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Gemneye
/
J3nnaO

Text-to-Image
Diffusers
lora
template:diffusion-lora
Model card Files Files and versions
xet
Community

Instructions to use Gemneye/J3nnaO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Gemneye/J3nnaO 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("Gemneye/J3nnaO")
    
    prompt = "J3nnaO, a woman, navigates a crowded marketplace wearing a worn leather jacket, cargo pants, and heavy combat boots."
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
J3nnaO
2.06 GB
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  • 1 contributor
History: 2 commits
Gemneye's picture
Gemneye
Add 4 files
d425e7e verified 7 months ago
  • images
    Add 4 files 7 months ago
  • .gitattributes
    2.31 kB
    initial commit 7 months ago
  • J3nnaO-FLUX-2500.safetensors
    687 MB
    xet
    Add 4 files 7 months ago
  • J3nnaO-FLUX-3500.safetensors
    687 MB
    xet
    Add 4 files 7 months ago
  • J3nnaO-FLUX-4000.safetensors
    687 MB
    xet
    Add 4 files 7 months ago
  • README.md
    590 Bytes
    initial commit 7 months ago