Not very capable, though. It's incredibly hard to get it to fix mistakes and not double down/lie. Creating a new context window and trying again is easier - but I've not had a lot of success getting it to do the thing that isn't obvious to it.
Not in my experience. I asked nb to create a transparent rectangle shape and gave it RGB hex for the fill. It created the box but put the hex as text inside of it and used a checkerboard for its background. When I told it that the image wasn't transparent, it wouldn't budge!
Oh yeah, they don't know what "transparent" means. Most of them generate the Photoshop checkerboard background. They also don't know "upside-down".
There isn't much R&D going into image models and what you're getting is scraps from labs that care more about other things. NBP is the closest to a reasoning image generator we have.
layla5alive|2 days ago
nunez|5 days ago
astrange|4 days ago
There isn't much R&D going into image models and what you're getting is scraps from labs that care more about other things. NBP is the closest to a reasoning image generator we have.