InstantCharacter is a character personalization framework based on diffusion transformers, designed to overcome the limitations of existing learning-based customization methods. The framework's main advantages lie in its open-domain personalization, high-fidelity results, and effective character feature processing capabilities, suitable for generating various character appearances, poses, and styles. The framework utilizes a large-scale dataset containing tens of millions of samples for training to achieve both character consistency and text editability optimization. This technology sets a new benchmark for character-driven image generation.