VGen

Why we included this project

VGen is one of the more practical places to start if you want to build or fine-tune diffusion-based video generators instead of just calling an API. Maintained by Alibaba's Tongyi Lab, it gathers several published methods in one repo: I2VGen-XL turns a still image into a high-resolution clip, VideoComposer gives you control over motion and composition, and InstructVideo lets you steer generation with human feedback. Having them side by side makes it easy to compare conditioning strategies and pick what fits your use case without maintaining multiple codebases. The training and inference code is included, along with utilities for sampling, visualization, and acceleration, so a team can move from a released checkpoint to its own fine-tuned model. If text-to-video, image-to-video, or controllable synthesis is your focus and you want reference implementations with released weights, this is a solid codebase to dig into.