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FaceSoft
/
cbox_LoRA

Text-to-Image
Diffusers
TensorBoard
diffusers-training
dora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Diffusers

    How to use FaceSoft/cbox_LoRA with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("FaceSoft/cbox_LoRA", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "a photo of Cornell box"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
cbox_LoRA / checkpoint-717
38.4 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
FaceSoft's picture
FaceSoft
End of training
30f4543 verified about 2 years ago
  • optimizer.bin
    15 MB
    xet
    End of training about 2 years ago
  • pytorch_lora_weights.safetensors
    23.4 MB
    xet
    End of training about 2 years ago
  • random_states_0.pkl
    14.3 kB
    xet
    End of training about 2 years ago
  • scaler.pt
    988 Bytes
    xet
    End of training about 2 years ago
  • scheduler.bin
    1 kB
    xet
    End of training about 2 years ago