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ms2stationthis
/
squireflux

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

Instructions to use ms2stationthis/squireflux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ms2stationthis/squireflux 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("ms2stationthis/squireflux")
    
    prompt = "This image is a digitally created artwork featuring a fantasy scene with a squire artistic style. At the center stands a muscular, humanoid figure wearing medieval-style armor, including a helmet adorned with a whimsical unicorn mask. In the squire style, the armor is primarily silver with red accents. The figure's face is obscured by the mask, and the figure is positioned in a confident stance with its arms crossed."
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
squireflux
352 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
lifehaverdev
Initial upload for squireflux
c35331a about 1 year ago
  • dataset
    Initial upload for squireflux about 1 year ago
  • images
    Initial upload for squireflux about 1 year ago
  • .gitattributes
    194 Bytes
    Initial upload for squireflux about 1 year ago
  • README.md
    7.19 kB
    Initial upload for squireflux about 1 year ago
  • config.yaml
    1.82 kB
    Initial upload for squireflux about 1 year ago
  • squireflux.safetensors
    344 MB
    xet
    Initial upload for squireflux about 1 year ago