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ottopilot
/
PinoAgbayani

Text-to-Image
Diffusers
stable-diffusion
lora
template:sd-lora
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use ottopilot/PinoAgbayani with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/v1-5-pruned-v6", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("ottopilot/PinoAgbayani")
    
    prompt = "RAW photo, male focus, candid, medium shot, low angle, Pno, as Alexander Hamilton, Hamilton An American Musical, indoors, on stage, theatre <lora:XenoDetailer_v2:0.6>  <lora:Pno_v1-gf:0.9>"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
PinoAgbayani
79.9 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
ottopilot's picture
ottopilot
Add 5 files
b46b89c verified over 2 years ago
  • images
    Add 5 files over 2 years ago
  • .gitattributes
    2.31 kB
    initial commit over 2 years ago
  • Pno_v1-gf.safetensors
    75.6 MB
    xet
    Add 5 files over 2 years ago
  • README.md
    3.45 kB
    initial commit over 2 years ago