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
#7
by Svngoku - opened
Generated example for model Svngoku/AfricanLifeStyleFluxLora.
Prompt: 8K realistic afrochic decoration with a cozy vibe specific to comoro weather on a beautiful sunny day, bentwood, light black and amber, digital illustration, handcrafted beauty, hand-painted details with the style of African lifestyle
Svngoku changed pull request status to merged