Real examples and reusable prompts

AI Creation Case Library

Start from curated posters, beauty reports, and video creative directions. Image cases show real output assets, while video cases provide reusable prompts and practical setup notes.

Choose an example by job

Check the starting asset, target output, and evidence boundary before opening a poster, beauty, video, or image-to-video workflow.

Portrait poster examples

Use these when one authorized selfie should become a social cover, event visual, or personal IP asset.

Starting asset
Clear selfie or portrait reference
Target output
9:16 poster, cover, and visual direction
Evidence boundary
Image cases show existing static outputs; they do not promise identical composition or likeness for every selfie.
Open AI Style Poster

Beauty report examples

Use these when tone observations, shade recommendations, and shopping reasons need to become a shareable report.

Starting asset
Authorized selfie plus brand or shade direction
Target output
Lipstick recommendation report or beauty shopping asset
Evidence boundary
Report cases are creative and shopping references, not replacements for in-person shade tests, skin diagnosis, or professional styling.
Open Lipstick Report

Video direction examples

Use these to validate camera rhythm for launches, campaign teasers, or short-form ads.

Starting asset
Script, product image, campaign brief, or shot prompt
Target output
Reusable video prompt and generation path
Evidence boundary
Video direction cases do not fake a finished render; they explain the prompt, model, and asset-prep path.
Open AI Video Generator

Product loop examples

Use these when one product image should become a stable lightweight loop for product pages or ad tests.

Starting asset
Clear product image or poster asset
Target output
Short loop direction with subtle camera motion and stable subject
Evidence boundary
The case helps choose HappyHorse 1.0 or image-to-video, while final stability still depends on source quality, motion constraints, and reruns.
Open Image-to-Video
Immersive portrait poster example
Personal brandGPT Image 2

Immersive Portrait Style Poster

Keep the subject recognizable while using lighting, space, and title hierarchy for a premium feel.

poster9:16GPT Image 2
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Orbit composition portrait poster example
Social contentGPT Image 2

Orbit Composition Portrait Poster

Use orbiting elements to organize the composition around the subject and keywords.

coverpersonal IPGPT Image 2
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Scene storytelling portrait poster example
Event visualGPT Image 2

Scene Storytelling Portrait Poster

Use scene, lighting, and small title details so the output feels like a complete poster, not only an avatar.

storytellingeventGPT Image 2
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Lipstick recommendation report example
Beauty shoppingGPT Image 2

Lipstick Shade Matrix Report

Put observations, try-on matrix, and occasion guidance into one report visual.

lipstickshopping guidereport
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Beauty commerce recommendation asset example
Commerce contentGPT Image 2

Beauty Commerce Recommendation Asset

Show shades, occasions, and makeup notes within one visual.

commercebeautyGPT Image 2
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Seedance 2.0 product launch video example
Product launchSeedance 2.0

Product Launch Video Direction

Use a reusable prompt to define the camera rhythm, then bring product imagery into the video tool for a draft.

Seedance 2.0video directionlaunch
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HappyHorse 1.0 product loop motion example
Product motionHappyHorse 1.0

Product Loop Motion Direction

Start from one product image and create a stable loop with subtle camera motion and a smooth ending.

HappyHorse 1.0loop videocommerce
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Example library FAQs

How should I use the VividAI example library?

Choose a case by starting asset and target output: portrait poster, beauty report, video direction, or product loop. Then open the related prompt, model page, or generation tool.

Are video examples finished video renders?

Not every video case shows a finished render. Video direction cases explain the prompt, model, and asset-prep path without faking a render or promising identical results.

Do examples prove my result will be identical?

No. Examples help choose a starting point and workflow, while final output still depends on source quality, prompt, model, format, motion constraints, and reruns.