Instructions to use Khruna/saja with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Khruna/saja 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("Khruna/saja") prompt = "a (portrait, upper body focus) photograph of (1girl, 24 years old, slight smile)>,<lora:ZH_DishaPSD1.5_v1_r1:0.9>, zh_dishap, solo, realistic, brown eyes, dark skin, looking at viewer, make-up, wearing (dress)," image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!