stable-diffusion-videos is a Python package that creates video content using Stable Diffusion models. It wraps Hugging Face’s diffusers library to generate image sequences by interpolating between multiple text prompts, then stitching them into video files. Users provide a list of prompts and seeds, specify interpolation steps, and the pipeline generates intermediate frames by exploring the model’s latent space between concept embeddings.