Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

hmpark
/
lora-training

Text-to-Image
Diffusers
stable-diffusion
stable-diffusion-diffusers
simpletuner
lora
template:sd-lora
Model card Files Files and versions
xet
Community

Instructions to use hmpark/lora-training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use hmpark/lora-training with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("hmpark/lora-training")
    
    prompt = "unconditional (blank prompt)"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
lora-training
Ctrl+K
Ctrl+K
  • 1 contributor
History: 46 commits
hmpark's picture
hmpark
Model card auto-generated by SimpleTuner
5e22ff8 verified almost 2 years ago
  • assets
    Validation images auto-generated by SimpleTuner almost 2 years ago
  • .gitattributes
    1.58 kB
    Validation images auto-generated by SimpleTuner almost 2 years ago
  • README.md
    3.94 kB
    Model card auto-generated by SimpleTuner almost 2 years ago
  • pytorch_lora_weights.safetensors
    89.8 MB
    xet
    Trained for 142 epochs and 2000 steps. almost 2 years ago