Prompting Guide

To get the most out of LTX models, a strong prompt makes all the difference. The key is painting a complete picture of the story you’re telling that flows naturally from beginning to end and covers all the elements the model needs to bring your vision to life.

If you’re new to writing prompts for video generation, this guide will help you construct effective, production-ready prompts.

Key Elements to Include

When writing a prompt, aim to include the following elements:

1. Establish the Shot

Use cinematography terms that match your intended genre. Include shot scale or category-specific characteristics to refine the visual style.

2. Set the Scene

Describe lighting conditions, color palette, surface textures, and atmosphere to establish mood and tone.

3. Describe the Action

Write the core action as a natural sequence, flowing clearly from beginning to end.

4. Define the Character(s)

Include age, hairstyle, clothing, and distinguishing features. Express emotion through physical cues, not abstract labels.

5. Identify Camera Movement(s)

Specify how and when the camera moves. Describing how subjects appear after the movement helps the model complete the motion accurately.

6. Describe the Audio

Clearly describe ambient sound, music, speech, or singing.

Place spoken dialogue in quotation marks
Specify language and accent if needed

Structuring Your Prompt

Prompts range from a single continuous take to longer, screenplay-style scenes. Match the structure to what you’re describing rather than forcing every prompt into one shape. LTX responds best to cinematic, single-subject scenes with clear camera language, consistent lighting, and well-described audio.

A few principles apply to any prompt:

Keep the scene focused — a few clear characters and actions read better than a crowded frame.
Keep lighting consistent — use one coherent light logic per shot; mixed light sources confuse the result.
Start simple and layer — begin with the core shot, then add detail as you iterate.

Simple / Single-Shot

For a single continuous take, a short flowing description works best:

Write your prompt as a single flowing paragraph
Use present tense verbs for action and movement
Match the level of detail to the shot scale (close-ups need more detail than wide shots)
Describe camera movement relative to the subject
Aim for roughly 4–8 descriptive sentences

Longer / Screenplay-Style

When a scene involves dialogue, multiple beats, or precise timing, write it in a screenplay style, with scene headers, character cues, and quoted dialogue, as the Sample Prompts below do. Keep the same fundamentals: present tense, physical emotion cues, and dialogue in quotation marks.

Length

Match length to complexity. A simple single shot is often 4–8 sentences; a longer screenplay-style scene can run longer, provided every sentence adds concrete visual or audio detail.

Multi-Shot Prompts

The guidance above describes a single continuous shot (one camera take). LTX-2.5 can also generate multi-shot scenes: several distinct shots joined by explicit cuts inside one prompt.

Write the full scene as one chronological paragraph (or a short sequence of sentences). Do not use a shot list, numbered beats, or screenplay sluglines unless you also describe the cut in prose.

How Multi-Shot Differs from Single-Shot

	Single-shot	Multi-shot
Camera	One continuous take	New framing after each cut
Transitions	Camera moves only (pan, push-in, etc.)	Name the edit: hard cut, match cut, dissolve, etc.
Continuity	Same space / subjects throughout	Re-identify subjects when they reappear; say what carries across the cut
Audio	One continuous soundscape	At every cut, say whether music / dialogue / ambience continues or changes

What to Include at Every Cut

Name the transition in natural language — e.g. “A hard cut transitions to…”, “The view cuts to a close-up of…”, “A match cut connects…”, “The image dissolves into…”.
Re-establish the new shot — shot scale, camera angle, who or what is in frame, and lighting if it changed.
Keep identity consistent — reuse the same visual identifiers for recurring people or objects (“the woman in the red coat, earlier at the table, now…”).
State audio continuity — e.g. “the piano score continues across the cut” or “the dialogue drops; only wind remains.”

Tips for Strong Multi-Shot Prompts

Prefer 2–4 shots in one generation; more cuts usually need clearer, shorter beats per shot.
Give each shot a clear job (establish → detail → reaction, or wide → medium → close-up).
Keep action chronological e.g. “Initially…”, “A moment later…”, “Simultaneously…”.
The same rules as single-shot apply: present tense, physical emotion cues, quoted dialogue, concrete camera language.
Avoid conflicting geography or unexplained costume changes between cuts unless the cut is meant to jump time or place and you say so.

Multi-Shot Example

A wide shot frames a rainy city intersection at dusk, neon signs reflecting on wet asphalt. A young woman in a yellow raincoat walks toward camera, gripping a folded newspaper, while cars hiss past behind her. Soft synth music and distant traffic fill the air. A hard cut transitions to a medium close-up of her face under the hood, raindrops catching the neon as she looks off-screen left; the synth score continues across the cut, traffic muffled. She whispers, “He’s late.” Another hard cut jumps to a low-angle shot of a man’s scuffed boots stepping into a puddle at the curb; the music drops to a low drone. He lifts his head into frame — short dark hair, soaked jacket — and smiles toward her off-screen as a bus rumbles past.

When to Stay Single-Shot

Use a single continuous take when you want unbroken camera motion, intimate performance, or dialogue that must stay lip-synced in one framing. For image-to-video from a first frame, prefer a single continuous take unless you intentionally describe a cut away from that opening image.

