ali-vilab/text-to-video-ms-1.7b is a 1.7 billion parameter text-to-video model based on a diffusion pipeline. It can generate short video clips from text prompts such as "Astronaut in a jungle." The model is distributed via Hugging Face with Diffusers support and includes guidance on usage, limitations, and training data. It is licensed under cc-by-nc-4.0.
Text To Video Ms 1.7b sits in PulseGate's Video generation category. It focuses on generating short video sequences from natural language text descriptions. Text To Video Ms 1.7b is an open-source project aimed at developers. The project is open source (Apache-2.0). It runs on the web, the command line, and API.
Behind Text To Video Ms 1.7b is ali-vilab, and it first shipped in 2022. Development happens publicly on GitHub with 9k stars and 41 commits in the last 90 days. Key capabilities include text-to-Video, Diffusion Pipeline, and Long Video Generation.
Summary written by a language model from the project’s public pages.
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