MCSFrom now on
designernot required
Attach one image you liked, and it becomes your design
marketernot required
No resizing — every platform size comes out ready
One reference in, an image of the same feel out
Try it
Walk the generation flow yourself
One reference and one line, or a single URL, is enough; the system fills in the rest. The demo below reproduces the real pipeline order, and the thumbnail on the left is the reference actually attached when that output was made.
One reference + one article URL. Card structure, copy and colour balance were filled in by the system.
Make a 3-step checklist card set from this article
- •Reading the reference. Layout, type and colour
- •Drafting copy. The stage a human checks and edits
- •Assembling the prompt. Approved copy injected verbatim
- •Generating the image. Via fal.ai, as one batch
- •Copy-match review. A separate call compares the text
Fixed-sample demo · no AI call, no image credit spent. In the live service analysis is free and only successful images count against the monthly quota.
Difference
Not a tool that outputs images, but one that finishes content
Generation happens anywhere. The questions are whether the text is right, what a re-run costs, and whether you can reuse what you made.
| Item | Generic AI image tools | Template design tools | MCS |
|---|---|---|---|
| Korean text | Often breaks; invents characters | Accurate, but you type everything | Copy is approved first and injected verbatim, then a separate call verifies it |
| Editing text | Regenerate the image, cost each time | Instant | Locked before the image exists, so there is no regeneration cost |
| Quality judging | None | Human judgement | A different call scores six criteria; a fail triggers up to two rebuilds |
| Using references | Style vaguely echoed | Fixed to a template | Role stated in four words. Follow it / keep product · person / place original |
| Character consistency | A different person every time | You reuse the same stock photo | Lock a person or character in front, left, right and back views, then reuse it — the same face across every image |
| Ad sizes | Regenerate or crop for every size | Re-fit a template for every size | Pull Naver, Google and Kakao sizes from one image you already made — nothing is regenerated, so no credits |
| Reusing output | Download and done | Managed as files | Returns to the library as the reference for the next job |
| Cost | Failures billed too | Flat fee | Analysis free, only successful images counted. Model weights 4 / 3 / 1 |
Comparison items are drawn from gates this system actually implements. Generation routes through fal.ai, and per-model cost differences (up to 4.6×) are reflected as credit weights.