Keep in Mind

A couple of things the model still handles unevenly:

On-screen text — LTX-2.5 improves short-text accuracy and preserves fine details better than earlier versions, but exact spelling and consistency across frames are not guaranteed. Keep text short and prominent, verify it throughout the clip, and add critical titles, labels, or logos in post.
Complex physics — highly chaotic motion can still introduce artifacts; simpler, more plausible motion is more reliable.

Prompting for Specific Capabilities

Some LTX features have their own prompting patterns.

Dub-It (Speech Replacement)

The Dub-It IC-LoRA is a video-to-video tool that replaces spoken dialogue in existing video. Unlike text-to-video generation, you provide a source video and write a prompt describing what the speaker should say instead.

Dub-It can be used for dubbing into other languages or for rephrasing dialogue in the original language.

Languages currently validated: English, French, Spanish, German, Russian.

Prompt Template

[Speaker] is speaking [Language/Accent], saying: "[Dialogue]"

Example:

A woman speaking in Russian saying: "Сегодня отличный день, чтобы протестировать рабочие процессы ComfyUI для дубляжа с использованием LTX."

You can add details about emotion or delivery style to the prompt.

Requirements

Provide the full dialogue text — the model follows the content of the prompt. It does not translate dialogue for you.
Use native script — write dialogue in the alphabet of the target language (e.g., Cyrillic for Russian, Chinese characters for Mandarin).
Single speaker — the beta IC-LoRA does not distinguish between multiple speakers.

Best Practices

Match audio length — keep your prompt at roughly the same timing and syllable length as the original dialogue. Slightly longer is better than too short.
- Prompt too long: the model might skip words.
- Prompt too short: the output might sound slow and unnatural.

Sample Prompts

Example 1

Prompt:

EXT. SMALL TOWN STREET – MORNING – LIVE NEWS BROADCAST The shot opens on a news reporter standing in front of a row of cordoned-off cars, yellow caution tape fluttering behind him. The light is warm, early sun reflecting off the camera lens. The faint hum of chatter and distant drilling fills the air. The reporter, composed but visibly excited, looks directly into the camera, microphone in hand. Reporter (live): “Thank you, Sylvia. And yes — this is a sentence I never thought I’d say on live television — but this morning, here in the quiet town of New Castle, Vermont… black gold has been found!” He gestures slightly toward the field behind him. Reporter (grinning): “If my cameraman can pan over, you’ll see what all the excitement’s about.” The camera pans right, slowly revealing a construction site surrounded by workers in hard hats. A beat of silence — then, with a sudden roar, a geyser of oil erupts from the ground, blasting upward in a violent plume. Workers cheer and scramble, the black stream glistening in the morning light. The camera shakes slightly, trying to stay focused through the chaos. Reporter (off-screen, shouting over the noise): “There it is, folks — the moment New Castle will never forget!” The camera catches the sunlight gleaming off the oil mist before pulling back, revealing the entire scene — the small-town skyline silhouetted against the wild fountain of oil.

Example 2

Prompt:

The camera opens in a calm, sunlit frog yoga studio. Warm morning light washes over the wooden floor as incense smoke drifts lazily in the air. The senior frog instructor sits cross-legged at the center, eyes closed, voice deep and calm. “We are one with the pond.” All the frogs answer softly: “Ommm…” “We are one with the mud.” “Ommm…” He smiles faintly. “We are one with the flies.” A pause. The camera pans to the side towards one frog who twitches, eyes darting. Suddenly its tongue snaps out, catching a fly mid-air and pulling it into its mouth. The master exhales slowly, still serene. “But we do not chase the flies…” Beat. “not during class.” The guilty frog lowers its head in shame, folding its hands back into a meditative pose. The other frogs resume their chant: “Ommm…” Camera holds for a moment on the embarrassed frog, eyes closed too tightly, pretending nothing happened.

Additional Helpful Terms

This list is not exhaustive, but provides useful examples for shaping your results.

Visual Details

Lighting — Flickering candles · Neon glow · Natural sunlight · Dramatic shadows

Textures — Rough stone · Smooth metal · Worn fabric · Glossy surfaces

Color Palette — Vibrant · Muted · Monochromatic · High contrast

Atmosphere — Fog · Rain · Dust · Smoke · Particles

Sound and Voice

Ambient Settings — Coffeeshop noise · Wind and rain · Forest ambience with birds

Dialogue Style — Energetic announcer · Resonant voice with gravitas · Distorted radio-style · Robotic monotone · Childlike curiosity

Volume — Whisper · Mutter · Shout · Scream

Technical Style Markers

Camera Language — Follows · Tracks · Pans across · Circles around · Tilts upward · Pushes in / pulls back · Overhead view · Handheld movement · Over-the-shoulder · Wide establishing shot · Static frame

Film Characteristics — Film grain · Lens flares · Pixelated edges · Jittery stop-motion

Scale Indicators — Expansive · Epic · Intimate · Claustrophobic

Pacing & Temporal Effects — Slow motion · Time-lapse · Rapid cuts · Lingering shot · Continuous shot · Freeze-frame · Fade-in / fade-out · Seamless transition · Sudden stop

Visual Effects — Particle systems · Motion blur · Depth of field

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