Image-to-Image
Diffusers
Safetensors
Diffusion Single File
English
Flux2KleinPipeline
text-to-image
image-editing
flux
Instructions to use unsloth/FLUX.2-klein-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use unsloth/FLUX.2-klein-4B 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("unsloth/FLUX.2-klein-4B", 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 unsloth/FLUX.2-klein-4B 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
- Notebooks
- Google Colab
- Kaggle
| FLUX.2 [klein] is licensed under the Apache License, Version 2.0. | |
| Copyright Black Forest Labs Inc.. | |
| This repository is an unmodified mirror of black-forest-labs/FLUX.2-klein-4B, republished by Unsloth so that a quantised | |
| checkpoint of this model can source its companion components (VAE, text encoder, tokenizer, | |
| scheduler) from a single org. The weights are byte for byte those of the source repository. | |
| Not an official Black Forest Labs product and not endorsed by Black Forest Labs. | |
| See LICENSE for the full terms, which are the upstream terms and are unchanged. | |