A text-to-image model is generating one image over 50 sampling steps from the prompt
a red sports car parked on a beach at sunset
The prompt is encoded once into a set of vectors, and those vectors are what every denoising step reads through cross-attention.
After step 40 finishes, someone reaches in and swaps the stored prompt vectors for the encoding of a completely different sentence:
a blue bicycle in a snowy pine forest
Nothing else is touched. The same partly-denoised latent carries on, with the same seed and the same schedule, and the remaining 10 steps run normally before the decoder produces the final image.
What is that image most likely to look like?
Select all that apply.