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danielajisafe
/
model_checkpoints

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

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

  • Libraries
  • Diffusers

    How to use danielajisafe/model_checkpoints with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("danielajisafe/model_checkpoints", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "a photo of sks dog"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
model_checkpoints / checkpoint-800
5.93 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
danielajisafe's picture
danielajisafe
End of training
8155ea0 verified about 1 year ago
  • text_encoder
    End of training about 1 year ago
  • unet
    End of training about 1 year ago
  • optimizer.bin
    2 GB
    xet
    End of training about 1 year ago
  • random_states_0.pkl
    14.3 kB
    xet
    End of training about 1 year ago
  • scheduler.bin
    1 kB
    xet
    End of training about 1 year ago