diff --git a/tests/test_pipelines_flax.py b/tests/test_pipelines_flax.py
index da02930c1c56..294dad5ff0f1 100644
--- a/tests/test_pipelines_flax.py
+++ b/tests/test_pipelines_flax.py
@@ -78,11 +78,10 @@ def test_dummy_all_tpus(self):
 
         assert images.shape == (num_samples, 1, 64, 64, 3)
         if jax.device_count() == 8:
-            assert np.abs(np.abs(images[0, 0, :2, :2, -2:], dtype=np.float32).sum() - 3.1111548) < 1e-3
-            assert np.abs(np.abs(images, dtype=np.float32).sum() - 199746.95) < 5e-1
+            assert np.abs(np.abs(images[0, 0, :2, :2, -2:], dtype=np.float32).sum() - 4.1514745) < 1e-3
+            assert np.abs(np.abs(images, dtype=np.float32).sum() - 49947.875) < 5e-1
 
         images_pil = pipeline.numpy_to_pil(np.asarray(images.reshape((num_samples,) + images.shape[-3:])))
-
         assert len(images_pil) == num_samples
 
     def test_stable_diffusion_v1_4(self):
@@ -140,8 +139,8 @@ def test_stable_diffusion_v1_4_bfloat_16(self):
 
         assert images.shape == (num_samples, 1, 512, 512, 3)
         if jax.device_count() == 8:
-            assert np.abs((np.abs(images[0, 0, :2, :2, -2:], dtype=np.float32).sum() - 0.06652832)) < 1e-3
-            assert np.abs((np.abs(images, dtype=np.float32).sum() - 2384849.8)) < 5e-1
+            assert np.abs((np.abs(images[0, 0, :2, :2, -2:], dtype=np.float32).sum() - 0.04003906)) < 1e-3
+            assert np.abs((np.abs(images, dtype=np.float32).sum() - 2373516.75)) < 5e-1
 
     def test_stable_diffusion_v1_4_bfloat_16_with_safety(self):
         pipeline, params = FlaxStableDiffusionPipeline.from_pretrained(
@@ -169,8 +168,8 @@ def test_stable_diffusion_v1_4_bfloat_16_with_safety(self):
 
         assert images.shape == (num_samples, 1, 512, 512, 3)
         if jax.device_count() == 8:
-            assert np.abs((np.abs(images[0, 0, :2, :2, -2:], dtype=np.float32).sum() - 0.06652832)) < 1e-3
-            assert np.abs((np.abs(images, dtype=np.float32).sum() - 2384849.8)) < 5e-1
+            assert np.abs((np.abs(images[0, 0, :2, :2, -2:], dtype=np.float32).sum() - 0.04003906)) < 1e-3
+            assert np.abs((np.abs(images, dtype=np.float32).sum() - 2373516.75)) < 5e-1
 
     def test_stable_diffusion_v1_4_bfloat_16_ddim(self):
         scheduler = FlaxDDIMScheduler(