Update pipeline_flux_kontext.py

pipeline_flux_kontext.py

@@ -26,11 +26,11 @@ from transformers import (
     T5TokenizerFast,
 )
 
-from ...image_processor import PipelineImageInput, VaeImageProcessor
-from ...loaders import FluxIPAdapterMixin, FluxLoraLoaderMixin, FromSingleFileMixin, TextualInversionLoaderMixin
-from ...models import AutoencoderKL, FluxTransformer2DModel
-from ...schedulers import FlowMatchEulerDiscreteScheduler
-from ...utils import (
+from diffusers.image_processor import PipelineImageInput, VaeImageProcessor
+from diffusers.loaders import FluxIPAdapterMixin, FluxLoraLoaderMixin, FromSingleFileMixin, TextualInversionLoaderMixin
+from diffusers.models import AutoencoderKL, FluxTransformer2DModel
+from diffusers.schedulers import FlowMatchEulerDiscreteScheduler
+from diffusers.utils import (
     USE_PEFT_BACKEND,
     is_torch_xla_available,
     logging,
@@ -38,9 +38,9 @@ from ...utils import (
     scale_lora_layers,
     unscale_lora_layers,
 )
-from ...utils.torch_utils import randn_tensor
-from ..pipeline_utils import DiffusionPipeline
-from .pipeline_output import FluxPipelineOutput
+from diffusers.utils.torch_utils import randn_tensor
+from diffusers.pipelines.pipeline_utils import DiffusionPipeline
+from diffusers.pipelines.flux.pipeline_output import FluxPipelineOutput
 
 
 if is_torch_xla_available():