Instructions to use Lakonik/AsymFLUX.2-klein-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lakonik/AsymFLUX.2-klein-9B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lakonik/AsymFLUX.2-klein-9B", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
youtube showcase!
#4
by realrebelai - opened
i decided to do a youtube showcase for the model as i didnt see anyone jump on it immediately. very strange because the model is a COMPLETE upgrade from the base model.
heres the showcase and a few gens from testing, great work guys and thank you for your contributions to the community!




