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igastesi
/
model

Text-to-Image
Diffusers
TensorBoard
stable-diffusion
stable-diffusion-diffusers
lora
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Diffusers

    How to use igastesi/model with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("SG161222/Realistic_Vision_V2.0", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("igastesi/model")
    
    prompt = "a photo of sks open window"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
model
54 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
igastesi's picture
igastesi
End of training
9deba5a almost 3 years ago
  • checkpoint-100
    End of training almost 3 years ago
  • checkpoint-200
    End of training almost 3 years ago
  • checkpoint-300
    End of training almost 3 years ago
  • checkpoint-400
    End of training almost 3 years ago
  • checkpoint-500
    End of training almost 3 years ago
  • logs
    End of training almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • README.md
    644 Bytes
    End of training almost 3 years ago
  • image_0.png
    367 kB
    End of training almost 3 years ago
  • image_1.png
    366 kB
    End of training almost 3 years ago
  • image_2.png
    376 kB
    End of training almost 3 years ago
  • image_3.png
    422 kB
    End of training almost 3 years ago
  • pytorch_lora_weights.bin
    3.29 MB
    xet
    End of training almost 3 years ago