Instructions to use Jonjew/LisaEdelstein with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/LisaEdelstein 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/LisaEdelstein") prompt = "<lora:Jamie_Lee_Curtis_Flux:1.1> This is a beautiful photograph of a woman, short, light brown hair styled in a neat, slightly tousled fashion. She is wearing a boatneck dress. Standing in a cafe. Looking at the viewer. Smile." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee