Update app.py

app.py

@@ -18,16 +18,13 @@ else:
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024
 
-def infer(color, dress_type, front_design, back_design, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps):
+def infer(prompt_part1, color, dress_type, front_design, back_design, prompt_part5, 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)
     
-    prompt_base = f"a single {color} colored plain {dress_type} with design, hanging on the plain wall"
-    front_prompt = f"front view of {prompt_base} with {front_design} design"
-    back_prompt = f"back view of {prompt_base} with {back_design} design"
-    
+    front_prompt = f"front view of {prompt_part1} {color} colored plain {dress_type} with {front_design} design, {prompt_part5}"
     front_image = pipe(
         prompt=front_prompt, 
         negative_prompt=negative_prompt,
@@ -38,6 +35,7 @@ def infer(color, dress_type, front_design, back_design, negative_prompt, seed, r
         generator=generator
     ).images[0]
     
+    back_prompt = f"back view of {prompt_part1} {color} colored plain {dress_type} with {back_design} design, {prompt_part5}"
     back_image = pipe(
         prompt=back_prompt, 
         negative_prompt=negative_prompt,
@@ -78,42 +76,63 @@ with gr.Blocks(css=css) as demo:
         
         with gr.Row():
             
-            color = gr.Textbox(
-                label="Color",
-                show_label=True,
+            prompt_part1 = gr.Textbox(
+                value="a single", 
+                label="Prompt Part 1",
+                show_label=False,
+                interactive=False,
+                container=False,
+                elem_id="prompt_part1",
+                visible=False,
+            )
+            
+            prompt_part2 = gr.Textbox(
+                label="color",
+                show_label=False,
                 max_lines=1,
-                placeholder="Color (e.g., red, blue)",
+                placeholder="color (e.g., color category)",
                 container=False,
             )
             
-            dress_type = gr.Textbox(
-                label="Dress Type",
-                show_label=True,
+            prompt_part3 = gr.Textbox(
+                label="dress_type",
+                show_label=False,
                 max_lines=1,
-                placeholder="Dress type (e.g., t-shirt, sweatshirt, shirt, hoodie)",
+                placeholder="dress_type (e.g., t-shirt, sweatshirt, shirt, hoodie)",
                 container=False,
             )
             
-            front_design = gr.Textbox(
-                label="Front Design",
-                show_label=True,
+            prompt_part4_front = gr.Textbox(
+                label="front design",
+                show_label=False,
                 max_lines=1,
-                placeholder="Front design",
+                placeholder="front design",
                 container=False,
             )
 
-            back_design = gr.Textbox(
-                label="Back Design",
-                show_label=True,
+            prompt_part4_back = gr.Textbox(
+                label="back design",
+                show_label=False,
                 max_lines=1,
-                placeholder="Back design",
+                placeholder="back design",
                 container=False,
             )
             
+            prompt_part5 = gr.Textbox(
+                value="hanging on the plain wall", 
+                label="Prompt Part 5",
+                show_label=False,
+                interactive=False,
+                container=False,
+                elem_id="prompt_part5",
+                visible=False,
+            )
+            
+            
             run_button = gr.Button("Run", scale=0)
         
-        front_result = gr.Image(label="Front View Result", show_label=True)
-        back_result = gr.Image(label="Back View Result", show_label=True)
+        front_result = gr.Image(label="Front View Result", show_label=False)
+        back_result = gr.Image(label="Back View Result", show_label=False)
 
         with gr.Accordion("Advanced Settings", open=False):
             
@@ -121,7 +140,7 @@ with gr.Blocks(css=css) as demo:
                 label="Negative prompt",
                 max_lines=1,
                 placeholder="Enter a negative prompt",
-                visible=True,
+                visible=False,
             )
             
             seed = gr.Slider(
@@ -165,20 +184,20 @@ with gr.Blocks(css=css) as demo:
                 num_inference_steps = gr.Slider(
                     label="Number of inference steps",
                     minimum=1,
-                    maximum=50,
+                    maximum=12,
                     step=1,
-                    value=20,
+                    value=2,
                 )
         
         gr.Examples(
             examples=examples,
-            inputs=[color, dress_type, front_design, back_design]
+            inputs=[prompt_part2, prompt_part3, prompt_part4_front, prompt_part4_back]
         )
 
     run_button.click(
         fn=infer,
-        inputs=[color, dress_type, front_design, back_design, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
+        inputs=[prompt_part1, prompt_part2, prompt_part3, prompt_part4_front, prompt_part4_back, prompt_part5, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
         outputs=[front_result, back_result]
     )
 
-demo.queue().launch()
+demo.queue().launch()