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cfchase
/
redhat-dog

Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use cfchase/redhat-dog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use cfchase/redhat-dog with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("cfchase/redhat-dog", 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
redhat-dog
10.4 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
cfchase's picture
cfchase
Initial commit of dreambooth tuned model
b5a9126 almost 2 years ago
  • checkpoint-500
    Initial commit of dreambooth tuned model almost 2 years ago
  • feature_extractor
    Initial commit of dreambooth tuned model almost 2 years ago
  • logs
    Initial commit of dreambooth tuned model almost 2 years ago
  • scheduler
    Initial commit of dreambooth tuned model almost 2 years ago
  • text_encoder
    Initial commit of dreambooth tuned model almost 2 years ago
  • tokenizer
    Initial commit of dreambooth tuned model almost 2 years ago
  • unet
    Initial commit of dreambooth tuned model almost 2 years ago
  • vae
    Initial commit of dreambooth tuned model almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • model_index.json
    643 Bytes
    Initial commit of dreambooth tuned model almost 2 years ago