ApacheOne/Info-Hunyuan_LoRAs

Hunyuan-Archive_Information

• ALL loRAs have markdown files with info from the author of the model.

Community and in-depth repo information

All models listed are for continuing the great open source push of GEN AI

ALL Have

• Trigger words
• Authors nicknames
• Base model type
• Description
• Version
• Links to more info

Some Have

• T2V(Text : Video) | T2I(Text : Image)
• I2V(Image : Video) | I2I(Image : Image)
• V2V(Video : Video)

• Usage Guidelines:
  • Age Restriction: Due to the explicit nature of the generated content, usage is restricted to individuals over the legal age in their jurisdiction.

Thanks

• Authors and Brains behind these models and info
• Hosting and Sharing platforms

License

This project incorporates components with different licenses. Please review the licensing information carefully for each part.

Models (Base & LoRA)

The base models and any LoRA (Low-Rank Adaptation) models utilized or provided within this repository retain their original licenses.

• For hunyuan-collection: Please refer to its original license LICENSE.

It is crucial to consult the original source of these models (e.g., their Hugging Face model cards, original repositories) for their specific licensing terms before use, modification, or distribution.

Documentation & Repository Information (.md files)

All Markdown files (.md), including this README.md, and other textual information created specifically for this repository and collection, are licensed under the Apache License 2.0.

The Apache License 2.0 can typically be found in LICENSE file in the root of similar open-source projects, or you can view it online at https://www.apache.org/licenses/LICENSE-2.0.

Why Apache 2.0 for documentation? We've chosen the Apache 2.0 license for our documentation and informational content to:

• Keep Information Open: Ensure the information remains open-source and freely accessible to everyone.
• Encourage Collaboration & Edits: Allow the community to freely use, modify, distribute, and contribute improvements to the documentation.
• Maintain Attribution & History: The license terms help in properly attributing contributions and tracking the evolution of the information, which is beneficial for maintaining accurate and up-to-date notes over time.
• Provide Clear Permissions: Offer clear guidelines on what users can and cannot do with the content, while also providing certain patent and copyright protections.

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Important: It is your responsibility as a user to ensure compliance with all applicable licenses when using, modifying, or distributing any part of this project. If you have any questions about licensing, please consult the respective license texts or open an issue in this repository.