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
#3
by kukuhtw - opened
Generated example for model kukuhtw/myflux.
Prompt: Kukuh TW, Man wearing torn and tattered casual clothes, taking a selfie while being chased by a gigantic T-Rex 65 million years ago. His face shows a mix of shock and amusement, with the massive dinosaur roaring in the background, stomping through a prehistoric jungle. The chaotic scene captures the urgency of escape as the ancient trees and plants sway from the T-Rex's approach, creating a thrilling and intense atmosphere.**