使用 Homebrew Cask 安装 mochi-diffusion

项目链接

• 主页
• 软件包管理器页面

命令和别名

本地软件包数据库中没有找到可执行别名。

项目历史

Mochi Diffusion began as an open-source native macOS front end for Stable Diffusion. The project later moved to the MochiDiffusion GitHub organization and expanded beyond its original Stable Diffusion workflow with image-to-image generation, ControlNet, galleries, custom Core ML models, and FLUX.2 Klein support.

采用历史

The project attracted Mac users seeking local image generation without a hosted service or a manually assembled Python environment. Its official repository reports thousands of stars and community contributions.

使用方式

Users obtain compatible Core ML models, choose an appropriate compute unit, enter prompts, and generate images locally and offline. The application also supports image-to-image workflows, ControlNet, EXIF prompt metadata, and a built-in gallery.

为什么软件包爱好者会关心

Mochi Diffusion packages Core ML model execution and a native SwiftUI interface as an ordinary macOS application, making Apple-specific local inference accessible through desktop package management.

时间线

• 2022: Mochi Diffusion emerged during the first wave of native Stable Diffusion clients.
• 2025: Official conversion documentation covered preparing Stable Diffusion models for Core ML.
• 2026: The project documented Stable Diffusion and FLUX.2 Klein support.

Related projects

• The application builds on Apple's Core ML Stable Diffusion implementation and supports converted Stable Diffusion and FLUX.2 Klein models.

来源

• https://github.com/MochiDiffusion/MochiDiffusion#readme
• https://github.com/MochiDiffusion/MochiDiffusion/wiki