AI YouTube Thumbnail Generator

Create a 16:9 YouTube thumbnail concept from your video idea and optional references, then review every word before publishing.

This page creates one reviewable raster concept, not an editable layered file, automatic YouTube upload, or promise of clicks, ranking, watch time, or virality. Check generated text, faces, hands, products, labels, logos, rights, and the current YouTube requirements before publishing.

Create a long-form YouTube thumbnail concept in one shared workspace

Start from a tutorial, product-review, or story-interview prompt, then compare the active model settings and displayed credit cost before generation.

1 · Describe or add your subject

Be specific about what must stay in the frame. 0 / 4000
2 · Choose a lookTutorialChange
What do you need?

Style and layout examples. Your inputs determine the content.

Model

Creation results

Your next generation will appear here with its status and recovery actions.

How to use this tool · YouTube thumbnails

  1. State the video’s promise

    Describe the topic and one short hook; add an authorized face or product reference if helpful.

  2. Choose a clear landscape layout

    Use a suitable ratio such as 16:9 and keep the main subject large enough to read at a small size.

  3. Review at thumbnail size

    Generate here, check text and facial details, then download for your upload workflow.

Make the video topic recognizable

A desk-setup video

Creative example: A desk-setup video

Use a cozy desk, a laptop and a pet to introduce a home-workspace tour. Leave room for a short video title.

A skincare review

Creative example: A skincare review

Place the reviewed product at the center and use a concise topic instead of invented performance claims.

A live workshop announcement

Creative example: A live workshop announcement

Give an upcoming workshop a host-led cover and a short event title so viewers recognize the live session.

A music premiere

Creative example: A music premiere

Translate the track’s mood into a landscape visual that is distinct from the square album cover.

AI YouTube Thumbnail Generator questions

Long-form thumbnail concepts, references, text review, model limits, credits, and publishing checks.

What does this AI YouTube thumbnail generator create?

It creates one 16:9 raster thumbnail concept from a prompt and optional authorized references. It is a reviewable visual draft, not an editable layered file, automatic YouTube upload, or guaranteed platform-ready submission.

What size and ratio should I use for a YouTube thumbnail?

This workspace starts at 16:9 for long-form YouTube video concepts. Check the current custom-thumbnail guidance in the visible YouTube Help link above before exporting or uploading, because platform requirements can change.

Can it guarantee clicks, CTR, watch time, ranking, revenue, or viral performance?

No. A thumbnail concept can clarify an honest viewing promise, but it cannot guarantee audience behavior or platform outcomes. Review the title, thumbnail, video, and current YouTube guidance together before publishing.

Can I upload a face, product, or other reference image?

Yes, if you have permission to process it. References guide a new result and do not guarantee exact identity, product shape, label, logo, color, or detail preservation; inspect the output before use.

Will generated words, faces, hands, products, labels, and logos be correct?

Not reliably. Review every generated word and important visual detail manually, and replace or correct anything inaccurate, misleading, unsafe, or not authorized for publication.

Which models, credits, and history are available?

The selector loads SugarCube's current public image model catalog. The active model determines its supported ratios, reference allowance, prompt limit, and displayed credit cost; authenticated results stay connected to this page history.

Does this guidance apply to Shorts, vertical videos, or podcast artwork?

No. This page focuses on 16:9 long-form video thumbnail concepts. Shorts and other vertical videos use different viewing contexts, and podcast artwork or playlist art needs its own platform-specific requirements and review.

What happens if generation fails or I need another direction?

The shared workspace preserves recoverable input, shows the existing retry path, and keeps page history for authenticated users. Simplify the prompt or review the active model limits before trying another honest concept.

Make the viewing promise visible

Return with one honest topic and a short headline; clicks are never guaranteed.

Return to the tool