Recolor Old Photo Restoration Workflow

This workflow utilizes multiple ControlNet, which can perform global and local analysis of images, extract key features (such as brightness, contrast, and color), and refine parameters through skeleton analysis functionality. Combined with the detail restoration capabilities of Stable Diffusion and the enhancement features of ControlNet, it first restores the structure and texture of old photos and then optimizes the overall visual effect.

The Recolor function achieves intelligent coloring, automatically generating realistic colors for black-and-white old photos, completing one-click coloring without the need for complex prompts.

ControlNet ensures that the restored images remain highly consistent with the original photos in key elements such as human posture and scene layout by constraining the feature space of the generation process, avoiding common structural distortion issues in AI generation.