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 Settings
- Draw Things
- DiffusionBee
Add generated example
#3
by crystantine - opened
Generated example for model crystantine/ShinMinAhFlux.
Prompt: Portrait of a young Asian SHNMNAH woman with wavy blonde hair, wearing a light blue shirt, leaning forward on a wooden table, resting her chin on one hand. Her expression is soft and relaxed, with piercing blue eyes and a subtle smile. The background is a warmly lit indoor space with wooden ceiling beams, creating a cozy and intimate atmosphere
crystantine changed pull request status to merged