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lschmidt
/
ddim-dsc

Diffusers
Safetensors
CondDDIMPipeline
downscaling
ERA5 - COSMO-REA6
reanalysis data
wind velocities
diffusion
superresolution
Model card Files Files and versions
xet
Community

Instructions to use lschmidt/ddim-dsc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use lschmidt/ddim-dsc with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("lschmidt/ddim-dsc", 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
ddim-dsc
455 MB
Ctrl+K
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  • 2 contributors
History: 12 commits
lschmidt's picture
lschmidt
Update README.md
da1c069 verified about 1 year ago
  • scheduler
    updated code structure about 1 year ago
  • unet
    updated code structure about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    1.89 kB
    Update README.md about 1 year ago
  • cond_ddim_pipeline.py
    5.52 kB
    Rename cond-ddim-pipeline.py to cond_ddim_pipeline.py about 1 year ago
  • model_index.json
    162 Bytes
    Update model_index.json about 1 year ago