Instructions to use ZhengmingYu/DMAD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ZhengmingYu/DMAD with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MiniMaxAI/MiniMax-H3", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ZhengmingYu/DMAD") prompt = "A man with short gray hair plays a red electric guitar." output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Inference
- Notebooks
- Google Colab
- Kaggle
Model card: shorten the license paragraph
Browse files
README.md
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## License
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These checkpoints are Model Derivatives of MiniMax H3 and are distributed under the
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[MiniMax H3 Community License Agreement](LICENSE)
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territorial restrictions (currently excluding the European Union, the United Kingdom, the Republic of Korea and the
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United States; see the [license Q&A](https://huggingface.co/MiniMaxAI/MiniMax-H3/blob/main/docs/QA-about-License.md)
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and the [application form](https://platform.minimax.io/h3-license)) and its Acceptable Use Policy. The weights were
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modified from MiniMax-H3 by LoRA fine-tuning. Videos produced with them are AI-generated.
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## License
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These checkpoints are Model Derivatives of MiniMax H3 and are distributed under the
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[MiniMax H3 Community License Agreement](LICENSE). The weights were
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modified from MiniMax-H3 by LoRA fine-tuning. Videos produced with them are AI-generated.
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