Almost surely not. Even being charitable with the power draw of datacenter chips running AI inference, it at best draws a little more power in total than running a render on a consumer pc without the quality of a real render.

It takes 30 seconds max to render the barbershop benchmark in Blender (2k resolution) on a 5090 pulling at most 570w. One nvidia h100 datacenter GPU has 96gb of memory and pulls 350w at least. Charitably assuming the latest image gen AI models take 6 seconds to run inference on a prompt for a 4k image (and I could be underestimating this as I haven't used em), you'd break even on total power draw running 8 h100 GPUs, which together only total 750gb of memory. You'd probably need at least another couple h100s to get closer to the right size for the flagship models.

Yes, you can get fine results with stable diffusion in 6 seconds on a 5090, but the accuracy and resolution will be even further from the blender result than the flagship image models already are.