fix style

Author: MekkCyber

src/diffusers/quantizers/auto.py

@@ -20,19 +20,19 @@
 from typing import Dict, Optional, Union
 
 from .bitsandbytes import BnB4BitDiffusersQuantizer, BnB8BitDiffusersQuantizer
+from .finegrained_fp8 import FinegrainedFP8Quantizer
 from .gguf import GGUFQuantizer
 from .quantization_config import (
     BitsAndBytesConfig,
+    FinegrainedFP8Config,
     GGUFQuantizationConfig,
     QuantizationConfigMixin,
     QuantizationMethod,
     QuantoConfig,
     TorchAoConfig,
-    FinegrainedFP8Config,
 )
 from .quanto import QuantoQuantizer
 from .torchao import TorchAoHfQuantizer
-from .finegrained_fp8 import FinegrainedFP8Quantizer
 
 
 AUTO_QUANTIZER_MAPPING = {

src/diffusers/quantizers/finegrained_fp8/__init__.py

@@ -1 +1 @@
-from .finegrained_fp8_quantizer import FinegrainedFP8Quantizer
+ src/diffusers/quantizers/finegrained_fp8/finegrained_fp8_quantizer.pyfrom .finegrained_fp8_quantizer import FinegrainedFP8Quantizer

src/diffusers/quantizers/finegrained_fp8/finegrained_fp8_quantizer.py

@@ -1,8 +1,7 @@
 from typing import TYPE_CHECKING, Any, Dict, List, Optional
 
-from ...utils import is_accelerate_available, is_torch_available, logging
+from ...utils import get_module_from_name, is_accelerate_available, is_torch_available, logging
 from ..base import DiffusersQuantizer
-from ...utils import get_module_from_name
 
 
 if is_torch_available():
@@ -13,6 +12,7 @@
 if TYPE_CHECKING:
     from ...models.modeling_utils import ModelMixin
 
+
 class FinegrainedFP8Quantizer(DiffusersQuantizer):
     """
     FP8 quantization implementation supporting both standard and MoE models.

src/diffusers/quantizers/quantization_config.py

@@ -28,7 +28,7 @@
 from dataclasses import dataclass
 from enum import Enum
 from functools import partial
-from typing import Any, Dict, List, Optional, Union, Tuple
+from typing import Any, Dict, List, Optional, Tuple, Union
 
 from packaging import version
 
@@ -725,7 +725,6 @@ def post_init(self):
             raise ValueError(f"Only support weights in {accepted_weights} but found {self.weights_dtype}")
 
 
-
 @dataclass
 class FinegrainedFP8Config(QuantizationConfigMixin):
     """