MIGC provides a method for controlling multiple instances in text-to-image generation, allowing users to specify exact locations and attributes for multiple objects in a generated image. Built on stable diffusion, it uses a novel attention mechanism to handle spatial constraints and instance-level control. The project includes pretrained weights, a WebUI interface, and evaluation benchmarks for measuring multi-instance generation performance.