Instructions to use Svngoku/AfricanHairFluxLora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Svngoku/AfricanHairFluxLora 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("Svngoku/AfricanHairFluxLora") prompt = "Photography of styled Afro Hair, style instagram png" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#5
by Svngoku - opened
Generated example for model Svngoku/AfricanHairFluxLora.
Prompt: Photography of styled Afro Hair, style well dressed woman from America png with a red shirt and beautiful smile
Svngoku changed pull request status to merged