diff --git a/.gitignore b/.gitignore
index cbd08ab6..36fd3ed7 100644
--- a/.gitignore
+++ b/.gitignore
@@ -24,3 +24,6 @@ tf_models/
 .DS_Store
 
 # In-Development Commands
+commands/edit-face/danny-devito.js
+commands/edit-face/emoji-face.js
+commands/edit-face/eyes.js
diff --git a/Xiao.js b/Xiao.js
index b65b71ce..a420a670 100644
--- a/Xiao.js
+++ b/Xiao.js
@@ -50,6 +50,7 @@ client.registry
 		['code', 'Programming'],
 		['games-sp', 'Single-Player Games'],
 		['games-mp', 'Multi-Player Games'],
+		['edit-face', 'Face Manipulation'],
 		['edit-image', 'Image Manipulation'],
 		['edit-image-text', 'Image Text Manipulation'],
 		['edit-avatar', 'Avatar Manipulation'],
diff --git a/commands/edit-face/anime-eyes.js b/commands/edit-face/anime-eyes.js
new file mode 100644
index 00000000..f2b667b8
--- /dev/null
+++ b/commands/edit-face/anime-eyes.js
@@ -0,0 +1,70 @@
+const Command = require('../../framework/Command');
+const request = require('node-superfetch');
+const { createCanvas, loadImage } = require('canvas');
+const tfnode = require('@tensorflow/tfjs-node');
+const faceDetection = require('@tensorflow-models/face-detection');
+const model = faceDetection.SupportedModels.MediaPipeFaceDetector;
+const path = require('path');
+
+module.exports = class AnimeEyesCommand extends Command {
+	constructor(client) {
+		super(client, {
+			name: 'anime-eyes',
+			aliases: ['ani-eyes', 'manga-eyes'],
+			group: 'edit-face',
+			memberName: 'anime-eyes',
+			description: 'Draws anime eyes onto the faces in an image.',
+			throttling: {
+				usages: 1,
+				duration: 60
+			},
+			args: [
+				{
+					key: 'image',
+					prompt: 'What face would you like to scan?',
+					type: 'image-or-avatar'
+				}
+			]
+		});
+
+		this.detector = null;
+	}
+
+	async run(msg, { image }) {
+		if (!this.detector) this.detector = await faceDetection.createDetector(model, { runtime: 'tfjs', maxFaces: 10 });
+		const leftEye = await loadImage(path.join(__dirname, '..', '..', 'assets', 'images', 'anime-eyes', 'left.png'));
+		const rightEye = await loadImage(path.join(__dirname, '..', '..', 'assets', 'images', 'anime-eyes', 'right.png'));
+		const imgData = await request.get(image);
+		try {
+			const faces = await this.detect(imgData);
+			if (!faces) return msg.reply('There are no faces in this image.');
+			if (faces === 'size') return msg.reply('This image is too large.');
+			const base = await loadImage(imgData.body);
+			const canvas = createCanvas(base.width, base.height);
+			const ctx = canvas.getContext('2d');
+			ctx.drawImage(base, 0, 0);
+			for (const face of faces) {
+				const faceWidth = face.box.width;
+				const faceHeight = face.box.height;
+				const leftEye = face.keypoints.find(landmark => landmark.name === 'leftEye');
+				ctx.drawImage(leftEye, leftEye.x, leftEye.y, faceWidth / 10, faceHeight / 10);
+				const rightEye = face.keypoints.find(landmark => landmark.name === 'rightEye');
+				ctx.drawImage(rightEye, rightEye.x, rightEye.y, faceWidth / 10, faceHeight / 10);
+			}
+			return msg.say({ files: [{ attachment: canvas.toBuffer(), name: 'anime-eyes.png' }] });
+		} catch (err) {
+			return msg.reply(`Oh no, an error occurred: \`${err.message}\`. Try again later!`);
+		}
+	}
+
+	async detect(imgData) {
+		if (Buffer.byteLength(imgData.body) >= 2e+6) return 'size';
+		tfnode.setBackend('tensorflow');
+		const image = tfnode.node.decodeImage(imgData);
+		tfnode.setBackend('cpu');
+		const faces = await detector.estimateFaces(image);
+		tfnode.setBackend('tensorflow');
+		if (!faces || !faces.length) return null;
+		return faces;
+	}
+};
diff --git a/package.json b/package.json
index efd9293b..51e92ec3 100644
--- a/package.json
+++ b/package.json
@@ -39,6 +39,7 @@
 		"@discordjs/opus": "^0.9.0",
 		"@discordjs/voice": "^0.16.1",
 		"@tensorflow/tfjs-node": "^4.17.0",
+		"@tensorflow-models/face-detection": "^1.0.2",
 		"@vitalets/google-translate-api": "^8.0.0",
 		"aki-api": "^6.0.9",
 		"bombsweeper.js": "^1.0.1",