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codewithRiz
/
janu

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

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

  • Libraries
  • Diffusers

    How to use codewithRiz/janu 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("codewithRiz/janu")
    
    prompt = "janujr a man in a black suit and tie standing"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
janu
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  • 1 contributor
History: 2 commits
codewithRiz's picture
codewithRiz
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18ab1d5 verified 11 months ago
  • sample
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  • .gitattributes
    14.8 kB
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  • README.md
    1.19 kB
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  • dataset.toml
    269 Bytes
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  • janu-000004.safetensors
    18.2 MB
    LFS
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  • janu.safetensors
    18.2 MB
    LFS
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  • sample_prompts.txt
    186 Bytes
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  • train.bat
    1.53 kB
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