Instructions to use Jonjew/ZavyFlourescent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/ZavyFlourescent 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/ZavyFlourescent") prompt = "zavy-flrscnt" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Zavy's Fluorescent - Flux

- Prompt
- zavy-flrscnt
Model description
FROM https://civitai.com/models/737408/zavys-fluorescent-flux
Trigger: zavy-flrscnt Strength 1
Introduction A LoRA to recreate fluorescence on various things. Let your imagination go wild with it.
Triggers zavy-flrscnt Zavy-flrscnc is a required trigger. Consider using other terms, such as: fluorescent, fluorescent dust, fluorescent spraypaint, glowing dust. These will help enhance the LoRA's effect, otherwise you may get a pretty bland image.
Recommended settings Strength between 0.7 and 1.3.
Trigger words
You should use zavy-flrscnt to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Jonjew/ZavyFlourescent
Base model
black-forest-labs/FLUX.1-dev