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MODEL Listed

FLUX.2 klein 4B

FLUX.2 klein 4B is a streamlined image-to-image model designed for developers who need a balance between generation quality and inference speed. With a 4-billion parameter architecture, it provides a lightweight alternative to larger diffusion models, making it suitable for deployment in environments with tighter VRAM constraints without sacrificing significant visual fidelity. The model excels at structural transformations and style transfers, allowing developers to implement precise image manipulation workflows. Licensed under Apache-2.0, it offers the flexibility needed for commercial integration. Compared to its larger counterparts, klein 4B reduces latency and operational costs, making it an ideal choice for real-time applications or iterative prototyping in creative toolsets.

black-forest-labsimage-to-image
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01 / MODEL CARD

Model card

FLUX.2 klein 4B is a streamlined image-to-image model designed for developers who need a balance between generation quality and inference speed. With a 4-billion parameter architecture, it provides a lightweight alternative to larger diffusion models, making it suitable for deployment in environments with tighter VRAM constraints without sacrificing significant visual fidelity. The model excels at structural transformations and style transfers, allowing developers to implement precise image manipulation workflows. Licensed under Apache-2.0, it offers the flexibility needed for commercial integration. Compared to its larger counterparts, klein 4B reduces latency and operational costs, making it an ideal choice for real-time applications or iterative prototyping in creative toolsets.

Model typeimage-to-image
Providerblack-forest-labs
Licenseapache-2.0
02 / FILES & VERSIONS

Model files and versions

Model cardModel description and metadata available in this entry
Listed
Source repositoryhttps://huggingface.co/black-forest-labs/FLUX.2-klein-4B
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Version informationUse the source repository for the latest version
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03 / DOWNLOAD

Download this model

We recommend using the ModelScope CLI or SDK. Install ModelScope first, then choose a full snapshot, single file, SDK or Git LFS workflow.

This entry points to Hugging Face. The commands use the matching ModelScope repository format; confirm that the repository exists on ModelScope before running them. Model repository: black-forest-labs/FLUX.2-klein-4B
Install ModelScope

Install the CLI and SDK dependency before downloading.

pip install modelscope
Download the full model repository

Download the complete weights, configuration and model card.

modelscope download --model black-forest-labs/FLUX.2-klein-4B
Download one file to a local directory

README.md is used as an example; replace it with another repository file when needed.

modelscope download --model black-forest-labs/FLUX.2-klein-4B README.md --local_dir ./dir
Download with the SDK

Useful in Python projects and automation scripts.

from modelscope import snapshot_download
model_dir = snapshot_download('black-forest-labs/FLUX.2-klein-4B')
Clone with Git

Make sure Git LFS is installed correctly.

git lfs install
git clone https://www.modelscope.cn/black-forest-labs/FLUX.2-klein-4B.git
Clone without downloading LFS blobs

Fetch the repository structure first, then pull large files when needed.

GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/black-forest-labs/FLUX.2-klein-4B.git
04 / WORKFLOW

How to use

  1. 01
    Step 1

    Read the model card and source information.

  2. 02
    Step 2

    Start with a small, non-sensitive evaluation.

  3. 03
    Step 3

    Review quality, licensing and usage limits.

  4. 04
    Step 4

    Adopt it only after validation.

05 / DISCUSSIONS

Discussions

Use this space to keep checking source information, usage experience and maintenance status.

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