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
Commit History
11 days ago
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ComfyUI workflow for 8 GB GPUs (5 s); pick-by-GPU table; --low-vram on 8 GB / GPU-size presets
Verified signatureAdds minimax_h3/workflows/dmad_h3_4step_5s_8gb_guitar.{json,mp4} and its screenshot; model card: 8 GB section, workflow-by-GPU table, inference.py --low-vram on 8 GB GPUs.ad7675c
15 days ago
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Add ready-to-run ComfyUI workflows (4- and 8-step, 15 s, 24 GB GPU)
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20 days ago
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Model card: title, badges and teaser
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initial commit
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