Update app.py

app.py

@@ -152,13 +152,13 @@ with gr.Blocks(title="Stable Diffusion (Unlearning Model)") as demo:
     status = gr.Markdown("")
 
     with gr.Accordion("Advanced Settings", open=False):
-        negative_prompt = gr.Textbox(label="Negative prompt", value="")
+        negative_prompt = gr.Textbox(label="Negative prompt", value="nsfw, (low quality, worst quality:1.2), very displeasing, 3d, watermark, signature, ugly, poorly drawn, deform, paining, eyes misaligned, bad,  disproportional, boring,  fuzzy, asymmetric")
         seed = gr.Slider(0, MAX_SEED, step=1, value=0, label="Seed")
         randomize_seed = gr.Checkbox(True, label="Randomize seed")
-        width = gr.Slider(256, MAX_IMAGE_SIZE, step=32, value=512, label="Width")
-        height = gr.Slider(256, MAX_IMAGE_SIZE, step=32, value=512, label="Height")
+        width = 512 #gr.Slider(256, MAX_IMAGE_SIZE, step=32, value=512, label="Width")
+        height =  512 # gr.Slider(256, MAX_IMAGE_SIZE, step=32, value=512, label="Height")
         guidance_scale = gr.Slider(1, 20, step=0.5, value=7.5, label="Guidance scale")
-        num_inference_steps = gr.Slider(1, 40, step=1, value=20, label="Steps")
+        num_inference_steps = gr.Slider(1, 40, step=1, value=30, label="Steps")
         strength = gr.Slider(0.0, 1.0, step=0.05, value=0.7, label="Image strength")
 
     run_button.click(