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ZhengmingYu
/
DMAD

Text-to-Video
Diffusers
MiniMax H3
text-to-audio-video
audio-video-generation
distillation
lora
Model card Files Files and versions
xet
Community

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
DMAD
2.78 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
ZhengmingYu's picture
ZhengmingYu
Model card: authors, demo video badge, citation
723954a verified about 1 hour ago
  • assets
    Model card: title, badges and teaser about 21 hours ago
  • minimax_h3
    Add the 4-step DMAD students of MiniMax-H3 (lora_critic, full_critic), model card, license and notice about 21 hours ago
  • .gitattributes
    1.57 kB
    Model card: title, badges and teaser about 21 hours ago
  • LICENSE
    17.6 kB
    Add the 4-step DMAD students of MiniMax-H3 (lora_critic, full_critic), model card, license and notice about 21 hours ago
  • NOTICE
    372 Bytes
    Add the 4-step DMAD students of MiniMax-H3 (lora_critic, full_critic), model card, license and notice about 21 hours ago
  • README.md
    4.65 kB
    Model card: authors, demo video badge, citation about 1 hour ago