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kg-09
/
lora-text-train-SSD-1B

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

Instructions to use kg-09/lora-text-train-SSD-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use kg-09/lora-text-train-SSD-1B with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("segmind/SSD-1B", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("kg-09/lora-text-train-SSD-1B")
    
    prompt = "t3xt as"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
lora-text-train-SSD-1B
67.4 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
JSRAM's picture
JSRAM
End of training
a1e74d9 over 2 years ago
  • checkpoint-1000
    End of training over 2 years ago
  • checkpoint-1500
    End of training over 2 years ago
  • checkpoint-500
    End of training over 2 years ago
  • logs
    End of training over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    550 Bytes
    End of training over 2 years ago
  • pytorch_lora_weights.safetensors
    10.9 MB
    xet
    End of training over 2 years ago