updates

Author: sayakpaul

tests/pipelines/controlnet/test_controlnet.py

@@ -282,6 +282,10 @@ def test_controlnet_lcm_custom_timesteps(self):
 
         assert np.abs(image_slice.flatten() - expected_slice).max() < 1e-2
 
+    @unittest.skip("Test not supported.")
+    def test_save_load_dduf(self):
+        pass
+
 
 class StableDiffusionMultiControlNetPipelineFastTests(
     IPAdapterTesterMixin, PipelineTesterMixin, PipelineKarrasSchedulerTesterMixin, unittest.TestCase
@@ -514,6 +518,10 @@ def test_inference_multiple_prompt_input(self):
 
         assert image.shape == (4, 64, 64, 3)
 
+    @unittest.skip("Test not supported.")
+    def test_save_load_dduf(self):
+        pass
+
 
 class StableDiffusionMultiControlNetOneModelPipelineFastTests(
     IPAdapterTesterMixin, PipelineTesterMixin, PipelineKarrasSchedulerTesterMixin, unittest.TestCase
@@ -697,6 +705,10 @@ def test_save_pretrained_raise_not_implemented_exception(self):
             except NotImplementedError:
                 pass
 
+    @unittest.skip("Test not supported.")
+    def test_save_load_dduf(self):
+        pass
+
 
 @slow
 @require_torch_gpu

tests/pipelines/controlnet/test_controlnet_blip_diffusion.py

@@ -220,3 +220,7 @@ def test_blipdiffusion_controlnet(self):
         assert (
             np.abs(image_slice.flatten() - expected_slice).max() < 1e-2
         ), f" expected_slice {expected_slice}, but got {image_slice.flatten()}"
+
+    @unittest.skip("Test not supported.")
+    def test_save_load_dduf(self):
+        pass

tests/pipelines/controlnet/test_controlnet_img2img.py

@@ -189,6 +189,10 @@ def test_xformers_attention_forwardGenerator_pass(self):
     def test_inference_batch_single_identical(self):
         self._test_inference_batch_single_identical(expected_max_diff=2e-3)
 
+    @unittest.skip("Test not supported.")
+    def test_save_load_dduf(self):
+        pass
+
 
 class StableDiffusionMultiControlNetPipelineFastTests(
     IPAdapterTesterMixin, PipelineTesterMixin, PipelineKarrasSchedulerTesterMixin, unittest.TestCase
@@ -389,6 +393,10 @@ def test_save_pretrained_raise_not_implemented_exception(self):
             except NotImplementedError:
                 pass
 
+    @unittest.skip("Test not supported.")
+    def test_save_load_dduf(self):
+        pass
+
 
 @slow
 @require_torch_gpu

tests/pipelines/controlnet/test_controlnet_inpaint.py

@@ -441,6 +441,10 @@ def test_save_pretrained_raise_not_implemented_exception(self):
             except NotImplementedError:
                 pass
 
+    @unittest.skip("Test not supported.")
+    def test_save_load_dduf(self):
+        pass
+
 
 @slow
 @require_torch_gpu

tests/pipelines/controlnet/test_controlnet_inpaint_sdxl.py

@@ -352,3 +352,7 @@ def test_save_load_optional_components(self):
 
     def test_float16_inference(self):
         super().test_float16_inference(expected_max_diff=5e-1)
+
+    @unittest.skip("Test not supported.")
+    def test_save_load_dduf(self):
+        pass

tests/pipelines/controlnet/test_controlnet_sdxl.py

@@ -478,6 +478,10 @@ def new_step(self, *args, **kwargs):
             ]:
                 assert_run_mixture(steps, split, scheduler_cls_timesteps[0], scheduler_cls_timesteps[1])
 
+    @unittest.skip("Test not supported.")
+    def test_save_load_dduf(self):
+        pass
+
 
 class StableDiffusionXLMultiControlNetPipelineFastTests(
     PipelineTesterMixin, PipelineKarrasSchedulerTesterMixin, SDXLOptionalComponentsTesterMixin, unittest.TestCase
@@ -683,6 +687,10 @@ def test_inference_batch_single_identical(self):
     def test_save_load_optional_components(self):
         return self._test_save_load_optional_components()
 
+    @unittest.skip("Test not supported.")
+    def test_save_load_dduf(self):
+        pass
+
 
 class StableDiffusionXLMultiControlNetOneModelPipelineFastTests(
     PipelineKarrasSchedulerTesterMixin, PipelineTesterMixin, SDXLOptionalComponentsTesterMixin, unittest.TestCase
@@ -887,6 +895,10 @@ def test_negative_conditions(self):
 
         self.assertTrue(np.abs(image_slice_without_neg_cond - image_slice_with_neg_cond).max() > 1e-2)
 
+    @unittest.skip("Test not supported.")
+    def test_save_load_dduf(self):
+        pass
+
 
 @slow
 @require_torch_gpu

tests/pipelines/controlnet/test_controlnet_sdxl_img2img.py

@@ -361,3 +361,7 @@ def test_stable_diffusion_xl_prompt_embeds(self):
 
         # make sure that it's equal
         assert np.abs(image_slice_1.flatten() - image_slice_2.flatten()).max() < 1e-4
+
+    @unittest.skip("Test not supported.")
+    def test_save_load_dduf(self):
+        pass