Draw Things replaces 16 paid apps
One genuinely free tool, 16 subscriptions it can stand in for. Each pairing below is curated and verified by hand, with the honest catch spelled out. No votes, no pay-to-list.
licenseGPL-3.0
runsyour machine or their cloud
installInstall the signed app from Apple's App Store on macOS, iPhone, or iPad
enginesRuns supported Stable Diffusion, SDXL, FLUX, and video models locally, including imported checkpoints and LoRAs; optional cloud compute can offload generation
dataProjects, models, history, and generated media live in the app sandbox; on macOS model files are under the app container, while cloud offload sends prompts and media for processing
setupApple hardware is required, and the first model download is large; older devices can be slow or memory-limited
facts verified 2026-08-10
Una galería local con ajustes, semillas y reejecuciones conservadas; excelente para experimentos en hardware de Apple.
the catchIt is Apple-only and comparison is more manual, while text rendering and style consistency depend on the model you install.
the verdict →all Ideogram alternatives →
Galería local, lienzo infinito, máscaras y ajustes conservados en hardware de Apple.
the catchIt has a good local gallery and canvas, but no web sharing, team or social workspace, or cross-platform access.
the verdict →all Playground AI alternatives →
Generación local de imágenes y video en hardware Apple; es una suite de creación solo si tu editor está en otro lado.
the catchIt handles generation and some edits locally, but remains an Apple-only generator rather than Runway's cross-platform collaborative creative suite.
the verdict →all Runway alternatives →
Modelos locales, historiales, lienzos y ajustes conservados en hardware de Apple; sin biblioteca de recursos en equipo.
the catchIt keeps models and history locally, but lacks Leonardo's shared team library, browser access, and managed training and compute.
the verdict →all Leonardo AI alternatives →
Excelente generación local en hardware de Apple; la elección del modelo es tuya, así que el gusto también.
the catchIt has no single curated Midjourney-style model or aesthetic; output quality and taste depend on the models and settings you choose.
the verdict →all Midjourney alternatives →
Generación, inpainting y controles de modelo en hardware de Apple; el uso local es gratuito y sin conexión.
the catchIt is free and private on Apple devices, but slower on modest hardware and unavailable to Windows and Android users.
the verdict →all Dezgo alternatives →
Un generador local serio para hardware de Apple; gratis, sin conexión y mucho menos interesado en paquetes de créditos.
the catchIt runs locally and privately on Apple hardware, but does not provide DreamStudio's browser-anywhere access or cloud speed.
the verdict →all DreamStudio alternatives →
Imagen a video y texto a video de forma local en hardware de Apple; más lento que una flota en la nube, más barato que una.
the catchIts available local video models are not Hailuo's MiniMax model, and Apple-device rendering is markedly slower and more memory-bound than Hailuo's cloud.
the verdict →all Hailuo AI alternatives →
Imágenes, video, edición y entrenamiento LoRA en hardware Apple; lo que desaparece son las plantillas y recursos de stock.
the catchIt has strong local image and video creation, but no cross-platform template library, stock and design layer, or hosted project workflow.
the verdict →all ImagineArt alternatives →
Generación de video local gratuita en hardware de Apple; el trabajo de edición y ritmo sigue siendo tuyo.
the catchIt can generate clips locally, but it does not provide Kaiber's beat-synced music-video workflow or curated transformation presets.
the verdict →all Kaiber alternatives →
Generación de video local en Mac, iPhone y iPad; sin cola en la nube, sin velocidad a escala de la nube.
the catchIt replaces Kling with locally available models on Apple hardware, so both model quality and cloud-scale speed are the tradeoff.
the verdict →all Kling AI alternatives →
Texto a video e imagen a video en hardware de Apple, con privacidad local y espera local.
the catchIt provides private Apple-device generation, but not Luma's proprietary model, cinematic camera controls, or cloud throughput.
the verdict →all Luma Dream Machine alternatives →
Generación y edición local privada en dispositivos Apple, sin cuenta y sin contador de créditos.
the catchIt is genuinely private on Apple hardware, but gives up Mage.Space's cross-platform cloud speed and large hosted model catalog.
the verdict →all Mage.Space alternatives →
Generación, edición y entrenamiento local de LoRA en una sola app gratuita de Apple; lo que pierdes son los flujos de trabajo alojados y las funciones para compartir.
the verdict →
Generación de video local gratuita en dispositivos Apple; reemplaza los clips, no los trucos prefabricados de Pika.
the catchIt generates local clips but does not include Pika's canned object transformations, sound effects, and social-ready effect buttons.
the verdict →all Pika alternatives →
Entrena un LoRA, conserva la semilla y los controles, y crea un conjunto de recursos consistente; solo hardware de Apple.
the verdict →last updated 2026-08-10 · up to $864/yr replaced · no votes, no pay-to-list
