That is impossible. You might be able to do it if you invented a completely different method of image generation, but the amount of original images present in a

That is impossible. You might be able to do it if you invented a completely different method of image generation, but the amount of original images present in a diffusion model is 0% with reasonable training precautions, and attributing its weights to particularly any of its input is nearly arbitrary. (Also, it's entirely possible that eg a model could generate images resembling your work without "seeing" any of your work and only reading a museum website describing some of it. Resemblance is in the eye of the beholder.)