ltx2
AI video generation with LTX-2.3 22B — text-to-video, image-to-video clips for video production. Use when generating video clips, animating images, creating b-roll, animated backgrounds, or motion content. Triggers include video generation, animate image, b-roll, motion, video clip, text-to-video, image-to-video.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/calesthio/openmontage --skill ltx2- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads ltx2 automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
LTX-2.3 Video Generation
Generate ~5 second video clips from text prompts or images using the LTX-2.3 22B DiT model.
Runs on Modal (A100-80GB). Requires MODAL_LTX2_ENDPOINT_URL in .env.
Quick Reference
# Text-to-video
python3 tools/ltx2.py --prompt "A sunset over the ocean, golden light on waves, cinematic" --output sunset.mp4
# Image-to-video (animate a still image)
python3 tools/ltx2.py --prompt "Gentle camera drift, soft ambient motion" --input photo.jpg --output animated.mp4
# Custom resolution and duration
python3 tools/ltx2.py --prompt "..." --width 1024 --height 576 --num-frames 161 --output wide.mp4
# Fast mode (fewer steps, quicker)
python3 tools/ltx2.py --prompt "..." --quality fast --output quick.mp4
# Reproducible output
python3 tools/ltx2.py --prompt "..." --seed 42 --output reproducible.mp4
Parameters
| Parameter | Default | Description |
|---|---|---|
--prompt | (required) | Text description of the video |
--input | - | Input image for image-to-video |
--width | 768 | Video width (divisible by 64) |
--height | 512 | Video height (divisible by 64) |
--num-frames | 121 | Frame count, must satisfy (n-1) % 8 == 0 |
--fps | 24 | Frames per second |
--quality | standard | standard (30 steps) or fast (15 steps) |
--steps | 30 | Override inference steps directly |
--seed | random | Seed for reproducibility |
--output | auto | Output file path |
--negative-prompt | sensible default | What to avoid |
Valid Frame Counts
(n - 1) % 8 == 0: 25 (~1s), 49 (~2s), 73 (~3s), 97 (~4s), 121 (~5s default), 161 (~6.7s), 193 (~8s max practical).
Common Resolutions
| Resolution | Ratio | Notes |
|---|---|---|
| 768x512 | 3:2 | Default, good balance |
| 512x512 | 1:1 | Square, fastest |
| 1024x576 | 16:9 | Widescreen |
| 576x1024 | 9:16 | Portrait/vertical |
Prompting Guide
LTX-2 responds well to cinematographic descriptions. Layer these dimensions:
- Camera: "Slow dolly forward", "Aerial drone shot", "Tracking shot", "Static wide angle"
- Lighting: "Golden hour", "Cinematic lighting", "Neon-lit", "Soft diffused light"
- Motion: "Timelapse of...", "Slow motion", "Gentle camera drift", "Gradually transitions"
- Style: "Shot on 35mm film", "Documentary style", "Clean minimal aesthetic"
- Negative: Always implicitly avoids "worst quality, blurry, jittery, watermark, text, logo"
Keep prompts under 200 words. Be specific about the scene.
