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TurboDiffusion
/
TurboH3-FL2VA-I2VA

Image-Text-to-Video
Diffusers
Safetensors
MiniMax H3
image-to-video
audio-video-generation
dmd
bf16
int8
turbodiffusion
Model card Files Files and versions
xet
Community

Instructions to use TurboDiffusion/TurboH3-FL2VA-I2VA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use TurboDiffusion/TurboH3-FL2VA-I2VA with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("TurboDiffusion/TurboH3-FL2VA-I2VA", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
TurboH3-FL2VA-I2VA
88.3 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
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whx1003
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  • adaln
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  • .gitattributes
    1.52 kB
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  • LICENSE
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  • NOTICE
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  • README.md
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  • manifest.json
    9.79 kB
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