diff --git a/tests/integration/test_basic_conversion_1_5.py b/tests/integration/test_basic_conversion_1_5.py
new file mode 100644
index 0000000..6bcec37
--- /dev/null
+++ b/tests/integration/test_basic_conversion_1_5.py
@@ -0,0 +1,72 @@
+import json
+import os
+
+import pytest
+import requests
+from PIL import Image
+import numpy as np
+
+from folder_paths import get_save_image_path, get_output_directory
+
+IMAGE_PREFIX = "E2E-1.5-CoreML"
+
+
+class OutputImageRepository:
+    def __init__(self, name_prefix):
+        self.name_prefix = name_prefix
+
+    def list_images(self):
+        full_output_folder, _, _, _, _ = get_save_image_path(
+            self.name_prefix, get_output_directory(), 512, 512
+        )
+        return full_output_folder, os.listdir(full_output_folder)
+
+    def delete_images(self):
+        full_output_folder, images = self.list_images()
+        for image in images:
+            os.remove(os.path.join(full_output_folder, image))
+
+
+@pytest.fixture(scope="module")
+def output_image_repository():
+    repo = OutputImageRepository(IMAGE_PREFIX)
+    yield repo
+    repo.delete_images()
+
+
+def test_basic_conversion_1_5(output_image_repository):
+    with open("integration/workflows/e2e-1.5-basic-conversion.json") as f:
+        prompt = json.load(f)
+    queue_prompt(prompt)
+
+    full_output_folder, images = output_image_repository.list_images()
+    assert len(images) == 2
+    assert all(image.startswith(IMAGE_PREFIX) for image in images)
+    assert all(image.endswith(".png") for image in images)
+    assert all(
+        os.path.isfile(os.path.join(full_output_folder, image)) for image in images
+    )
+
+    image1 = Image.open(os.path.join(full_output_folder, images[0]))
+    image2 = Image.open(os.path.join(full_output_folder, images[1]))
+    assert psnr(np.array(image1), np.array(image2)) > 30
+    assert psnr(np.array(image2), np.array(image1)) > 30
+
+
+def psnr(img1, img2):
+    mse = np.mean((img1 - img2) ** 2)
+    if mse == 0:
+        return 100
+    PIXEL_MAX = 255.0
+    return 20 * np.log10(PIXEL_MAX / np.sqrt(mse))
+
+
+def queue_prompt(prompt: dict):
+    p = {"prompt": prompt}
+    data = json.dumps(p).encode("utf-8")
+    req = requests.post("http://localhost:8188/prompt", data=data)
+    assert req.status_code == 200
+    while True:
+        req = requests.get("http://localhost:8188/prompt")
+        if req.json()["exec_info"]["queue_remaining"] == 0:
+            break