Good Prompts
# Atmospheric b-roll
"Aerial drone shot slowly flying over turquoise ocean waves breaking on white sand, golden hour sunlight, cinematic"
# Product/tech scene
"Close-up of hands typing on a mechanical keyboard, shallow depth of field, soft desk lamp lighting, cozy atmosphere"
# Abstract background
"Dark moody abstract background with flowing blue light streaks, subtle geometric grid, bokeh particles floating, cinematic tech atmosphere"
# Animate a portrait
"Professional headshot, subtle natural head movement, confident warm expression, studio lighting, shallow depth of field"
# Animate a slide/screenshot
"Gentle subtle particle effects floating across a presentation slide, soft ambient light shifts, very slight camera drift"
Bad Prompts
# Too vague
"A cool video"
# Too many competing ideas
"A cat riding a skateboard while juggling fire on the moon during a thunderstorm"
# Describing text/UI (model can't render text reliably)
"A website showing the text 'Welcome to our platform'"
Video Production Use Cases
B-Roll Clips
Generate atmospheric 5s shots for cutaways between narrated scenes:
python3 tools/ltx2.py --prompt "Futuristic holographic interface, glowing data visualizations, clean workspace, cinematic" --output broll_tech.mp4
python3 tools/ltx2.py --prompt "Aerial view of European city at golden hour, modern architecture" --output broll_europe.mp4
Animated Slide Backgrounds
Feed a slide screenshot and add subtle motion:
python3 tools/ltx2.py --prompt "Gentle particle effects, soft ambient light shifts, very slight camera drift" --input slide.png --output animated_slide.mp4
Animated Portraits
Bring still headshots to life:
python3 tools/ltx2.py --prompt "Subtle natural head movement, warm expression, professional lighting" --input headshot.png --output animated_portrait.mp4
Branded Intro/Outro
Generate abstract motion backgrounds for title cards:
python3 tools/ltx2.py --prompt "Dark moody background with flowing blue and coral light streaks, bokeh particles, cinematic tech atmosphere, no text" --output intro_bg.mp4
Combining with Other Tools
LTX-2 generates raw clips. Combine with the rest of the toolkit:
| Workflow | Tools |
|---|---|
| Generate clip → upscale | ltx2.py → upscale.py |
| Generate clip → add to Remotion | ltx2.py → use as <OffthreadVideo> in composition |
| Generate image → animate | flux2.py → ltx2.py --input |
| Generate clip → extract audio | ltx2.py → ffmpeg -i clip.mp4 -vn audio.wav |
| Generate clip → add voiceover | ltx2.py → mix with qwen3_tts.py output |
Technical Details
- Model: LTX-2.3 22B DiT (Lightricks), bf16
- GPU: A100-80GB on Modal (~$4.68/hr)
- Inference: ~2.5 min per clip (768x512, 121 frames, 30 steps)
- Cost: ~$0.20-0.25 per 5s clip
- Cold start: ~60-90s (loading ~55GB weights)
- Output: H.264 MP4 with synchronized ambient audio (24fps)
- Max duration: ~8s (193 frames) per clip
Known Limitations
- Training data artifacts: ~30% of generations may have unwanted logos/text from training data. Re-run with different
--seed. - Text rendering: Cannot reliably generate readable text in video. Use Remotion overlays instead.
- Max duration: ~8s per clip. Longer content needs stitching.
- Audio: Generated audio is ambient/environmental only. Use voiceover/music tools for speech and music.
- License: Community License — free under $10M revenue, commercial license needed above that.
Setup
# 1. Create Modal secret for HuggingFace (one-time)
modal secret create huggingface-token HF_TOKEN=hf_your_token
# 2. Deploy (downloads ~55GB of weights, takes ~10 min)
modal deploy docker/modal-ltx2/app.py
# 3. Save endpoint URL to .env
echo "MODAL_LTX2_ENDPOINT_URL=https://yourname--video-toolkit-ltx2-ltx2-generate.modal.run" >> .env
# 4. Test
python3 tools/ltx2.py --prompt "A candle flickering on a dark table, cinematic" --output test.mp4
Important: HuggingFace token needs read-access scope. Accept the Gemma 3 license before deploying. Unauthenticated downloads are severely rate-limited.
FAQ
What does the ltx2 skill do?
AI video generation with LTX-2.3 22B — text-to-video, image-to-video clips for video production. Use when generating video clips, animating images, creating b-roll, animated backgrounds, or motion content. Triggers include video generation, animate image, b-roll, motion, video clip, text-to-video, image-to-video.
How do I install ltx2?
Run npx skills add https://github.com/calesthio/openmontage --skill ltx2 in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/ltx2/ (personal) or .claude/skills/ltx2/ (project).
Which AI agents can use ltx2?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is ltx2 safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains ltx2?
It is published by calesthio in calesthio/openmontage. It has 1,055 recorded installs.
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