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jmxt
/
jo-flux

Text-to-Image
Diffusers
English
flux
lora
replicate
Model card Files Files and versions
xet
Community
1

Instructions to use jmxt/jo-flux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use jmxt/jo-flux 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("jmxt/jo-flux")
    
    prompt = "Jo, a 41-year-old father, smiling as he looks out the window and sees planet Earth, in a spaceship, wearing an astronaut orange suit with the NASA symbol. He is looking forward to returning to his family. The ship is entering the atmosphere and there is a reflection of intense light coming through the window. Breathtaking, cinematic, exciting, harmonious, highly detailed, high budget, bokeh, cinemascope, atmospheric, epic, stunning, UHD 8K, 85mm, Fujifilm GFX100 II, soft light, warm composition,"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
jo-flux
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  • 1 contributor
History: 3 commits
jmxt's picture
jmxt
Add generated example (#1)
cacce79 verified about 1 year ago
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  • .gitattributes
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  • README.md
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  • config.yaml
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  • lora.safetensors
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