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Native macOS app for AI video generation using LTX-Video model, optimized for Apple Silicon
| Date | Stars |
|---|---|
| 2026-07-24 | 355 |
| 2026-07-25 | 356 |
| 2026-07-28 | 356 |
| 2026-07-30 | 356 |
| 2026-08-06 | 356 |
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# LTX Video Generator for Mac [](https://www.apple.com/macos/) [](https://support.apple.com/en-us/HT211814) [](LICENSE) [](https://github.com/james-see/ltx-video-mac/releases) A beautiful, native macOS application for generating AI videos with synchronized audio from text prompts using the LTX-2 model, running natively on Apple Silicon with MLX.  ## Features - **Native macOS App** - Built with SwiftUI for a seamless Mac experience - **Apple Silicon Native** - Uses MLX framework for optimal performance on M-series chips - **Text-to-Video Generation** - Transform text prompts into video clips - **Image-to-Video** - Animate images into videos - **Built-in Audio Generation** - Available model variants generate synchronized audio with video automatically - **Voiceover Narration** - Add TTS voiceover using ElevenLabs (cloud) or MLX-Audio (local) - **Background Music** - Generate instrumental music with 54 genre presets via ElevenLabs Music API - **Auto Package Installer** - Missing Python packages are detected and can be installed with one click - **Generation Queue** - Queue multiple generations with real-time progress tracking - **History Management** - Browse, preview, and manage all your generated videos - **Presets** - Save and load generation parameter presets - **Customizable Parameters** - Fine-tune resolution, frames, steps, guidance scale, and more ## Requirements - **macOS 14.0** or later - **Apple Silicon** Mac (M1, M2, M3, M4 series) - **32GB RAM** minimum (64GB+ recommended for higher resolutions) - **Python 3.10+** installed (via Homebrew, pyenv, or system) - **~20-42GB disk space** for model weights (depends on selected model) ## Installation ### 1. Download the App Download the latest release from the [Releases page](https://github.com/james-see/ltx-video-mac/releases). ### 2. First Launch Setup 1. Open LTX Video Generator 2. Go to **Preferences** (⌘,) 3. Click **Auto Detect** to find your Python installation, or manually set the path 4. Click **Validate Setup** - the app will check for required packages ### 3. Install Python Packages If packages are missing, the app will show an "Install Missing Packages" button. Click it to automatically install: ``` mlx mlx-vlm mlx-video-with-audio transformers safetensors huggingface_hub numpy opencv-python tqdm ``` Or install manually: ```bash pip install mlx mlx-vlm mlx-video-with-audio transformers safetensors huggingface_hub numpy opencv-python tqdm ``` The `mlx-video-with-audio` package is available on [PyPI](https://pypi.org/project/mlx-video-with-audio/) and provides the unified audio-video generation. ### 4. First Generation - Model Download **Important:** On first generation, the app downloads your selected model from Hugging Face. This is a one-time download that may take 15-30 minutes depending on model size and internet connection. The model is cached in `~/.cache/huggingface/` and will not be re-downloaded on subsequent runs. Progress is shown in the app during download. **Available models:** - LTX-2 Unified (`notapalindrome/ltx2-mlx-av`, ~42GB) - LTX-2.3 Unified Beta (`notapalindrome/ltx23-mlx-av`, ~48GB) - LTX-2.3 Distilled Q4 Beta (`notapalindrome/ltx23-mlx-av-q4`, ~22GB, default for new installs) ## Usage 1. Enter a descriptive prompt in the text field 2. Adjust parameters using presets or manual controls 3. Click **Generate** to start 4. Watch progress in the Queue sidebar 5. Find completed videos in your configured output directory (default: Application Support) ### Gemma Prompt Enhancement When enabled in **Settings > Generation**, Gemma rewrites your prompt before generation—expanding short descriptions in
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matched fp:7b2bad3a90343bdf, topic:text-to-video, desc:video generation, readme:video generation