num_inference_steps=4, progress=gr.Progress(track_tqdm=True)):
+# @spaces.GPU()
+def infer(prompt, seed=42, randomize_seed=False, width=400, height=400, num_inference_steps=4, progress=gr.Progress(track_tqdm=True)):
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)
     generator = torch.Generator().manual_seed(seed)