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
- Draw Things
- DiffusionBee
Add generated example
#7
by kukuhtw - opened
Generated example for model kukuhtw/myflux.
Prompt: Kukuh TW, Man a man smiling in a private room while depositing large stacks of money and 100 gold bars. The man appears confident and relaxed. The room has a professional setting with luxurious decor, and a security guard is watching attentively in the background, ensuring the safety of the assets.