Still frustrated with the high VRAM demands and long waiting times for AI video generation? RunningHub now offers the TeaCache-accelerated Image-to-Video ComfyUI workflow. This workflow uses the Van2.1KJ model and integrates TeaCache acceleration technology, enabling individual creators and professional teams to efficiently produce cinematic-grade dynamic videos.
What is TeaCache?
TeaCache (Timestep Embedding Aware Cache) is a caching method designed for video diffusion models, image diffusion models, and audio diffusion models. It accelerates the process without requiring training and has minimal impact on video quality.
TeaCache can estimate and leverage the differences between model outputs across time steps to boost the overall inference speed, achieving an average speedup of 30%-40%. In some cases, the speedup can reach up to 2.8 times, significantly improving the process.
We invite you to log in to RunningHub and dive into this enhanced experience.
RunningHub is the world’s first open-source ecosystem-based AI graphic, audio, and video AIGC application co-creation platform. Through a modular node system and cloud computing power integration, it transforms complex processes such as design, video production, and digital content generation into “building block” style operations. The platform serves users from 144 countries, processing over a million creative requests daily, fundamentally reshaping the traditional content production model.
RunningHub is not only a creation tool but also a creator ecosystem community! It supports developers in uploading nodes and workflows to earn revenue, forming a sustainable economic model of “creativity – development – reuse – monetization.”
