InstantID is a solution based on powerful diffusion models that enables personalized image processing of a single face image across various styles while ensuring high fidelity. We designed a novel IdentityNet that, through the application of strong semantic and weak spatial constraints, integrates face and landmark images with textual prompts to guide image generation. InstantID performs remarkably well in practical applications and can seamlessly integrate with popular pre-trained text-to-image diffusion models (such as SD1.5 and SDXL) as an adaptable plugin. Our code and pre-trained checkpoints will be provided at [URL].