Draw Things is a free native app for Apple devices that runs image and video models directly on Apple Silicon and even on recent iPhones and iPads. It downloads models from its own library (converted to run efficiently on Apple hardware), supports LoRAs, ControlNet, inpainting, outpainting and video, and works fully offline. The core is open source as the community edition; the App Store version is free.

If you have a Mac, iPhone or iPad and want local generation without Python, Draw Things is the easiest and fastest path. It is also unique in running serious models on a phone. Windows and Linux users need another app.

Sin instalación: ejecuta modelos de IA en la nube

BitVector Prism es la forma más fácil de empezar: elige un modelo, escribe un prompt y genera en una aplicación web limpia, sin configurar nada. BitVector también está disponible en Discord y en la web (SpyGlass).

Probar BitVector

Qué necesitas

macOS 13 or later on Apple Silicon (M1 or newer; Intel Macs are limited), or iPhone and iPad with an A14 chip or newer and iOS 16 or later. 8 GB of memory runs SD 1.5 and SDXL; 16 GB or more is recommended for Flux and video. Model files range from 2 GB to over 20 GB, so free up storage.

Cómo conseguir e instalar Draw Things

Open the App Store on your Mac, iPhone or iPad and install Draw Things: AI Generation. It is free.
Open the app and tap the model selector at the top; pick a model from the built-in list (for example SDXL, Flux schnell or Wan) and download it inside the app.
To import your own .safetensors files on a Mac, choose Import Model in the model menu and point it at the file; Draw Things converts it.
Optional: install the community edition from GitHub if you want to build from source, or use the gRPC server to run the engine on a Mac and generate from an iPhone.

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Sin instalación: ejecuta modelos de IA en la nube

PirateDiffusion es solo para Telegram y está pensado para profesionales: miles de modelos, LoRAs y workflows mediante comandos de chat, con generación ilimitada a precio fijo.

Probar PirateDiffusion

Cómo usar Draw Things

Type your prompt in the text box at the bottom and tap Generate. The image appears on the canvas.
Open the settings panel (the sliders icon) to set the size, steps, guidance scale, sampler and seed. The app suggests sensible defaults per model.
Add a LoRA from the LoRA section in the settings; download it from the list or import a file, set its weight and add the trigger words from the model page.
Paint over part of the canvas with the eraser or brush and generate again to inpaint; move the frame outside the image to outpaint.
Use ControlNet (pose, depth, canny, scribble) from the Control section to guide the composition from a reference image.
Pick a video model (Wan, Hunyuan) and set the number of frames in the settings to generate short clips; export them from the history panel.

Consejos y problemas frecuentes

On an iPhone, start with SD 1.5 or Flux schnell models at smaller sizes; large models can be slow or run out of memory.
Turn on the Metal FlashAttention and the 8-bit options in the settings to save memory on 8 and 16 GB machines.
The history panel keeps every generation with its full settings; long press to reuse them.
Draw Things has an active Discord and documentation site; model conversion questions are answered there.

Modelos que puedes ejecutar en Draw Things

Draw Things runs Stable Diffusion 1.5, SDXL, Flux, Qwen Image, Hunyuan and Wan models and their LoRAs from this catalog; the in-app library covers the popular ones and you can import the rest on a Mac.

Modelos Flux

Modelos Stable Diffusion XL 1.0

Modelos Stable Diffusion 1.5

Modelos Wan

Modelos Qwen

Modelos Hunyuan

Sin instalación: ejecuta modelos de IA en la nube

Sin GPU, sin descargas, sin Python. Estos servicios ejecutan los mismos modelos de código abierto en sus propios servidores, así que puedes empezar a generar desde el navegador, Discord o Telegram en un minuto.

Probar BitVector

Probar PirateDiffusion

Enlaces

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The node-based powerhouse for Stable Diffusion, Flux, Wan video and almost every new open source model. Free, open source, for Windows, Mac and Linux.