Instructions to use crystantine/ShinMinAhFlux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use crystantine/ShinMinAhFlux 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("crystantine/ShinMinAhFlux") prompt = "A [trigger] woman with wavy dark brown hair, wearing an off-shoulder oversized brown knit sweater. She gazes softly toward the camera, slightly tilting her head, with her right hand gently brushing her hair. The lighting is warm, creating a cozy atmosphere." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee