Update app.py

app.py

@@ -16,40 +16,34 @@ else:
     pipe = pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max
-DEFAULT_IMAGE_SIZE = 512
 MAX_IMAGE_SIZE = 1024
 
-# Define the default parts of the prompt
-DEFAULT_PREFIX = "a single"
-DEFAULT_SUFFIX = "hanging on the grey wall"
-CATEGORIES = ["T-shirt", "Sweatshirt", "Shirt", "Hoodie"]
-EXAMPLES = [
-    ["T-shirt", "floral pattern"],
-    ["Sweatshirt", "abstract design"],
-    ["Shirt", "geometric shapes"],
-    ["Hoodie", "urban graffiti"],
-]
+def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps):
 
-def infer(category, design, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps):
-    prompt = f"{DEFAULT_PREFIX} {category} with {design} {DEFAULT_SUFFIX}"
-    
     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
 
-css = """
+examples = [
+    "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
+    "An astronaut riding a green horse",
+    "A delicious ceviche cheesecake slice",
+]
+
+css="""
 #col-container {
     margin: 0 auto;
     max-width: 520px;
@@ -62,6 +56,7 @@ else:
     power_device = "CPU"
 
 with gr.Blocks(css=css) as demo:
+    
     with gr.Column(elem_id="col-container"):
         gr.Markdown(f"""
         # Text-to-Image Gradio Template
@@ -69,12 +64,12 @@ with gr.Blocks(css=css) as demo:
         """)
         
         with gr.Row():
-            category = gr.Dropdown(label="Category", choices=CATEGORIES, value=CATEGORIES[0])
-            design = gr.Text(
-                label="Design/Graphic",
-                show_label=True,
+            
+            prompt = gr.Text(
+                label="Prompt",
+                show_label=False,
                 max_lines=1,
-                placeholder="Enter design or graphic",
+                placeholder="Enter your prompt",
                 container=False,
             )
             
@@ -83,6 +78,7 @@ 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.Text(
                 label="Negative prompt",
                 max_lines=1,
@@ -101,12 +97,13 @@ with gr.Blocks(css=css) as demo:
             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=DEFAULT_IMAGE_SIZE,
+                    value=512,
                 )
                 
                 height = gr.Slider(
@@ -114,16 +111,17 @@ with gr.Blocks(css=css) as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=DEFAULT_IMAGE_SIZE,
+                    value=512,
                 )
             
             with gr.Row():
+                
                 guidance_scale = gr.Slider(
                     label="Guidance scale",
                     minimum=0.0,
                     maximum=10.0,
                     step=0.1,
-                    value=7.5,
+                    value=0.0,
                 )
                 
                 num_inference_steps = gr.Slider(
@@ -131,18 +129,20 @@ with gr.Blocks(css=css) as demo:
                     minimum=1,
                     maximum=12,
                     step=1,
-                    value=50,
+                    value=2,
                 )
         
         gr.Examples(
-            examples=EXAMPLES,
-            inputs=[category, design]
+            examples = examples,
+            inputs = [prompt]
         )
 
     run_button.click(
-        fn=infer,
-        inputs=[category, design, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
-        outputs=[result]
+        fn = infer,
+        inputs = [prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
+        outputs = [result]
     )
 
 demo.queue().launch()
+
+DO the prompt tuning for the above as i is taking a lot of time for grnrating