Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

AlayaLab
/
Evoke

Text-to-Video
Diffusers
Safetensors
world-model
video-generation
image-to-video
interactive
distillation
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Diffusers

    How to use AlayaLab/Evoke with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("AlayaLab/Evoke", 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
Evoke
411 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
SII-YuanyangYin's picture
SII-YuanyangYin
Point the download command at AlayaLab/Evoke
7fa34ec verified 1 day ago
  • evoke-base
    Add files using upload-large-folder tool 3 days ago
  • evoke
    Add files using upload-large-folder tool 3 days ago
  • .gitattributes
    1.59 kB
    Add files using upload-large-folder tool 3 days ago
  • README.md
    3.79 kB
    Point the download command at AlayaLab/Evoke 1 day ago
  • model_index.json
    1.95 kB
    Document the weights layout at the repo root 1 day ago