Replace flake8 with ruff and update black (#2279)

* before running make style

* remove left overs from flake8

* finish

* make fix-copies

* final fix

* more fixes

tests/pipelines/paint_by_example/test_paint_by_example.py

@@ -19,13 +19,13 @@ import unittest
 
 import numpy as np
 import torch
+from PIL import Image
+from transformers import CLIPImageProcessor, CLIPVisionConfig
 
 from diffusers import AutoencoderKL, PaintByExamplePipeline, PNDMScheduler, UNet2DConditionModel
 from diffusers.pipelines.paint_by_example import PaintByExampleImageEncoder
 from diffusers.utils import floats_tensor, load_image, slow, torch_device
 from diffusers.utils.testing_utils import require_torch_gpu
-from PIL import Image
-from transformers import CLIPImageProcessor, CLIPVisionConfig
 
 from ...test_pipelines_common import PipelineTesterMixin
 

tests/pipelines/stable_diffusion/test_cycle_diffusion.py

@@ -19,11 +19,11 @@ import unittest
 
 import numpy as np
 import torch
+from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
 
 from diffusers import AutoencoderKL, CycleDiffusionPipeline, DDIMScheduler, UNet2DConditionModel
 from diffusers.utils import floats_tensor, load_image, load_numpy, slow, torch_device
 from diffusers.utils.testing_utils import require_torch_gpu
-from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
 
 from ...test_pipelines_common import PipelineTesterMixin
 

tests/pipelines/stable_diffusion/test_stable_diffusion.py

@@ -21,6 +21,7 @@ import unittest
 
 import numpy as np
 import torch
+from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
 
 from diffusers import (
     AutoencoderKL,
@@ -36,7 +37,6 @@ from diffusers import (
 )
 from diffusers.utils import load_numpy, nightly, slow, torch_device
 from diffusers.utils.testing_utils import CaptureLogger, require_torch_gpu
-from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
 
 from ...models.test_models_unet_2d_condition import create_lora_layers
 from ...test_pipelines_common import PipelineTesterMixin

tests/pipelines/stable_diffusion/test_stable_diffusion_image_variation.py

@@ -19,6 +19,8 @@ import unittest
 
 import numpy as np
 import torch
+from PIL import Image
+from transformers import CLIPImageProcessor, CLIPVisionConfig, CLIPVisionModelWithProjection
 
 from diffusers import (
     AutoencoderKL,
@@ -29,8 +31,6 @@ from diffusers import (
 )
 from diffusers.utils import floats_tensor, load_image, load_numpy, nightly, slow, torch_device
 from diffusers.utils.testing_utils import require_torch_gpu
-from PIL import Image
-from transformers import CLIPImageProcessor, CLIPVisionConfig, CLIPVisionModelWithProjection
 
 from ...test_pipelines_common import PipelineTesterMixin
 

tests/pipelines/stable_diffusion/test_stable_diffusion_img2img.py

@@ -19,6 +19,7 @@ import unittest
 
 import numpy as np
 import torch
+from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
 
 from diffusers import (
     AutoencoderKL,
@@ -31,7 +32,6 @@ from diffusers import (
 )
 from diffusers.utils import floats_tensor, load_image, load_numpy, nightly, slow, torch_device
 from diffusers.utils.testing_utils import require_torch_gpu
-from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
 
 from ...test_pipelines_common import PipelineTesterMixin
 

tests/pipelines/stable_diffusion/test_stable_diffusion_inpaint.py

@@ -19,6 +19,8 @@ import unittest
 
 import numpy as np
 import torch
+from PIL import Image
+from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
 
 from diffusers import (
     AutoencoderKL,
@@ -31,8 +33,6 @@ from diffusers import (
 from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_inpaint import prepare_mask_and_masked_image
 from diffusers.utils import floats_tensor, load_image, load_numpy, nightly, slow, torch_device
 from diffusers.utils.testing_utils import require_torch_gpu
-from PIL import Image
-from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
 
 from ...test_pipelines_common import PipelineTesterMixin
 

tests/pipelines/stable_diffusion/test_stable_diffusion_inpaint_legacy.py

@@ -19,6 +19,8 @@ import unittest
 
 import numpy as np
 import torch
+from PIL import Image
+from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
 
 from diffusers import (
     AutoencoderKL,
@@ -33,8 +35,6 @@ from diffusers import (
 )
 from diffusers.utils import floats_tensor, load_image, nightly, slow, torch_device
 from diffusers.utils.testing_utils import load_numpy, require_torch_gpu
-from PIL import Image
-from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
 
