Update app.py

app.py

@@ -11,7 +11,7 @@ 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)
 
@@ -19,27 +19,26 @@ MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024
 
 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, 
-        negative_prompt = negative_prompt,
-        guidance_scale = guidance_scale, 
-        num_inference_steps = num_inference_steps, 
-        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 = [
     "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
-    "A Chrome wrapped Chevy Camero in the desert with neon blue underglow",
+    "A Chrome wrapped Chevy Camaro in the desert with neon blue underglow",
     "A delicious ceviche cheesecake slice",
 ]
 
@@ -61,11 +60,9 @@ else:
     power_device = "CPU"
 
 with gr.Blocks(css=css) as demo:
-    with gr.HTML("""
-    <button id="connect-wallet" style="background-color: #4CAF50; border: none; color: white; padding: 10px 20px; text-align: center; text-decoration: none; display: inline-block; font-size: 16px; margin: 4px 2px; cursor: pointer; border-radius: 8px;">Connect Wallet</button>
-    """):
-        pass
     
+    connect_wallet_button = gr.Button("Connect Wallet", elem_id="connect-wallet")
+
     with gr.Column(elem_id="col-container"):
         gr.Markdown(f"""
         # Open Image - Open Source Txt2Img
@@ -74,7 +71,7 @@ with gr.Blocks(css=css) as demo:
         
         with gr.Row():
             
-            prompt = gr.Text(
+            prompt = gr.Textbox(
                 label="Prompt",
                 show_label=False,
                 max_lines=1,
@@ -87,5 +84,33 @@ with gr.Blocks(css=css) as demo:
         result = gr.Image(label="Result", show_label=False)
 
         with gr.Accordion("Advanced Settings", open=False):
-            
-            negative_prompt = gr
+            negative_prompt = gr.Textbox(
+                label="Negative Prompt",
+                show_label=True,
+                placeholder="Enter negative prompt"
+            )
+            seed = gr.Slider(0, MAX_SEED, value=0, step=1, label="Seed", show_label=True)
+            randomize_seed = gr.Checkbox(label="Randomize Seed", value=True)
+            width = gr.Slider(64, MAX_IMAGE_SIZE, value=512, step=64, label="Width")
+            height = gr.Slider(64, MAX_IMAGE_SIZE, value=512, step=64, label="Height")
+            guidance_scale = gr.Slider(1, 20, value=7.5, step=0.1, label="Guidance Scale")
+            num_inference_steps = gr.Slider(1, 100, value=50, step=1, label="Inference Steps")
+        
+        run_button.click(
+            infer, 
+            inputs=[
+                prompt, 
+                negative_prompt, 
+                seed, 
+                randomize_seed, 
+                width, 
+                height, 
+                guidance_scale, 
+                num_inference_steps
+            ], 
+            outputs=result
+        )
+
+    gr.Examples(examples, [prompt], result, fn=infer)
+
+demo.launch()