- Switch from mlx_video.generate_av to mlx_video.models.ltx_2.generate - Use prince-canuma/LTX-2.3-distilled model with google/gemma-3-12b-it text encoder - Add --audio flag for joint audio-video generation - Add auto-background execution with nohup logging - Add CLAUDE.md and test stories Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
mlx-video-maker is a toolkit for generating multi-scene AI videos with seamless transitions on Apple Silicon Macs. It uses LTX-2 (2B parameter DiT model) via the MLX framework for native inference on M1/M2/M3/M4 chips.
How It Works
The core technique is I2V chaining: Scene 1 is generated as text-to-video, then the last frame is extracted and used as the input image for scene 2 (image-to-video), and so on. All scenes are concatenated into a final movie with ffmpeg.
Pipeline: T2V (scene 1) → extract last frame → I2V (scene 2+) → repeat → ffmpeg concat
Running
# Generate a movie from a story file
./generate_story.sh stories/my_story.txt [output_dir]
# Background generation (long runs)
nohup ./generate_story.sh stories/my_story.txt output/ > output/nohup.out 2>&1 &
Key parameters (all optional)
--width 1920(must be divisible by 64)--height 1088(must be divisible by 64)--frames 121(must satisfy 1 + 8*k)--strength 0.7(I2V conditioning, 0.0-1.0; 0.7 is sweet spot)--fps 24--python ./venv/bin/python
Architecture
generate_story.sh— Single bash script that orchestrates everything. Handles argument parsing, scene generation (callingmlx_video.generate_av), frame extraction via ffprobe/ffmpeg, and final concatenation.stories/— Story files: plain text, one prompt per line,#for comments, empty lines ignored.promptguide.md— Comprehensive LTX-2 prompt engineering guide covering shot establishment, camera movement, audio description, and multi-shot continuity techniques.output/— Generated artifacts:scene{N}.mp4,scene{N}_lastframe.jpg,concat_list.txt, final movie (gitignored).
Key Design Decisions
- Resumable: Script skips scenes that already exist in the output directory.
- No Python package structure: Direct script execution, single pip dependency (
mlx-videofrom GitHub). - No build/test/lint: Manual testing by reviewing generated video output.
Requirements
- Apple Silicon Mac with 64GB+ RAM (32GB minimum at lower resolution)
- Python 3.11+, ffmpeg, ffprobe
pip install git+https://github.com/Blaizzy/mlx-video.git
Story File Format
# Comments start with #
A cinematic wide shot of a mountain landscape at golden hour...
A close-up tracking shot follows a character walking through fog...
Each non-empty, non-comment line is one scene prompt. Prompts should be flowing narrative paragraphs (not keyword lists) following the six elements in promptguide.md: shot establishment, scene setting, action, character definition, camera movement, audio description.