Instructions to use black-forest-labs/FLUX.2-klein-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use black-forest-labs/FLUX.2-klein-9B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.2-klein-9B", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Diffusion Single File
How to use black-forest-labs/FLUX.2-klein-9B with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Inference
- Notebooks
- Google Colab
- Kaggle
- AMD Developer Cloud
Why not Apache 2.0 as the announcment back then said
Was the Flux 2 klein series not supposed to be Apache 2 ? Is there a reason it is not ?
Below from your announcement back then:
FLUX.2 [klein] (coming soon): Open-source, Apache 2.0 model, size-distilled from the FLUX.2 base model. More powerful & developer-friendly than comparable models of the same size trained from scratch, with many of the same capabilities as its teacher model. Join the beta.
I also expected this to be apache 2.0 license
Yes, I know but lets be honest the 4B is quite disappointing and worse than some SDXL models in ways.
Also their announcement made it sound like all of the klein models.
Was hoping for an official answer but I guess not.
