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Motif-Technologies
/
Motif-Video-2B

Text-to-Video
Diffusers
Safetensors
English
MotifVideoPipeline
image-to-video
video-generation
diffusion-transformer
Model card Files Files and versions
xet
Community
29

Instructions to use Motif-Technologies/Motif-Video-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Motif-Technologies/Motif-Video-2B with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Motif-Technologies/Motif-Video-2B", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "A vibrant blue jay perches gracefully on a slender branch, its feathers shimmering in the soft morning light. The bird's keen eyes scan the surroundings, capturing the essence of the tranquil forest. It flutters its wings briefly, showcasing the intricate patterns of blue, white, and black on its plumage. The background reveals a lush canopy of green leaves, with rays of sunlight filtering through, creating a dappled effect on the forest floor. The blue jay then tilts its head, emitting a melodious call that echoes through the serene woodland, adding a touch of magic to the peaceful scene."
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
Motif-Video-2B / tokenizer
33.4 MB
Ctrl+K
Ctrl+K
  • 6 contributors
History: 1 commit
gkalstn0's picture
gkalstn0
Initial release
54cdb04 27 days ago
  • tokenizer.json
    33.4 MB
    xet
    Initial release 27 days ago
  • tokenizer_config.json
    780 Bytes
    Initial release 27 days ago