fix(photomaker extra): pin insightface for import resolution (MIT code only)

The upstream PhotoMaker package's `__init__.py` unconditionally imports a face-analyser class from its `insightface_package` submodule, so JUST importing `PhotoMakerStableDiffusionXLPipeline` (the V1 pipeline class we use) raises `ModuleNotFoundError: No module named 'insightface'` if insightface isn't present in the env. The Modal cert sweep caught this on the V1 image. Resolution: pin `insightface>=0.7.3` (and its `onnxruntime` runtime dep) in the `photomaker` extra. The PyPI insightface package is MIT-licensed CODE; the non-commercial restriction sits on the pretrained model packs (antelopev2, buffalo_l) which download only when `FaceAnalysis()` is instantiated. Our V1 path never instantiates the face-analyser -- it loads photomaker-v1.bin (CLIP-only encoder) via `load_photomaker_adapter` -- so the model-pack license does not bind us; we depend only on the MIT code for the import to resolve. Safety guards: - Runtime check in `_get_pipeline`: raises if `_PHOTOMAKER_FILE` is ever pointed at v2 (so a future maintainer can't silently regress to the InsightFace path). - New test class `TestV1OnlyCommercialSafetyGuard`: asserts repo + filename pin to V1 AND asserts the module source never references the face-analyser class (a static check that our codepath stays out of the runtime that would pull the non-commercial model packs). Docs: documented the import dance + legal split inline at the top of `photomaker_restore.py`. ruff clean; 581 tests pass (the 9 PhotoMaker tests plus 3 new V1-guard tests). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-10 12:53:56 +02:00 · 2026-06-08 16:13:20 -07:00
parent dfa5181309
commit 860bde4a26
4 changed files with 632 additions and 14 deletions
@@ -92,9 +92,22 @@ photomaker = [
    "photomaker @ git+https://github.com/TencentARC/PhotoMaker.git",
    "huggingface-hub>=0.20.0",
    # Upstream PhotoMaker imports `einops` but doesn't declare it in its install_requires
-    # (verified 2026-06-04: cert sweep failed with "No module named 'einops'"). Pin it
-    # here so the extra is self-contained.
+    # (verified 2026-06-04: cert sweep failed with "No module named 'einops'").
    "einops>=0.7.0",
+    # `insightface` is the upstream PyPI package's CODE (MIT). PhotoMaker's package
+    # __init__.py unconditionally `from .insightface_package import FaceAnalysis2`,
+    # so just IMPORTING the V1 pipeline class requires `insightface` to be importable
+    # -- we never actually call `FaceAnalysis()` (which is what would trigger the
+    # non-commercial model-pack download), so the legal status of the *models* does
+    # not bind us. The code itself is MIT. See `photomaker_restore.py` for the V1-only
+    # call path. Without this dep the cert sweep fails with
+    # "No module named 'insightface'" (caught empirically 2026-06-04).
+    "insightface>=0.7.3",
+    # `insightface` pulls onnxruntime as a runtime dep for the FaceAnalysis class. We
+    # never instantiate that class, but the import has to resolve, so we pin it
+    # explicitly (already pinned by the `lama` extra; pinned here too so this extra is
+    # self-contained without depending on `lama`).
+    "onnxruntime>=1.16.0",
 ]
 # Optional pre-diffusion super-resolution for small inputs (Real-ESRGAN). Loaded via
 # spandrel (MIT) -- a pure model-loader with NO basicsr dependency (it pulls only
@@ -46,6 +46,22 @@ Commercial-safe end-to-end:
 Requires the optional ``photomaker`` extra: ``pip install
 'remove-ai-watermarks[photomaker]'`` (pulls torch / diffusers / the upstream PhotoMaker
 package, all commercial-safe). Weights download on first use; never bundled.
+
+**Why the extra includes ``insightface`` even though we use V1.** The upstream
+PhotoMaker package's ``__init__.py`` unconditionally imports its face-analyser
+wrapper (an InsightFace subclass), so JUST importing the V1 pipeline class needs
+``insightface`` to be importable -- otherwise the import errors with
+``ModuleNotFoundError: No module named 'insightface'`` (caught empirically by the
+Modal cert sweep 2026-06-04). The PyPI ``insightface`` package itself is MIT-licensed
+CODE; the non-commercial restriction is on the pretrained MODEL packs (antelopev2,
+buffalo_l), which only download when the face-analyser class is INSTANTIATED. **We
+never instantiate it** -- our V1 path uses
+``PhotoMakerStableDiffusionXLPipeline.load_photomaker_adapter`` which loads
+photomaker-v1.bin (the OpenCLIP-only encoder) and never touches the InsightFace face
+analyser. So the legal status of the InsightFace model packs does not bind us; this
+module only depends on the MIT-licensed CODE for the import to resolve. A test
+(``tests/test_photomaker_restore.py::TestV1OnlyCommercialSafetyGuard``) asserts that
+this module never references the face-analyser class.
 """

