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Duplicated from  ali-vilab/text-to-video-ms-1.7b

AVIIAX
/
vid

Text-to-Video
Diffusers
Safetensors
TextToVideoSDPipeline
Model card Files Files and versions
xet
Community

Instructions to use AVIIAX/vid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use AVIIAX/vid with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("AVIIAX/vid", 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
vid / tokenizer
1.59 MB
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  • 2 contributors
History: 1 commit
AVIIAX's picture
AVIIAX
Duplicate from damo-vilab/text-to-video-ms-1.7b
6b9919d over 2 years ago
  • merges.txt
    525 kB
    Duplicate from damo-vilab/text-to-video-ms-1.7b over 2 years ago
  • special_tokens_map.json
    460 Bytes
    Duplicate from damo-vilab/text-to-video-ms-1.7b over 2 years ago
  • tokenizer_config.json
    755 Bytes
    Duplicate from damo-vilab/text-to-video-ms-1.7b over 2 years ago
  • vocab.json
    1.06 MB
    Duplicate from damo-vilab/text-to-video-ms-1.7b over 2 years ago