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
#2
by crystantine - opened
Generated example for model crystantine/ShinMinAhFlux.
Prompt: A young SHNMNAH woman seated casually on the ground, leaning slightly against a cushion or wall. She wears a loose-fitting brown button-up shirt dress with rolled-up sleeves. One leg is extended, and the other is bent at the knee in a relaxed pose. Her hair is styled in a messy bun, and she gazes slightly off-camera with a calm expression. The background features soft, blurred elements like cushions and bottles, enhancing the laid-back, outdoor atmosphere.
crystantine changed pull request status to merged