diff --git a/web/packages/new/photos/services/ml/clip.ts b/web/packages/new/photos/services/ml/clip.ts
index 9679cbe615..4c4d61456b 100644
--- a/web/packages/new/photos/services/ml/clip.ts
+++ b/web/packages/new/photos/services/ml/clip.ts
@@ -129,7 +129,7 @@ const convertToCLIPInput = (imageData: ImageData) => {
     const scale = Math.max(requiredWidth / width, requiredHeight / height);
 
     // Perform antialiasing if downscaling.
-    const shouldAntiAlias = scale < 0.8;
+    const antiAlias = scale < 0.8;
 
     const scaledWidth = Math.round(width * scale);
     const scaledHeight = Math.round(height * scale);
@@ -150,7 +150,7 @@ const convertToCLIPInput = (imageData: ImageData) => {
                 pixelData,
                 width,
                 height,
-                shouldAntiAlias,
+                antiAlias,
             );
             clipInput[pi] = r / 255.0;
             clipInput[pi + cOffsetG] = g / 255.0;
diff --git a/web/packages/new/photos/services/ml/image.ts b/web/packages/new/photos/services/ml/image.ts
index fbac2a154d..376474e407 100644
--- a/web/packages/new/photos/services/ml/image.ts
+++ b/web/packages/new/photos/services/ml/image.ts
@@ -321,7 +321,10 @@ const gaussianKernelRadius = Math.floor(gaussianKernelSize / 2);
 const gaussianSigma = 10.0;
 
 const create2DGaussianKernel = (size: number, sigma: number): number[][] => {
-    const kernel = Array(size).map(() => Array(size).fill(0) as number[]);
+    const kernel = Array(size)
+        .fill(0)
+        .map(() => Array(size).fill(0) as number[]);
+
     let sum = 0.0;
     const center = Math.floor(size / 2);
 
@@ -337,7 +340,7 @@ const create2DGaussianKernel = (size: number, sigma: number): number[][] => {
         }
     }
 
-    // Normalize the kernel
+    // Normalize the kernel.
     for (let y = 0; y < size; y++) {
         for (let x = 0; x < size; x++) {
             kernel[y]![x]! /= sum;