try zerogpu via spaces

.gitignore

@@ -0,0 +1 @@
+.idea/

app.py

@@ -4,80 +4,88 @@ from __future__ import annotations
 
 import os
 
+import spaces
 import gradio as gr
 
 from model import Model
 
-DESCRIPTION = '''# [TEXTure](https://github.com/TEXTurePaper/TEXTurePaper)
 
-- This demo only accepts as input `.obj` files with less than 100,000 faces.
-- Inference takes about 10 minutes on a T4 GPU.
-'''
-if (SPACE_ID := os.getenv('SPACE_ID')) is not None:
-    DESCRIPTION += f'\n<p>For faster inference without waiting in queue, you may duplicate the space and upgrade to GPU in settings. <a href="https://huggingface.co/spaces/{SPACE_ID}?duplicate=true"><img style="display: inline; margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space" /></a></p>'
+@spaces.GPU
+def main():
+    DESCRIPTION = '''# [TEXTure](https://github.com/TEXTurePaper/TEXTurePaper)
+    
+    - This demo only accepts as input `.obj` files with less than 100,000 faces.
+    - Inference takes about 10 minutes on a T4 GPU.
+    '''
+    if (SPACE_ID := os.getenv('SPACE_ID')) is not None:
+        DESCRIPTION += f'\n<p>For faster inference without waiting in queue, you may duplicate the space and upgrade to GPU in settings. <a href="https://huggingface.co/spaces/{SPACE_ID}?duplicate=true"><img style="display: inline; margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space" /></a></p>'
 
-model = Model()
+    model = Model()
 
-with gr.Blocks(css='style.css') as demo:
-    gr.Markdown(DESCRIPTION)
-    with gr.Row():
-        with gr.Column():
-            input_shape = gr.Model3D(label='Input 3D mesh')
-            text = gr.Text(label='Text')
-            seed = gr.Slider(label='Seed',
-                             minimum=0,
-                             maximum=100000,
-                             value=3,
-                             step=1)
-            guidance_scale = gr.Slider(label='Guidance scale',
-                                       minimum=0,
-                                       maximum=50,
-                                       value=7.5,
-                                       step=0.1)
-            run_button = gr.Button('Run')
-        with gr.Column():
-            progress_text = gr.Text(label='Progress')
-            with gr.Tabs():
-                with gr.TabItem(label='Images from each viewpoint'):
-                    viewpoint_images = gr.Gallery(show_label=False).style(
-                        columns=4, height='auto')
-                with gr.TabItem(label='Result 3D model'):
-                    result_3d_model = gr.Model3D(show_label=False)
-                with gr.TabItem(label='Output mesh file'):
-                    output_file = gr.File(show_label=False)
-    with gr.Row():
-        examples = [
-            ['shapes/dragon1.obj', 'a photo of a dragon', 0, 7.5],
-            ['shapes/dragon2.obj', 'a photo of a dragon', 0, 7.5],
-            ['shapes/eagle.obj', 'a photo of an eagle', 0, 7.5],
-            ['shapes/napoleon.obj', 'a photo of Napoleon Bonaparte', 3, 7.5],
-            ['shapes/nascar.obj', 'A next gen nascar', 2, 10],
-        ]
-        gr.Examples(examples=examples,
-                    inputs=[
-                        input_shape,
-                        text,
-                        seed,
-                        guidance_scale,
-                    ],
-                    outputs=[
-                        result_3d_model,
-                        output_file,
-                    ],
-                    cache_examples=False)
+    with gr.Blocks(css='style.css') as demo:
+        gr.Markdown(DESCRIPTION)
+        with gr.Row():
+            with gr.Column():
+                input_shape = gr.Model3D(label='Input 3D mesh')
+                text = gr.Text(label='Text')
+                seed = gr.Slider(label='Seed',
+                                 minimum=0,
+                                 maximum=100000,
+                                 value=3,
+                                 step=1)
+                guidance_scale = gr.Slider(label='Guidance scale',
+                                           minimum=0,
+                                           maximum=50,
+                                           value=7.5,
+                                           step=0.1)
+                run_button = gr.Button('Run')
+            with gr.Column():
+                progress_text = gr.Text(label='Progress')
+                with gr.Tabs():
+                    with gr.TabItem(label='Images from each viewpoint'):
+                        viewpoint_images = gr.Gallery(show_label=False).style(
+                            columns=4, height='auto')
+                    with gr.TabItem(label='Result 3D model'):
+                        result_3d_model = gr.Model3D(show_label=False)
+                    with gr.TabItem(label='Output mesh file'):
+                        output_file = gr.File(show_label=False)
+        with gr.Row():
+            examples = [
+                ['shapes/dragon1.obj', 'a photo of a dragon', 0, 7.5],
+                ['shapes/dragon2.obj', 'a photo of a dragon', 0, 7.5],
+                ['shapes/eagle.obj', 'a photo of an eagle', 0, 7.5],
+                ['shapes/napoleon.obj', 'a photo of Napoleon Bonaparte', 3, 7.5],
+                ['shapes/nascar.obj', 'A next gen nascar', 2, 10],
+            ]
+            gr.Examples(examples=examples,
+                        inputs=[
+                            input_shape,
+                            text,
+                            seed,
+                            guidance_scale,
+                        ],
+                        outputs=[
+                            result_3d_model,
+                            output_file,
+                        ],
+                        cache_examples=False)
 
-    run_button.click(fn=model.run,
-                     inputs=[
-                         input_shape,
-                         text,
-                         seed,
-                         guidance_scale,
-                     ],
-                     outputs=[
-                         viewpoint_images,
-                         result_3d_model,
-                         output_file,
-                         progress_text,
-                     ])
+        run_button.click(fn=model.run,
+                         inputs=[
+                             input_shape,
+                             text,
+                             seed,
+                             guidance_scale,
+                         ],
+                         outputs=[
+                             viewpoint_images,
+                             result_3d_model,
+                             output_file,
+                             progress_text,
+                         ])
 
-demo.queue(max_size=5).launch(debug=True)
+    demo.queue(max_size=5).launch(debug=True)
+
+
+if __name__ == '__main__':
+    main()

requirements.txt

@@ -14,3 +14,4 @@ tqdm==4.65.0
 transformers==4.29.1
 trimesh==3.21.6
 xatlas==0.0.7
+spaces==0.23.2