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* 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