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
Add generated example
#8
by crystantine - opened
Generated example for model crystantine/ShinMinAhFlux.
Prompt: SHNMNAH, A young woman with MESSY BUN HAIR rests her head on her clasped hands. She wears a black top and a delicate bracelet on her left wrist. Her expression is soft and contemplative, with natural makeup and subtle pink lipstick. The background is dark and blurred, focusing on her face and hands.
crystantine changed pull request status to merged