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ACCC1380
/
nyako_style

Text-to-Image
Diffusers
TensorBoard
Safetensors
lora
anima
style
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use ACCC1380/nyako_style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ACCC1380/nyako_style with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("circlestone-labs/Anima", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("ACCC1380/nyako_style")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
nyako_style / scripts
9.69 kB
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  • 1 contributor
History: 2 commits
ACCC1380's picture
ACCC1380
Anima base Nyako LoRA: rank16 alpha16, 150 total epochs (resumed after epoch 50), training artifacts and final resume state
a0912d2 verified 2 days ago
  • prepare.py
    1.76 kB
    Anima base Nyako LoRA: rank16 alpha16, 50 epochs, training artifacts and final resume state 2 days ago
  • run_training.py
    1.25 kB
    Anima base Nyako LoRA: rank16 alpha16, 150 total epochs (resumed after epoch 50), training artifacts and final resume state 2 days ago
  • status.py
    805 Bytes
    Anima base Nyako LoRA: rank16 alpha16, 150 total epochs (resumed after epoch 50), training artifacts and final resume state 2 days ago
  • upload.py
    5.87 kB
    Anima base Nyako LoRA: rank16 alpha16, 150 total epochs (resumed after epoch 50), training artifacts and final resume state 2 days ago