fix tests

Author: patil-suraj

tests/pipelines/stable_diffusion_xl/test_stable_diffusion_xl_adapter.py

@@ -591,6 +591,29 @@ def test_inference_batch_single_identical(
         if test_mean_pixel_difference:
             assert_mean_pixel_difference(output_batch[0][0], output[0][0])
 
+    def test_adapter_sdxl_lcm(self):
+        device = "cpu"  # ensure determinism for the device-dependent torch.Generator
+
+        components = self.get_dummy_components(time_cond_proj_dim=256)
+        sd_pipe = StableDiffusionXLAdapterPipeline(**components)
+        sd_pipe.scheduler = LCMScheduler.from_config(sd_pipe.scheduler.config)
+        sd_pipe = sd_pipe.to(torch_device)
+        sd_pipe.set_progress_bar_config(disable=None)
+
+        inputs = self.get_dummy_inputs(device)
+        output = sd_pipe(**inputs)
+        image = output.images
+
+        image_slice = image[0, -3:, -3:, -1]
+
+        assert image.shape == (1, 64, 64, 3)
+        expected_slice = np.array([0.5313, 0.5375, 0.4942, 0.5021, 0.6142, 0.4968, 0.5434, 0.5311, 0.5448])
+
+        debug = [str(round(i, 4)) for i in image_slice.flatten().tolist()]
+        print(",".join(debug))
+
+        assert np.abs(image_slice.flatten() - expected_slice).max() < 1e-2
+
 
 @slow
 @require_torch_gpu