This paper focuses on the application and exploration of Artificial Intelligence-Generated Content (AIGC) in the creation of ink animation. As a uniquely Chinese art form, ink animation has undergone significant developmental stages, including the traditional hand-drawn period, the digital exploration phase, and the AIGC-driven era. Currently, AIGC technology, along with its efficient generation capabilities and diverse expressive potential, provides new creative pathways for ink animation. However, if we directly use closed-source AI video generation tools, such as Runway and Vidu, the generated ink painting style is unsatisfactory with consistent characters and predefined movements. To solve these problems, in this paper, we propose a novel deep Human-AI Collaborative framework (HAIC) for creating ink animation. Specifically, it first employs an open-source generation tool as initial creation, then incorporates a sophisticated adjusting mechanism to improve the art style. The adjusting module utilizes three steps to generate high-quality creations, i.e., model training, generation process control, and consistency optimization. Subjective evaluations comparing the results generated by Runway, Vidu, and the proposed method demonstrate that the latter significantly enhances the ink painting stylistic features, improves character consistency across clips, and stabilizes character movements.