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c0ur4ge
/
R35ON4NCE

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

Instructions to use c0ur4ge/R35ON4NCE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use c0ur4ge/R35ON4NCE with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("c0ur4ge/R35ON4NCE", 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
R35ON4NCE
30.6 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
pwncups
Initial Commit
9d8128b almost 2 years ago
  • feature_extractor
    Initial Commit almost 2 years ago
  • image_encoder
    Initial Commit almost 2 years ago
  • optimizer
    Initial Commit almost 2 years ago
  • prior
    Initial Commit almost 2 years ago
  • scheduler
    Initial Commit almost 2 years ago
  • text_encoder
    Initial Commit almost 2 years ago
  • tokenizer
    Initial Commit almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • R35-A_Bstage.safetensors
    2.95 GB
    xet
    Initial Commit almost 2 years ago
  • R35-A_Cstage.safetensors
    7.18 GB
    xet
    Initial Commit almost 2 years ago
  • R35-A_text_encoder.safetensors
    1.39 GB
    xet
    Initial Commit almost 2 years ago
  • README.md
    55 Bytes
    Create README.md almost 2 years ago
  • model_index.json
    625 Bytes
    Initial Commit almost 2 years ago