fix: offline CodeFormer face-enhance (ship RealESRGAN_x2plus in upscale-enhance bundle) (#433)

* fix: ship RealESRGAN_x2plus.pth in the upscale-enhance bundle for offline CodeFormer

codeformer-pip 0.0.4 downloads RealESRGAN_x2plus.pth at import of
codeformer.app, unconditionally, even though enhance_faces calls
inference_app with background_enhance=False and never uses the background
upsampler. The weight was not bundled, so explicit CodeFormer face-enhance
(enhance-faces model=codeformer) failed in strict offline mode
(SNAPOTTER_ALLOW_MODEL_DOWNLOAD=0) on a host that had never cached it -- the
guard raised before the import could complete.

Add RealESRGAN_x2plus.pth to the upscale-enhance bundle manifest (only that
bundle uses codeformer-pip; photo-restoration uses the CodeFormer ONNX path)
and link it in prepare_codeformer_weights alongside the other three weights,
replacing the download-or-error guard. Once the bundle ships it, the import
resolves offline and strict mode works.

Archive SHA256s updated in a follow-up once the bundle is rebuilt.

Claude-Session: https://claude.ai/code/session_01XGB4pGvTvb7sUX4JN745U7

* fix: require face-detection bundle for enhance-faces + point manifest at the x2plus archives

enhance-faces runs MediaPipe face detection (blaze_face_short_range.tflite)
before CodeFormer/GFPGAN. That model ships in the face-detection bundle, not
the tool's primary upscale-enhance bundle, so a standalone upscale-enhance
install failed face detection (offline: hard error; online: a surprise
download) before reaching the codeformer path. Declare the dependency in
TOOL_EXTRA_BUNDLES like passport-photo does.

Update the upscale-enhance archive SHA256/sizes to the rebuilt bundles that
include RealESRGAN_x2plus.pth (amd64-gpu + arm64-cpu), verified to install and
run enhance-faces model=codeformer in strict offline mode with zero downloads.

Claude-Session: https://claude.ai/code/session_01XGB4pGvTvb7sUX4JN745U7

docker/feature-manifest.json

@@ -194,15 +194,15 @@
       "archives": {
         "amd64-gpu": {
           "file": "v2.0.0/upscale-enhance-amd64-gpu.tar.gz",
-          "sha256": "37f0e7a62dcb83b2dc0760532fb41ac9d1c40d336abe1aea01d889ad039ebc65",
-          "compressedSize": 5314188723,
-          "extractedSize": 8412712960
+          "sha256": "089fdecbcd36090013ed4adf3a96650c757ce06871c2e1f1b155ccdd8487e413",
+          "compressedSize": 5376987856,
+          "extractedSize": 8455327174
         },
         "arm64-cpu": {
           "file": "v2.0.0/upscale-enhance-arm64-cpu.tar.gz",
-          "sha256": "de65321f1cc5d5664c63e38e49cd39c36fe88e0569d666821e982ff6d6999bea",
-          "compressedSize": 2262502457,
-          "extractedSize": 0
+          "sha256": "b9e948c8308371ccb3defce4323a85884e46d5bde52791115d34d1c1f92e4f23",
+          "compressedSize": 2335658971,
+          "extractedSize": 3661453942
         }
       },
       "packages": {
@@ -234,6 +234,12 @@
           "path": "realesrgan/RealESRGAN_x4plus.pth",
           "minSize": 60000000
         },
+        {
+          "id": "realesrgan-x2plus",
+          "url": "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.1/RealESRGAN_x2plus.pth",
+          "path": "realesrgan/RealESRGAN_x2plus.pth",
+          "minSize": 60000000
+        },
         {
           "id": "gfpgan-v1.3",
           "url": "https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth",