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zjwfufu
/
SMD-MiniMax-H3-T2VA-4step

Text-to-Video
Diffusers
Safetensors
MiniMax H3
English
smd
diffusion-distillation
few-step
lora
minimax
video-generation
audio-video
4-step
Model card Files Files and versions
xet
Community

Instructions to use zjwfufu/SMD-MiniMax-H3-T2VA-4step with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use zjwfufu/SMD-MiniMax-H3-T2VA-4step 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("zjwfufu/SMD-MiniMax-H3-T2VA-4step")
    
    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
SMD-MiniMax-H3-T2VA-4step / examples
1.54 MB
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  • 2 contributors
History: 1 commit
zjwfufu's picture
zjwfufu
Initial commit
9f7de63 19 days ago
  • case.json
    1.47 kB
    Initial commit 19 days ago
  • generation.json
    2.24 kB
    Initial commit 19 days ago
  • poster.png
    554 kB
    xet
    Initial commit 19 days ago
  • sample.mp4
    987 kB
    xet
    Initial commit 19 days ago