Update app.py

app.py

@@ -779,7 +779,7 @@ torch.cuda.empty_cache()
 pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", torch_dtype=dtype).to(device)
 
 # Reduce the inference steps and image dimensions
-def generate_image_flux(prompt, seed=42, width=512, height=512, num_inference_steps=2):
+def generate_image_flux(prompt, seed=42, width=400, height=400, num_inference_steps=1):
     generator = torch.Generator(device).manual_seed(seed)
     image = pipe(
         prompt=prompt,