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morgan
/
torta

Text-to-Image
Diffusers
TensorBoard
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
food
Model card Files Files and versions
xet
Metrics Training metrics Community
2

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

  • Libraries
  • Diffusers

    How to use morgan/torta with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("morgan/torta", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "a photo of a field of tortas"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
torta / unet
3.44 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
morgan's picture
morgan
trained 'Ae68tVcVmwwQ sandwich' using LastBen fast dreambooth, 600 steps, 6e-6, text encoder 250 wandb:https://wandb.ai/morgan/hf-dreambooth/runs/2vdupp27
9a09cbf over 3 years ago
  • config.json
    924 Bytes
    trained 'Ae68tVcVmwwQ sandwich' using LastBen fast dreambooth, 400 steps, wandb:https://wandb.ai/morgan/hf-dreambooth/runs/s78vlgnc over 3 years ago
  • diffusion_pytorch_model.bin
    3.44 GB
    xet
    trained 'Ae68tVcVmwwQ sandwich' using LastBen fast dreambooth, 600 steps, 6e-6, text encoder 250 wandb:https://wandb.ai/morgan/hf-dreambooth/runs/2vdupp27 over 3 years ago