 
 torch.backends.cuda.matmul.allow_tf32 = False

tests/pipelines/stable_diffusion/test_stable_diffusion_instruction_pix2pix.py

@@ -19,6 +19,8 @@ import unittest
 
 import numpy as np
 import torch
+from PIL import Image
+from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
 
 from diffusers import (
     AutoencoderKL,
@@ -31,8 +33,6 @@ from diffusers import (
 )
 from diffusers.utils import floats_tensor, load_image, slow, torch_device
 from diffusers.utils.testing_utils import require_torch_gpu
-from PIL import Image
-from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
 
 from ...test_pipelines_common import PipelineTesterMixin
 

tests/pipelines/stable_diffusion_2/test_stable_diffusion.py

@@ -18,6 +18,7 @@ import unittest
 
 import numpy as np
 import torch
+from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
 
 from diffusers import (
     AutoencoderKL,
@@ -33,7 +34,6 @@ from diffusers import (
 )
 from diffusers.utils import load_numpy, nightly, slow, torch_device
 from diffusers.utils.testing_utils import CaptureLogger, require_torch_gpu
-from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
 
 from ...test_pipelines_common import PipelineTesterMixin
 

tests/pipelines/stable_diffusion_2/test_stable_diffusion_depth.py

@@ -20,6 +20,15 @@ import unittest
 
 import numpy as np
 import torch
+from PIL import Image
+from transformers import (
+    CLIPTextConfig,
+    CLIPTextModel,
+    CLIPTokenizer,
+    DPTConfig,
+    DPTFeatureExtractor,
+    DPTForDepthEstimation,
+)
 
 from diffusers import (
     AutoencoderKL,
@@ -33,15 +42,6 @@ from diffusers import (
 from diffusers.utils import floats_tensor, load_image, load_numpy, nightly, slow, torch_device
 from diffusers.utils.import_utils import is_accelerate_available
 from diffusers.utils.testing_utils import require_torch_gpu
-from PIL import Image
-from transformers import (
-    CLIPTextConfig,
-    CLIPTextModel,
-    CLIPTokenizer,
-    DPTConfig,
-    DPTFeatureExtractor,
-    DPTForDepthEstimation,
-)
 
 from ...test_pipelines_common import PipelineTesterMixin
 

tests/pipelines/stable_diffusion_2/test_stable_diffusion_inpaint.py

@@ -19,12 +19,12 @@ import unittest
 
 import numpy as np
 import torch
+from PIL import Image
+from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
 
 from diffusers import AutoencoderKL, PNDMScheduler, StableDiffusionInpaintPipeline, UNet2DConditionModel
 from diffusers.utils import floats_tensor, load_image, load_numpy, torch_device
 from diffusers.utils.testing_utils import require_torch_gpu, slow
-from PIL import Image
-from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
 
 from ...test_pipelines_common import PipelineTesterMixin
 

tests/pipelines/stable_diffusion_2/test_stable_diffusion_latent_upscale.py

@@ -19,6 +19,7 @@ import unittest
 
 import numpy as np
 import torch
+from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
 
 from diffusers import (
     AutoencoderKL,
@@ -29,7 +30,6 @@ from diffusers import (
 )
 from diffusers.utils import floats_tensor, load_image, load_numpy, slow, torch_device
 from diffusers.utils.testing_utils import require_torch_gpu
-from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
 
 from ...test_pipelines_common import PipelineTesterMixin
 

tests/pipelines/stable_diffusion_2/test_stable_diffusion_upscale.py

@@ -19,12 +19,12 @@ import unittest
 
 import numpy as np
 import torch
+from PIL import Image
+from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
 
 from diffusers import AutoencoderKL, DDIMScheduler, DDPMScheduler, StableDiffusionUpscalePipeline, UNet2DConditionModel
 from diffusers.utils import floats_tensor, load_image, load_numpy, slow, torch_device
 from diffusers.utils.testing_utils import require_torch_gpu
-from PIL import Image
-from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
 
 
 torch.backends.cuda.matmul.allow_tf32 = False

tests/pipelines/stable_diffusion_2/test_stable_diffusion_v_pred.py

@@ -19,6 +19,7 @@ import unittest
 
 import numpy as np
 import torch
+from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
 
