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joheras
/
jonathan-stable-diffusion-v2

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

Instructions to use joheras/jonathan-stable-diffusion-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use joheras/jonathan-stable-diffusion-v2 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("joheras/jonathan-stable-diffusion-v2")
    
    prompt = "a photo of jonathan"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
jonathan-stable-diffusion-v2 / checkpoint-600
10.2 MB
Ctrl+K
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  • 1 contributor
History: 1 commit
joheras's picture
joheras
End of training
297c2bf verified almost 2 years ago
  • optimizer.bin
    6.85 MB
    xet
    End of training almost 2 years ago
  • pytorch_lora_weights.safetensors
    3.36 MB
    xet
    End of training almost 2 years ago
  • random_states_0.pkl
    14.3 kB
    xet
    End of training almost 2 years ago
  • scaler.pt
    988 Bytes
    xet
    End of training almost 2 years ago
  • scheduler.bin
    1 kB
    xet
    End of training almost 2 years ago