FlowSync
Open App
中文
ProImage5 nodes
Score 76

AI Photo Restoration

Restore degraded portraits: GFPGAN face reconstruction + Real-ESRGAN super-resolution — output a sharp, print-ready restoration from any scanned vintage photo.

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What does this workflow do?

图像质量评估（划痕/噪点/褪色/模糊 多维度检测）→ 多模型超分辨率重建（Real-ESRGAN + HAT 自动选优）→ 人脸检测与对齐 → GFPGAN 五官细节生成 → CodeFormer 纹理融合（保留原图特征）→ 可选 DeOldify AI 着色 → 色彩保真校正 → 前后对比报告生成

System flow

图像质量评估（划痕/噪点/褪色/模糊 多维度检测）→ 多模型超分辨率重建（Real-ESRGAN + HAT 自动选优）→ 人脸检测与对齐 → GFPGAN 五官细节生成 → CodeFormer 纹理融合（保留原图特征）→ 可选 DeOldify AI 着色 → 色彩保真校正 → 前后对比报告生成

Pipeline breakdown

Pillow image Real-ESRGAN image GFPGAN image Pillow image LLM Reasoning image
  1. Pillow pillow — Image pre-processing — deskew, denoise, crop and normalise before analysis image → json
  2. Real-ESRGAN realesrgan — AI super-resolution upscaling that restores detail without artefacts image → image
  3. GFPGAN gfpgan — Face restoration that rebuilds facial detail in degraded portraits image → image
  4. Pillow pillow — Image pre-processing — deskew, denoise, crop and normalise before analysis image → image
  5. LLM Reasoning llm — Large-language-model step that extracts, classifies, validates or writes structured output image → text

Workflow Reputation Score

Based on executions, success rate, update frequency, component quality, and user rating.

76Overall
★★★★★ 4.4
▶Executions
30
✓Success rate
100
↻Update frequency
85
⚙Component quality
90
★User rating
88

Based on executions, success rate, update frequency, component quality, and user rating.

Components used

Pillowpillow

Image pre-processing — deskew, denoise, crop and normalise before analysis

python-pillow/Pillow ↗
Real-ESRGANrealesrgan

AI super-resolution upscaling that restores detail without artefacts

xinntao/Real-ESRGAN ↗
GFPGANgfpgan

Face restoration that rebuilds facial detail in degraded portraits

TencentARC/GFPGAN ↗
LLM Reasoningllm

Large-language-model step that extracts, classifies, validates or writes structured output

FlowSync proprietary

How is this different from n8n or Zapier?

Unlike generic workflow builders, FlowSync workflows ship pre-configured with AI skills baked into every node — OCR, LLM reasoning, transcription, super-resolution — not just webhook triggers. Each node is white-box auditable: you see input, output, and config. Deployment is instant — no self-hosting, no API-key per node.

Use cases

  • 家族老照片数字化修复
  • 档案馆历史照片增强
  • 证件照高清化
  • 老旧影视资料修复

Author & Source

This workflow is maintained by the FlowSync team. All components are open-source or commercially licensed. Source code for each component is linked in the Components section above.

Pricing: Free tier available · 30% commission on forks · PRO tier · Official

Field notes

帮客户修复童年照片，Remini 每月 $10 但效果不如这个管线。GFPGAN+ESRGAN 组合太强了。

— 摄影师 阿杰, 婚礼摄影师

修复了一批 1940 年代的老照片，效果比外面照相馆好太多，而且一次能批处理几十张。

— 历史研究员 陈, 档案馆

Data handling

您上传的照片仅用于本次修复处理。我们不收集、不存储、不用于模型训练。处理后原始照片和修复结果默认仅您本人可访问。支持处理后立即彻底删除。

FlowSync Workflow Marketplace · 76 reputation score · 30% execution · 100% success · 5-node white-box pipeline · maintained by FlowSync Official

Ready to run?

Restore degraded portraits: GFPGAN face reconstruction + Real-ESRGAN super-resolution — output a sharp, print-ready restoration from any scanned vintage photo.

Run Old photo AI restoration → Browse all workflows →