Instructions to use Keltezaa/KLEIN_Unchained_V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Keltezaa/KLEIN_Unchained_V2 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-base-9B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Keltezaa/KLEIN_Unchained_V2") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Downloads last month
- 802
Model tree for Keltezaa/KLEIN_Unchained_V2
Base model
black-forest-labs/FLUX.2-klein-base-9B