Gauss

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Gauss is a Stable Diffusion app for macOS, built with SwiftUI and Apple's CoreML models. It enables local image generation directly on macOS devices, storing outputs in Gauss Notebook files.

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At a glance

Pricing

—

Free tier

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API

Skill level

Mixed

About

What is Gauss?

Gauss is a native macOS application designed for generating images using Stable Diffusion. It leverages Apple's ml-stable-diffusion CoreML models, allowing users to perform image generation tasks entirely on their local macOS devices without requiring an internet connection for processing. The app is structured around a document-based approach, where all generated images and associated data are saved within proprietary Gauss Notebook files. This open-source project provides a streamlined experience for macOS users interested in local AI image creation.

Best used for

Generating AI images locally on macOS devices using Stable Diffusion without relying on cloud services.

Common actions

Generate images

Create art

Run AI locally

Experiment with Stable Diffusion

Design graphics

deepfakecollaborationopen-sourceautomated workflowlow-code/no-code"AI Agents"face swappinggithub copilotworkflows

Capabilities

Key features

Stable Diffusion
macOS native
Local image generation
CoreML models
Document-based

Target Audience

macOS usersDesignersDevelopersArtists

Integrations

Not yet documented

Pricing & Plans

unknown

Free

FAQs

Is Gauss free to use, given it's an open-source project?

Yes, Gauss is an open-source application, meaning the source code is freely available. You can compile and use it without direct cost. However, it relies on Apple's CoreML models for Stable Diffusion, which are also generally free to download and use.

Does Gauss require an internet connection to generate images?

No, one of Gauss's key features is local image generation. Once the necessary CoreML models are downloaded to your macOS device, all image generation tasks are performed offline, ensuring privacy and consistent performance without internet dependency.

What kind of hardware is recommended for running Gauss effectively?

Gauss leverages Apple's CoreML, so it benefits significantly from Apple Silicon (M-series chips) for optimal performance. While it might run on Intel-based Macs with sufficient RAM and a dedicated GPU, M-series Macs will provide a much faster and smoother experience for image generation.

Can I use my own custom Stable Diffusion models with Gauss?

Gauss is designed to work with Apple's ml-stable-diffusion CoreML models. While it might be possible to convert other Stable Diffusion models to the CoreML format, direct support for arbitrary custom models (e.g., in .ckpt or .safetensors format) is not a primary feature. It focuses on the optimized CoreML ecosystem.

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