Update app.py

app.py

@@ -66,13 +66,17 @@ iface = gr.Interface(
     fn=generate_image,
     inputs=[
         gr.Textbox(label="Prompt", placeholder="Describe the image you want to generate"),
-        gr.Textbox(label="Negative Prompt", placeholder="What should not be in the image", default="(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)"),
+        gr.Textbox(
+            label="Negative Prompt", 
+            placeholder="What should not be in the image", 
+            default="(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)"
+        ),
         gr.Dropdown(label="Sampler", choices=["DPM", "EulerA", "LMS", "DDIM"], value="DDIM"),
-        gr.Number(label="Seed", value=0, step=1),  # Ensure seed is treated correctly
+        gr.Number(label="Seed", value=0, step=1),
         gr.Slider(label="Guidance Scale", minimum=1, maximum=9, value=5, step=1),
         gr.Slider(label="Inference Steps", minimum=5, maximum=100, value=35, step=1)
     ],
-    outputs=gr.Image(label="Generated Image"),
+    outputs=gr.Image(label="Generated Image"),    outputs=gr.Image(label="Generated Image"),
     description = """
         <div style="text-align: center; font-size: 1.5em; margin-bottom: 20px;">
             <strong>Generate Stunning Images with Stable Diffusion XL</strong>