Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

bytedance-research
/
EchoVideo

Diffusers
Safetensors
English
EchoVideoPipeline
EchoVideo
video-generation
id-preserving
Model card Files Files and versions
xet
Community

Instructions to use bytedance-research/EchoVideo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use bytedance-research/EchoVideo with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("bytedance-research/EchoVideo", 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
EchoVideo
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
weijiangchuan's picture
weijiangchuan
initial commit
712663f about 1 year ago
  • asset
    initial commit about 1 year ago
  • scheduler
    initial commit about 1 year ago
  • transformer
    initial commit about 1 year ago
  • .gitattributes
    2.35 kB
    initial commit about 1 year ago
  • LICENSE
    63 Bytes
    initial commit about 1 year ago
  • README.md
    4.48 kB
    initial commit about 1 year ago
  • configuration.json
    47 Bytes
    initial commit about 1 year ago
  • model_index.json
    417 Bytes
    initial commit about 1 year ago