I2V-Adapter aims to transform static images into dynamic, realistic video sequences while preserving the fidelity of the original image. It utilizes lightweight adapter modules to concurrently process noisy video frames and input images. This module acts as a bridge, effectively connecting the input to the model's self-attention mechanism, maintaining spatial details without modifying the T2I model's structure. I2V-Adapter boasts a reduced parameter count compared to traditional models and guarantees compatibility with existing T2I models and control tools. Experimental results demonstrate that I2V-Adapter can generate high-quality video outputs, holding significant implications for AI-driven video generation, particularly in creative applications.