FLUX.2-klein

About

What FLUX.2-klein is

This is a GGUF quantized version of FLUX.2-klein-4B. <br unsloth/FLUX.2-klein-4B-GGUF uses Unsloth Dynamic 2.0 methodology for SOTA performance. - Important layers are upcasted to higher precision. - Uses tooling from ComfyUI-GGUF by city96. 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. For more information, please read our blog post. Key Features 1. Our fastest distilled model for sub-second image generation. 2. Best suited for interactive workflows, production deployments, and latency-critical applications. 3. Text-to-image and image-to-image multi-reference editing in a single unified model. 4. Runs on consumer GPUs (~13GB VRAM). 5. Open weights available for commercial use under the Apache 2.0 license. Usage We provide a reference implementation of FLUX.2 [klein] 4B, as well as sampling code, in a dedicated GitHub repository. Developers and creatives looking to build on top of FLUX.2 [klein] 4B are encouraged to use this as a starting point. API Endpoints The FLUX.2 [klein] 4B model is available via the BFL API: - bfl.ai FLUX.2 [klein] 4B is also available in both ComfyUI and Diffusers. Using with Diffusers 🧨 To use FLUX.2 [klein] 4B with the 🧨 Diffusers python library, first install or upgrade diffusers: Then you can use Flux2KleinPipeline to run the model: Limitations - This model is not intended or able to provide factual information. - While the model can output

Summarised from the published model card. Read the full card on the HuggingFace links below.

Specifications

What it is

How it works

How image models work

Variants

Sizes & precisions

Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys unsloth-flux-2-klein for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (unsloth-flux-2-klein below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/images/generations \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"unsloth-flux-2-klein","prompt":"a red bicycle","size":"1024x1024"}'

Details

Languages, data & research

Licence

Commercial licence needed

Sources

Weights & code

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