Instructions to use AiAF/s_uaang_LoRA_Flux1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiAF/s_uaang_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/s_uaang_LoRA_Flux1") prompt = "s_uaang \\(person\\), @s_uaang, Photo of a woman with long black hair, wearing a gray sweater and a yellow and white striped scarf, sitting in a bus, smiling at the camera. She is holding her hand near her mouth, and there are other passengers visible in the background. The bus has a metal frame and the windows are tinted. The lighting is bright and natural, coming from outside. The woman has a neutral expression and is looking directly at the viewer. The image is high quality" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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