Check GPU and free disk space
In PowerShell, confirm your NVIDIA driver sees the GPU. Check that the installation drive has roughly 160 GB free for the app, environment, weights, and outputs.
nvidia-smiInstall LTX Desktop, load gated LTX 2.5 Fast weights, choose local text encoding, render a short clip, and check the saved video on a supported PC or Mac.
Use local Fast only when your machine meets the app’s documented memory requirement. Render time changes with clip length and settings; no time estimate is available for your exact machine.
| Machine | LTX 2.5 Fast · local |
|---|---|
| NVIDIA GPU · under 16 GB | Local mode will not start; use a larger GPU |
| NVIDIA GPU · 16 GB | Should run; start with a short, small clip |
| NVIDIA GPU · 24 GB | Should run with more headroom |
| NVIDIA GPU · 32 GB | Should run comfortably; speed not measured here |
| Apple Silicon · 16 GB total | Unlikely to have the required 15 GB free |
| Apple Silicon · 24 GB total | May run if at least 15 GB is free at launch |
| Apple Silicon · 32 GB or more | Should run if at least 15 GB is free |
| AMD Radeon GPU | No documented local LTX Desktop GPU path; this guide uses NVIDIA or Apple Silicon |
| Intel Arc GPU | No documented local LTX Desktop GPU path; this guide uses NVIDIA or Apple Silicon |
| CPU only · 32 GB system RAM | No supported local LTX Desktop CPU route; use a 16 GB NVIDIA GPU or Apple Silicon with 15 GB free memory, or rent a GPU. |
Lightricks requires at least 16 GB NVIDIA VRAM or 15 GB free Apple Silicon memory at launch. No per-second generation claim is made without a matching published test.
This publisher-supported desktop route uses LTX 2.5 Fast locally. Follow the tab for your operating system, start with a short clip, and confirm the exported file plays.
This setup uses the package documented for this task. Review its source and supported platforms before starting.
Save your machine in My Hardware to get an automatic starting choice. You can always choose any package yourself.
Lightricks documents 16 GB NVIDIA VRAM or 15 GB free Apple Silicon memory at launch. The 24/32 GB recommendation is a YouRunAI headroom estimate, not a publisher benchmark.
Choose your computer first, then its GPU path. The instructions below update to match your selection.
Windows 10/11, CUDA GPU with at least 16 GB VRAM, 16 GB RAM (32 GB recommended), and about 160 GB free disk space per Lightricks.
In PowerShell, confirm your NVIDIA driver sees the GPU. Check that the installation drive has roughly 160 GB free for the app, environment, weights, and outputs.
nvidia-smiDownload the current Windows installer from the project’s Releases page, install it, and launch the app.
Official Windows installerIn the app’s first-run setup, sign in to Hugging Face and review the LTX 2.5 license if prompted. The local Fast weights are gated; this step requires internet before offline use.
LTX 2.5 weights and licenseOpen Settings → Models and select LTX 2.5 Fast as the active local checkpoint. Check that the app says Local generation. Pro is an API-only option and is not the model used in this guide.
In Settings, select the Local Text Encoder if you want prompts to stay on your machine. It downloads additional weights and uses more memory. The optional API encoder is a separate cloud step.
Open Text to Video, confirm LTX 2.5 Fast is selected for local generation, enter “A red kite over a quiet beach at sunrise,” then select 5 seconds and 540p for the first render. Leave other controls at their defaults. Click Generate, wait for the local progress indicator, and raise resolution or duration only after that clip succeeds.
Play the completed clip, confirm it shows the requested subject and motion, and export it to a local file. This first run verifies the complete model, text encoder, decoder, and output path.
The app shows Local generation, completes a short text-to-video render, and exports a file that plays through on your machine. Check the content against your prompt.
This guide covers the local Fast checkpoint only. LTX 2.5 Pro and the optional API text encoder use cloud services.
Confirm the NVIDIA driver is working, the GPU shows at least 16 GB VRAM in nvidia-smi, and restart LTX Desktop. The hardware mode is selected at launch.
LTX checks free memory at launch. Close large apps, fully quit LTX Desktop, and reopen it. It needs 15 GB free, not merely installed.
Sign in to Hugging Face and accept the LTX 2.5 model terms on the linked weights page, then retry the in-app download.
Original instructions, model files, and compatibility notes behind this setup.
Source-backed package and platform-route plan for private local chat with Qwen3.5 · 9B. Preserves the official Ollama 9B package, a smaller 4B family fallback, and a clearly labeled community uncensored GGUF option.
Run Qwen3.8 27B with Ollama, connect it to Cline in VS Code, and make one reviewable code change in a tiny local project.
Generate images from text prompts in ComfyUI with the fast distilled or more adjustable base 4B model. Save your results and reuse the visual workflow.