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hb23
/
sample_data

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

Instructions to use hb23/sample_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use hb23/sample_data with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("hb23/sample_data")
    
    prompt = "A photo of <skswr>, studio lighting, standing up"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
sample_data
605 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
hb23's picture
hb23
End of training
169a47b verified 9 months ago
  • checkpoint-100
    End of training 9 months ago
  • checkpoint-200
    End of training 9 months ago
  • checkpoint-300
    End of training 9 months ago
  • checkpoint-400
    End of training 9 months ago
  • .gitattributes
    1.71 kB
    End of training 9 months ago
  • README.md
    2.48 kB
    End of training 9 months ago
  • image_0.png
    800 kB
    xet
    End of training 9 months ago
  • image_1.png
    718 kB
    xet
    End of training 9 months ago
  • image_2.png
    569 kB
    xet
    End of training 9 months ago
  • image_3.png
    855 kB
    xet
    End of training 9 months ago
  • pytorch_lora_weights.safetensors
    47.3 MB
    xet
    End of training 9 months ago