Instructions to use liming518/klein9bskimmy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use liming518/klein9bskimmy 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.2-klein-9B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("liming518/klein9bskimmy") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Civitai lora for Flux2.klein.9b
Demo images i made with this lora

- Prompt
- -
- Downloads last month
- 20
Model tree for liming518/klein9bskimmy
Base model
black-forest-labs/FLUX.2-klein-9B