Instructions to use Svngoku/AfroInfluencerStyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Svngoku/AfroInfluencerStyle 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/AfroInfluencerStyle") prompt = "12k picture of an Afro American Modern Woman influencer well dressed, instagram" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
#2
by Svngoku - opened
Generated example for model Svngoku/AfroInfluencerStyle.
Prompt: Scene & Framing • 9:16 vertical beauty close-up of the an Afro American Modern Woman model, angled slightly three-quarter so we see cheek, eye, and lips. • The iljé Morning Dew blush stick remains hero: held at mid-cheek, logo fully legible, balm gently touching skin. • Tight crop--just enough negative space around product to breathe. Lighting & Mood • Replace cool studio key with a single warm, late-afternoon bounce--think golden-hour window light. • Use a subtle fill reflector to soften shadows, but keep micro-contrast so pores, soft peach-fuzz, and natural sheen all show. • Overall tone: sun-kissed, elegant, intimate
Svngoku changed pull request status to merged