Instructions to use Jonjew/GillianJacobs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/GillianJacobs 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/GillianJacobs") prompt = "This photograph captures a scene in a classroom setting. The main focus is on a young woman called GillianJacobs, a blonde with wavy hair, sitting at a wooden desk in the foreground. She has a serious, contemplative expression and is dressed in a casual outfit: a black leather jacket over a grey graphic tee with blue text. The tee appears to have a design that says \"BRAVE\" prominently. She wears a delicate necklace with a small pendant and her hands are resting on the desk, her fingers intertwined." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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