update

app.py

@@ -34,6 +34,26 @@ import torch.distributed as dist
 
 from dnnlib.util import EasyDict
 
+_CITE_ = r"""
+If LN3Diff is helpful, please help to ⭐ the 
+<a href='https://github.com/NIRVANALAN/LN3Diff/' target='_blank'>Github Repo</a>. Thanks! [![GitHub Stars](https://img.shields.io/github/stars/NIRVANALAN/LN3Diff?style=social)](https://github.com/NIRVANALAN/LN3Diff/)
+---
+📝 **Citation**
+If you find our work useful for your research or applications, please cite using this bibtex:
+```bibtex
+@inproceedings{lan2024ln3diff,
+title={LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation}, 
+author={Yushi Lan and Fangzhou Hong and Shuai Yang and Shangchen Zhou and Xuyi Meng and Bo Dai and Xingang Pan and Chen Change Loy},
+year={2024},
+booktitle={ECCV}}
+```
+📋 **License**
+S-Lab 1.0 LICENSE. Please refer to the [LICENSE file](https://github.com/NIRVANALAN/LN3Diff/blob/main/LICENSE) for details.
+
+📧 **Contact**
+If you have any questions, feel free to open a discussion or contact us at <b>lanyushi15@gmail.com</b>.
+"""
+
 def install_dependency():
     # install full cuda first
     # subprocess.run(
@@ -214,7 +234,7 @@ def main(args):
                                     eval_data=None,
                                     **args)
     
-    @spaces.GPU(duration=200)
+    @spaces.GPU()
     def reconstruct_and_export(*args, **kwargs):
         return training_loop_class.eval_i23d_and_export(*args, **kwargs)
 
@@ -241,25 +261,6 @@ def main(args):
         image = resize_to_224(image)
         return image
 
-    _CITE_ = r"""
-    If LN3Diff is helpful, please help to ⭐ the 
-    <a href='https://github.com/NIRVANALAN/LN3Diff/' target='_blank'>Github Repo</a>. Thanks! [![GitHub Stars](https://img.shields.io/github/stars/NIRVANALAN/LN3Diff?style=social)](https://github.com/NIRVANALAN/LN3Diff/)
-    ---
-    📝 **Citation**
-    If you find our work useful for your research or applications, please cite using this bibtex:
-    ```bibtex
-    @inproceedings{lan2024ln3diff,
-    title={LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation}, 
-    author={Yushi Lan and Fangzhou Hong and Shuai Yang and Shangchen Zhou and Xuyi Meng and Bo Dai and Xingang Pan and Chen Change Loy},
-    year={2024},
-    booktitle={ECCV},
-}
-    ```
-    📋 **License**
-    S-Lab 1.0 LICENSE. Please refer to the [LICENSE file](https://github.com/NIRVANALAN/LN3Diff/blob/main/LICENSE) for details.
-    📧 **Contact**
-    If you have any questions, feel free to open a discussion or contact us at <b>lanyushi15@gmail.com</b>.
-    """
 
 
 

debug.md

@@ -0,0 +1,17 @@
+If LN3Diff is helpful, please help to ⭐ the 
+
+<a href='https://github.com/NIRVANALAN/LN3Diff/' target='_blank'>Github Repo</a>. Thanks! [![GitHub Stars](https://img.shields.io/github/stars/NIRVANALAN/LN3Diff?style=social)](https://github.com/NIRVANALAN/LN3Diff/)
+
+📝 **Citation**
+If you find our work useful for your research or applications, please cite using this bibtex:
+```bibtex
+@inproceedings{lan2024ln3diff,
+title={LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation}, 
+author={Yushi Lan and Fangzhou Hong and Shuai Yang and Shangchen Zhou and Xuyi Meng and Bo Dai and Xingang Pan and Chen Change Loy},
+year={2024},
+booktitle={ECCV}}
+```
+📋 **License**
+S-Lab 1.0 LICENSE. Please refer to the [LICENSE file](https://github.com/NIRVANALAN/LN3Diff/blob/main/LICENSE) for details.
+📧 **Contact**
+If you have any questions, feel free to open a discussion or contact us at <b>lanyushi15@gmail.com</b>.