---
title: FLUX.2-Klein-4B-4bit
canonical_url: "https://www.modelscope.cn/models/mlx-community/FLUX.2-Klein-4B-4bit"
md_url: "https://www.modelscope.cn/models/mlx-community/FLUX.2-Klein-4B-4bit.md"
repository: mlx-community/FLUX.2-Klein-4B-4bit
last_updated: 2026-05-29
license: apache-2.0
pipeline_tag: image-to-image
tasks:
  - image-to-image
base_model:
  - black-forest-labs/FLUX.2-klein-4B
base_model_relation: finetune
parameters: 1.3B
tensor_type:
  - F32
  - BF16
  - U32
library_name:
  - lora
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - en
downloads: 319
stars: 0
tags:
  - text-to-image
  - image-editing
  - flux
  - diffusion-single-file
---

# FLUX.2-Klein-4B-4bit

> FLUX.2-Klein-4B-4bit - mlx-community 在 ModelScope 开源的模型。This model is 4-bit quantized and the original model at

mlx-community/FLUX.2-Klein-4B-4bit 是 ModelScope 魔搭社区上的 1.3B 参数image-to-image模型，采用 apache-2.0 许可，基于 black-forest-labs/FLUX.2-klein-4B 构建。

- **Repository**: mlx-community/FLUX.2-Klein-4B-4bit
- **License**: apache-2.0
- **Tasks**: image-to-image
- **Parameters**: 1.3B
- **Base model**: black-forest-labs/FLUX.2-klein-4B
- **Tags**: text-to-image, image-editing, flux, diffusion-single-file
- **Downloads**: 319
- **Stars**: 0
- **Last updated**: 2026-05-29

Source: https://www.modelscope.cn/models/mlx-community/FLUX.2-Klein-4B-4bit

---

This model is 4-bit quantized and the original model at <https://huggingface.co/black-forest-labs/FLUX.2-klein-4B>

The FLUX.2 [klein] model family are our fastest image models to date. FLUX.2 [klein] unifies generation and editing in a single compact architecture, **delivering state-of-the-art quality with end-to-end inference in as low as under a second**. Built for applications that require real-time image generation without sacrificing quality, and runs on consumer hardware, with as little as 13GB VRAM.

FLUX.2 [klein] 4B is a 4 billion parameter rectified flow transformer capable of generating images from text descriptions and supports multi-reference editing capabilities.

Fully open under Apache 2.0. Our most accessible model runs on consumer GPUs like the RTX 3090/4070. Compact but capable: supports text-to-image, image editing, and multi-reference at quality that punches above its size. Built for local development, edge deployment, and production use.