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ms2stationthis
/
ansemflux

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

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

  • Libraries
  • Diffusers

    How to use ms2stationthis/ansemflux 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/ansemflux")
    
    prompt = "This image is a digital artwork featuring a close-up portrait of Ansem with dark skin and short, curly black hair. His facial features are prominently displayed, with a well-groomed beard and mustache. Ansem's expression is neutral, with his eyes slightly narrowed and his lips slightly parted, giving him a contemplative or serious demeanor. The lighting is soft and even, casting a gentle glow on his face, highlighting the natural texture of his skin."
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
ansemflux
350 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
lifehaverdev
Initial upload for ansemflux
7f450f5 about 1 year ago
  • dataset
    Initial upload for ansemflux about 1 year ago
  • images
    Initial upload for ansemflux about 1 year ago
  • .gitattributes
    194 Bytes
    Initial upload for ansemflux about 1 year ago
  • README.md
    6.55 kB
    Initial upload for ansemflux about 1 year ago
  • ansemflux.safetensors
    344 MB
    xet
    Initial upload for ansemflux about 1 year ago
  • config.yaml
    1.41 kB
    Initial upload for ansemflux about 1 year ago