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 Video generation 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. Wan2.1 T2V 14B is an open-source project aimed at developers. The project is open source (Apache-2.0). The product ships for the command line and API.
Behind Wan2.1 T2V 14B is Wan-AI, and the product 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 tools. Among its 3 catalogued features are text-to-Video, Diffusers Support, and GPU Acceleration.
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