stable-diffusion-videos

Why we included this project

To turn two Stable Diffusion prompts into a smooth animated sequence, this package interpolates through latent space and outputs frames plus an MP4. It wraps the diffusers library in a simple Python API, so you set the two prompts, seeds, and interpolation steps and get a video back, with an optional Gradio UI if you prefer clicking over scripting. A nice extra is music-aware interpolation: give it an audio file and frame offsets and the morphing syncs to the beat, which suits quick art-house clips or social posts. There's also a Colab notebook ready to run on free GPUs, so you can test the workflow before integrating it into your own pipeline. For teams already generating with Stable Diffusion, this adds motion with minimal extra dependencies compared to standing up a full video production stack.