Update app.py

app.py

@@ -103,7 +103,7 @@ ENABLE_CPU_OFFLOAD = os.getenv("ENABLE_CPU_OFFLOAD", "0") == "1"
 
 device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
 
-NUM_IMAGES_PER_PROMPT = 1
+NUM_IMAGES_PER_PROMPT = 10
 
 if torch.cuda.is_available():
     pipe = DiffusionPipeline.from_pretrained(
@@ -174,7 +174,7 @@ def generate(
         "width": width,
         "height": height,
         "guidance_scale": guidance_scale,
-        "num_inference_steps": 25,
+        "num_inference_steps": 30,
         "generator": generator,
         "num_images_per_prompt": NUM_IMAGES_PER_PROMPT,
         "use_resolution_binning": use_resolution_binning,
@@ -319,4 +319,4 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
     )
 
 if __name__ == "__main__":
-    demo.queue(max_size=20).launch()
+    demo.queue(max_size=30).launch()