Usually judges would care more about whether the bytes came from than how many of them there are.

Since SD is trained by gradient updating against several different images at the same time, it of course never copies any image bits straight into it. Since it's a latent-diffusion model, actual "image"ness is limited to the image encoder (VAE), so any fractional bits would be in there if you want to look.

The text encoder (LAION OpenCLIP) does have bits from elsewhere copied straight into it to build the tokens list.

https://huggingface.co/stabilityai/stable-diffusion-2-1/raw/...