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orekhovsky
/
hist_LoRA

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

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

  • Libraries
  • Diffusers

    How to use orekhovsky/hist_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("orekhovsky/hist_LoRA", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "a photo of histological slide"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
hist_LoRA
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  • 1 contributor
History: 2 commits
orekhovsky's picture
orekhovsky
End of training
3339b0a verified 10 months ago
  • checkpoint-100
    End of training 10 months ago
  • checkpoint-200
    End of training 10 months ago
  • checkpoint-300
    End of training 10 months ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    1.44 kB
    End of training 10 months ago
  • pytorch_lora_weights.safetensors
    23.4 MB
    xet
    End of training 10 months ago