I’m trying to create engaging AI-generated videos, but I’m stuck on writing effective prompts that produce consistent, high-quality results. I’ve tested a few ideas, yet the visuals and style keep coming out wrong or generic. Can anyone share proven tips, examples, or frameworks for crafting the best AI video prompts for different niches and platforms?
Short version. Treat prompts like you are briefing a human video editor.
Here is a simple structure that works well and keeps results consistent:
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Define the job
• Type: “30 second vertical TikTok video” or “2 minute YouTube b‑roll loop”
• Purpose: “product teaser”, “motivational reel”, “tutorial explainer”, etc
• Aspect ratio + fps: “9:16, 1080x1920, 24 fps” -
Lock the visual style
Be very explicit. Example:
• “Flat 2D animation, bold outlines, limited color palette, similar to ‘Into the Spider Verse’ but lower contrast”
• “Cinematic, shallow depth of field, soft lighting, pastel colors, shot on ‘virtual 35mm lens’”If the style drifts, repeat it in every prompt. Copy paste the same “STYLE BLOCK” at the end:
STYLE: “High contrast, hard shadows, teal and orange, realistic faces, no fisheye, no distortion, no glitch.” -
Describe the scene like a storyboard
Break into shots. Do not let the AI guess timing.Example:
Shot 1, 0–3s: Close up of coffee pouring into glass, slow motion, steam visible.
Shot 2, 3–6s: Medium shot of person at desk, morning light, laptop open.
Shot 3, 6–10s: Over the shoulder, screen shows graph going up.The more you use “Shot X, time range, framing, action”, the more stable it feels.
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Control motion and pacing
Add these kinds of lines:
• “Slow camera pan from left to right.”
• “No rapid cuts.”
• “Smooth transitions, no glitch effects, no zooms.”If it keeps adding weird movement, add “static camera” or “tripod shot”.
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Nail character consistency
For recurring characters, define a character profile once, then reuse exact wording. For example:“Character A: young Asian man, mid 20s, short black hair, round glasses, slim build, casual hoodie, no facial hair.”
Use the same description every prompt. Do not abbreviate. Even slight wording changes often shift appearance.
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Use negative prompts aggressively
Most tools react a lot to what you do not want. Examples:
• “No text on screen, no subtitles, no watermarks.”
• “No extra arms, no warped faces, no distorted hands.”
• “No flickering, no glitch transitions, no lens dirt.” -
Steal from outputs you liked
When you get one good result, copy the metadata or prompt and treat it as a template.
Then only change:
• The action
• The setting
Leave style, lens, color, aspect etc the same. -
Example of a solid prompt
“30 second vertical TikTok video, 9:16, 1080x1920, 24 fps.
Theme: productivity tip for students.
Shot 1, 0–4s, close up of an alarm clock on a wooden desk, 7:00 AM, soft warm sunlight from window, shallow depth of field.
Shot 2, 4–10s, medium shot, young woman, mid 20s, brown skin, curly dark hair in bun, wearing blue hoodie, sits at desk with laptop and notebook, tidy room, plant in background.
Shot 3, 10–18s, over the shoulder shot of laptop, simple to-do list on screen, clean UI, high contrast text, no brand logos.
Shot 4, 18–26s, side view, she smiles, checks off tasks in notebook with pen, natural movement.
Shot 5, 26–30s, slow zoom on notebook showing checked tasks, soft focus background.
STYLE: natural lighting, realistic but slightly stylized, pastel color grading, smooth motion, no fast cuts, no text on screen, no subtitles, no glitch effects, no fisheye, no distorted anatomy, no extra limbs.” -
Iterate like this
• First run: focus on structure and pacing
• Second run: tighten style and lighting
• Third run: fix faces and details with stronger negative prompts -
Keep a prompt library
Save 3–5 “go to” templates.
One for talking head.
One for product b‑roll.
One for animated explainer.
Reuse them, only swap out scene descriptions and actions.
If things still come out wrong, post one of your current prompts and the result you are getting. Easy to tweak once people see the exact wording.
I like what @viajeroceleste shared about treating it like a human video brief, but I’d tweak the strategy a bit so you don’t end up writing a screenplay every time.
What actually helped me get consistent outputs was thinking in systems instead of individual prompts:
1. Create a “style bible”, not just a style block
Instead of only pasting the same style paragraph, build a tiny doc with:
- 3–5 reference adjectives you always use
- “soft, cinematic, natural, minimal, clean”
- 2–3 camera / composition defaults
- “eye-level, centered composition, shallow depth of field”
- 2–3 color defaults
- “warm whites, muted colors, no neon, no heavy contrast”
Then in your prompts, literally say:
Use my default style: soft, cinematic, natural, minimal, clean, eye-level, shallow depth of field, warm whites, muted colors, no neon.
Same exact wording, every time. When you change style, create another bible. Treat these like “looks” you can switch between.
