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prs-eth
/
marigold-depth-lcm-v1-0

Depth Estimation
Diffusers
Safetensors
English
MarigoldDepthPipeline
depth estimation
latent consistency model
image analysis
computer vision
in-the-wild
zero-shot
Model card Files Files and versions
xet
Community
7

Instructions to use prs-eth/marigold-depth-lcm-v1-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use prs-eth/marigold-depth-lcm-v1-0 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("prs-eth/marigold-depth-lcm-v1-0", 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
marigold-depth-lcm-v1-0
15.5 GB
Ctrl+K
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  • 5 contributors
History: 25 commits
toshas's picture
toshas
Update README.md
04a7350 verified about 1 year ago
  • scheduler
    update scheduler config about 2 years ago
  • text_encoder
    add fp16 checkpoints (#2) about 2 years ago
  • tokenizer
    copy other components about 2 years ago
  • unet
    add fp16 checkpoints (#2) about 2 years ago
  • vae
    add fp16 checkpoints (#2) about 2 years ago
  • .gitattributes
    1.56 kB
    prepare lsf about 2 years ago
  • README.md
    5.85 kB
    Update README.md about 1 year ago
  • model_index.json
    533 Bytes
    update model indices over 1 year ago