diff --git a/README.md b/README.md
index 3b1a688..3d548c1 100644
--- a/README.md
+++ b/README.md
@@ -179,7 +179,7 @@ The `Adapter` API lets you **easily patch models** by injecting parameters in ta
 E.g. to inject LoRA layers in all attention's linear layers:
 
 ```python
-from refiners.adapters.lora import SingleLoraAdapter
+from refiners.fluxion.adapters.lora import SingleLoraAdapter
 
 for layer in vit.layers(fl.Attention):
     for linear, parent in layer.walk(fl.Linear):
diff --git a/scripts/conversion/convert_diffusers_lora.py b/scripts/conversion/convert_diffusers_lora.py
index f0052d5..3afde74 100644
--- a/scripts/conversion/convert_diffusers_lora.py
+++ b/scripts/conversion/convert_diffusers_lora.py
@@ -12,7 +12,7 @@ from diffusers import DiffusionPipeline  # type: ignore
 import refiners.fluxion.layers as fl
 from refiners.fluxion.model_converter import ModelConverter
 from refiners.fluxion.utils import save_to_safetensors
-from refiners.adapters.lora import Lora, LoraAdapter
+from refiners.fluxion.adapters.lora import Lora, LoraAdapter
 from refiners.foundationals.latent_diffusion import SD1UNet
 from refiners.foundationals.latent_diffusion.lora import LoraTarget, lora_targets
 
diff --git a/src/refiners/adapters/__init__.py b/src/refiners/fluxion/adapters/__init__.py
similarity index 100%
rename from src/refiners/adapters/__init__.py
rename to src/refiners/fluxion/adapters/__init__.py
diff --git a/src/refiners/adapters/adapter.py b/src/refiners/fluxion/adapters/adapter.py
similarity index 100%
rename from src/refiners/adapters/adapter.py
rename to src/refiners/fluxion/adapters/adapter.py
diff --git a/src/refiners/adapters/lora.py b/src/refiners/fluxion/adapters/lora.py
similarity index 98%
rename from src/refiners/adapters/lora.py
rename to src/refiners/fluxion/adapters/lora.py
index b157fed..e6b55c2 100644
--- a/src/refiners/adapters/lora.py
+++ b/src/refiners/fluxion/adapters/lora.py
@@ -1,7 +1,7 @@
 from typing import Iterable, Generic, TypeVar, Any
 
 import refiners.fluxion.layers as fl
-from refiners.adapters.adapter import Adapter
+from refiners.fluxion.adapters.adapter import Adapter
 
 from torch import Tensor, device as Device, dtype as DType
 from torch.nn import Parameter as TorchParameter
diff --git a/src/refiners/foundationals/clip/concepts.py b/src/refiners/foundationals/clip/concepts.py
index b33b789..a247a52 100644
--- a/src/refiners/foundationals/clip/concepts.py
+++ b/src/refiners/foundationals/clip/concepts.py
@@ -1,4 +1,4 @@
-from refiners.adapters.adapter import Adapter
+from refiners.fluxion.adapters.adapter import Adapter
 from refiners.foundationals.clip.text_encoder import CLIPTextEncoder, TokenEncoder
 from refiners.foundationals.clip.tokenizer import CLIPTokenizer
 import refiners.fluxion.layers as fl
diff --git a/src/refiners/foundationals/latent_diffusion/lora.py b/src/refiners/foundationals/latent_diffusion/lora.py
index d5ddd25..bfde4aa 100644
--- a/src/refiners/foundationals/latent_diffusion/lora.py
+++ b/src/refiners/foundationals/latent_diffusion/lora.py
@@ -7,8 +7,8 @@ from torch import Tensor
 import refiners.fluxion.layers as fl
 from refiners.fluxion.utils import load_from_safetensors, load_metadata_from_safetensors
 
-from refiners.adapters.adapter import Adapter
-from refiners.adapters.lora import SingleLoraAdapter, LoraAdapter
+from refiners.fluxion.adapters.adapter import Adapter
+from refiners.fluxion.adapters.lora import SingleLoraAdapter, LoraAdapter
 
