APIMart 官方最新动态：FLUX.2 Klein 9B Workflow: Local Setup Guide

来源：APIMart 官方动态 | 发布日期：2026-10-09T00:00:00.000Z

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FLUX.2 Klein 9B Workflow: Local Setup Guide

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FLUX.2 Klein 9B Workflow: Local Setup Guide Run FLUX.2 Klein 9B in ComfyUI: model files, VRAM needs, 4-step settings, text-to-image and edit workflows, error fixes, and when hosted FLUX.2 fits better. Short answer: the fastest way to run FLUX.2 Klein 9B locally is ComfyUI with three files: the FP8 diffusion model from Black Forest Labs, the Qwen3 8B text encoder and the FLUX.2 VAE. Use the distilled checkpoint at 4 steps and CFG 1.0 for speed, or the Base checkpoint at 20 to 50 steps and CFG around 4 to 5 when you want more variety or plan to train LoRAs. The 9B weights are released under the FLUX Non-Commercial License, so check the licensing terms before you put the model itself into a paid product. If you do not want to manage a GPU, drivers and model files, the hosted Pro, Flex and Max models on APIMart cover the same text-to-image and reference-editing jobs through one API. APIMart does not host Klein itself; this guide is about running Klein on your own machine and shows where a hosted FLUX.2 model is the simpler choice. FLUX.2 Klein was released by Black Forest Labs on January 15, 2026, in 4B and 9B sizes, each as a 4-step distilled model and an undistilled Base model ( Klein 9B pairs a 9B flow transformer with an 8B Qwen3 text encoder and needs about 29GB of VRAM at full precision, according to the

更多技术细节可访问官方原文：https://apimart.ai/blog/flux-2-klein-9b-workflow-guide。