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Генерация выполняется на Mac; приложение также может работать без подключения к сети.\n\n- Встроенная галерея поддерживает импорт, сохранение и синхронизацию изображений.\n- Созданные изображения сохраняются в PNG вместе с настройками генерации, которые могут считывать совместимые инструменты.\n- В рабочих процессах Stable Diffusion можно использовать исходное изображение или ControlNet.\n- Модели FLUX.2 Klein запускаются через конвейер с нативным ускорением GPU Metal; при генерации Klein можно использовать до четырёх входных изображений.\n\nУстановите приложение командой `brew install --cask mochi-diffusion`. Для cask нужен Mac с Apple Silicon и macOS Sequoia или новее; в проекте указана совместимость с macOS 15.6 и новее. После установки отдельно получите совместимые файлы моделей Core ML Stable Diffusion или FLUX.2 Klein и поместите их в папку моделей приложения. Модели Core ML Stable Diffusion необходимо преобразовать для оборудования Apple; моделям FLUX.2 Klein преобразование не требуется. Каждая преобразованная модель Stable Diffusion поддерживает фиксированный размер изображения. 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В примечаниях к выпуску указано, что такие метаданные могут считываться при загрузке изображений на сайты вроде civit.\n\n[Официальные примечания к выпуску](https:\u002F\u002Fgithub.com\u002FMochiDiffusion\u002FMochiDiffusion\u002Freleases\u002Ftag\u002Fv6.2)","2026-09-30T04:11:38Z",6791,"2026-09-30T03:56:55Z",[75],{"area":76,"items":77},"Метаданные",[78,79,80],"Используется Musubi для метаданных","Читаются распространённые форматы других генераторов","В изображения добавляются метаданные для Automatic1111","editorial","en-US","Для работы с метаданными используется Musubi; добавлено чтение распространённых форматов других генераторов изображений и запись метаданных, совместимых с Automatic1111.","Mochi Diffusion 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