DreamPose fine-tunes Stable Diffusion to generate coherent videos of fashion models from a single reference image and a target pose sequence. It uses DensePose to extract pose information from target frames and conditions the diffusion model on these poses during fine-tuning on the UBC Fashion Dataset. The system allows both using pretrained models for generation and fine-tuning on custom subjects.