Instructions to use Jonjew/AlexandraDaddario with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/AlexandraDaddario 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/AlexandraDaddario") prompt = "A closeup instagram selfie photo of a woman with slightly wavy middle parted hair and dewey fresh skin, she is looking at the viewer with her mouth closed and a serious but relaxed expression. Photo taken in a well lit bathroom with white tiling and volumetric ray lighting. In the background towels are visible as well as shower lotions and shampoos in a light brown straw basket and a small artificial plant for atmospheric reasons., <lora:Alexandra_Daddario_FLUX_v1_merger_40_58_03_07:1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K