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
#8
by Svngoku - opened
Generated example for model Svngoku/AfricanLifeStyleFluxLora.
Prompt: 2D ultra realistic photos of 2 Africans going to in fun, about the culture, history, and customs of the language and its people. 2D learning mobile app, illustrations, persona, African languages, Africa vibes, gamification with the style of African lifestyle
Svngoku changed pull request status to merged