update

src/diffusers/pipelines/__init__.py

@@ -149,6 +149,8 @@ else:
             "WuerstchenCombinedPipeline",
             "WuerstchenDecoderPipeline",
             "WuerstchenPriorPipeline",
+            "BlipDiffusionPipeline",
+            "BlipDiffusionControlNetPipeline",
         ]
     )
     _import_structure["allegro"] = ["AllegroPipeline"]
@@ -180,7 +182,6 @@ else:
         "AudioLDM2ProjectionModel",
         "AudioLDM2UNet2DConditionModel",
     ]
-    _import_structure["blip_diffusion"] = ["BlipDiffusionPipeline"]
     _import_structure["cogvideo"] = [
         "CogVideoXPipeline",
         "CogVideoXImageToVideoPipeline",
@@ -191,7 +192,6 @@ else:
     _import_structure["cogview4"] = ["CogView4Pipeline", "CogView4ControlPipeline"]
     _import_structure["controlnet"].extend(
         [
-            "BlipDiffusionControlNetPipeline",
             "StableDiffusionControlNetImg2ImgPipeline",
             "StableDiffusionControlNetInpaintPipeline",
             "StableDiffusionControlNetPipeline",

src/diffusers/pipelines/deprecated/__init__.py

@@ -76,6 +76,8 @@ else:
         "StableDiffusionControlNetXSPipeline",
         "StableDiffusionXLControlNetXSPipeline",
     ]
+    _import_structure["blip_diffusion"] = ["BlipDiffusionPipeline"]
+    _import_structure["controlnet"] = ["BlipDiffusionControlNetPipeline"]
     _import_structure["i2vgen_xl"] = ["I2VGenXLPipeline"]
     _import_structure["latte"] = ["LattePipeline"]
     _import_structure["musicldm"] = ["MusicLDMPipeline"]

src/diffusers/pipelines/deprecated/blip_diffusion/__init__.py

@@ -5,7 +5,7 @@ import numpy as np
 import PIL
 from PIL import Image
 
-from ...utils import OptionalDependencyNotAvailable, is_torch_available, is_transformers_available
+from ....utils import OptionalDependencyNotAvailable, is_torch_available, is_transformers_available
 
 
 try:

src/diffusers/pipelines/deprecated/blip_diffusion/pipeline_blip_diffusion.py

@@ -17,15 +17,15 @@ import PIL.Image
 import torch
 from transformers import CLIPTokenizer
 
-from ...models import AutoencoderKL, UNet2DConditionModel
-from ...schedulers import PNDMScheduler
-from ...utils import (
+from ....models import AutoencoderKL, UNet2DConditionModel
+from ....schedulers import PNDMScheduler
+from ....utils import (
     is_torch_xla_available,
     logging,
     replace_example_docstring,
 )
-from ...utils.torch_utils import randn_tensor
-from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput
+from ....utils.torch_utils import randn_tensor
+from ...pipeline_utils import DiffusionPipeline, ImagePipelineOutput
 from .blip_image_processing import BlipImageProcessor
 from .modeling_blip2 import Blip2QFormerModel
 from .modeling_ctx_clip import ContextCLIPTextModel

src/diffusers/pipelines/deprecated/controlnet/__init__.py

@@ -0,0 +1,46 @@
+from typing import TYPE_CHECKING
+
+from ....utils import (
+    DIFFUSERS_SLOW_IMPORT,
+    OptionalDependencyNotAvailable,
+    _LazyModule,
+    get_objects_from_module,
+    is_torch_available,
+    is_transformers_available,
+)
+
+
+_dummy_objects = {}
+_import_structure = {}
+
+try:
+    if not (is_transformers_available() and is_torch_available()):
+        raise OptionalDependencyNotAvailable()
+except OptionalDependencyNotAvailable:
+    from ....utils import dummy_torch_and_transformers_objects  # noqa F403
+
+    _dummy_objects.update(get_objects_from_module(dummy_torch_and_transformers_objects))
+else:
+    _import_structure["pipeline_controlnet_blip_diffusion"] = ["BlipDiffusionControlNetPipeline"]
+
+if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
+    try:
+        if not (is_transformers_available() and is_torch_available()):
+            raise OptionalDependencyNotAvailable()
+
+    except OptionalDependencyNotAvailable:
+        from ...utils.dummy_torch_and_transformers_objects import *
+    else:
+        from .pipeline_controlnet_blip_diffusion import BlipDiffusionControlNetPipeline
+
+else:
+    import sys
+
+    sys.modules[__name__] = _LazyModule(
+        __name__,
+        globals()["__file__"],
+        _import_structure,
+        module_spec=__spec__,
+    )
+    for name, value in _dummy_objects.items():
+        setattr(sys.modules[__name__], name, value)

src/diffusers/pipelines/deprecated/controlnet/pipeline_controlnet_blip_diffusion.py

@@ -18,18 +18,18 @@ import PIL.Image
 import torch
 from transformers import CLIPTokenizer
 
-from ...models import AutoencoderKL, ControlNetModel, UNet2DConditionModel
-from ...schedulers import PNDMScheduler
-from ...utils import (
+from ....models import AutoencoderKL, ControlNetModel, UNet2DConditionModel
+from ....schedulers import PNDMScheduler
+from ....utils import (
     is_torch_xla_available,
     logging,
     replace_example_docstring,
 )
-from ...utils.torch_utils import randn_tensor
+from ....utils.torch_utils import randn_tensor
+from ...pipeline_utils import DiffusionPipeline, ImagePipelineOutput
 from ..blip_diffusion.blip_image_processing import BlipImageProcessor
 from ..blip_diffusion.modeling_blip2 import Blip2QFormerModel
 from ..blip_diffusion.modeling_ctx_clip import ContextCLIPTextModel
-from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput
 
 
 if is_torch_xla_available():