Instructions to use Svngoku/AfricanLifeStyleFluxLora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Svngoku/AfricanLifeStyleFluxLora 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/AfricanLifeStyleFluxLora") prompt = "12k African lifestyle, marketing, lifestyle, happiness" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
Generated example for model Svngoku/AfricanLifeStyleFluxLora.
Prompt: A man stands in the center of an empty room, his silhouette cast against a soft white light. He is wearingElegant casual blazer for men, soft jersey fabric, off-white color, two-button closure, notch lapel, two front patch pockets, ribbed cuffs on sleeves, minimal logo on pocket, relaxed fit, sporty yet chic, worn over a plain white t-shirt with light grey cargo pants, outdoor daylight setting, fashion editorial photography, clean background, high detail,. The background features a smooth gradient from black to green that adds depth and contrast to the scene. There are no visible furniture or other objects, focusing attention on him alone with his shadow. This composition creates a sense of solitude within a minimalist setting, in the style of Scarlett Hooft Graafland in the style of African lifestyle