 from diffusers import (
     AutoencoderKL,
@@ -30,7 +31,6 @@ from diffusers import (
 )
 from diffusers.utils import load_numpy, slow, torch_device
 from diffusers.utils.testing_utils import require_torch_gpu
-from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
 
 
 torch.backends.cuda.matmul.allow_tf32 = False

tests/pipelines/stable_diffusion_safe/test_safe_diffusion.py

@@ -20,12 +20,12 @@ import unittest
 
 import numpy as np
 import torch
+from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
 
 from diffusers import AutoencoderKL, DDIMScheduler, LMSDiscreteScheduler, PNDMScheduler, UNet2DConditionModel
 from diffusers.pipelines.stable_diffusion_safe import StableDiffusionPipelineSafe as StableDiffusionPipeline
 from diffusers.utils import floats_tensor, nightly, torch_device
 from diffusers.utils.testing_utils import require_torch_gpu
-from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
 
 
 torch.backends.cuda.matmul.allow_tf32 = False

tests/pipelines/unclip/test_unclip.py

@@ -18,12 +18,12 @@ import unittest
 
 import numpy as np
 import torch
+from transformers import CLIPTextConfig, CLIPTextModelWithProjection, CLIPTokenizer
 
 from diffusers import PriorTransformer, UnCLIPPipeline, UnCLIPScheduler, UNet2DConditionModel, UNet2DModel
 from diffusers.pipelines.unclip.text_proj import UnCLIPTextProjModel
 from diffusers.utils import load_numpy, nightly, slow, torch_device
 from diffusers.utils.testing_utils import require_torch_gpu
-from transformers import CLIPTextConfig, CLIPTextModelWithProjection, CLIPTokenizer
 
 from ...test_pipelines_common import PipelineTesterMixin, assert_mean_pixel_difference
 

tests/pipelines/unclip/test_unclip_image_variation.py

@@ -19,6 +19,14 @@ import unittest
 
 import numpy as np
 import torch
+from transformers import (
+    CLIPImageProcessor,
+    CLIPTextConfig,
+    CLIPTextModelWithProjection,
+    CLIPTokenizer,
+    CLIPVisionConfig,
+    CLIPVisionModelWithProjection,
+)
 
 from diffusers import (
     DiffusionPipeline,
@@ -30,14 +38,6 @@ from diffusers import (
 from diffusers.pipelines.unclip.text_proj import UnCLIPTextProjModel
 from diffusers.utils import floats_tensor, load_numpy, slow, torch_device
 from diffusers.utils.testing_utils import load_image, require_torch_gpu
-from transformers import (
-    CLIPImageProcessor,
-    CLIPTextConfig,
-    CLIPTextModelWithProjection,
-    CLIPTokenizer,
-    CLIPVisionConfig,
-    CLIPVisionModelWithProjection,
-)
 
 from ...test_pipelines_common import PipelineTesterMixin, assert_mean_pixel_difference
 

tests/pipelines/vq_diffusion/test_vq_diffusion.py

@@ -18,12 +18,12 @@ import unittest
 
 import numpy as np
 import torch
+from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
 
 from diffusers import Transformer2DModel, VQDiffusionPipeline, VQDiffusionScheduler, VQModel
 from diffusers.pipelines.vq_diffusion.pipeline_vq_diffusion import LearnedClassifierFreeSamplingEmbeddings
 from diffusers.utils import load_numpy, slow, torch_device
 from diffusers.utils.testing_utils import require_torch_gpu
-from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
 
 
 torch.backends.cuda.matmul.allow_tf32 = False

tests/repo_utils/test_check_dummies.py

@@ -20,7 +20,7 @@ import unittest
 git_repo_path = os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
 sys.path.append(os.path.join(git_repo_path, "utils"))
 
-import check_dummies
+import check_dummies  # noqa: E402
 from check_dummies import create_dummy_files, create_dummy_object, find_backend, read_init  # noqa: E402
 
 
@@ -94,8 +94,6 @@ class FakeClass(metaclass=DummyObject):
 
     def test_create_dummy_files(self):
         expected_dummy_pytorch_file = """# This file is autogenerated by the command `make fix-copies`, do not edit.
-# flake8: noqa
-
 from ..utils import DummyObject, requires_backends
 
 

tests/test_outputs.py

@@ -3,8 +3,8 @@ from dataclasses import dataclass
 from typing import List, Union
 
 import numpy as np
-
 import PIL.Image
+
 from diffusers.utils.outputs import BaseOutput