Does DiffusionBee Send My Prompts or Images to the Cloud?

No. DiffusionBee runs generative AI locally on your Mac, and according to the product site, your prompts, models, and generated images never leave your device. Images are generated on your computer, with nothing sent to the cloud. This applies to the app's core workflow, including text-to-image, image-to-image, generative fill, and custom model training, all of which the site describes as running locally.

What “local” means in practice

DiffusionBee is a desktop app for macOS that packages Stable Diffusion and related creative tools into one application. Instead of sending a request to a remote server and waiting for a result, the model runs on your own hardware. The site states this directly in two places: the homepage describes the app as running “100% offline” and letting you “own your AI,” and the FAQ answers “Where are the images generated?” with “Images are generated locally on your computer. Nothing is sent to the cloud.”

That design has a few practical consequences:

• Privacy by default. Your prompts and output files stay on your machine. There is no cloud account step in the generation flow described on the site.
• Offline capability. Because processing is local, the generation itself does not depend on a network connection.
• You manage the files. Since nothing is uploaded, your generated images and any custom models you train live in your local storage, and backing them up is your responsibility.

Conditions and limits to know before relying on this

The privacy benefit is real, but it comes with hardware and platform conditions that affect whether the app is a good fit.

The speed figure is a useful benchmark: if 30 seconds per image on an entry-level Apple silicon laptop is acceptable for your workflow, local generation is practical. If you need rapid batch output, the same local-only design that protects your data also means your hardware sets the ceiling.

Where the “no cloud” claim does and doesn’t cover you

The site’s statements cover generation and model training: prompts, models, and generated images stay on the device. A few boundaries are worth keeping in mind, based on what the page does and does not say:

• Image usage rights are separate from privacy. The FAQ says you can freely use generated images as long as you comply with the CreativeML Open RAIL-M license. Local processing does not change the license terms attached to the model.
• Downloading the app and models is a separate step. The privacy claim concerns generation, not the initial acquisition of the software or model files.
• The site does not describe any cloud sync, account, or upload feature for prompts or images, so there is no documented cloud path for your creative content in the workflow described.

A concrete example

Suppose you are drafting concept art for an unreleased product and cannot risk prompt text or early visuals appearing on a third-party server. With DiffusionBee on a supported Mac, you type the prompt, the model runs on your machine, and the resulting image is written locally. On an 8GB M1 MacBook Air, the site’s stated benchmark is roughly 30 seconds per image, so a session of a few dozen iterations is a matter of minutes rather than seconds. Nothing in that loop requires the prompt or the output to leave the computer.

Bottom line

If your priority is keeping prompts and generated images on your own device, DiffusionBee’s local-only design matches that goal, provided you are on macOS 13.1 or later and accept hardware-bound generation speeds. If you are on Windows, need the fastest possible throughput, or want cloud-based collaboration features, this app’s local model is a constraint rather than an advantage.