Wan2.2-TI2V-5B-Diffusers is a 5 billion parameter text-to-video and image-to-video model from Wan-AI. It uses a diffusion-based pipeline to create high-quality videos from textual descriptions or input images. Available on Hugging Face with Diffusers library support, it targets video generation research and creative applications.
Wan2.2 TI2V 5B is a Video generation project. It focuses on generating coherent videos from text prompts or reference images using diffusion models. It is built as an open-source project for developers. The project is open source (Apache-2.0). It runs on the web, the command line, and API.
It is developed by Wan-AI, and it first shipped in 2025. The project is developed in the open on GitHub with 16.8k stars. Among its 3 catalogued features are text-to-Video, image-to-Video, and Diffusion Pipeline. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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