diff --git a/python/lsst/ip/diffim/psfMatch.py b/python/lsst/ip/diffim/psfMatch.py
index 0cf2921af..96ccb33bb 100644
--- a/python/lsst/ip/diffim/psfMatch.py
+++ b/python/lsst/ip/diffim/psfMatch.py
@@ -42,6 +42,8 @@ class NoKernelCandidatesError(pipeBase.AlgorithmError):
     """Raised if there are too few candidates to compute the PSF matching
     kernel.
     """
+
+    @property
     def metadata(self) -> dict:
         return {}
 
@@ -865,7 +867,7 @@ def _solve(self, kernelCellSet, basisList):
                     allCellsEmpty = False
                     break
             if allCellsEmpty:
-                raise NoKernelCandidatesError("All spatial cells are emtpy of candidates")
+                raise NoKernelCandidatesError("All spatial cells are empty of candidates")
 
             try:
                 ksv.processKsumDistribution()
diff --git a/python/lsst/ip/diffim/subtractImages.py b/python/lsst/ip/diffim/subtractImages.py
index 3e4ad6e9b..073bb78c6 100644
--- a/python/lsst/ip/diffim/subtractImages.py
+++ b/python/lsst/ip/diffim/subtractImages.py
@@ -402,6 +402,18 @@ def _applyExternalCalibrations(self, exposure, visitSummary):
 
         return exposure
 
+    def runQuantum(self, butlerQC, inputRefs, outputRefs):
+        inputs = butlerQC.get(inputRefs)
+
+        try:
+            results = self.run(**inputs)
+        except lsst.pipe.base.AlgorithmError as e:
+            error = lsst.pipe.base.AnnotatedPartialOutputsError.annotate(e, self, log=self.log)
+            # No partial outputs for butler to put
+            raise error from e
+
+        butlerQC.put(results, outputRefs)
+
     @timeMethod
     def run(self, template, science, sources, visitSummary=None):
         """PSF match, subtract, and decorrelate two images.