Dezgo alternatives: 7 free & open-source picks
Curated, verified, and actually free. No trials, no crippled tiers. Star counts and last-activity dates checked by hand, not scraped and forgotten.
Cada control de difusión que podrías pedir, organizado como un enredo de cables en lugar de créditos.
licenseGPL-3.0
runsyour machine or their cloud
installWindows or macOS desktop installer, Windows portable archive, or manual Python install on Windows, macOS, or Linux
enginesLocal and downloadable image, video, audio, 3D, and text models including Stable Diffusion/SDXL/SD3.5, FLUX, Wan, LTX-Video, HunyuanVideo, CogVideoX, and Mochi; optional API nodes connect to hosted providers
dataModels, inputs, outputs, and workflow JSON live in the local ComfyUI data tree; generated media can embed workflow and seed metadata, while API nodes transmit selected inputs to their provider
the catch vs DezgoIt removes credits and adds control, but replaces Dezgo's instant hosted form and API with a GPU, model downloads, and workflow debugging.
setupA compatible GPU, enough VRAM and disk for multi-gigabyte models, and a working model/workflow must be chosen before useful output appears
facts verified 2026-08-10
Un estudio de imagen local con un lienzo real, máscaras, historial, repeticiones y sin medidor de créditos.
licenseApache-2.0
runsyour machine or their cloud
installInstall through Invoke's launcher on Windows, macOS, or Linux, or deploy the documented Docker setup
enginesLocal models including Stable Diffusion, SDXL, SD3.5, FLUX, CogView, Z-Image, Krea, Anima, Qwen Image, Ideogram, and segmentation models; selected hosted models such as GPT Image, Gemini/Nano Banana, and Wan use API credentials
dataModels, images, boards, canvas state, prompts, metadata, and a SQLite database live in the local Invoke data directory; API-backed nodes send only the selected prompt and image context to their provider
the catch vs DezgoIts canvas is stronger, but it needs local hardware and model management or paid APIs instead of Dezgo's immediate metered endpoint.
setupThe launcher is straightforward, but the user still needs a compatible GPU, a large model download, and sometimes a gated-model login or provider API key
facts verified 2026-08-10
Una pestaña de Generar sencilla sobre un motor local mucho más profundo; privado, flexible y gratuito.
licenseMIT
runsyour server
installRun the Windows installer script, the Linux launch script, or install .NET/Python/Homebrew prerequisites and run launch-macos.sh on macOS; Docker is optional
enginesUses ComfyUI as its main backend for Stable Diffusion, SDXL, FLUX, Wan, LTX, MiniMax, ACE-Step, and other image/video/audio workflows; an Automatic1111-compatible backend is optional
dataConfiguration, users, models, workflows, generated media, and history live in the local SwarmUI installation and configured model/output directories
the catch vs DezgoThe Generate tab is straightforward after setup, but the local backend and models are substantially harder to provision than Dezgo's browser service.
setupThe backend and models still have to be downloaded, and non-Windows installs require command-line prerequisites such as .NET, Python, and Git
facts verified 2026-08-10
Un front end móvil gratuito para modelos locales, tu propio servidor o GPUs donadas; la configuración del proveedor es el truco.
licenseAGPL-3.0
runsyour machine or their cloud
installInstall the Android or iOS app from an app store/F-Droid, or sideload the published APK; then select a local, self-hosted, or hosted provider
enginesAutomatic1111 and SwarmUI servers, AI Horde, Hugging Face, OpenAI Images, Stability, FAL, ArliAI, and experimental on-device Android ONNX/MediaPipe/stable-diffusion.cpp or Apple Core ML/MLX backends
dataThe gallery, prompts, metadata, and provider settings live on the device and can be exported to Photos/MediaStore or ZIP; remote and self-hosted providers receive the submitted prompt and images
the catch vs DezgoThe app is only a front end, so a non-expert must configure a provider or server before getting the instant generation Dezgo supplies.
setupThe first screen is provider configuration: a non-expert must supply a server URL/API key or obtain and configure an experimental local model
facts verified 2026-08-10
Escribe un prompt y casi ignora la maquinaria; el nombre es peor que el instalador.
licenseGPL-3.0
runson your machine
installExtract the Windows release and run its launcher, or clone the repository and create the documented Python environment on Linux
enginesPrompt-first local SDXL-compatible checkpoints with styles, LoRAs, inpainting, image prompting, and related Fooocus workflows
dataCheckpoints, LoRAs, settings, presets, outputs, and image metadata live in local folders; generated PNG files can retain generation parameters
the catch vs DezgoIt is prompt-first, but limited to Windows and Linux local hardware and offers less dependable API-style automation than Dezgo.
setupWindows needs a current 7-Zip extraction and a multi-gigabyte base-model download; Linux requires a manual Python environment, and macOS is not an official target
facts verified 2026-08-10
Generación, inpainting y controles de modelo en hardware de Apple; el uso local es gratuito y sin conexión.
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
the catch vs DezgoIt is free and private on Apple devices, but slower on modest hardware and unavailable to Windows and Android users.
setupApple hardware is required, and the first model download is large; older devices can be slow or memory-limited
facts verified 2026-08-10
El instalador para principiantes con generación, inpainting, colas y modelos actuales; gratis de forma local, no es de código abierto.
licenseproprietary, free
runson your machine
installRun the Windows installer, or extract the Linux/macOS package and start it with ./start.sh
enginesLocal diffusion models including Stable Diffusion variants, FLUX, Z-Image, ERNIE, Lumina, Anima, and supported quantized/custom checkpoints
dataModels, settings, prompts, and generated images remain in the local installation and output directories; the app contacts package/model hosts for dependencies and downloads but says it does not send prompts or images for analytics
the catch vs DezgoIt is approachable, but local installation, model storage, and GPU limits are more work than Dezgo's no-install hosted service.
setupWindows may show SmartScreen, macOS/Linux use a terminal launcher, and the first runtime plus model download can consume roughly tens of gigabytes
facts verified 2026-08-10
last updated 2026-08-10 · no votes, no pay-to-list · just what's real
| tool | license | running it | platforms | stars | active |
|---|---|---|---|---|---|
| ComfyUI | GPL-3.0 | one-click install | web, macos, windows, linux, self-hosted | 124,207 | 2026-08 |
| InvokeAI | Apache-2.0 | one-click install | web, macos, windows, linux, self-hosted | 27,776 | 2026-08 |
| SwarmUI | MIT | one-click install | web, macos, windows, linux, self-hosted | 4,423 | 2026-08 |
| SDAI | AGPL-3.0 | one-click install | ios, android | 1,242 | 2026-08 |
| RuinedFooocus | GPL-3.0 | one-click install | web, windows, linux, self-hosted | 680 | 2026-07 |
| Draw Things | GPL-3.0 | one-click install | macos, ios | — | — |
| Easy Diffusion | proprietary, free | one-click install | web, macos, windows, linux, self-hosted | — | — |
Dezgo: The interface is replaceable. The subscription buys the model, aesthetic tuning, inference fleet, safety work, and rapid improvement.
Is there a free alternative to Dezgo?
Yes: ComfyUI, InvokeAI, SwarmUI and 4 more. Every tool on this page is either open source or genuinely free to use long-term: no trials, no crippled tiers.
Should I just build my own Dezgo?
Our verdict is NO TANTO. Do not mistake the interface for the product. Dezgo's durable value is proprietary model, inference, which a solo one-shot build cannot reproduce responsibly. The prompt therefore builds only the closest honest personal consolation tool. If you'd rather build, the exact one-shot prompt is free at puedovibecodearlo.app/dezgo.
