Instructions to use ms2stationthis/aoiflux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ms2stationthis/aoiflux 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("ms2stationthis/aoiflux") prompt = "This is a digital anime-style illustration featuring a young aoi with long, flowing turquoise hair that has a slight curl at the end. Her hair is parted down the middle and cascades down past her waist, framing her face and shoulders. She has large, expressive blue eyes that are slightly narrowed, giving the aoi a thoughtful or contemplative expression. Her skin is fair, and she has a petite, slender build." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
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