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Unverified Commit 843355f8 authored by Sayak Paul's avatar Sayak Paul Committed by GitHub
Browse files

[tests] xfail some kandinsky tests. (#12364)

xfail some kandinsky tests.
parent c006a95d
......@@ -27,8 +27,8 @@ else:
_import_structure["pipeline_qwenimage_controlnet"] = ["QwenImageControlNetPipeline"]
_import_structure["pipeline_qwenimage_controlnet_inpaint"] = ["QwenImageControlNetInpaintPipeline"]
_import_structure["pipeline_qwenimage_edit"] = ["QwenImageEditPipeline"]
_import_structure["pipeline_qwenimage_edit_plus"] = ["QwenImageEditPlusPipeline"]
_import_structure["pipeline_qwenimage_edit_inpaint"] = ["QwenImageEditInpaintPipeline"]
_import_structure["pipeline_qwenimage_edit_plus"] = ["QwenImageEditPlusPipeline"]
_import_structure["pipeline_qwenimage_img2img"] = ["QwenImageImg2ImgPipeline"]
_import_structure["pipeline_qwenimage_inpaint"] = ["QwenImageInpaintPipeline"]
......
......@@ -18,11 +18,13 @@ import random
import unittest
import numpy as np
import pytest
import torch
from transformers import XLMRobertaTokenizerFast
from diffusers import DDIMScheduler, KandinskyPipeline, KandinskyPriorPipeline, UNet2DConditionModel, VQModel
from diffusers.pipelines.kandinsky.text_encoder import MCLIPConfig, MultilingualCLIP
from diffusers.utils import is_transformers_version
from ...testing_utils import (
backend_empty_cache,
......@@ -215,6 +217,9 @@ class KandinskyPipelineFastTests(PipelineTesterMixin, unittest.TestCase):
dummy = Dummies()
return dummy.get_dummy_inputs(device=device, seed=seed)
@pytest.mark.xfail(
condition=is_transformers_version(">=", "4.56.2"), reason="Latest transformers changes the slices", strict=True
)
def test_kandinsky(self):
device = "cpu"
......
......@@ -16,8 +16,10 @@
import unittest
import numpy as np
import pytest
from diffusers import KandinskyCombinedPipeline, KandinskyImg2ImgCombinedPipeline, KandinskyInpaintCombinedPipeline
from diffusers.utils import is_transformers_version
from ...testing_utils import enable_full_determinism, require_torch_accelerator, torch_device
from ..test_pipelines_common import PipelineTesterMixin
......@@ -73,6 +75,9 @@ class KandinskyPipelineCombinedFastTests(PipelineTesterMixin, unittest.TestCase)
)
return inputs
@pytest.mark.xfail(
condition=is_transformers_version(">=", "4.56.2"), reason="Latest transformers changes the slices", strict=True
)
def test_kandinsky(self):
device = "cpu"
......@@ -181,6 +186,9 @@ class KandinskyPipelineImg2ImgCombinedFastTests(PipelineTesterMixin, unittest.Te
inputs.pop("negative_image_embeds")
return inputs
@pytest.mark.xfail(
condition=is_transformers_version(">=", "4.56.2"), reason="Latest transformers changes the slices", strict=True
)
def test_kandinsky(self):
device = "cpu"
......@@ -292,6 +300,9 @@ class KandinskyPipelineInpaintCombinedFastTests(PipelineTesterMixin, unittest.Te
inputs.pop("negative_image_embeds")
return inputs
@pytest.mark.xfail(
condition=is_transformers_version(">=", "4.56.2"), reason="Latest transformers changes the slices", strict=True
)
def test_kandinsky(self):
device = "cpu"
......
......@@ -18,6 +18,7 @@ import random
import unittest
import numpy as np
import pytest
import torch
from PIL import Image
from transformers import XLMRobertaTokenizerFast
......@@ -31,6 +32,7 @@ from diffusers import (
VQModel,
)
from diffusers.pipelines.kandinsky.text_encoder import MCLIPConfig, MultilingualCLIP
from diffusers.utils import is_transformers_version
from ...testing_utils import (
backend_empty_cache,
......@@ -237,6 +239,9 @@ class KandinskyImg2ImgPipelineFastTests(PipelineTesterMixin, unittest.TestCase):
dummies = Dummies()
return dummies.get_dummy_inputs(device=device, seed=seed)
@pytest.mark.xfail(
condition=is_transformers_version(">=", "4.56.2"), reason="Latest transformers changes the slices", strict=True
)
def test_kandinsky_img2img(self):
device = "cpu"
......
......@@ -18,12 +18,14 @@ import random
import unittest
import numpy as np
import pytest
import torch
from PIL import Image
from transformers import XLMRobertaTokenizerFast
from diffusers import DDIMScheduler, KandinskyInpaintPipeline, KandinskyPriorPipeline, UNet2DConditionModel, VQModel
from diffusers.pipelines.kandinsky.text_encoder import MCLIPConfig, MultilingualCLIP
from diffusers.utils import is_transformers_version
from ...testing_utils import (
backend_empty_cache,
......@@ -231,6 +233,9 @@ class KandinskyInpaintPipelineFastTests(PipelineTesterMixin, unittest.TestCase):
dummies = Dummies()
return dummies.get_dummy_inputs(device=device, seed=seed)
@pytest.mark.xfail(
condition=is_transformers_version(">=", "4.56.2"), reason="Latest transformers changes the slices", strict=True
)
def test_kandinsky_inpaint(self):
device = "cpu"
......
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