/ltx2

name: ltx2
description: 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.

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`. LTX-2.5 is a deploy-time opt-in on the same endpoint; see [LTX-2.5 (opt-in)](#ltx-25-opt-in).

Quick Reference

# Text-to-video
uv run tools/ltx2.py --prompt "A sunset over the ocean, golden light on waves, cinematic" --output sunset.mp4

# Image-to-video (animate a still image)
uv run tools/ltx2.py --prompt "Gentle camera drift, soft ambient motion" --input photo.jpg --output animated.mp4

# Custom resolution and duration
uv run tools/ltx2.py --prompt "..." --width 1024 --height 576 --num-frames 161 --output wide.mp4

# Fast mode (fewer steps, quicker)
uv run tools/ltx2.py --prompt "..." --quality fast --output quick.mp4

# Reproducible output
uv run 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 | | `--lora` | none | Style LoRA preset. Currently: `crt-terminal`. |

Style LoRAs

Style LoRAs bias the output toward a specific visual aesthetic. They're baked into the Modal image and selected per-request; switching LoRAs rebuilds the server pipeline.

**On an `LTX2_VERSION=2.5` deployment:** the presets below were trained on LTX-2.3. `crt-terminal` was checked on 2.5 (2026-10-12) and does not reproduce its CRT look there: it changes the output, but the result is a photoreal scene with green text. Use a 2.3 deployment for it. Keys that don't match are skipped without an error, so compare any other 2.3 LoRA with 2.3 before relying on it.

`crt-terminal` — CRT / pixel-art terminals

Base: LTX-2.3 22B, trained by [@lovis93](https://huggingface.co/lovis93/crt-animation-terminal-ltx-2.3-lora) (Apache 2.0).

# Trigger word is auto-prepended — write the prompt normally
uv run tools/ltx2.py --lora crt-terminal \
  --prompt "a terminal typing out \"\\$ claude --continue\" character by character in glowing green pixel font, scanlines, phosphor glow, low choppy frame rate, hacker mood" \
  --output crt_claude.mp4

**What the preset changes:**

• Prepends `crtanim,` to the prompt (the LoRA's trigger word)
• Defaults to 1024×1024, 121 frames (the ratio it was trained on)
• Relaxes the default negative prompt so on-screen text isn't filtered out

**Prompt pattern:** `<CRT aesthetic> → <color palette> → <animation style> → <subject> → <literal text in quotes> → <mood>`. Keep on-screen text to 1–3 words — the model can't render long strings reliably. The LoRA prefers static framing; ask for camera moves explicitly if you want them.

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:

uv run tools/ltx2.py --prompt "Futuristic holographic interface, glowing data visualizations, clean workspace, cinematic" --output broll_tech.mp4
uv run tools/ltx2.py --prompt "Aerial view of European ci