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
- Local Apps Settings
- Draw Things
Add the 4-step DMAD students of MiniMax-H3 (lora_critic, full_critic), model card, license and notice
2cb62f3 verified Download NOTICE from ZhengmingYu/DMAD: direct link, hf CLI and curl.
- Browser
- Download file 372 Bytes
-
https://huggingface.co/ZhengmingYu/DMAD/resolve/main/NOTICE
- Command line
-
hf download hf://ZhengmingYu/DMAD/NOTICE
-
curl -L -o NOTICE https://huggingface.co/ZhengmingYu/DMAD/resolve/main/NOTICE
372 Bytes
| MiniMax H3 is licensed under the MiniMax H3 Community License Agreement, Copyright © 2026 MiniMax. All Rights Reserved. | |
| The DMAD checkpoints in this repository are Model Derivatives of MiniMax H3: the MiniMax-H3 text-to-audio-video transformer was modified by LoRA fine-tuning (DMAD distillation to 4 steps). They are distributed under the same agreement (see LICENSE). | |