AI Drawing Generator revolutionizes drawing generation by incorporating conditional control text-to-image diffusion models. This neural network structures allow for task-specific conditions to be learned end-to-end, enhancing pretrained large diffusion models.

ControlNet, with its robust learning capabilities, can effectively handle various input conditions, from edge maps to keypoints, expanding the applications of large diffusion models. Compatible with stable diffusion v1-5, it provides users with the flexibility to choose models based on their specific needs.