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dpwm
/
path-to-save-model2

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 dpwm/path-to-save-model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use dpwm/path-to-save-model2 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("dpwm/path-to-save-model2")
    
    prompt = "a photo of a 34-year-old man called David Mallows"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
path-to-save-model2 / checkpoint-600
8.44 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
dpwm's picture
dpwm
End of training
5070688 almost 3 years ago
  • optimizer.bin
    4 MB
    xet
    End of training almost 3 years ago
  • pytorch_lora_weights.safetensors
    4.42 MB
    xet
    End of training almost 3 years ago
  • random_states_0.pkl
    14.3 kB
    xet
    End of training almost 3 years ago
  • scaler.pt
    988 Bytes
    xet
    End of training almost 3 years ago
  • scheduler.bin
    1 kB
    xet
    End of training almost 3 years ago