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Parameters 12BApache-2.0Estimated

FLUX.1 [schnell]

本地文生图的 12B 模型,8GB 显存可用低显存模式跑。

Official source:https://github.com/black-forest-labs/fluxBlack Forest LabsYou are leaving AIWorksWell for Black Forest Labs. That site is not under our control; its content, privacy and security are its own responsibility. Please judge for yourself.

What hardware it needs

Estimated
Parameters
12B
Architecture
Diffusion
Context
—
License
Apache-2.0
Min VRAM
8G
RAM (CPU-only)
16G
Download size
—G

Requirements by quantisation

The same model at different quantisations is a different download — the most common misjudgement in local AI.

Suggested quantisationSizeMin VRAMQuality
F1648G55GOriginal precision
Q8_025.4G29GPractically lossless
Q6_K19.7G23GNear lossless
Q5_K_M17G20GVery good
Q4_K_M★14.6G17GBest value for most people
Q3_K_M12G14GNoticeable loss
Q2_K9.1G10GLast resort only

Method:显存为 F16 档参考

Your device

A plain-language profile of every model you can run yourself: parameter count, hardware it needs, which quantisation fits. No rankings, no prices — just what it takes to run.

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Install prompt

Copy it, paste it into your AI (Claude Code, Codex, ChatGPT…), and it installs and verifies for you.

44 lines
我需要你帮我在我的机器上安装并运行一个软件。

【软件信息】
名称:FLUX.1 [schnell]
用途:本地文生图的 12B 模型,8GB 显存可用低显存模式跑。
官方来源:https://github.com/black-forest-labs/flux
许可:Apache-2.0
Scroll inside the box with your mouse wheel — copying still gives you the full prompt1233 chars

Copy → paste into your own AI → it installs for you

About this entry

它是什么

扩散模型的显存需求与文本模型不同:权重之外还要留给潜空间与采样过程,所以同样 12B,图像模型的显存调度更敏感(可用分步卸载)。来源:https://github.com/black-forest-labs/fluxhttps://github.com/black-forest-labs/flux

怎么用起来

本地跑:ComfyUI 或 diffusers;8GB 显存可用顺序卸载模式,出图慢一些但能出。来源:https://github.com/black-forest-labs/fluxhttps://github.com/black-forest-labs/flux

以上坑来自 https://github.com/black-forest-labs/fluxhttps://github.com/black-forest-labs/flux 与官方文档。

来源与署名

Mentioned from:https://github.com/black-forest-labs/fluxhttps://github.com/black-forest-labs/flux · 原作者 Black Forest Labs(Apache-2.0)。