Update app.py

app.py

@@ -11,30 +11,28 @@ if torch.cuda.is_available():
     pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
     pipe.enable_xformers_memory_efficient_attention()
     pipe = pipe.to(device)
-else:
+else: 
     pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", use_safetensors=True)
     pipe = pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max
-MAX_IMAGE_SIZE = 3000
+MAX_IMAGE_SIZE = 1024
+
+def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps):
 
-# Function to generate art with Moroccan and Amazigh styles
-def infer(prompt, seed, randomize_seed, width, height):
-    # Add Moroccan and Amazigh art styles to the prompt
-    style_prompt = f"{prompt}, inspired by Moroccan and Amazigh arts, traditional motifs, vibrant colors, and intricate patterns."
-    
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)
         
     generator = torch.Generator().manual_seed(seed)
     
     image = pipe(
-        prompt=style_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
@@ -53,9 +51,6 @@ css="""
     max-width: 840px;
     color: #003366;
 }
-body {
-    background-color: white;
-}
 """
 
 if torch.cuda.is_available():
@@ -73,7 +68,7 @@ with gr.Blocks(css=css) as demo:
         
         with gr.Row():
             
-            prompt = gr.Textbox(
+            prompt = gr.Text(
                 label="Prompt",
                 show_label=False,
                 max_lines=1,
@@ -85,38 +80,70 @@ 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=MAX_IMAGE_SIZE,
-                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=MAX_IMAGE_SIZE,
-                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("""
-        <div style="text-align: center;">
-            Built with ❤️ by <a href="https://www.linkedin.com/in/halimbahae/" target="_blank">Bahae Eddine HALIM</a>
-        </div>
-        """)
 
     run_button.click(
-        fn=infer,
-        inputs=[prompt, 0, True, 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()
+demo.queue().launch()