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Mochi Diffusion

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What Mochi Diffusion is

Mochi Diffusion is a free, open-source macOS app for creating images locally with Core ML Stable Diffusion and FLUX.2 Klein models. It accepts text prompts and reference images, while FLUX.2 Klein can use up to four input images and may resize them to fit its limits. Generation runs offline on the Mac; the project says it collects no data or telemetry and sends nothing to the cloud. A built-in gallery supports importing, saving, and synchronizing images. Generated PNG files carry settings that AUTOMATIC1111-compatible tools and Civitai uploads can read. Stable Diffusion models must be converted for Core ML, whereas Klein models require no conversion. Each converted Stable Diffusion model is fixed to its conversion size. Klein generation uses four steps and excludes CFG, ControlNet, and negative prompts. It requires Apple Silicon M1 or later with macOS 15.6 or later. The GitHub project uses GPL-3.0 and accepts issue reports and contributions.

Who it suits

It suits Mac users who want offline text-to-image creation with local models. It is also relevant to users needing reference images, gallery management, or PNG settings compatibility.

What it does well

  • Free and open source
  • Works fully offline
  • Supports text and reference images
  • Built-in image gallery
  • PNG settings aid compatibility

What to know first

  • macOS and Apple Silicon only
  • Stable Diffusion models need conversion
  • Stable Diffusion size is fixed
  • Klein omits CFG and ControlNet

Verdict

Mochi Diffusion combines local, offline image generation with a gallery and metadata-bearing PNG output. Check the Mac requirements and model limitations before choosing it.

Facts from Mochi Diffusion's own pages

Compatibility
The stated requirements are an Apple Silicon Mac with M1 or later and macOS 15.6 or later. · github.com, 12 Oct 2026
FLUX.2 Klein inputs
FLUX.2 Klein can use up to four input images, which the app may resize to fit the attention budget. · github.com, 12 Oct 2026
FLUX.2 Klein limit
FLUX.2 Klein generation is limited to four steps and does not use CFG, ControlNet, or negative prompts. · github.com, 12 Oct 2026
Gallery
It includes a built-in gallery with image import, save, and sync support. · github.com, 12 Oct 2026
Hardware and OS
The project lists Apple Silicon (M1 and later) and macOS 15.6 or later as requirements. · github.com, 12 Oct 2026
Image metadata
Generated PNGs include generation settings that AUTOMATIC1111-compatible tools and Civitai uploads can read. · github.com, 12 Oct 2026
Input images
FLUX.2 Klein can use up to four input images, which the app may resize to fit pipeline constraints. · github.com, 12 Oct 2026
License
The GitHub repository identifies the project license as GPL-3.0. · github.com, 12 Oct 2026
Local generation
Image generation happens locally and offline, and the project says it sends nothing to the cloud. · github.com, 12 Oct 2026
Model limitation
Each converted Core ML Stable Diffusion model generates images at a fixed size baked in during conversion. · github.com, 12 Oct 2026
Model requirements
Using Mochi Diffusion requires Core ML Stable Diffusion or FLUX.2 Klein models. · github.com, 12 Oct 2026
Model support
The app supports Core ML Stable Diffusion models and FLUX.2 Klein models; Stable Diffusion models must be converted for Core ML, while Klein models need no conversion. · github.com, 12 Oct 2026
Offline generation
The app generates images locally and completely offline, and says that no data or telemetry is collected or sent to the cloud. · github.com, 12 Oct 2026
Privacy
The project says Mochi Diffusion collects no data or telemetry. · github.com, 12 Oct 2026
Purpose
Mochi Diffusion is a native macOS app for generating images locally with Core ML Stable Diffusion and FLUX.2 Klein models. · github.com, 12 Oct 2026
Reference images
Yes · github.com, 20 Sept 2026
Stable Diffusion limit
Each converted Core ML Stable Diffusion model can generate images only at the fixed size baked into that model. · github.com, 12 Oct 2026
Support
The project directs bug reports and feature requests to GitHub issues and code contributions to pull requests. · github.com, 12 Oct 2026
Support and contributions
The project directs bug reports and feature requests to GitHub Issues and welcomes code and translation contributions. · github.com, 12 Oct 2026
Text-to-image
Yes · github.com, 20 Sept 2026

Where Mochi Diffusion stands on Freedom251

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