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
#14
by kukuhtw - opened
Generated example for model kukuhtw/myflux.
Prompt: Kukuh TW, Man taking a selfie at Charyn Canyon, Kazakhstan. Man stands on the edge of the dramatic canyon, which features towering rock formations and deep valleys. The red and orange hues of the rocks contrast against the clear blue sky, creating a breathtaking view of one of Central Asia’s natural wonders.