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🤖FLUX 3 Image Klein: 5.6B Param Text-to-Image Model

Smallest open model with 5.6B params, 91 Elo gain

TL;DR

FLUX 3 Image Klein, a 5.6B parameter model for text-to-image generation, offers 91 Elo gain over FLUX.2 [klein]. It's the smallest open model, with 4K generation and low-latency options.

FLUX 3 Image Klein, a 5.6B parameter model, is now available for text-to-image generation, image editing, and multi-reference generation. It's the smallest open model, offering 91 Elo gain over FLUX.2 [klein] and 70 in image editing. The model supports native 4K generation, pixel-perfect editing, and bounding boxes for precise control. With a base model and step-distilled version for low-latency generation, it's optimized for NVIDIA GPUs and available under the FLUX Kommunity License, allowing free commercial use for small businesses. If you're looking for a lightweight, high-performance model, this is a must-watch.

FLUX 3 Image Klein: 5.6B Param Text-to-Image Model — bfl.ai

Key Points

1

FLUX 3 Image Klein has 5.6B parameters, compared to 7B for Qwen-Image 2.1 and 12.9B for Krea 2.

2

The model gains 91 Elo in text-to-image generation and 70 in image editing, with 38% fewer parameters.

3

The base model requires 11.2 GB in BF16 and 5.6 GB in FP8, while the INT8 build runs on NVIDIA GeForce RTX GPUs with as little as 8GB VRAM.

4

The step-distilled model generates a 1MP image in about 4 seconds on an NVIDIA GeForce RTX 5090 and under 9 seconds on an RTX 4070.

5

Pricing starts at $0.009 per 1K image, and the model is available on Hugging Face Spaces.

Why It Matters

If you're working on text-to-image projects with limited GPU resources, FLUX 3 Image Klein's 5.6B parameters and low-latency generation make it a game-changer. It's ideal for startups and small teams with tight budgets, offering significant performance gains over larger models at a fraction of the cost. However, larger teams with more extensive requirements might still prefer the full FLUX 3 Image model.

FLUX 3 Image Kleintext-to-imageimage editinglow-latencyNVIDIA

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