Open source alternative to LTX Studio, Runway, Sora, Kling AI and Pika
Last verified
Generate AI videos locally on Windows, Linux, and macOS with LTX models, using your own GPU or Apple Silicon without cloud fees.
With local generation, you pay nothing per clip beyond hardware costs. Artists iterating through dozens of prompt variations or generating long sequences can do so without tracking cloud credits.
Your hardware falls below the thresholds (15+ GiB NVIDIA VRAM or Apple Silicon with 32+ GiB RAM). Without compatible hardware, the cloud API is required and the per-use cost returns.
Local mode keeps prompts, source images, and audio inputs entirely on-device. No clips, frames, or prompt text leave the machine unless you opt into API-backed features.
Your footage is not sensitive and you lack local-compatible hardware. The cloud API fallback is a viable option, but for workflows where data sovereignty matters, local hardware is the requirement.
LTX Desktop is Apache-2.0 licensed with a documented three-layer architecture: React+TypeScript frontend, Electron main process, and Python+FastAPI backend. Developers can inspect the generation pipeline or build on it for custom workflows.
You need a headless or API-native integration. LTX Desktop is a GUI application; scripting generation without the UI is not a documented integration path.
LTX Desktop supports local generation on Apple Silicon with 32+ GiB RAM via Metal Performance Shaders (MPS), providing a native on-device option for Mac users without requiring an NVIDIA GPU.
You have less than 32 GiB total RAM on your Mac, or you are on an Intel Mac. Both configurations fall to cloud API mode only for video generation.
Commercial AI video platforms charge per second of generated video, and those fees are hard to predict at scale. A typical clip can cost anywhere from a few cents to several dollars depending on length and quality settings, and generating dozens of variations for a project adds up quickly. On top of cost, every prompt and every source image you submit travels to a cloud server you do not control.
Teams working with proprietary footage, unreleased product demos, or client material face a real privacy concern. Most commercial platforms offer no self-hostable path, so the choice has been between paying recurring cloud fees for AI video generation or going without the capability entirely.
Generates videos from text prompts, images, or audio inputs. LTX 2.5 Fast is the default local checkpoint for text-to-video, image-to-video, and audio-to-video; switch to LTX 2.3 Fast in Settings to unlock Retake (video editing) and Extend in local mode.
Retake regenerates a section of an existing video clip based on your edit instructions. Running on LTX 2.3 Fast locally, it lets you fix a scene without re-generating the whole clip. The Pro model via cloud API is available for higher-quality edits.
LoRA adapters steer local generation toward a specific style or subject for text-to-video, image-to-video, and audio-to-video. A built-in browsable library lets you download official and community LoRAs directly in the app; drop your own .safetensors files into the loras/ model subfolder to use custom adapters.
The Enhance button rewrites your prompt using catalog context from the LTX model family, improving generation quality without manually crafting detailed prompts. Works locally with the Local Text Encoder (an extra download) or via the Gemini API as an alternative.
On hardware below the local generation threshold, the optional LTX API covers the same text-to-video, image-to-video, and audio-to-video workflows. Text encoding via the LTX API is free; video generation API calls are paid. The fal API can handle image generation and editing in API mode.
Both generate AI videos from text and image prompts, but Runway operates entirely in the cloud while LTX Desktop runs on your own hardware. The decision comes down to whether you have compatible local hardware and need the privacy or cost predictability of on-device processing.
| Feature | LTX Desktop | Runway |
|---|---|---|
| License | Apache-2.0 | Proprietary |
| Deployment | Local desktop | Cloud only |
| Pricing | Free for local generation | Subscription + credits |
| Input privacy | On-device (local mode) | Processed on Runway servers |
| LoRA support | Yes (local mode) | No |
LTX Desktop is the better choice when you have a compatible GPU (15+ GiB VRAM) or Apple Silicon Mac (32+ GiB RAM) and want to eliminate cloud billing or keep footage off third-party servers. Runway is worth the subscription when you need its Gen-4 model quality, do not have compatible local hardware, or want a managed experience with no disk space overhead.
