Add VAE Decode endpoint slow test (#10946)

tests/remote/test_remote_decode.py

@@ -24,6 +24,7 @@ from diffusers.image_processor import VaeImageProcessor
 from diffusers.utils.remote_utils import remote_decode
 from diffusers.utils.testing_utils import (
     enable_full_determinism,
+    slow,
     torch_all_close,
     torch_device,
 )
@@ -32,6 +33,11 @@ from diffusers.video_processor import VideoProcessor
 
 enable_full_determinism()
 
+ENDPOINT_SD_V1 = "https://q1bj3bpq6kzilnsu.us-east-1.aws.endpoints.huggingface.cloud/"
+ENDPOINT_SD_XL = "https://x2dmsqunjd6k9prw.us-east-1.aws.endpoints.huggingface.cloud/"
+ENDPOINT_FLUX = "https://whhx50ex1aryqvw6.us-east-1.aws.endpoints.huggingface.cloud/"
+ENDPOINT_HUNYUAN_VIDEO = "https://o7ywnmrahorts457.us-east-1.aws.endpoints.huggingface.cloud/"
+
 
 class RemoteAutoencoderKLMixin:
     shape: Tuple[int, ...] = None
@@ -344,7 +350,7 @@ class RemoteAutoencoderKLSDv1Tests(
         512,
         512,
     )
-    endpoint = "https://q1bj3bpq6kzilnsu.us-east-1.aws.endpoints.huggingface.cloud/"
+    endpoint = ENDPOINT_SD_V1
     dtype = torch.float16
     scaling_factor = 0.18215
     shift_factor = None
@@ -368,7 +374,7 @@ class RemoteAutoencoderKLSDXLTests(
         1024,
         1024,
     )
-    endpoint = "https://x2dmsqunjd6k9prw.us-east-1.aws.endpoints.huggingface.cloud/"
+    endpoint = ENDPOINT_SD_XL
     dtype = torch.float16
     scaling_factor = 0.13025
     shift_factor = None
@@ -392,7 +398,7 @@ class RemoteAutoencoderKLFluxTests(
         1024,
         1024,
     )
-    endpoint = "https://whhx50ex1aryqvw6.us-east-1.aws.endpoints.huggingface.cloud/"
+    endpoint = ENDPOINT_FLUX
     dtype = torch.bfloat16
     scaling_factor = 0.3611
     shift_factor = 0.1159
@@ -419,7 +425,7 @@ class RemoteAutoencoderKLFluxPackedTests(
     )
     height = 1024
     width = 1024
-    endpoint = "https://whhx50ex1aryqvw6.us-east-1.aws.endpoints.huggingface.cloud/"
+    endpoint = ENDPOINT_FLUX
     dtype = torch.bfloat16
     scaling_factor = 0.3611
     shift_factor = 0.1159
@@ -447,7 +453,7 @@ class RemoteAutoencoderKLHunyuanVideoTests(
         320,
         512,
     )
-    endpoint = "https://o7ywnmrahorts457.us-east-1.aws.endpoints.huggingface.cloud/"
+    endpoint = ENDPOINT_HUNYUAN_VIDEO
     dtype = torch.float16
     scaling_factor = 0.476986
     processor_cls = VideoProcessor
@@ -456,3 +462,72 @@ class RemoteAutoencoderKLHunyuanVideoTests(
         [149, 161, 168, 136, 150, 156, 129, 143, 149], dtype=torch.uint8
     )
     return_pt_slice = torch.tensor([0.1656, 0.2661, 0.3157, 0.0693, 0.1755, 0.2252, 0.0127, 0.1221, 0.1708])
+
+
+class RemoteAutoencoderKLSlowTestMixin:
+    channels: int = 4
+    endpoint: str = None
+    dtype: torch.dtype = None
+    scaling_factor: float = None
+    shift_factor: float = None
+    width: int = None
+    height: int = None
+
+    def get_dummy_inputs(self):
+        inputs = {
+            "endpoint": self.endpoint,
+            "scaling_factor": self.scaling_factor,
+            "shift_factor": self.shift_factor,
+            "height": self.height,
+            "width": self.width,
+        }
+        return inputs
+
+    def test_multi_res(self):
+        inputs = self.get_dummy_inputs()
+        for height in {320, 512, 640, 704, 896, 1024, 1208, 1384, 1536, 1608, 1864, 2048}:
+            for width in {320, 512, 640, 704, 896, 1024, 1208, 1384, 1536, 1608, 1864, 2048}:
+                inputs["tensor"] = torch.randn(
+                    (1, self.channels, height // 8, width // 8),
+                    device=torch_device,
+                    dtype=self.dtype,
+                    generator=torch.Generator(torch_device).manual_seed(13),
+                )
+                inputs["height"] = height
+                inputs["width"] = width
+                output = remote_decode(output_type="pt", partial_postprocess=True, **inputs)
+                output.save(f"test_multi_res_{height}_{width}.png")
+
+
+@slow
+class RemoteAutoencoderKLSDv1SlowTests(
+    RemoteAutoencoderKLSlowTestMixin,
+    unittest.TestCase,
+):
+    endpoint = ENDPOINT_SD_V1
+    dtype = torch.float16
+    scaling_factor = 0.18215
+    shift_factor = None
+
+
+@slow
+class RemoteAutoencoderKLSDXLSlowTests(
+    RemoteAutoencoderKLSlowTestMixin,
+    unittest.TestCase,
+):
+    endpoint = ENDPOINT_SD_XL
+    dtype = torch.float16
+    scaling_factor = 0.13025
+    shift_factor = None
+
+
+@slow
+class RemoteAutoencoderKLFluxSlowTests(
+    RemoteAutoencoderKLSlowTestMixin,
+    unittest.TestCase,
+):
+    channels = 16
+    endpoint = ENDPOINT_FLUX
+    dtype = torch.bfloat16
+    scaling_factor = 0.3611
+    shift_factor = 0.1159