How to generate synthetic feature instead of synthetic image using Diffusion-based generative Model?

Question

Is it possible to pass some extracted features from the pre-trained ResNet model to a diffusion model for training and further generate synthetic features instead of images like GAN or VAE?

P.S. I tried to do so but it yielded some garbage output.