diff --git a/web/apps/photos/src/components/ml/PeopleList.tsx b/web/apps/photos/src/components/ml/PeopleList.tsx
index 534df6499a..9e5620a5c8 100644
--- a/web/apps/photos/src/components/ml/PeopleList.tsx
+++ b/web/apps/photos/src/components/ml/PeopleList.tsx
@@ -167,10 +167,7 @@ const FaceCropImageView: React.FC<FaceCropImageViewProps> = ({
                 .legacyFaceCrop(faceID)
                 /*
             cachedOrNew("face-crops", cacheKey, async () => {
-                const user = await ensureLocalUser();
                 return machineLearningService.regenerateFaceCrop(
-                    user.token,
-                    user.id,
                     faceId,
                 );
             })*/
diff --git a/web/apps/photos/src/services/face/face.worker.ts b/web/apps/photos/src/services/face/face.worker.ts
index 19e88acbfa..a12b7b543a 100644
--- a/web/apps/photos/src/services/face/face.worker.ts
+++ b/web/apps/photos/src/services/face/face.worker.ts
@@ -21,7 +21,7 @@ export class DedicatedMLWorker {
     }
 
     public async regenerateFaceCrop(token: string, faceID: string) {
-        return mlService.regenerateFaceCrop(token, faceID);
+        return mlService.regenerateFaceCrop(faceID);
     }
 }
 
diff --git a/web/apps/photos/src/services/machineLearning/machineLearningService.ts b/web/apps/photos/src/services/machineLearning/machineLearningService.ts
index be3c61ff3d..9f37398924 100644
--- a/web/apps/photos/src/services/machineLearning/machineLearningService.ts
+++ b/web/apps/photos/src/services/machineLearning/machineLearningService.ts
@@ -1,14 +1,12 @@
 import { haveWindow } from "@/next/env";
 import log from "@/next/log";
 import { ComlinkWorker } from "@/next/worker/comlink-worker";
-import { APPS } from "@ente/shared/apps/constants";
 import ComlinkCryptoWorker, {
     getDedicatedCryptoWorker,
 } from "@ente/shared/crypto";
 import { DedicatedCryptoWorker } from "@ente/shared/crypto/internal/crypto.worker";
 import { CustomError, parseUploadErrorCodes } from "@ente/shared/error";
 import PQueue from "p-queue";
-import downloadManager from "services/download";
 import { putEmbedding } from "services/embeddingService";
 import mlIDbStorage, { ML_SEARCH_CONFIG_NAME } from "services/face/db";
 import {
@@ -158,8 +156,6 @@ class MachineLearningService {
             throw Error("Token needed by ml service to sync file");
         }
 
-        await downloadManager.init(APPS.PHOTOS, { token });
-
         const syncContext = await this.getSyncContext(token, userID);
 
         await this.syncLocalFiles(syncContext);
@@ -194,8 +190,7 @@ class MachineLearningService {
         return mlSyncResult;
     }
 
-    public async regenerateFaceCrop(token: string, faceID: string) {
-        await downloadManager.init(APPS.PHOTOS, { token });
+    public async regenerateFaceCrop(faceID: string) {
         return regenerateFaceCrop(faceID);
     }