Buckets:
| # Third Party Licenses | |
| This project uses third-party libraries that are subject to their own licenses. | |
| ## nvdiffrast | |
| **Project:** https://github.com/NVlabs/nvdiffrast | |
| **License:** NVIDIA Source Code License (1-Way Commercial) | |
| **Usage:** Non-commercial use (research or evaluation purposes only) | |
| ```text | |
| Copyright (c) 2020, NVIDIA Corporation. All rights reserved. | |
| This work is made available under the Nvidia Source Code License (1-Way Commercial). | |
| The Work and any derivative works thereof only may be used or intended for use | |
| non-commercially. "Non-commercially" means for research or evaluation purposes only | |
| and not for any direct or indirect monetary gain. | |
| Full license: https://github.com/NVlabs/nvdiffrast/blob/main/LICENSE.txt | |
| ``` | |
| **Key Points:** | |
| - โ Research/Academic Use: Permitted | |
| - โ Commercial Use: Requires separate licensing from NVIDIA | |
| - ๐ Commercial Licensing: https://www.nvidia.com/en-us/research/inquiries/ | |
| ## Wan Team Libraries | |
| **Project:** Various components in `wan/` directory | |
| **License:** Apache License 2.0 | |
| **Copyright:** Copyright (c) 2024 Wan Team | |
| ```text | |
| Licensed under the Apache License, Version 2.0 (the "License"); | |
| you may not use this file except in compliance with the License. | |
| You may obtain a copy of the License at | |
| http://www.apache.org/licenses/LICENSE-2.0 | |
| Unless required by applicable law or agreed to in writing, software | |
| distributed under the License is distributed on an "AS IS" BASIS, | |
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| See the License for the specific language governing permissions and | |
| limitations under the License. | |
| ``` | |
| ## Hugging Face Diffusers | |
| **Project:** https://github.com/huggingface/diffusers | |
| **License:** Apache License 2.0 | |
| **Copyright:** Copyright 2024 The HuggingFace Team | |
| ```text | |
| Licensed under the Apache License, Version 2.0 (the "License"); | |
| you may not use this file except in compliance with the License. | |
| You may obtain a copy of the License at | |
| http://www.apache.org/licenses/LICENSE-2.0 | |
| Unless required by applicable law or agreed to in writing, software | |
| distributed under the License is distributed on an "AS IS" BASIS, | |
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| See the License for the specific language governing permissions and | |
| limitations under the License. | |
| ``` | |
| ## Hugging Face Transformers | |
| **Project:** https://github.com/huggingface/transformers | |
| **License:** Apache License 2.0 | |
| **Copyright:** Copyright 2024 The HuggingFace Team | |
| ```text | |
| Licensed under the Apache License, Version 2.0 (the "License"); | |
| you may not use this file except in compliance with the License. | |
| You may obtain a copy of the License at | |
| http://www.apache.org/licenses/LICENSE-2.0 | |
| Unless required by applicable law or agreed to in writing, software | |
| distributed under the License is distributed on an "AS IS" BASIS, | |
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| See the License for the specific language governing permissions and | |
| limitations under the License. | |
| ``` | |
| ## PEFT (Parameter-Efficient Fine-Tuning) | |
| **Project:** https://github.com/huggingface/peft | |
| **License:** Apache License 2.0 | |
| **Copyright:** Copyright 2024 The HuggingFace Team | |
| ```text | |
| Licensed under the Apache License, Version 2.0 (the "License"); | |
| you may not use this file except in compliance with the License. | |
| You may obtain a copy of the License at | |
| http://www.apache.org/licenses/LICENSE-2.0 | |
| Unless required by applicable law or agreed to in writing, software | |
| distributed under the License is distributed on an "AS IS" BASIS, | |
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| See the License for the specific language governing permissions and | |
| limitations under the License. | |
| ``` | |
| ## Other Dependencies | |
| The following dependencies are used under their respective licenses: | |
| - **PyTorch & TorchVision**: BSD-3-Clause License | |
| - **Einops**: MIT License | |
| - **OmegaConf**: BSD-3-Clause License | |
| - **Trimesh**: MIT License | |
| - **Gradio**: Apache License 2.0 | |
| - **OpenCV**: BSD-3-Clause License | |
| - **NumPy**: BSD-3-Clause License | |
| - **ImageIO**: BSD-2-Clause License | |
| ## Individual Contributors | |
| **Qi Xin** - Condition Transformer implementation in `utils/controlnet_union.py` | |
| - Copyright by Qi Xin (2024/07/06) | |
| - Condition Transformer component for fusing single/multi conditions with input image | |
| For the complete list of dependencies and their licenses, please refer to the respective package repositories. | |
Xet Storage Details
- Size:
- 4.49 kB
- Xet hash:
- 2632d980071d3835dc98a4c79cfd143b6efc6b9ce51ed64a0fc948c07a8e93d5
ยท
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.