fix condition argument in xfail.

Author: sayakpaul

src/diffusers/__init__.py

@@ -338,8 +338,8 @@
             "StableDiffusion3ControlNetPipeline",
             "StableDiffusion3Img2ImgPipeline",
             "StableDiffusion3InpaintPipeline",
-            "StableDiffusion3PAGPipeline",
             "StableDiffusion3PAGImg2ImgPipeline",
+            "StableDiffusion3PAGPipeline",
             "StableDiffusion3Pipeline",
             "StableDiffusionAdapterPipeline",
             "StableDiffusionAttendAndExcitePipeline",

tests/lora/test_lora_layers_cogvideox.py

@@ -129,7 +129,7 @@ def get_dummy_inputs(self, with_generator=True):
 
     @skip_mps
     @pytest.mark.xfail(
-        condtion=torch.device(torch_device).type == "cpu" and is_torch_version(">=", "2.5"),
+        condition=torch.device(torch_device).type == "cpu" and is_torch_version(">=", "2.5"),
         reason="Test currently fails on CPU and PyTorch 2.5.1 but not on PyTorch 2.4.1.",
         strict=True,
     )

tests/lora/test_lora_layers_mochi.py

@@ -108,7 +108,7 @@ def get_dummy_inputs(self, with_generator=True):
         return noise, input_ids, pipeline_inputs
 
     @pytest.mark.xfail(
-        condtion=torch.device(torch_device).type == "cpu" and is_torch_version(">=", "2.5"),
+        condition=torch.device(torch_device).type == "cpu" and is_torch_version(">=", "2.5"),
         reason="Test currently fails on CPU and PyTorch 2.5.1 but not on PyTorch 2.4.1.",
         strict=True,
     )

tests/lora/utils.py

@@ -1513,7 +1513,7 @@ def test_simple_inference_with_text_denoiser_multi_adapter_weighted(self):
 
     @skip_mps
     @pytest.mark.xfail(
-        condtion=torch.device(torch_device).type == "cpu" and is_torch_version(">=", "2.5"),
+        condition=torch.device(torch_device).type == "cpu" and is_torch_version(">=", "2.5"),
         reason="Test currently fails on CPU and PyTorch 2.5.1 but not on PyTorch 2.4.1.",
         strict=True,
     )