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Jonjew
/
DinaMeyer

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

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

  • Libraries
  • Diffusers

    How to use Jonjew/DinaMeyer 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("Jonjew/DinaMeyer")
    
    prompt = "Ultra realistic, ultra detailed textures, cinematic, cinematic lighting, 8k, masterpiece, analog photo, front facing view, young dina meyer woman, cinematic, studio lighting, ultra detailed textures, red lips, eye shadow, detailed face, full body shot, blue jeans and a silk long sleeved shirt, in the beach by the pool, glamorous blonde hair, voluminous hair, HD32K, perfect face, ultra detailed,  dinam,  <lora:Dina Meyer - Flux:1>"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
DinaMeyer
155 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
Jonjew's picture
Jonjew
Add 2 files
ade93f6 verified over 1 year ago
  • images
    Add 2 files over 1 year ago
  • .gitattributes
    2.31 kB
    initial commit over 1 year ago
  • DinaMeyer-flux.safetensors
    153 MB
    xet
    Add 2 files over 1 year ago
  • README.md
    1.09 kB
    initial commit over 1 year ago