Vibe AIGC: A New Paradigm for Content Generation via Agentic Orchestration

TL;DR

Vibe AIGC introduces a hierarchical multi-agent orchestration paradigm that enables users to specify high-level vibes, which are then systematically translated into executable workflows, bridging the gap between human intent and AI execution.

Contribution

The paper proposes a novel agentic orchestration framework for content generation, moving beyond prompt engineering to systematic, hierarchical workflows driven by high-level user vibes.

Findings

Enables high-level user vibes to be decomposed into executable agentic pipelines.

Bridges the intent-execution gap in AI content generation.

Transforms AI from a stochastic inference engine to a system-level engineering partner.

Abstract

For the past decade, the trajectory of generative artificial intelligence (AI) has been dominated by a model-centric paradigm driven by scaling laws. Despite significant leaps in visual fidelity, this approach has encountered a ``usability ceiling'' manifested as the Intent-Execution Gap (i.e., the fundamental disparity between a creator's high-level intent and the stochastic, black-box nature of current single-shot models). In this paper, inspired by the Vibe Coding, we introduce the \textbf{Vibe AIGC}, a new paradigm for content generation via agentic orchestration, which represents the autonomous synthesis of hierarchical multi-agent workflows. Under this paradigm, the user's role transcends traditional prompt engineering, evolving into a Commander who provides a Vibe, a high-level representation encompassing aesthetic preferences, functional logic, and etc. A centralized Meta-Planner then functions as a system architect, deconstructing this ``Vibe'' into executable, verifiable, and adaptive agentic pipelines. By transitioning from stochastic inference to logical orchestration, Vibe AIGC bridges the gap between human imagination and machine execution. We contend that this shift will redefine the human-AI collaborative economy, transforming AI from a fragile inference engine into a robust system-level engineering partner that democratizes the creation of complex, long-horizon digital assets.