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jschoormans
/
rvision_inp

Text-to-Image
Diffusers
StableDiffusionPipeline
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use jschoormans/rvision_inp with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("jschoormans/rvision_inp", 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
  • Local Apps
  • Draw Things
  • DiffusionBee
rvision_inp
4.27 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
jschoormans's picture
jschoormans
init
e6df579 about 3 years ago
  • scheduler
    init about 3 years ago
  • text_encoder
    init about 3 years ago
  • tokenizer
    init about 3 years ago
  • unet
    init about 3 years ago
  • vae
    init about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    26 Bytes
    init about 3 years ago
  • model_index.json
    417 Bytes
    init about 3 years ago