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rihamsharp
/
maleGCC4

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

Instructions to use rihamsharp/maleGCC4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use rihamsharp/maleGCC4 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("rihamsharp/maleGCC4", 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
maleGCC4
817 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
rihamsharp's picture
rihamsharp
Create model_index.json
4720076 almost 3 years ago
  • loraGCCMale4.safetensors
    feat: upload loraGCCMale4 lora model almost 3 years ago
  • loraGCCMale4_config
    feat: upload loraGCCMale4 lora model almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • README.md
    74 Bytes
    Update README.md almost 3 years ago
  • model_index.json
    542 Bytes
    Create model_index.json almost 3 years ago