Instructions to use AiAF/Uniquesora_LoRA_Flux1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiAF/Uniquesora_LoRA_Flux1 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("AiAF/Uniquesora_LoRA_Flux1") prompt = "uniquesora \\(Person\\), @unique sora, @uniquesora,Photo of a woman with long, wavy black hair, wearing a white off-the-shoulder bodysuit, She has a neutral expression and is looking directly at the camera. The background is a plain, light grey wall. The lighting is soft and natural, The image has a high-quality, professional feel." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
#12
by AiAF - opened
Generated example for model AiAF/Uniquesora_LoRA_Flux1.
Prompt: uniquesora (Person), @unique sora, @uniquesora, A photo of a woman in a traditional Japanese kimono, medium breasts,holding a hand fan, with a gray background. her hair is pulled back in a ponytail, and she has a serious expression on her face. the background is a textured gray with vertical japanese text
AiAF changed pull request status to merged