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Jonjew
/
PopColorEffectv2

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

Instructions to use Jonjew/PopColorEffectv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Jonjew/PopColorEffectv2 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/PopColorEffectv2")
    
    prompt = "diclrpp, <lora:color-pop_v10-000021:1>, Text in a rainbow font says \"Color Pop Effect!\",  yellow dress and shoes on a woman seated between ornate columns, surrounded by hanging foliage. Everything else in the image is black and white, including the background and architectural elements. Her posture is relaxed, with one leg extended and resting against a pillar. The setting conveys a blend of natural and architectural features."
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
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  • DiffusionBee
PopColorEffectv2
162 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Jonjew's picture
Jonjew
Add 4 files
ae8c051 verified over 1 year ago
  • images
    Add 4 files over 1 year ago
  • .gitattributes
    2.31 kB
    initial commit over 1 year ago
  • README.md
    3.2 kB
    initial commit over 1 year ago
  • color-pop_v10-000021.safetensors
    159 MB
    xet
    Add 4 files over 1 year ago