Instructions to use aiPhone13/Nina with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aiPhone13/Nina 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("aiPhone13/Nina") prompt = "“A portrait of a 40-year-old woman named Nina in Paris. She is wearing a sleek, form-fitting black evening gown that highlights her elegant silhouette. The backdrop features a softly blurred view of the Eiffel Tower illuminated at night, adding a romantic ambiance to the composition.”" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ctrl+K