Wan2.1-T2V-14B is a 14 billion parameter text-to-video model developed by Wan-AI. It uses a diffusion-based architecture and is distributed with full open weights under the Apache 2.0 license. The model can be run locally or via Hugging Face inference providers using the Diffusers library and supports high-resolution video generation from natural language prompts.
In the Text to video space, Wan2.1 T2V 14B takes a focused approach. It focuses on generating high-quality videos from text descriptions without access to proprietary video generation services. It is built as an open-source project for developers. The project is open source (Apache-2.0). Wan2.1 T2V 14B is available on 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 16.6k stars. PulseGate's similarity index places it among 9 comparable projects. Key capabilities include text-to-Video, Diffusers Support, and GPU Acceleration.
Summary written by a language model from the project’s public pages.
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