update

app.py

@@ -187,7 +187,7 @@ else:
         # print(f"Before text_to_detailed: {torch.cuda.memory_allocated() / 1024**3} GB")
         return k3d_wrapper.get_detailed_prompt(prompt, seed)
 
-    @spaces.GPU(duration=120)
+    @spaces.GPU
     def text_to_image(prompt, seed=None, strength=1.0,lora_scale=1.0, num_inference_steps=18, redux_hparam=None, init_image=None, **kwargs):
         # subprocess.run("rm -rf /data-nvme/zerogpu-offload/*", env={}, shell=True)
         # print(f"Before text_to_image: {torch.cuda.memory_allocated() / 1024**3} GB")
@@ -210,7 +210,7 @@ else:
                                         **kwargs)
         return result[-1]
 
-    @spaces.GPU(duration=120)
+    @spaces.GPU
     def image2mesh_preprocess_(input_image_, seed, use_mv_rgb=True):
         global preprocessed_input_image
 
@@ -225,7 +225,7 @@ else:
         return reference_save_path, caption
 
 
-    @spaces.GPU(duration=120)
+    @spaces.GPU
     def image2mesh_main_(reference_3d_bundle_image, caption, seed, strength1=0.5, strength2=0.95, enable_redux=True, use_controlnet=True, if_video=True):
         subprocess.run(['nvidia-smi'])  
         global mesh_cache 
@@ -252,7 +252,7 @@ else:
             return gen_save_path, recon_mesh_path, mesh_cache
         # return gen_save_path, recon_mesh_path
 
-    @spaces.GPU(duration=120)
+    @spaces.GPU
     def bundle_image_to_mesh(
             gen_3d_bundle_image, 
             camera_radius=3.5,
@@ -429,10 +429,11 @@ with gr.Blocks(css="""
                     # Modify the Examples section to display horizontally
                     gr.Examples(
                         examples=[
-                            ["A dog wearing a hat"],
+                            ["A cat"],
+                            ["A person wearing a virtual reality headset, sitting position, bent legs, clasped hands."],
                             ["A battle mech in a mix of red, blue, and black color, with a cannon on the head."],
                             ["骷髅头, 邪恶的"],
-                            ["A person wearing a virtual reality headset, sitting position, bent legs, clasped hands."],
+
                         ],
                         inputs=[prompt],
                         label="Example Prompts",
@@ -440,7 +441,7 @@ with gr.Blocks(css="""
                     )
                     
                     with gr.Accordion("Advanced Parameters", open=False):
-                        seed1 = gr.Number(value=10, label="Seed")
+                        seed1 = gr.Number(value=666, label="Seed")
                         
                     btn_one_click_generate = gr.Button("One-click Generation", elem_id="one-click-generate-btn", elem_classes=["orange-button"])
                     
@@ -452,7 +453,7 @@ with gr.Blocks(css="""
 
                     with gr.Accordion("Advanced Parameters", open=False):
                         with gr.Row():
-                            img_gen_seed = gr.Number(value=10, label="Image Generation Seed")
+                            img_gen_seed = gr.Number(value=666, label="Image Generation Seed")
                             num_inference_steps = gr.Slider(minimum=1, maximum=50, value=18, step=1, label="Inference Steps")
                         with gr.Row():
                             strength = gr.Slider(minimum=0.0, maximum=1.0, value=1.0, step=0.05, label="Strength")