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DROPTABLE
/
chxprt

Diffusers
Safetensors
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use DROPTABLE/chxprt with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("DROPTABLE/chxprt", 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
chxprt
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
dedelste's picture
dedelste
mem
4a95232 about 1 year ago
  • unet_ambient
    first try about 1 year ago
  • unet_conditional
    first try about 1 year ago
  • .gitattributes
    50 Bytes
    first try about 1 year ago
  • ambient_diffusion.py
    6.54 kB
    mem about 1 year ago
  • cfg_diffusion.py
    2.42 kB
    first try about 1 year ago
  • conditional_ddpm_pipeline.py
    2.93 kB
    mem about 1 year ago
  • constants.py
    380 Bytes
    first try about 1 year ago
  • handler.py
    14.3 kB
    mem about 1 year ago
  • labels.npy
    42.5 kB
    mem about 1 year ago
  • requirements.txt
    62 Bytes
    first try about 1 year ago