Disclosure: I'm building Extend My Card, and the site offers paid generation credits. I used AI coding tools to build it.

  
The use case is a nine-pocket trading-card binder page: keep a card in the middle and generate the artwork for the eight surrounding pockets. I saw collectors making extended binder art and wanted a tool people could experiment with themselves.

  
I've attached six outputs from different iterations: cosmic Jaxson Dart, Michael Jordan, Bobby Witt Jr., Ben Rice, smoke-themed Dart, and galaxy-themed Dart. They're examples, not a controlled benchmark or a guarantee of what every upload will produce.

  
What works so far: carrying a strong color palette and broad visual theme across the page. What still needs work: exact pattern alignment at the original card's edges, consistent texture detail, and convincing continuation of clipped limbs or equipment. Traditional bordered cards and text-heavy cards can fail.

  
The current pipeline uses Gemini for analysis/source preparation and BFL for outpainting, then places the original card back in the center. It is still an early beta.

  
There's a free first creation. Additional packs are $1.99 for one, $5.99 for five, or $9.99 for ten generations. You can see the tool here: [https://extendmycard.com](https://extendmycard.com)

  
For anyone testing image-extension tools, I'd be interested in how you'd evaluate these: subject continuity, matching the printed texture, or the overall binder-page composition?

Extend My Card: six examples and current limits of AI trading-card outpainting