Instructions to use Jonjew/ClaudiaWells1986 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/ClaudiaWells1986 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/ClaudiaWells1986") prompt = "<lora:claudia-wells-ca1986-000008:1> woman, long dark curly hair, pastel pink denim jacket with the collar flipped upwards, white dress shirt with tiny blue flowers, sitting on park bench, background is a 19th century building with a clock tower, the clock tower is being struck by a huge bolt of lightning., <lora:zz_s_Chest_Size_Slider:-2>, Looking Directly At The Viewer, Centered, Body Perpendicular to Viewer, Looking Directly At The Camera, Making Eye Contact, Looking Straight Ahead, Big Smile, Extremely Red Lips, Very Dark And Long Eyelashes, Shiny Thick Hair Styled In Curls, Dark Red Blush, Very Colorful Eyeshadow And Eyeliner, Copious Amounts Of Foundation, Much Highlighter, Lots Of Extravagant Silver And Diamond Jewelry.âââ" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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