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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 / vae
587 MB
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  • 1 contributor
History: 1 commit
jhshao's picture
jhshao
first commit
73d1fae verified almost 2 years ago
  • config.json
    607 Bytes
    first commit almost 2 years ago
  • diffusion_pytorch_model.fp16.safetensors
    196 MB
    xet
    first commit almost 2 years ago
  • diffusion_pytorch_model.safetensors
    391 MB
    xet
    first commit almost 2 years ago