Nano Banana 2 only supports 1K resolution (1024x1024) natively. Anything above that is upscaling. So this matches SDXL. GPT Image 2 does support 4k natively (but experimentally).
replyWhere did you get that info from? According to Google's own docs as well as my own image generation tests via the API, it supports up to 4K natively for gemini-3.1-flash-image-preview (aka NB2).
replyIt just defaults to 1K. But I didn't see anything in the docs stating that it's just a simple upscale for larger resolutions.
https://ai.google.dev/gemini-api/docs/image-generation#gener...
From: https://aistudio.google.com/models/gemini-3-pro-image
reply> Produce production-ready assets with native 1K output and built-in upscaling to 2K and 4K resolutions
The API doc you linked is misleading.
Yeah - if that's true then it's even worse because the output price says
reply $0.067 per 1K image*, $0.101 per 2K image*, and $0.151 per 4K image*.
It's not upscaling for NB2, 4K outputs are very different from 1K, and output tokens count is also different.
replyIs SDXL still the best local image model all these years later? Damn, that’s sad…
replyWith the number of fine-tuned LoRAs and checkpoints - from a realism standpoint, yes SDXL is still very viable. From a prompt adherency perspective, absolutely not.
replyQwen-Image-2512 / Z-Image / Flux.2 absolutely crush SDXL if you're actually generating moderately complex scenes.
Do you still need a wacky backend to run them locally or does LM Studio make it easy nowadays? Last I use a local diffusion model was late 2022.
replySo I use a combination of Neo Forge and ComfyUI. Forge has an easier learning curve but ComfyUI gets all the new "hotness" almost immediately since there's so much custom nodes for it.
replyIf you're on a Mac, I've heard that Draw Things is supposed to be pretty "batteries included" simple for image gen along the same lines as LM Studio.
https://github.com/Haoming02/sd-webui-forge-classic/tree/neo