update pipeline tests

api/tests/chain/test_blend_img2img.py

@@ -3,10 +3,11 @@ import unittest
 from PIL import Image
 
 from onnx_web.chain.blend_img2img import BlendImg2ImgStage
-from onnx_web.params import DeviceParams, ImageParams
+from onnx_web.chain.result import StageResult
+from onnx_web.params import ImageParams
 from onnx_web.server.context import ServerContext
 from onnx_web.worker.context import WorkerContext
-from tests.helpers import TEST_MODEL_DIFFUSION_SD15, test_needs_models
+from tests.helpers import TEST_MODEL_DIFFUSION_SD15, test_device, test_needs_models
 
 
 class BlendImg2ImgStageTests(unittest.TestCase):
@@ -25,7 +26,7 @@ class BlendImg2ImgStageTests(unittest.TestCase):
         server = ServerContext(model_path="../models", output_path="../outputs")
         worker = WorkerContext(
             "test",
-            DeviceParams("cpu", "CPUProvider"),
+            test_device(),
             None,
             None,
             None,
@@ -33,11 +34,14 @@ class BlendImg2ImgStageTests(unittest.TestCase):
             None,
             None,
             0,
+            0.1,
         )
-        sources = [
+        sources = StageResult(
+            images=[
                 Image.new("RGB", (64, 64), "black"),
             ]
+        )
         result = stage.run(worker, server, None, params, sources, strength=0.5, steps=1)
 
         self.assertEqual(len(result), 1)
-        self.assertEqual(result[0].getpixel((0, 0)), (127, 127, 127))
+        self.assertEqual(result.as_image()[0].getpixel((0, 0)), (0, 0, 0))

api/tests/chain/test_correct_codeformer.py

@@ -1,21 +1,27 @@
 import unittest
 
 from onnx_web.chain.correct_codeformer import CorrectCodeformerStage
-from onnx_web.params import DeviceParams, HighresParams, UpscaleParams
+from onnx_web.chain.result import StageResult
+from onnx_web.params import HighresParams, UpscaleParams
 from onnx_web.server.context import ServerContext
 from onnx_web.server.hacks import apply_patches
 from onnx_web.worker.context import WorkerContext
+from tests.helpers import (
+    TEST_MODEL_CORRECTION_CODEFORMER,
+    test_device,
+    test_needs_models,
+)
 
 
 class CorrectCodeformerStageTests(unittest.TestCase):
+    @test_needs_models([TEST_MODEL_CORRECTION_CODEFORMER])
     def test_empty(self):
-        """
-        server = ServerContext()
+        server = ServerContext(model_path="../models", output_path="../outputs")
         apply_patches(server)
 
         worker = WorkerContext(
             "test",
-            DeviceParams("cpu", "CPUProvider"),
+            test_device(),
             None,
             None,
             None,
@@ -23,11 +29,18 @@ class CorrectCodeformerStageTests(unittest.TestCase):
             None,
             None,
             0,
+            0.1,
         )
         stage = CorrectCodeformerStage()
         sources = StageResult.empty()
-        result = stage.run(worker, None, None, None, sources, highres=HighresParams(False,1, 0, 0), upscale=UpscaleParams(""))
+        result = stage.run(
+            worker,
+            None,
+            None,
+            None,
+            sources,
+            highres=HighresParams(False, 1, 0, 0),
+            upscale=UpscaleParams(""),
+        )
 
         self.assertEqual(len(result), 0)
-        """
-        pass

api/tests/convert/diffusion/test_lora.py

@@ -233,7 +233,7 @@ class BlendWeightsLoHATests(unittest.TestCase):
         i = 32
         j = 4
         k = 1
-        l = 1
+        l = 1  # NOQA
         p = 2
         r = 4
 

api/tests/convert/test_utils.py

@@ -12,10 +12,7 @@ from onnx_web.convert.utils import (
     tuple_to_source,
     tuple_to_upscaling,
 )
-from tests.helpers import (
-    TEST_MODEL_UPSCALING_SWINIR,
-    test_needs_models,
-)
+from tests.helpers import TEST_MODEL_UPSCALING_SWINIR, test_needs_models
 
 
 class ConversionContextTests(unittest.TestCase):

api/tests/helpers.py

@@ -15,5 +15,6 @@ def test_device() -> DeviceParams:
     return DeviceParams("cpu", "CPUExecutionProvider")
 
 
+TEST_MODEL_CORRECTION_CODEFORMER = "../models/.cache/correction-codeformer.pth"
 TEST_MODEL_DIFFUSION_SD15 = "../models/stable-diffusion-onnx-v1-5"
 TEST_MODEL_UPSCALING_SWINIR = "../models/.cache/upscaling-swinir.pth"