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docs: sync api documentation
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@@ -12,7 +12,7 @@ Restore and enhance faces in images using AI models (GFPGAN/CodeFormer).
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**Processing:** Asynchronous (returns 202, poll `/api/v1/jobs/{jobId}/progress` for status via SSE)
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**Model bundle:** `upscale-enhance` (4-5 GB)
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**Model bundles:** `upscale-enhance` (5-6 GB) and `face-detection` (200-300 MB)
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## Parameters
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@@ -74,7 +74,7 @@ data: {"phase":"processing","stage":"Enhancing faces...","percent":60}
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## Notes
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- Requires the `upscale-enhance` model bundle to be installed (4-5 GB).
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- Requires both the `upscale-enhance` model bundle (5-6 GB) and the `face-detection` model bundle (200-300 MB).
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- GFPGAN produces more aggressive enhancement; CodeFormer better preserves identity. `auto` selects the best model for the input.
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- Output is always PNG format for maximum quality.
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- A WebP preview is generated alongside the full-resolution output for faster frontend display.
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