Kling AI is a cloud-based video generator from Kuaishou with a free tier and paid credits for higher-resolution or longer clips. LTX Desktop appeals to users who need local generation with LoRA-based style control, which Kling does not offer.
| Feature | LTX Desktop | Kling AI |
|---|---|---|
| License | Apache-2.0 | Proprietary |
| Deployment | Local desktop | Cloud/web |
| Cost model | Free local generation | Free tier + credits |
| LoRA support | Yes (local mode) | No |
| Source access | Open source | Closed |
LTX Desktop is the better choice for anyone who needs fine-grained style control via LoRAs, wants generation to run offline, or needs to keep footage on-device. Kling AI is a better fit for users without a high-VRAM GPU who want a browser-based workflow with no local setup or storage overhead.
Install from source by cloning the repository and running the bundled dev setup script (requires Node.js, Python 3.13+, and uv).
```bash
git clone https://github.com/Lightricks/LTX-Desktop.git
pnpm setup:dev
pnpm dev
```A compatible GPU or Apple Silicon chip is required for local generation. On Windows and Linux, you need an NVIDIA GPU with 15+ GiB VRAM; on macOS, you need Apple Silicon (arm64) with 32+ GiB total RAM. Machines below these thresholds can still use the app in cloud API mode with an LTX API key, though local generation will not be available.
Yes, the app and local generation are free. You download the installer at no cost, and once model weights are on your machine (~72 GB for the core pack), generation has no per-use fees. Text encoding via the LTX API is also free. Paid API calls are only incurred when using API-backed video generation (LTX 2.5 Pro or cloud generation on unsupported hardware).
The LTX 2.5 Fast core pack (the default) requires about 72 GB of disk space. A fuller install covering LTX 2.3 Fast, image models, and the local text encoder is larger. Model weights are downloaded from Hugging Face on first launch; the LTX 2.5 weights require a free Hugging Face account and accepting the model license terms.
LTX Desktop supports text-to-video, image-to-video, and audio-to-video generation locally, as well as text-to-image and image editing (image-to-image). Video editing via Retake runs locally on LTX 2.3 Fast or via the Pro API. LoRA adapters apply to text-to-video, image-to-video, and audio-to-video in local mode.
Yes. Drop your .safetensors LoRA files into the loras/ subfolder of your models directory. The app scans that folder on load and shows a LoRA selector in the generation view when compatible local LoRAs are present. The LoRA must target the LTX 2.x model family; adapters built for other base models (SDXL, Wan, Hunyuan, or older LTXV 0.9.x) will not have any effect.
Alternative to
Kling AI
Open source video AI with text, image, and speech-to-video generation
Alternative to
Runway
Open source AI studio for artists who want real control
Alternative toFlightradar24
Real-time global intelligence on a 3D globe
Alternative to
AdCreative.ai
AI agent skills for UGC videos, ad videos, and product photos
Alternative to
Remotion
AI video agent for coding agents; films are local web folders.
Alternative to
UniFab Video Enhancer
GPU-accelerated mosaic detection and restoration for video and images
Featured
Alternative to
Grok Bot
AI teammates you own: your keys, your model, your machine.
Alternative toClaude Managed Agents
Open-source agent deployment API. Self-host or use Omnara Cloud.
Alternative to
Superhuman
AI email assistant that drafts replies and clears your inbox
The projects we add and every new guide. Free, unsubscribe any time.
Claude Code to 
OpenCode
Jira to 
Windshift
Notion to 
AppFlowy
Slack to 
Mattermost
Linear to 
GitLab
Wispr Flow to 
Handy
CapCut to 
Concat
Grok Bot to 
rakazo
Superhuman to 
Inbox Zero
Airtable to 
AITable
Muse to 
OpenClaw
GitHub Copilot to 
Cline
Datadog to 
Netdata
Microsoft Teams to 
Rocket.Chat
Pinecone to 
Qdrant
Zapier to 
n8n
Devin AI to 
OpenHands
Firebase to 
Supabase
1Password to 
KeePassXCConfluence to 
Docmost
Contentful to 
Strapi
Adobe Premiere Pro to 
Shotcut
ChatGPT to 
AnythingLLM
LangSmith to 
Langfuse
