Instructions to use Jonjew/FelicityJones with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/FelicityJones 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/FelicityJones") prompt = "<lora:Felicity_Jones_Flux:1> The image is a high-resolution photograph of a woman with a fair complexion, Her dark brown hair is styled back, sophisticated updo. She has striking green eyes, She has fair skin. standing in cafe wearing a dress." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K