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: project page URL
Browse files
README.md
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### 4-step MiniMax-H3 students for joint audio-video generation
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[](https://yzmblog.github.io/DMAD/)
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[](https://arxiv.org/abs/2610.02188)
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[](https://github.com/Yzmblog/DMAD)
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### 4-step MiniMax-H3 students for joint audio-video generation
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[](https://yzmblog.github.io/projects/DMAD/)
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[](https://arxiv.org/abs/2610.02188)
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[](https://github.com/Yzmblog/DMAD)
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