fix imports in community pipeline for semantic guidance for flux

Author: Marlon154

examples/community/pipeline_flux_semantic_guidance.py

@@ -13,22 +13,25 @@
 # limitations under the License.
 
 import inspect
-from typing import Any, Callable, Dict, List, Optional, Union, Tuple
+from typing import Any, Callable, Dict, List, Optional, Union
+
 import numpy as np
 import torch
 from transformers import (
+    CLIPImageProcessor,
     CLIPTextModel,
     CLIPTokenizer,
+    CLIPVisionModelWithProjection,
     T5EncoderModel,
     T5TokenizerFast,
-    CLIPVisionModelWithProjection,
-    CLIPImageProcessor
 )
-from diffusers.pipelines.flux.pipeline_output import FluxPipelineOutput
-from diffusers.image_processor import VaeImageProcessor, PipelineImageInput
-from diffusers.loaders import FluxLoraLoaderMixin, TextualInversionLoaderMixin, FromSingleFileMixin, FluxIPAdapterMixin
+
+from diffusers.image_processor import PipelineImageInput, VaeImageProcessor
+from diffusers.loaders import FluxIPAdapterMixin, FluxLoraLoaderMixin, FromSingleFileMixin, TextualInversionLoaderMixin
 from diffusers.models.autoencoders import AutoencoderKL
 from diffusers.models.transformers import FluxTransformer2DModel
+from diffusers.pipelines.flux.pipeline_output import FluxPipelineOutput
+from diffusers.pipelines.pipeline_utils import DiffusionPipeline
 from diffusers.schedulers import FlowMatchEulerDiscreteScheduler
 from diffusers.utils import (
     USE_PEFT_BACKEND,
@@ -39,7 +42,7 @@
     unscale_lora_layers,
 )
 from diffusers.utils.torch_utils import randn_tensor
-from diffusers.pipelines.pipeline_utils import DiffusionPipeline
+
 
 if is_torch_xla_available():
     import torch_xla.core.xla_model as xm
@@ -57,7 +60,7 @@
         >>> from diffusers import DiffusionPipeline
 
         >>> pipe = DiffusionPipeline.from_pretrained(
-        >>>     "black-forest-labs/FLUX.1-dev", 
+        >>>     "black-forest-labs/FLUX.1-dev",
         >>>     custom_pipeline="pipeline_flux_semantic_guidance",
         >>>     torch_dtype=torch.bfloat16
         >>> )