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phanerozoic
/
deep-plantain

Depth Estimation
Diffusers
Safetensors
English
lora
flux2
vision-banana
Model card Files Files and versions
xet
Community

Instructions to use phanerozoic/deep-plantain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use phanerozoic/deep-plantain with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.2-klein-base-4B", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("phanerozoic/deep-plantain")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
deep-plantain
8.66 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
phanerozoic's picture
phanerozoic
Add full NYU Eigen test table to pending/ README
72a333d verified 9 days ago
  • pending
    Add full NYU Eigen test table to pending/ README 9 days ago
  • readme
    Initial release: weights, README with three OOD demos, RGB-to-depth decoder 11 days ago
  • .gitattributes
    1.75 kB
    Add pending/ — rank-256 transformer LoRA + merged text-encoder (deep-plantain-3500) 9 days ago
  • README.md
    5.71 kB
    Update Status with full NYU Eigen eval results 9 days ago
  • TODO.md
    540 Bytes
    Add TODO.md 9 days ago
  • decode_rgb_to_depth.py
    8.1 kB
    Initial release: weights, README with three OOD demos, RGB-to-depth decoder 11 days ago
  • pytorch_lora_weights.safetensors
    66.9 MB
    xet
    Initial release: weights, README with three OOD demos, RGB-to-depth decoder 11 days ago