Update xformers SD3 test (#8712)

update

tests/models/test_modeling_common.py

@@ -382,6 +382,10 @@ class ModelTesterMixin:
             # If not has `set_attn_processor`, skip test
             return
 
+        if not hasattr(model, "set_default_attn_processor"):
+            # If not has `set_attn_processor`, skip test
+            return
+
         model.set_default_attn_processor()
         assert all(type(proc) == AttnProcessor for proc in model.attn_processors.values())
         with torch.no_grad():

tests/pipelines/controlnet_sd3/test_controlnet_sd3.py

@@ -190,6 +190,10 @@ class StableDiffusion3ControlNetPipelineFastTests(unittest.TestCase, PipelineTes
             np.abs(image_slice.flatten() - expected_slice).max() < 1e-2
         ), f"Expected: {expected_slice}, got: {image_slice.flatten()}"
 
+    @unittest.skip("xFormersAttnProcessor does not work with SD3 Joint Attention")
+    def test_xformers_attention_forwardGenerator_pass(self):
+        pass
+
 
 @slow
 @require_torch_gpu