Those are both good benchmark prompts. Z-Image Turbo doesn't like them either:

Tiger on pogo stick: https://i.imgur.com/lnGfbjy.jpeg

Dunno what this is, but it's not a pogo stick: https://i.imgur.com/OmMiLzQ.jpeg

Nano Banana Pro FTW: https://i.imgur.com/6B7VBR9.jpeg

It's a tough test for local models - (gpt-image and NB had zero problems) - the only one that came reasonably close was Qwen-Image

Z-Image / Flux 2 / Hidream / Omnigen2 / Qwen Samples:

https://imgur.com/a/tB6YUSu

This is where smaller models are just going to be more constrained and will require additional prompting to coax out the physical description of a "pogo stick". I had similar issues when generating Alexander the Great leading a charge on a hippity-hop / space hopper.

You are right, just tried even with reference images it can't do it for me. Maybe with some good prompting.

Because in theory I would say that knowledge is something that does not have to be baked in the model but could be added using reference images if the model is capable enough to reason about them.

When given an image of an empty wine glass, it can't fill it to the brim with wine. The pogo stick drawers and wine glass fillers can enjoy their job security for months to come!

You can still taste wine in the metaverse with the mouth adapter and can get a buzz by gently electrifying your neuralink