LongCat-Video-Avatar digital human text-to-video long video — v1.0

This workflow is built to generate long, audio-driven videos of a digital avatar using the LongCat-Avatar model. Its core function is to synchronize a character's lip movements and facial expressions with a provided audio track. The system processes the video in sequential, overlapping chunks, allowing it to maintain consistency and create extended, seamless animations from a single reference image.

In practice, the workflow takes a reference image and an audio file as input. It uses an audio processing pipeline to create motion embeddings that drive the avatar's performance. The "long video" capability is handled by an iterative process where the end of one generated segment is used as the starting point for the next, ensuring smooth transitions and making it effective for producing continuous, long-form talking avatar content.

🎥 YouTube Video Tutorial Want to know what this workflow actually does and how to start fast? This video explains what the tool is, how to launch the workflow instantly, and shares my core design logic — no local setup, no complicated environment. Everything starts directly on RunningHub, so you can experience it in action first. 👉 YouTube Tutorial: Before you begin, I recommend watching the video thoroughly — getting the full context helps you understand the tool faster and avoid common detours.