Files
SnapOtter/apps/docs/tools/image/enhance-faces.md
T
SnapOtterandGitHub ec98dfde9a feat(landing,docs): SEO fixes and query-matched tool pages (#383)
Landing:
- Preload the Bricolage display font (LCP heading) to cut first paint
- Cap tool-page meta descriptions at ~160 chars via whole-sentence
  truncation, so SERP snippets no longer overflow or cut mid-phrase
- Drop dead HowTo + FAQPage JSON-LD from tool pages (Google removed
  HowTo rich results in 2023 and FAQ rich results in 2026); the visible
  content stays. Breadcrumb + WebApplication schema retained
- Shorten 22 tool titles that exceeded the ~60-char SERP limit
- Add an optional h1 override to tool SEO data
- Rewrite adjust-colors, smart-crop, and ringtone-maker to match real
  Search Console query intent (saturation; object-aware cropping;
  convert audio to ringtone), with query-matched H1s and FAQs

Docs:
- Add meta descriptions to 20 pages missing frontmatter

Repo:
- Ignore local credential JSON files (.secrets/, *client_secret*, *service_account*)
2026-07-01 16:20:05 +08:00

83 lines
2.5 KiB
Markdown

---
description: Restore and sharpen blurry or low-quality faces in images with GFPGAN and CodeFormer AI models.
---
# Face Enhancement
Restore and enhance faces in images using AI models (GFPGAN/CodeFormer).
## API Endpoint
`POST /api/v1/tools/image/enhance-faces`
**Processing:** Asynchronous (returns 202, poll `/api/v1/jobs/{jobId}/progress` for status via SSE)
**Model bundle:** `upscale-enhance` (4-5 GB)
## Parameters
| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| file | file | Yes | - | Image file (multipart) |
| model | string | No | `"auto"` | Model to use: `auto`, `gfpgan`, `codeformer` |
| strength | number | No | `0.8` | Enhancement strength (0-1). Higher values produce stronger enhancement |
| onlyCenterFace | boolean | No | `false` | Only enhance the most central/prominent face |
| sensitivity | number | No | `0.5` | Face detection sensitivity (0-1) |
## Example Request
```bash
curl -X POST http://localhost:1349/api/v1/tools/image/enhance-faces \
-F "file=@portrait.jpg" \
-F 'settings={"model":"codeformer","strength":0.7,"onlyCenterFace":false}'
```
## Response
### Initial Response (202 Accepted)
```json
{
"jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"async": true
}
```
### Progress (SSE at `/api/v1/jobs/{jobId}/progress`)
```
event: progress
data: {"phase":"processing","stage":"Enhancing faces...","percent":60}
```
### Final Result (via SSE)
```json
{
"phase": "complete",
"percent": 100,
"result": {
"jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"downloadUrl": "/api/v1/download/{jobId}/portrait_enhanced.png",
"previewUrl": "/api/v1/download/{jobId}/preview.webp",
"originalSize": 350000,
"processedSize": 600000,
"facesDetected": 2,
"faces": [
{"x": 120, "y": 80, "w": 100, "h": 100},
{"x": 350, "y": 90, "w": 95, "h": 95}
],
"model": "codeformer"
}
}
```
## Notes
- Requires the `upscale-enhance` model bundle to be installed (4-5 GB).
- GFPGAN produces more aggressive enhancement; CodeFormer better preserves identity. `auto` selects the best model for the input.
- Output is always PNG format for maximum quality.
- A WebP preview is generated alongside the full-resolution output for faster frontend display.
- The `strength` parameter blends the enhanced face with the original. Use lower values (0.3-0.5) for subtle improvements, higher values (0.7-1.0) for stronger restoration.
- Supports HEIC/HEIF, RAW, TGA, PSD, EXR, and HDR input formats via automatic decoding.