how to run Flux locally in 2026 — the best AI image model, on your own GPU

Flux makes the best AI images you can generate at home, and you can run it on a normal GPU — even a 12GB card, thanks to quantized versions. Here's… Aliteq Lena Fischer · AI & Local Compute Editor

Tool: ComfyUI — the standard for local image generation, best VRAM efficiency and model support.

Flux.1 Dev (12B) — the quality standard: ~10-12GB VRAM, or ~6-7GB with a GGUF Q4 quant.

Flux.1 Schnell (4B distilled) — faster, Apache-licensed, runs on ~8GB.

Flux.2 exists (bigger/better) — Klein 9B fits 16GB, Klein 4B runs 12GB; full Dev needs 24GB+.

Low on VRAM? Use FP8 or GGUF quants — FP8 nearly halves VRAM with minimal quality loss.

It's free, private, and offline — no Midjourney subscription, unlimited images.

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