Instructions to use kukuhtw/myflux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kukuhtw/myflux 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("kukuhtw/myflux") prompt = "kukuhtw" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#5
by kukuhtw - opened
Generated example for model kukuhtw/myflux.
Prompt: KukuhTW Man wearing stylish sunglasses taking a selfie in front of the Leaning Tower of Pisa, Italy, his face clearly visible with a bright smile. The iconic tilted tower rises in the background against a clear blue sky, while the man’s relaxed and happy expression captures the joy of exploring this famous landmark. The warm Italian sunlight reflects off his sunglasses, adding a touch of charm to the vibrant scene