Add Nuva Lab acknowledgement and link
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by whatif-jd - opened
README.md
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@@ -62,6 +62,10 @@ hf download FastVideo/FastVideo-FastH3-Omni-8-Step-V1 \
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The repository includes the BF16 reference transformer, schedulers and inference configuration. The runtime loads the shared text encoder, tokenizer, processor and video/audio VAEs from MiniMax-H3. Follow the runtime guide to prepare those components.
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## License
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Use of these weights is governed by the [MiniMax-H3 Community License Agreement](https://huggingface.co/MiniMaxAI/MiniMax-H3/blob/main/LICENSE).
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The repository includes the BF16 reference transformer, schedulers and inference configuration. The runtime loads the shared text encoder, tokenizer, processor and video/audio VAEs from MiniMax-H3. Follow the runtime guide to prepare those components.
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## Acknowledgements
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FastH3 Omni was built in close collaboration with [Nuva Lab](https://nuvalab.ai/fasth3/), which co-developed the model with FastVideo, defined and curated the omni reference dataset, and brought production-grounded creative video workflows to FastH3. For dedicated production deployment, fine-tuning on your own data and a creative agent on top, see [Nuva Lab's FastH3-Omni page](https://nuvalab.ai/fasth3/).
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## License
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Use of these weights is governed by the [MiniMax-H3 Community License Agreement](https://huggingface.co/MiniMaxAI/MiniMax-H3/blob/main/LICENSE).
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