Instructions to use Jonjew/RutaLee with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/RutaLee 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/RutaLee") prompt = "SFW, brightly lit, blond hair, aidmaimageupgrader, A professional, close-up portrait of a radiant woman at a prestigious movie premiere gala event. She wears an elegant, high-neck evening gown with intricate detailing, made of luxurious fabric that shimmers subtly under the event lighting. Her smile is warm and poised, exuding confidence and grace. The background features a beautiful nighttime setting with a soft bokeh effect from city lights and camera flashes, creating a dreamy, cinematic atmosphere. The composition highlights her refined facial features, with expertly applied makeup enhancing her natural beauty. Her hair is styled in an elegant updo or flowing in soft waves, complementing her sophisticated look. Rendered in a professional photography style, the image captures the interplay of light and shadow, ensuring a polished, high-quality result that embodies the glamour of a red carpet event.<lora:pony\\Letha_Weapons_Pony_-_Adult_Actress_and_Model.safetensors:1.0:1.0> <lora:flux\\custom\\celebrity\\ruta-lee.safetensors:1.0:1.0> <lora:turbo-8-step-flux.safetensors:0.5:0.5> <lora:flux\\style\\Common\\aidmaImageUprader-FLUX-v0.3.safetensors:0.25:0.25>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K