Update app.py

app.py

@@ -16,28 +16,32 @@ else:
     pipe = pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max
+MAX_IMAGE_SIZE = 2048
 
-def infer(prompt, width, height):
-    seed = random.randint(0, MAX_SEED)
+def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps):
+    if randomize_seed:
+        seed = random.randint(0, MAX_SEED)
+        
     generator = torch.Generator().manual_seed(seed)
     
     image = pipe(
-        prompt=prompt, 
-        guidance_scale=7.5, 
-        num_inference_steps=50, 
-        width=width, 
-        height=height,
-        generator=generator
+        prompt = prompt, 
+        negative_prompt = negative_prompt,
+        guidance_scale = guidance_scale, 
+        num_inference_steps = num_inference_steps, 
+        width = width, 
+        height = height,
+        generator = generator
     ).images[0] 
     
     return image
 
 examples = [
     "Sunset over the Atlas Mountains",
+    "Traditional Amazigh jewelry under the moonlight",
     "Flying carpet in space",
     "Unicorn riding a camel in the Sahara Desert",
     "Moroccan souk floating in the sky",
-    "Traditional Amazigh jewelry under the moonlight"
 ]
 
 css="""
@@ -62,11 +66,11 @@ with gr.Blocks(css=css) as demo:
         gr.Markdown(f"""
         # bibou.jpeg
         Generate Moroccan folkloric pictures, inspired by Moroccan and Amazigh arts. 🎨🎶
-        Currently running on {power_device}.
         """)
         
         with gr.Row():
-            prompt = gr.Textbox(
+            
+            prompt = gr.Text(
                 label="Prompt",
                 show_label=False,
                 max_lines=1,
@@ -78,26 +82,64 @@ with gr.Blocks(css=css) as demo:
         
         result = gr.Image(label="Result", show_label=False)
 
-        with gr.Row():
-            width = gr.Slider(
-                label="Width",
-                minimum=512,
-                maximum=3000,
-                step=32,
-                value=512,
+        with gr.Accordion("Advanced Settings", open=False):
+            
+            negative_prompt = gr.Text(
+                label="Negative prompt",
+                max_lines=1,
+                placeholder="Enter a negative prompt",
+                visible=False,
             )
-                
-            height = gr.Slider(
-                label="Height",
-                minimum=512,
-                maximum=3000,
-                step=32,
-                value=512,
+            
+            seed = gr.Slider(
+                label="Seed",
+                minimum=0,
+                maximum=MAX_SEED,
+                step=1,
+                value=0,
             )
+            
+            randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
+            
+            with gr.Row():
+                
+                width = gr.Slider(
+                    label="Width",
+                    minimum=256,
+                    maximum=MAX_IMAGE_SIZE,
+                    step=32,
+                    value=1024,
+                )
+                
+                height = gr.Slider(
+                    label="Height",
+                    minimum=256,
+                    maximum=MAX_IMAGE_SIZE,
+                    step=32,
+                    value=1024,
+                )
+            
+            with gr.Row():
+                
+                guidance_scale = gr.Slider(
+                    label="Guidance scale",
+                    minimum=0.0,
+                    maximum=10.0,
+                    step=0.1,
+                    value=0.0,
+                )
+                
+                num_inference_steps = gr.Slider(
+                    label="Number of inference steps",
+                    minimum=1,
+                    maximum=12,
+                    step=1,
+                    value=2,
+                )
         
         gr.Examples(
-            examples=examples,
-            inputs=[prompt]
+            examples = examples,
+            inputs = [prompt]
         )
         
         gr.Markdown("""
@@ -107,9 +149,9 @@ with gr.Blocks(css=css) as demo:
         """)
 
     run_button.click(
-        fn=infer,
-        inputs=[prompt, width, height],
-        outputs=[result]
+        fn = infer,
+        inputs = [prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
+        outputs = [result]
     )
 
 demo.queue().launch()