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Alibaba-Research-Intelligence-Computing
/
Tora_T2V_diffusers

Text-to-Video
Diffusers
Safetensors
English
ToraPipeline
video
video-generation
cogvideox
alibaba
Model card Files Files and versions
xet
Community
1

Instructions to use Alibaba-Research-Intelligence-Computing/Tora_T2V_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Alibaba-Research-Intelligence-Computing/Tora_T2V_diffusers with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Alibaba-Research-Intelligence-Computing/Tora_T2V_diffusers", 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
Tora_T2V_diffusers
32.4 GB
Ctrl+K
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  • 2 contributors
History: 8 commits
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Le0jc
Update README.md
055ee0f verified 10 months ago
  • scheduler
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  • text_encoder
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  • tokenizer
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  • transformer
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  • vae
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  • .gitattributes
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  • CogVideoX_LICENSE
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  • LICENSE
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  • README.md
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  • model_index.json
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