# Image-to-image translation

DiLightNet is an image generation system based on diffusion models, focusing on fine-grained lighting control, capable of producing images with precise lighting effects.

Image generation and editing model based on depth information, supporting high-quality image generation through text prompts and depth maps

ControlNet v1.1 is the successor to ControlNet v1.0, enabling control over diffusion models through additional conditions, particularly suited for doodle-based generation tasks.

ControlNet v1.1 is the successor model of ControlNet v1.0, used to control diffusion models such as Stable Diffusion through open pose image conditions.

An image generation model fine-tuned based on Stable Diffusion 1.5, focusing on generating semi-realistic style images.

A 2.5D style image generation model fine-tuned based on Stable Diffusion 1.5, supporting text-to-image and image-to-image conversion