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
#4
by crystantine - opened
Generated example for model crystantine/ShinMinAhFlux.
Prompt: SHNMNAH, photograph of a breathtaking woman, slight angle, long black hair, fair complexion, light makeup, luxurious futuristic dress, sitting on a wooden rocking chair on her backyard patio, legs crossed, early morning, drinking coffee, bright sunny day
crystantine changed pull request status to closed