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Jonjew
/
VisionaryCE

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

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

  • Libraries
  • Diffusers

    How to use Jonjew/VisionaryCE 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/VisionaryCE")
    
    prompt = "Soft dreamy watercolor. Atmospheric. Moody.  A young woman illuminated by the glow of her cell phone on a dark night.  vsnryCE_style"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
VisionaryCE
96.3 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Jonjew's picture
Jonjew
Add 7 files
802ddc5 verified over 1 year ago
  • images
    Add 7 files over 1 year ago
  • .gitattributes
    2.31 kB
    initial commit over 1 year ago
  • README.md
    3.48 kB
    initial commit over 1 year ago
  • Visionary01b_CE_FLUX_AIT3k.safetensors
    86 MB
    xet
    Add 7 files over 1 year ago