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FastVideo
/
Waypoint-1-Small-Diffusers

Diffusers
Safetensors
WaypointPipeline
Model card Files Files and versions
xet
Community

Instructions to use FastVideo/Waypoint-1-Small-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use FastVideo/Waypoint-1-Small-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("FastVideo/Waypoint-1-Small-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
Waypoint-1-Small-Diffusers / tokenizer
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  • 1 contributor
History: 4 commits
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smatta
Upload tokenizer/spiece.model with huggingface_hub
c387c27 verified 3 months ago
  • special_tokens_map.json
    6.62 kB
    Upload tokenizer/special_tokens_map.json with huggingface_hub 3 months ago
  • spiece.model
    4.55 MB
    xet
    Upload tokenizer/spiece.model with huggingface_hub 3 months ago
  • tokenizer.json
    16.9 MB
    xet
    Upload tokenizer/tokenizer.json with huggingface_hub 3 months ago
  • tokenizer_config.json
    6.84 kB
    Upload tokenizer/tokenizer_config.json with huggingface_hub 3 months ago