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ByteDance
/
ContentV-8B

Text-to-Video
Diffusers
Safetensors
ContentVPipeline
Model card Files Files and versions
xet
Community
3

Instructions to use ByteDance/ContentV-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ByteDance/ContentV-8B 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/ContentV-8B", 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
ContentV-8B / text_encoder
247 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
linwf's picture
linwf
Upload folder using huggingface_hub
0f3e199 verified 11 months ago
  • config.json
    574 Bytes
    Upload folder using huggingface_hub 11 months ago
  • model.safetensors
    247 MB
    xet
    Upload folder using huggingface_hub 11 months ago