// the find
camenduru/text-to-video-synthesis-colab
Text To Video Synthesis Colab
A collection of Google Colab notebooks for running text-to-video generation models — zeroscope, ModelScope, animov, and others — without any local GPU setup. It's a thin wrapper that handles model downloads and inference inside Colab's free tier, aimed at people who want to experiment with T2V models and don't have hardware for it.
Zero local setup — the notebooks handle pip installs, model downloads from HuggingFace, and inference in one shot, which is genuinely useful for quick experiments. Covers a meaningful spread of model families (ModelScope 1.7B, zeroscope v1/v2 at multiple resolutions, animov, potat1) so you can compare outputs without juggling separate repos. The zeroscope XL notebook pairs low-res generation with an upscale pass, which is the right workflow for that model family. Apache 2.0 on the models means the outputs are usable without license headaches.
Last push was March 2024 and the T2V space moved fast — none of these notebooks will expose you to anything competitive with what's available now (CogVideoX, Wan, HunyuanVideo). The notebooks are essentially undocumented pip-install-and-run scripts; if a dependency breaks or a HuggingFace model gets gated, there's no recovery path and the repo won't be updated. No parameter explanations — someone new to diffusion video will have no idea what cfg_scale or num_frames tradeoffs mean. The repo is also a loose pile of 20+ notebooks with no index beyond the README table, and several are commented out or experimental dead ends.