Update app.py

app.py

@@ -9,13 +9,6 @@ pipe = StableDiffusion3Pipeline.from_pretrained(
     torch_dtype=torch.float16,
 )
 
-
-seed = None
-if seed is None:
-    seed = int.from_bytes(os.urandom(2), "big")
-print(f"Using seed: {seed}")
-generator = torch.Generator(device=device).manual_seed(seed)
-
 def generate_image(prompt):
     with torch.device(device):
         print(f"Current device: {torch.device(device)}")
@@ -26,7 +19,6 @@ def generate_image(prompt):
             num_inference_steps=28,
             guidance_scale=7.0,
             num_images_per_prompt=1,
-            generator=generator,
             output_type="pil",
             return_dict=True,
             callback_on_step_end_tensor_inputs=["latents"],