update hf login

README.md

@@ -9,4 +9,35 @@ app_file: app.py
 pinned: false
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+<div align="center">
+<h1>Chord: Chain of Rendering Decomposition for PBR Material Estimation from Generated Texture Images</h1>
+
+<a href="https://arxiv.org/abs/2509.09952"><img src="https://img.shields.io/badge/arXiv-2509.09952-B31B1B?logo=arxiv&logoColor=white&style=flat-square" alt="arXiv"></a>
+<a href="https://ubisoft-laforge.github.io/world/chord/"><img src="https://img.shields.io/badge/Project-Page-brightgreen?logo=ubisoft&logoColor=white&style=flat-square" alt="Project Page"></a>
+
+[Zhi Ying](https://orcid.org/0009-0008-8390-3366)\*, [Boxiang Rong](https://ribosome-rbx.github.io/)\*, [Jingyu Wang](https://ccetaw.github.io/), [Maoyuan Xu](https://ultraman-blazar.github.io/)
+</div>
+
+Official implementation of the paper "**Chord: Chain of Rendering Decomposition for PBR Material Estimation from Generated Texture Images**".
+
+## License
+
+This project is released under the **Ubisoft Machine Learning License (Research-Only - Copyleft)**. See the full terms in the [LICENSE](LICENSE) file
+
+## Citation
+
+If you find our work useful, please consider citing:
+
+```
+@misc{ying2025chord,
+    title={Chord: Chain of Rendering Decomposition for PBR Material Estimation from Generated Texture Images}, 
+    author={Zhi Ying and Boxiang Rong and Jingyu Wang and Maoyuan Xu},
+    year={2025},
+    eprint={2509.09952},
+    archivePrefix={arXiv},
+    primaryClass={cs.GR},
+    url={https://arxiv.org/abs/2509.09952}, 
+}
+```
+
+© [2025] Ubisoft Entertainment. All Rights Reserved.

app.py

@@ -7,7 +7,7 @@ import copy
 from omegaconf import OmegaConf
 from torchvision.transforms import v2
 from torchvision.transforms.functional import to_pil_image
-from huggingface_hub import hf_hub_download
+from huggingface_hub import hf_hub_download, login
 
 from chord import ChordModel
 from chord.module import make
@@ -27,8 +27,8 @@ EXAMPLES_USECASE_3 = [
 ]
 
 MODEL_OBJ = None
-#MODEL_CKPT_PATH = hf_hub_download(repo_id="Ubisoft/ubisoft-laforge-chord", filename="chord_v1.ckpt")
-MODEL_CKPT_PATH = hf_hub_download(repo_id="ksangk/Chord-V1-ckpt", filename="chord_v1.ckpt")
+login(token=os.environ["HF_TOKEN"])
+MODEL_CKPT_PATH = hf_hub_download(repo_id="Ubisoft/ubisoft-laforge-chord", filename="chord_v1.ckpt")
 def load_model(ckpt_path):
     print("Loading model from:", ckpt_path)
     device = torch.device("cuda" if torch.cuda.is_available() else "cpu")

requirements.txt

@@ -1,10 +1,10 @@
---find-links https://download.pytorch.org/whl/torch_stable.html
+--index-url https://download.pytorch.org/whl/cu128
 torch
 torchvision
 huggingface_hub[hf_xet]
 diffusers
-transformers==4.37.2
-tokenizers==0.15.2
+transformers==4.57.1
+tokenizers==0.22.1
 omegaconf
 imageio
 gradio