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linoyts
/
3diconz

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

Instructions to use linoyts/3diconz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use linoyts/3diconz 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-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("linoyts/3diconz")
    
    prompt = "in the style of <s0><s1>"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
3diconz
93.1 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
Linoy Tsaban
End of training
020d959 over 2 years ago
  • logs
    End of training over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    2.66 kB
    End of training over 2 years ago
  • embeddings.safetensors
    8.34 kB
    xet
    End of training over 2 years ago
  • pytorch_lora_weights.safetensors
    93.1 MB
    xet
    End of training over 2 years ago