2. Lock your “world rules”
Most people describe what they want in the scene but not the rules of the universe. That’s why stuff feels inconsistent.
Example of world rules:
- “Contemporary world, no sci fi, no fantasy elements”
- “Normal human physics, no slow motion unless specified”
- “No text on walls, no brand logos, no recognizable real-world brands”
- “Faces always neutral or mildly positive, no exaggerated emotions unless requested”
Paste those in a small “WORLD RULES” section at the end of every prompt. This massively reduces weird randomness.
3. Use visual references like you would with a real crew
A lot of people underuse this. Don’t just say “like Pixar” or “like anime”. Be more surgical:
- “Lighting similar to a skincare commercial: bright, soft, no harsh shadows”
- “Framing similar to cooking TikToks: top down, centered subject”
- “Movement similar to product b‑roll: slow, smooth, controlled, no handheld feel”
You can even write:
Overall mood similar to a calm morning coffee commercial, but with a tech startup vibe.
You’re kind of triangulating the vibe with familiar categories.
4. Write for variation control
Instead of one big prompt and praying, structure for controlled experiments:
- Prompt A: exact baseline
- Prompt B: same as A but change only “lighting” line
- Prompt C: same as A but change only “camera movement” line
Do not change 4 things at once. You’ll never know what broke it. I know that sounds obvious, but most of us break this rule constantly.
5. Stop over-explaining when you want realism
Tiny bit of disagreement with the super-detailed shot breakdown approach: for hyper-realistic or “camera recorded” looks, over-describing sometimes creates surreal composites.
If you want something that feels like an actual phone-shot video, try simpler:
15 second vertical video, 9:16. Recorded on a smartphone in natural daylight.
A young man sits in a cafe working on a laptop, casual realistic look.
Single continuous shot, no cuts, no transitions, no zooms.
Camera is held steadily at eye level from across the table.
STYLE: realistic, natural color, no exaggerated bokeh, no CGI feeling, no glitches, no text.
So: lots of constraints, but not hyper-dense visual poetry in every sentence.
6. Use “anchors” in the first and last frame
To fight style or identity drift in a clip, explicitly pin both ends:
- “First frame: clearly shows the main character’s face, centered, well lit.”
- “Last frame: same character and outfit, similar lighting, calm expression, no change in art style.”
This nudges the model to keep elements consistent through the middle.
7. Build prompt templates per use case
Instead of 1 mega-template, create small templates for:
- Story / skit
- B‑roll / product
- Looping ambience
- Explainer / tutorial
Each template has its own default:
- Length range
- Shot count range
- Type of movement
- Typical background
Your job becomes: “fill the blanks” not “write a masterpiece” every time.
Something like:
TEMPLATE: PRODUCT B‑ROLL
- Length: 12–20 seconds, vertical, 9:16
- Product: [describe]
- Environment: [describe room / surface]
- Shots: 3–5 shots, each 3–5 seconds
- Motion: slow panning or rotating around product
- STYLE: [your style bible entry]
- WORLD RULES: [your world rules block]
Fill in brackets, done.
8. Write logic, not just aesthetics
Tell the AI why a shot exists so it doesn’t improvise in weird ways:
- “The product is always the visual focus in every shot.”
- “Background objects should be blurred and never distract from the subject.”
- “Hands only interact with the product in natural ways, no exaggerated gestures.”
These small logic rules keep it from going off the rails.
9. Post-mortem your bad outputs
When something comes out wrong, don’t just “try again” with random tweaks. Do a tiny autopsy:
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What exactly failed: composition, lighting, consistency, motion, character, anatomy, artifacts?
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Then add 1 or 2 targeted lines in your next prompt:
- “No fast flickering cuts.”
- “Hands clearly visible with 5 normal fingers, no distortions.”
- “Camera stays at the same height, no sudden jumps.”
If you add 20 new negatives, you’ll sometimes confuse the model more than help it.
10. Accept that some tools have a “house style”
Even perfect prompts hit a ceiling if the model has a strong baked-in aesthetic. If everything keeps looking like a dream sequence or over-sharpened music video, that might be the model, not your writing.
So part of “best prompts” is:
- Matching your style goals to the right tool
- Then using the systems above to stay consistent
TL;DR:
Think in bibles, rules, templates, anchors, and small controlled changes, not just longer descriptions. That’s usually the jump from “randomly cool clips” to “reliable, on-brand videos” without losing your mind rewriting prompts all day.
Skip the screenplay mindset for a second and think like an editor: your job is less “describe everything” and more “control what the model is allowed to improvise.”
Here are angles that complement what @viajeroceleste already shared, without rehashing their system stuff.
1. Separate idea prompt from render prompt
Most people cram story + visuals into one blob. Try two layers:
- Concept / idea text
- Super rough: “30s clip of a founder talking about burnout, in a cozy office, intimate and honest.”
