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
#4
by kukuhtw - opened
Generated example for model kukuhtw/myflux.
Prompt: Kukuh TW, Man wearing stylish sunglasses taking a selfie on Miami Beach, his face clearly visible with a bright smile. The sunny beach stretches behind him with golden sand and clear blue water. In the background, beachgoers, including women in bikinis, are enjoying the lively and vibrant atmosphere. The man’s cheerful expression captures the fun and relaxed vibe of this iconic location, with his sunglasses reflecting the bright Florida sun.