Runway alternatives: 6 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.
Imágenes, video, máscaras, escalado y efectos en un solo grafo; reemplaza herramientas, no el acabado de Runway.
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 RunwayIt replaces many individual generation and masking operations, but not Runway's polished all-in-one editor, proprietary models, collaboration, or managed render farm.
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 entorno más amigable para flujos locales de imagen y video; la edición sigue siendo más limitada que la de Runway.
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 RunwayIt is a generation front end with deep workflows, not a full replacement for Runway's timeline editing, asset management, collaboration, and proprietary models.
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
Lo más cercano gratis a una suite de video generativo: modelos locales, retomas y una línea de tiempo de edición real.
licenseApache-2.0
runsyour machine or their cloud
installDownload the Windows .exe or macOS .dmg from the project's GitHub Releases page
enginesLTX video models and bundled image-generation components, with optional LTX API and other configured hosted services; local generation is primarily supported on NVIDIA Windows systems
dataProjects, settings, logs, downloaded models, source assets, and renders live in the platform-specific LTXDesktop application-data folder; API mode uploads the material needed for the requested generation
the catch vs RunwayIt is the closest integrated editor here, yet still lacks Runway's proprietary models, mature browser collaboration, and cloud-scale inference.
setupSerious local generation currently needs a high-end NVIDIA Windows GPU and very large model downloads; macOS generation relies on an API key instead of local inference
facts verified 2026-08-10
La rara app abierta con flujos de modelos, máscaras y una línea de tiempo de video; sin granja de renderizado en la nube incluida.
licenseAGPL-3.0
runsyour machine or their cloud
installInstall the macOS .dmg, signed Windows .exe, or Linux AppImage; Docker Compose is available for self-hosting
enginesLocal Ollama, llama.cpp/GGUF, MLX, Nunchaku, Hugging Face, and diffusion/media models, plus BYOK providers such as OpenAI, Anthropic, Gemini, FAL, Replicate, KIE, ElevenLabs, and Hugging Face
dataWorkflows, projects, assets, files, provider settings, and vector indexes live locally in YAML, SQLite/SQLite-vec, and application storage; optional S3 or Supabase storage is supported, and cloud nodes transmit their inputs
the catch vs RunwayIt combines model workflows, masking, and a timeline, but requires BYOK or local setup and lacks Runway's polished team and editor ecosystem.
setupNo useful model or provider is bundled: the user must add an API key or download a multi-gigabyte local model, and some local backends add a large Python/Conda environment
facts verified 2026-08-10
Generación local de imágenes y video en hardware Apple; es una suite de creación solo si tu editor está en otro lado.
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 RunwayIt handles generation and some edits locally, but remains an Apple-only generator rather than Runway's cross-platform collaborative creative suite.
setupApple hardware is required, and the first model download is large; older devices can be slow or memory-limited
facts verified 2026-08-10
Un amplio banco de trabajo local de imagen y video; la generación es gratis, los modelos propietarios de Runway no están incluidos.
licenseproprietary, free
runson your machine
installRun the supplied Windows install.bat or Linux/macOS install.sh script; community launchers such as Pinokio are optional
enginesLocal video, image, music, speech, and restoration models including Wan, MiniMax/Hailuo-family weights where available, LTX, Hunyuan, LongCat, Qwen Image, Z-Image, FLUX, ACE-Step, and Qwen TTS
dataDownloaded models, presets, queues, galleries, generated media, and metadata live in the local installation tree and chosen output folders
the catch vs RunwayIt covers more local models than Runway exposes, but lacks Runway's cohesive editing suite and team-oriented cloud workflow.
setupInstallation must match the GPU and PyTorch/CUDA/ROCm stack, and useful models consume many gigabytes of disk and substantial VRAM
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 |
| SwarmUI | MIT | one-click install | web, macos, windows, linux, self-hosted | 4,423 | 2026-08 |
| LTX Desktop | Apache-2.0 | one-click install | macos, windows, linux | 1,854 | 2026-07 |
| NodeTool | AGPL-3.0 | one-click install | web, macos, windows, linux, self-hosted, cli | 450 | 2026-08 |
| Draw Things | GPL-3.0 | one-click install | macos, ios | — | — |
| WanGP | proprietary, free | one-click install | web, macos, windows, linux, self-hosted, cli | — | — |
They pay because generative video quality and inference infrastructure are the product. If none of that applies to you, any pick above saves $180 a year.
Is there a free alternative to Runway?
Yes: ComfyUI, SwarmUI, LTX Desktop and 3 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 Runway?
Our verdict is NO TANTO. A UI around video models is buildable; the video-generation model quality, compute, safety, editing stack, and continuous research are not a solo afternoon project. If you'd rather build, the exact one-shot prompt is free at puedovibecodearlo.app/runway.