- Render prompt
- Only describes what the camera sees and how it behaves.
You can keep the same idea text and only refine the render prompt. That way you are testing visual instructions, not rewriting the story every run.
2. Describe what should not change between frames
Rather than listing every detail, identify “non negotiables”:
- Character identity (age range, gender presentation, hairstyle, outfit colors)
- Scene identity (same room, same time of day, same light source)
- Emotional band (from calm to mildly excited, but never beyond)
Then literally write:
Across all frames, keep:
- Same character face, hairstyle, outfit colors
- Same room layout and main light direction
- Same calm emotional tone, no big emotional swings
You are telling the model which variables are locked and which can move.
3. Use prompt hierarchies
Instead of one flat list of instructions, prioritize:
- Story priority
- Visual priority
- Style priority
- Forbidden items
Example:
STORY PRIORITY: viewer must clearly understand that the woman is quitting a stressful job to start a peaceful solo business.
VISUAL PRIORITY: her face and hands are always visible and readable. No distracting background movement.
STYLE PRIORITY: realistic office lighting, handheld feel, natural color, no heavy filters.
FORBIDDEN: no sci fi, no fantasy, no fast zooms, no text, no glitch effects.
If something conflicts, the model has a “stack” to follow, which stabilizes outputs.
4. Prompt the edit, not just the shots
Most AI tools improvise edits unless you tell them otherwise. So add edit logic:
- “Maximum 4 cuts in 20 seconds.”
- “Each shot lasts at least 3 seconds.”
- “No jump cuts on the same subject position.”
- “If there is motion, let the motion finish before cutting.”
This sounds nitpicky, but it is often the difference between “TikTok chaos” and “brand video.”
5. Embrace prompt recycling with tiny mutations
Instead of writing “fresh” prompts, reuse your best one and duplicate it:
- Version 1: original
- Version 2: change only time of day
- Version 3: change only angle of camera
- Version 4: change only emotional intensity
The key is: copy the entire successful prompt and edit a single variable. Over time you end up with a small library of extremely reliable “base prompts” that you trust.
6. For faces, anchor identity more than aesthetics
When your characters keep morphing, you might be describing vibe more than identity. Try:
- Age bracket: “late 20s, early 30s”
- Ethnicity / features if relevant
- Hair length, color, style
- Clothing category, not fashion poetry: “simple dark t-shirt, no logos, plain jeans”
Then add:
The character’s facial structure, age, hairstyle and clothing should remain consistent in every frame.
This is more powerful for consistency than throwing extra art terms at the model.
7. When style keeps coming out wrong, flip the prompt
If your outputs lean too “epic” or “music video” even after constraints, invert what you say:
Instead of “cinematic, dramatic, moody,” try:
- “Looks like a casual vlog recorded on a mid-range phone, not cinematic.”
- “Lighting similar to a normal office, not a film set.”
- “No dramatic color grading, no teal and orange, no strong vignettes.”
Framing the style as “not that, but this ordinary thing” can drag the model away from its built-in drama.
8. Give it audience context
AI video reacts surprisingly well when you say who the video is for:
- “This is for a serious B2B LinkedIn audience, no memes or silly expressions.”
- “This is for a short TikTok tip, must read well on a small vertical screen.”
- “This is an internal training clip, clear actions more important than aesthetics.”
Audience context helps the model pick between multiple valid interpretations of the same words.
9. Run short “probe clips” before final prompts
Instead of jumping to a 30 second clip, do 3–5 second probes:
- Same prompt, 5 seconds, focus on composition only.
- Adjust composition lines.
- When that is right, increase duration and add more motion.
You are effectively “calibrating” the model to your visual language on a tiny scale, then scaling up.
10. Consistency checklist before you hit generate
Quick pass over your prompt:
- Are you mixing contradictory terms like “handheld” and “perfectly smooth gimbal”?
- Are you asking for both “natural look” and “hyper stylized neon lighting”?
- Did you specify frame orientation (9:16 vs 16:9) and clip length?
- Did you lock character, place, and time of day?
Fix those contradictions first. Many “wrong” outputs start with conflicting instructions, not a bad model.
On the product side: a dedicated prompt “hub” tool like the empty-titled product you referenced can be useful if it lets you:
Pros for that tool:
- Centralize your best-performing prompts and clone them easily
- Tag prompts by use case like product b roll, explainers, ads
- Compare versions to see what wording changed between successes and failures
Cons:
- Extra tool overhead if you are already organized in docs or Notion
- Might push you into overtemplatizing, which can make your videos feel samey if you never break the pattern
Compared with @viajeroceleste’s approach, I’d lean a bit less on heavy “bibles” for every scenario and more on these small, testable layers: idea text, render prompt, non negotiables, and edit rules. You can combine both styles though. Treat their system structure as the skeleton and use these hierarchy and audience tricks as the muscle that actually moves your results where you want.