diff --git a/test/landscape.jpg b/test/landscape.jpg
new file mode 100644
index 0000000..ca1f30f
Binary files /dev/null and b/test/landscape.jpg differ
diff --git a/test/man.jpg b/test/man.jpg
new file mode 100644
index 0000000..7848ac6
Binary files /dev/null and b/test/man.jpg differ
diff --git a/test/v2.test.ts b/test/v2.test.ts
index 5935414..5bb79ef 100644
--- a/test/v2.test.ts
+++ b/test/v2.test.ts
@@ -1,5 +1,5 @@
-import { assertEquals } from "jsr:@std/assert";
-import { createProdia } from "../v2/index.ts";
+import { assert, assertEquals } from "jsr:@std/assert";
+import { createProdia, ProdiaUserError } from "../v2/index.ts";
 
 const token = Deno.env.get("PRODIA_TOKEN");
 
@@ -32,3 +32,44 @@ await Deno.test("Example Job: JPEG Output", async () => {
 
 	assertEquals(isJpeg(image), true, "Image should be a JPEG");
 });
+
+await Deno.test("Example Job: Bad Face Swap", async () => {
+	const client = createProdia({
+		token,
+	});
+
+	try {
+		const job = await client.job(
+			{
+				type: "inference.faceswap.v1",
+				config: {},
+			},
+			{
+				inputs: [
+					new Blob([await Deno.readFile("./test/landscape.jpg")], {
+						type: "image/jpeg",
+					}),
+					new Blob([await Deno.readFile("./test/man.jpg")], {
+						type: "image/jpeg",
+					}),
+				],
+			},
+		);
+
+		const image = await job.arrayBuffer();
+
+		assertEquals(isJpeg(image), true, "Image should be a JPEG");
+
+		throw new Error("FaceSwap should fail");
+	} catch (error) {
+		assert(
+			error instanceof ProdiaUserError,
+			`Error should be a ProdiaUserError, got ${error}`,
+		);
+		assertEquals(
+			error.message,
+			"No face detected in the source image.",
+			"Error message should be 'No face detected in the source image.'",
+		);
+	}
+});
diff --git a/v2/index.ts b/v2/index.ts
index 1ab5393..1a2ca91 100644
--- a/v2/index.ts
+++ b/v2/index.ts
@@ -162,28 +162,42 @@ export const createProdia = ({
 			retries <= maxRetries
 		);
 
+		if (response.headers.get("Content-Type") === "application/json") {
+			const body = await response.json() as ProdiaJob;
+
+			if ("error" in body && typeof body.error === "string") {
+				throw new ProdiaUserError(body.error);
+			} else {
+				throw new ProdiaBadResponseError(
+					`${response.status} ${response.statusText}`,
+				);
+			}
+		}
+
 		if (response.status === 429) {
 			throw new ProdiaCapacityError(
 				"Unable to schedule the job with current token.",
 			);
 		}
 
+		if (response.status < 200 || response.status > 299) {
+			throw new ProdiaBadResponseError(
+				`${response.status} ${response.statusText}`,
+			);
+		}
+
 		const body = await response.formData();
+
 		const job = JSON.parse(
 			new TextDecoder().decode(
 				await (body.get("job") as Blob).arrayBuffer(),
 			),
 		) as ProdiaJob;
+
 		if ("error" in job && typeof job.error === "string") {
 			throw new ProdiaUserError(job.error);
 		}
 
-		if (response.status < 200 || response.status > 299) {
-			throw new ProdiaBadResponseError(
-				`${response.status} ${response.statusText}`,
-			);
-		}
-
 		const buffer = await new Promise<ArrayBuffer>((resolve, reject) => {
 			const output = body.get("output") as File;
 			const reader = new FileReader();