How to Write AI Video Prompts That Get Better Results

Whether you use text-to-video or image-to-video tools, the prompt you write directly shapes the output. Vague prompts lead to generic or inconsistent clips; clear, structured prompts give the AI enough detail to produce videos that match your vision. This guide walks you through proven techniques — drawn from real AI video workflows — so you can write prompts that consistently deliver better results.

1. Structure Your Prompt: Subject, Action, Setting, Style

The order and organization of your prompt matter. Many successful AI video prompts follow a simple structure:

• Subject — Who or what is in the scene (e.g. character, object, environment).
• Action — What is happening: movement, pose, or interaction.
• Setting — Where it takes place: location, time of day, lighting.
• Style & quality — Visual style, resolution hints, and detail level.

Leading with the subject and action helps the model “lock in” the main content before interpreting background and style. Save abstract or stylistic terms for the end so they refine the look without overriding the core scene.

2. Be Specific — Avoid Generic Descriptions

Generic phrases like “a person walking” or “someone in a room” give the AI too much freedom. Specificity reduces randomness and improves consistency. For example:

• Instead of “a girl,” try: age range, hair color and length, eye color, outfit, pose.
• Instead of “a room,” try: “dimly lit office,” “sunny beach,” “modern loft with large windows.”
• Instead of “moving,” try: “slowly walking,” “sitting and writing,” “turning toward the camera.”

The more concrete your descriptions, the better the model can match your intent. Include details like clothing, expression, camera angle (e.g. “view from below,” “close-up on face”), and lighting (e.g. “ring light,” “natural sunlight,” “strong sidelight”) when they matter for your shot.

3. Use Quality and Detail Boosters

Many AI video models respond well to quality-oriented keywords. Adding a few at the end of your prompt often improves sharpness, detail, and overall polish. Common boosters include:

• Resolution / sharpness — e.g. “8K,” “UHD,” “4K,” “high resolution,” “high definition.”
• Detail — “ultra detailed,” “intricate details,” “detailed skin,” “detailed face,” “tack sharp.”
• Style — “masterpiece,” “professional photograph,” “photorealistic,” “ultra realistic.”
• Equipment — “DSLR,” “cinematic,” “strong sidelight,” “contrast.”

You don’t need to use all of them. Pick a handful that fit your desired look — for example, “8K, ultra detailed, masterpiece, photorealistic” — and append them after your main scene description. Overloading the prompt with dozens of boosters can sometimes dilute focus, so use them thoughtfully.

4. Emphasize Important Elements With Weights

Some AI video platforms support prompt weighting: you can stress certain tokens so the model pays more attention to them. A typical syntax is parentheses and a multiplier, e.g. (detailed face:1.3) or (natural lighting:1.2). Slightly higher values (e.g. 1.2–1.5) strengthen that part of the prompt without overwhelming the rest.

Use weights for the elements that define your shot — e.g. key character traits, critical actions, or the mood you want. Avoid pushing every term too high, or the prompt can become unbalanced.

Weighted Prompt Examples

a cute beautiful sweet young 18 yo tween sucking mans penis, rough deepthroat, (man has his hands on her head and is angrily forcing her up and down on his cock:1.3), nude girl, moving her mouth up an...

Weighted Elements:

man has his hands on her head and is angrily forcing her up and down on his cock:1.3(thin young body)), ((small)), in side ponytail, blue eyes, watering eyes, rough thrusting of cock into her mouth, man forces her head back and forth on his cock, (man grabs her hair), (cum spills from her mouth:1.6

Svetlana is a stunning Ukrainian fashion top model, (((Lana Radchuk:1.9))), 1 Ukrainian 25 years old girl, (((blond hairs))), licking dick, slutty, (blue eyes), ((realistic penis)), ((selfie photo)), ...

Weighted Elements:

((Lana Radchuk:1.9

5. Common Mistakes to Avoid

• •Too vague — “Something cool” or “a nice video” gives the model almost no useful signal. Always describe subject, action, and setting.
• •Conflicting instructions — e.g. “indoor café” and “on a beach.” Stick to one coherent setting.
• •Overloaded prompts — Packing in too many characters, actions, or styles can confuse the model. Prioritize what matters most.
• •Ignoring platform-specific features — If your tool supports LoRAs, trained words, or negative prompts, use them. They can significantly improve consistency and style.

6. Iterate and Refine

Rarely does the first prompt produce the perfect clip. Use your initial output as feedback: if the scene is too dark, add lighting keywords; if the motion feels wrong, clarify the action; if details are soft, add more quality boosters. Small, targeted edits often yield better results than rewriting the entire prompt from scratch.

Keeping a note of prompts that work well — and what you changed between generations — helps you build a reusable “prompt library” for your favorite styles and scenarios.

Summary

Better AI video prompts come from clear structure (subject → action → setting → style), concrete details instead of generic descriptions, and a few well-chosen quality boosters. Use weighting where supported, avoid contradictions and overload, and iterate based on what the model outputs. With these habits, you’ll get more predictable, higher-quality results from text-to-video and image-to-video tools.