

Recolor Old Photo Restoration Workflow
This workflow utilizes multiple ControlNet, allowing for global and local analysis of images, extracting key features (such as brightness, contrast, color), and fine-tuning parameters through skeleton analysis functionality. Combined with Stable Diffusion's detail restoration capability and ControlNet's enhancement features, it can first restore the structure and texture of old photos and then optimize the overall visual effect.
Recolor functionality achieves intelligent coloring, automatically generating realistic colors for black-and-white old photos without the need for complex prompt words, enabling one-click coloring.
ControlNet ensures that the restored images maintain high consistency with the original photos in core elements such as character poses and scene layouts by constraining the feature space of the generation process, avoiding common structural distortion issues in AI-generated images.
Recolor Old Photo Restoration_Online Raw Image
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小莫MO的舒适ui
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小莫MO的舒适ui
2025-03-01 Update
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Workflow introduction
Recolor Old Photo Restoration Workflow
This workflow utilizes multiple ControlNet, allowing for global and local analysis of images, extracting key features (such as brightness, contrast, color), and fine-tuning parameters through skeleton analysis functionality. Combined with Stable Diffusion's detail restoration capability and ControlNet's enhancement features, it can first restore the structure and texture of old photos and then optimize the overall visual effect.
Recolor functionality achieves intelligent coloring, automatically generating realistic colors for black-and-white old photos without the need for complex prompt words, enabling one-click coloring.
ControlNet ensures that the restored images maintain high consistency with the original photos in core elements such as character poses and scene layouts by constraining the feature space of the generation process, avoiding common structural distortion issues in AI-generated images.
Nodes Information
19
CLIPTextEncode
CheckpointLoaderSimple
ControlNetApply
ControlNetLoader
ImageScale
KSampler
LoadImage
SaveImage
VAEDecode
VAEEncode
CR Apply Multi-ControlNet
CR Multi-ControlNet Stack
ConstrainImage|pysssss
FaceRestoreCFWithModel
FaceRestoreModelLoader
ImageGenResolutionFromImage
Label (rgthree)
LineArtPreprocessor
Zoe-DepthMapPreprocessor
Recolor Old Photo Restoration Workflow
This workflow utilizes multiple ControlNet, allowing for global and local analysis of images, extracting key features (such as brightness, contrast, color), and fine-tuning parameters through skeleton analysis functionality. Combined with Stable Diffusion's detail restoration capability and ControlNet's enhancement features, it can first restore the structure and texture of old photos and then optimize the overall visual effect.
Recolor functionality achieves intelligent coloring, automatically generating realistic colors for black-and-white old photos without the need for complex prompt words, enabling one-click coloring.
ControlNet ensures that the restored images maintain high consistency with the original photos in core elements such as character poses and scene layouts by constraining the feature space of the generation process, avoiding common structural distortion issues in AI-generated images.
Nodes Information
19
CLIPTextEncode
CheckpointLoaderSimple
ControlNetApply
ControlNetLoader
ImageScale
KSampler
LoadImage
SaveImage
VAEDecode
VAEEncode
CR Apply Multi-ControlNet
CR Multi-ControlNet Stack
ConstrainImage|pysssss
FaceRestoreCFWithModel
FaceRestoreModelLoader
ImageGenResolutionFromImage
Label (rgthree)
LineArtPreprocessor
Zoe-DepthMapPreprocessor
