Ollama 在 macOS 上线实验性图像生成功能
Image generation (experimental) · Ollama Blog
Ollama 在 macOS 上支持图像生成,Windows 和 Linux 版本即将推出,生成的图片默认保存到当前目录,Ghostty、iTerm2 等终端可内联预览。首批支持阿里通义实验室的 Z-Image Turbo(60 亿参数,Apache 2.0,支持中英文文字渲染)和 Black Forest Labs 的 FLUX.2 Klein(4B 为 Apache 2.0,9B 为 FLUX 非商用许可 v2.1)。用户可通过 /set width、/set height、步数、随机种子和负面提示词调节生成结果。
正文
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January 20, 2026
Ollama now supports image generation on macOS, with Windows and Linux coming soon.
Images save to your current directory. Terminals that support image rendering (Ghostty, iTerm2, etc.) can preview images directly inline.
Z-Image Turbo
Z-Image Turbo is a 6 billion parameter text-to-image model from Alibaba’s Tongyi Lab. It generates photorealistic images and handles bilingual text rendering in both English and Chinese.
Photorealistic output: Strong at generating realistic photographs, portraits, and scenes; Bilingual text rendering: Accurately renders both English and Chinese text in images; Apache 2.0: Open weights available for commercial use
Black Forest Labs’ fastest image-generation model to date, available in 4B and 9B parameter sizes.
FLUX.2 Klein handles readable text in images well, useful for UI mockups and designs with typography.
4B model: Apache 2.0, fully open for commercial use; 9B model: FLUX Non-Commercial License v2.1
Customize image generation with these parameters:
Image location
Generated images save to your current directory. Change directories in your terminal to save images elsewhere.
Image sizes
Modify width and height using the /set width and /set height commands. Smaller images generate faster and use less memory.
Number of steps
Steps control how many iterations the model runs. Fewer steps = faster but less detailed. Too many steps can cause artifacts. Ollama defaults to the recommended step count for each model.
Random seed
Set a seed for reproducible results, useful for iterating on a subject or sharing exact outputs. Different seeds produce different images, even with the same prompt.
Negative prompts
Negative prompts guide the model on what you don’t want in the image.
What’s next
Windows and Linux support; Additional image generation models, and image editing