@@ -1693,9 +1693,9 @@ def test_ddpm_ddim_equality_batched(self):
16931693 ddpm_images = ddpm (batch_size = 4 , generator = generator , output_type = "numpy" ).images
16941694
16951695 generator = torch .manual_seed (0 )
1696- ddim_images = ddim (batch_size = 4 , generator = generator , num_inference_steps = 1000 , eta = 1.0 , output_type = "numpy" )[
1697- "sample "
1698- ]
1696+ ddim_images = ddim (
1697+ batch_size = 4 , generator = generator , num_inference_steps = 1000 , eta = 1.0 , output_type = "numpy "
1698+ ). images
16991699
17001700 # the values aren't exactly equal, but the images look the same visually
17011701 assert np .abs (ddpm_images - ddim_images ).max () < 1e-1
@@ -1729,9 +1729,9 @@ def test_lms_stable_diffusion_pipeline(self):
17291729
17301730 prompt = "a photograph of an astronaut riding a horse"
17311731 generator = torch .Generator (device = torch_device ).manual_seed (0 )
1732- image = pipe ([ prompt ], generator = generator , guidance_scale = 7.5 , num_inference_steps = 10 , output_type = "numpy" )[
1733- "sample "
1734- ]
1732+ image = pipe (
1733+ [ prompt ], generator = generator , guidance_scale = 7.5 , num_inference_steps = 10 , output_type = "numpy "
1734+ ). images
17351735
17361736 image_slice = image [0 , - 3 :, - 3 :, - 1 ]
17371737 assert image .shape == (1 , 512 , 512 , 3 )
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