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lightx2v
/
Autoencoders

Diffusers
Diffusion Single File
comfyui
distillation
LoRA
video
video genration
Model card Files Files and versions
xet
Community
14

Instructions to use lightx2v/Autoencoders with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use lightx2v/Autoencoders with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("lightx2v/Autoencoders", torch_dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Diffusion Single File

    How to use lightx2v/Autoencoders with Diffusion Single File:

    # No code snippets available yet for this library.
    
    # To use this model, check the repository files and the library's documentation.
    
    # Want to help? PRs adding snippets are welcome at:
    # https://github.com/huggingface/huggingface.js
  • Notebooks
  • Google Colab
  • Kaggle
Autoencoders
6.99 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 12 commits
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SenseTimeMTC
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