LTX-Desktop
LTX Desktop is an open-source desktop application for generating, editing, and refining videos using LTX generative AI models. It supports local GPU-based generation on Windows/Linux with sufficient VRAM, or cloud API mode for macOS and resource-constrained hardware. The app includes a built-in video editor with timeline and retake capabilities.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | Lightricks/LTX-Desktop |
| Owner | Lightricks |
| Primary language | TypeScript |
| License | Apache-2.0 — OSI-approved |
| Stars | 1.8k |
| Forks | 365 |
| Open issues | 52 |
| Latest release | v1.0.5 (2026-04-28) |
| Last updated | 2026-04-27 |
| Source | https://github.com/Lightricks/LTX-Desktop |
What LTX-Desktop is
TypeScript/React frontend (Electron-based) with a Python FastAPI backend orchestrating local NVIDIA GPU inference or cloud API calls. Architecture isolates renderer in sandbox (contextIsolation: true, nodeIntegration: false) and manages model weights locally. Supports text-to-video, image-to-video, audio-to-video, and video editing workflows via integrated ffmpeg export.
Get the LTX-Desktop source
Clone the repository and explore it locally.
git clone https://github.com/Lightricks/LTX-Desktop.gitcd LTX-Desktop# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Local generation requires NVIDIA driver installation, CUDA toolkit compatibility, and 16GB+ VRAM; verify GPU support before deployment. Model weights (~160GB) download on first run—plan network and storage bandwidth.
- API mode requires free LTX API key (from console.ltx.video) for text encoding and paid credits for video generation and retake. Budget video generation costs and monitor API usage.
- App data (settings, models, logs) stored in OS-specific paths (%LOCALAPPDATA%\LTXDesktop on Windows, ~/Library/Application Support/LTXDesktop on macOS, $XDG_DATA_HOME/LTXDesktop on Linux); ensure persistent storage and user permissions.
- Optional integrations: fal.ai API key for Z Image Turbo text-to-image, Google Gemini API key for AI prompt suggestions. Each adds external dependency and potential cost.
- On first launch, users must review and accept model license terms fetched from Hugging Face; requires internet access and clear license communication.
When to avoid it — and what to weigh
- You require production-grade stability guarantees — Project is in Beta with explicit warning of breaking changes. Frontend architecture is under active refactor and large UI PRs are being declined pending completion.
- You cannot provision 160GB+ disk space and 16GB+ RAM locally — Local generation mode requires substantial disk (model weights) and memory footprint. API-only mode alleviates this but introduces cloud cost and network dependency.
- Your workflow requires AMD/Intel discrete GPU support — Local generation is NVIDIA CUDA-only. AMD and Intel GPU users must use API mode with associated cost and latency.
- You need proprietary vendor lock-in assurances or SLA-backed support — Open-source project with community support only. No SLA, commercial support, or vendor guarantees. Lightricks maintains the project but offers no contractual uptime or response-time promises.
License & commercial use
Licensed under Apache License 2.0 (Apache-2.0), an OSI-approved permissive license permitting commercial use, modification, and distribution with attribution and liability disclaimer. Model weights downloaded separately and may be governed by additional licenses (documented in NOTICES.md); review model-specific terms before deployment.
Apache-2.0 is permissive and allows commercial use without restrictions. However, verify third-party model licenses (model weights downloaded from Hugging Face) as they may impose additional terms. LTX API usage for cloud generation is paid; pricing and ToS are not detailed in this data and require review of LTX Console terms. No vendor support or indemnification is offered; commercial users assume full responsibility.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Adequate |
| License clarity | Clear |
| Deployment complexity | High |
| DEV.co fit | Good |
| Assessment confidence | High |
Renderer process sandboxed (contextIsolation: true, nodeIntegration: false) mitigating XSS impact. API keys stored locally in app data folder—users must treat as secrets. Prompts and media sent to external APIs (LTX, fal.ai, Gemini) when API features enabled; review privacy policies of third-party services. No security audit, penetration test, or CVE history provided. Model weights downloaded from Hugging Face; verify source authenticity. No mechanism for secure updates documented.
Alternatives to consider
Stable Video Diffusion / Hugging Face Spaces
Open-source video generation models; lower resource footprint but less polished UI and fewer editing features than LTX Desktop. Suitable for CLI/API-first workflows.
Adobe Firefly Video Generative Fill
Proprietary SaaS with integrated editing suite and content protection. No local GPU dependency; higher cost and vendor lock-in. Better for teams requiring SLA and professional support.
Runway Gen-3 / Synthesia
Managed cloud video generation platforms with web UI and advanced features. No installation required; higher per-generation cost and less customization than local LTX Desktop.
Build on LTX-Desktop with DEV.co software developers
Test local generation on a qualified workstation or try API mode on macOS. Review hardware requirements, model licenses, and LTX API pricing. Assess Beta stability and breaking-change risk for your use case.
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LTX-Desktop FAQ
Can I generate videos locally without an API key?
What are the disk and memory requirements?
How much does video generation cost?
Is this suitable for production workflows?
Custom software development services
DEV.co helps companies turn open-source tools like LTX-Desktop into production software. Our software development services cover the full lifecycle — architecture, web development, integration, and maintenance — delivered by software developers and web developers who ship. Engage our software development agency to implement or customize it for your ai frameworks stack.
Ready to evaluate LTX Desktop for your team?
Test local generation on a qualified workstation or try API mode on macOS. Review hardware requirements, model licenses, and LTX API pricing. Assess Beta stability and breaking-change risk for your use case.