@@ -235,8 +235,7 @@ def test_text_to_image_full_face(self):
235235 inputs = self .get_dummy_inputs ()
236236 images = pipeline (** inputs ).images
237237 image_slice = images [0 , :3 , :3 , - 1 ].flatten ()
238-
239- expected_slice = np .array ([0.1958 , 0.1475 , 0.1396 , 0.2412 , 0.1658 , 0.1533 , 0.3997 , 0.4055 , 0.4128 ])
238+ expected_slice = np .array ([0.1704 , 0.1296 , 0.1272 , 0.2212 , 0.1514 , 0.1479 , 0.4172 , 0.4263 , 0.4360 ])
240239
241240 max_diff = numpy_cosine_similarity_distance (image_slice , expected_slice )
242241 assert max_diff < 5e-4
@@ -276,9 +275,7 @@ def test_multi(self):
276275 inputs ["ip_adapter_image" ] = [ip_adapter_image , [ip_adapter_image ] * 2 ]
277276 images = pipeline (** inputs ).images
278277 image_slice = images [0 , :3 , :3 , - 1 ].flatten ()
279- expected_slice = np .array (
280- [0.5234375 , 0.53515625 , 0.5629883 , 0.57128906 , 0.59521484 , 0.62109375 , 0.57910156 , 0.6201172 , 0.6508789 ]
281- )
278+ expected_slice = np .array ([0.1704 , 0.1296 , 0.1272 , 0.2212 , 0.1514 , 0.1479 , 0.4172 , 0.4263 , 0.4360 ])
282279
283280 max_diff = numpy_cosine_similarity_distance (image_slice , expected_slice )
284281 assert max_diff < 5e-4
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