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jyp96
/
candle

Text-to-Image
Diffusers
diffusers-training
lora
template:sd-lora
sd3
sd3-diffusers
Model card Files Files and versions
xet
Community

Instructions to use jyp96/candle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use jyp96/candle with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("jyp96/candle")
    
    prompt = "A photo of sks candle in a bucket"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
candle / checkpoint-100
28.6 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 15 commits
jyp96's picture
jyp96
End of training
1a7864f verified about 1 year ago
  • optimizer.bin
    19.1 MB
    xet
    End of training about 1 year ago
  • pytorch_lora_weights.safetensors
    9.44 MB
    xet
    End of training about 1 year ago
  • random_states_0.pkl
    14.3 kB
    xet
    End of training about 1 year ago
  • scaler.pt
    988 Bytes
    xet
    End of training about 1 year ago
  • scheduler.bin
    1 kB
    xet
    End of training about 1 year ago