Instructions to use Jonjew/JulieBenz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/JulieBenz 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/JulieBenz") prompt = "This photograph features julie_benz with long, platinum blonde hair, styled straight. She is smiling warmly at the camera, exuding holiday cheer. She wears a classic Santa hat, red with white trim and white fur at the brim, adorned with sparkling white stars. The hat matches her festive attire, which includes a red scarf and matching gloves. The gloves are thick and knitted, adding a cozy, winter feel to her outfit. Her makeup is subtle yet accentuating, with a focus on her bright greenish-blue eyes and full lips. The background is a soft bokeh effect, with out-of-focus, colorful lights that create a festive, Christmas ambiance. The lights are predominantly white and gold, adding warmth and a sense of celebration. The overall mood of the photograph is joyful and festive, with the subjectâs expression and attire evoking holiday cheer." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K