Update app.py

app.py

@@ -39,7 +39,7 @@ def generate(prompt, samp_steps, batch_size, seed, progress=gr.Progress(track_tq
         guidance_scale=0.0,
         generator=torch.manual_seed(seed),
     ).images
-    return gr.update(value = [(img, f"Image {i+1}") for i, img in enumerate(images)], height=height+90), seed
+    return gr.update(value = [(img, f"Image {i+1}") for i, img in enumerate(images)]), seed
         
 def set_base_model():
     pipe = AutoPipelineForText2Image.from_pretrained(
@@ -56,7 +56,7 @@ with gr.Blocks(css=css) as demo:
         prompt = gr.Textbox(label="Prompt")
         submit_btn = gr.Button("Generate", elem_classes="btn-green")
         with gr.Row():
-            samp_steps = gr.Slider(1, 30, value=10, step=1, label="Sampling steps")
+            samp_steps = gr.Slider(1, 20, value=5, step=1, label="Sampling steps")
             batch_size = gr.Slider(1, 6, value=1, step=1, label="Batch size", interactive=True)
             seed = gr.Number(label="Seed", value=-1, minimum=-1, precision=0)
             lastSeed = gr.Number(label="Last Seed", value=-1, interactive=False)