 # cv2/torch/diffusers boundary: relax unknown-type rules for this file only.
@@ -123,6 +139,16 @@ def _get_pipeline() -> Any:
            dtype = torch.float16 if device == "cuda" else torch.float32
            logger.info("photomaker_restore: loading SDXL+PhotoMaker on %s (%s)", device, dtype)

+            # Belt-and-suspenders: V1 file name. If a future maintainer points
+            # _PHOTOMAKER_FILE at v2, this stops the build so we don't silently regress
+            # to the non-commercial InsightFace path.
+            if _PHOTOMAKER_FILE != "photomaker-v1.bin":
+                raise RuntimeError(
+                    f"PhotoMaker V1 is the only commercial-safe variant; got "
+                    f"{_PHOTOMAKER_FILE!r}. V2 requires the non-commercial InsightFace "
+                    "antelopev2/buffalo_l face packs "
+                    "(see docs/synthid-robust-identity-research.md)."
+                )
            adapter_path = hf_hub_download(repo_id=_PHOTOMAKER_REPO, filename=_PHOTOMAKER_FILE)
            pipe = PhotoMakerStableDiffusionXLPipeline.from_pretrained(_SDXL_MODEL_ID, torch_dtype=dtype)
            pipe.load_photomaker_adapter(
@@ -25,6 +25,28 @@ class TestIsAvailable:
        assert isinstance(photomaker_restore.is_available(), bool)


+class TestV1OnlyCommercialSafetyGuard:
+    """The module must lock to PhotoMaker-V1 (Apache + CLIP-only encoder).
+
+    V2 pulls InsightFace antelopev2/buffalo_l face packs which are non-commercial.
+    A maintainer touching ``_PHOTOMAKER_FILE`` for any reason must trip this guard.
+    """
+
+    def test_repo_is_v1(self):
+        assert photomaker_restore._PHOTOMAKER_REPO == "TencentARC/PhotoMaker"
+
+    def test_weight_filename_is_v1(self):
+        assert photomaker_restore._PHOTOMAKER_FILE == "photomaker-v1.bin"
+
+    def test_module_source_does_not_call_face_analysis(self):
+        """We may IMPORT `insightface` (transitive) but must never instantiate FaceAnalysis."""
+        import inspect
+
+        src = inspect.getsource(photomaker_restore)
+        assert "FaceAnalysis" not in src
+        assert "insightface.app" not in src
+
+
 class TestFaceCropSquare:
    def test_centers_on_face_box(self):
        img = np.full((400, 400, 3), 128, dtype=np.uint8)
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+    "python_full_version >= '3.13' and platform_machine == 's390x' and sys_platform == 'darwin'",
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 version = "1.24.3"
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+    "python_full_version >= '3.13' and platform_machine == 's390x' and sys_platform == 'darwin'",
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+    "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'linux'",
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+    "python_full_version >= '3.13' and platform_machine == 's390x' and sys_platform == 'darwin'",
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+    "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
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@@ -2290,6 +2535,9 @@ lama = [
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    { name = "huggingface-hub" },
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