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jhshao
/
ChronoDepth

Depth Estimation
Diffusers
Safetensors
ChronoDepthPipeline
video depth estimation
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Diffusers

    How to use jhshao/ChronoDepth with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("jhshao/ChronoDepth", 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
ChronoDepth
7.43 GB
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  • 1 contributor
History: 5 commits
jhshao's picture
jhshao
Update README.md
dccaf3c verified almost 2 years ago
  • feature_extractor
    first commit almost 2 years ago
  • image_encoder
    first commit almost 2 years ago
  • scheduler
    first commit almost 2 years ago
  • unet
    first commit almost 2 years ago
  • vae
    first commit almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    1.49 kB
    Update README.md almost 2 years ago
  • model_index.json
    443 Bytes
    first commit almost 2 years ago