 from refiners.foundationals.clip.text_encoder import FeedForward, TransformerLayer
 from refiners.foundationals.latent_diffusion.cross_attention import CrossAttentionBlock2d
diff --git a/src/refiners/foundationals/latent_diffusion/range_adapter.py b/src/refiners/foundationals/latent_diffusion/range_adapter.py
index b30d062..a9a88a7 100644
--- a/src/refiners/foundationals/latent_diffusion/range_adapter.py
+++ b/src/refiners/foundationals/latent_diffusion/range_adapter.py
@@ -2,7 +2,7 @@ import math
 from torch import Tensor, arange, float32, exp, sin, cat, cos, device as Device, dtype as DType
 from jaxtyping import Float, Int
 
-from refiners.adapters.adapter import Adapter
+from refiners.fluxion.adapters.adapter import Adapter
 import refiners.fluxion.layers as fl
 
 
diff --git a/src/refiners/foundationals/latent_diffusion/reference_only_control.py b/src/refiners/foundationals/latent_diffusion/reference_only_control.py
index 8fd361c..f56707e 100644
--- a/src/refiners/foundationals/latent_diffusion/reference_only_control.py
+++ b/src/refiners/foundationals/latent_diffusion/reference_only_control.py
@@ -9,7 +9,7 @@ from refiners.fluxion.layers import (
     Identity,
     Parallel,
 )
-from refiners.adapters.adapter import Adapter
+from refiners.fluxion.adapters.adapter import Adapter
 from refiners.foundationals.latent_diffusion import SD1UNet
 from refiners.foundationals.latent_diffusion.cross_attention import CrossAttentionBlock
 from torch import Tensor
diff --git a/src/refiners/foundationals/latent_diffusion/stable_diffusion_1/controlnet.py b/src/refiners/foundationals/latent_diffusion/stable_diffusion_1/controlnet.py
index fd00aeb..2439985 100644
--- a/src/refiners/foundationals/latent_diffusion/stable_diffusion_1/controlnet.py
+++ b/src/refiners/foundationals/latent_diffusion/stable_diffusion_1/controlnet.py
@@ -7,7 +7,7 @@ from refiners.foundationals.latent_diffusion.stable_diffusion_1.unet import (
     ResidualBlock,
     TimestepEncoder,
 )
-from refiners.adapters.adapter import Adapter
+from refiners.fluxion.adapters.adapter import Adapter
 from refiners.foundationals.latent_diffusion.range_adapter import RangeAdapter2d
 from typing import cast, Iterable
 from torch import Tensor, device as Device, dtype as DType
diff --git a/src/refiners/foundationals/latent_diffusion/stable_diffusion_xl/text_encoder.py b/src/refiners/foundationals/latent_diffusion/stable_diffusion_xl/text_encoder.py
index 5d159f4..e334c3d 100644
--- a/src/refiners/foundationals/latent_diffusion/stable_diffusion_xl/text_encoder.py
+++ b/src/refiners/foundationals/latent_diffusion/stable_diffusion_xl/text_encoder.py
@@ -1,6 +1,6 @@
 from typing import cast
 from torch import device as Device, dtype as DType, Tensor, cat
-from refiners.adapters.adapter import Adapter
+from refiners.fluxion.adapters.adapter import Adapter
 from refiners.fluxion.context import Contexts
 import refiners.fluxion.layers as fl
 from refiners.foundationals.clip.text_encoder import CLIPTextEncoderG, CLIPTextEncoderL
diff --git a/src/refiners/training_utils/dropout.py b/src/refiners/training_utils/dropout.py
index 7b1a12c..90999ac 100644
--- a/src/refiners/training_utils/dropout.py
+++ b/src/refiners/training_utils/dropout.py
@@ -5,7 +5,7 @@ from torch.nn import Dropout as TorchDropout
 
 import refiners.fluxion.layers as fl
 from refiners.training_utils.callback import Callback
-from refiners.adapters.adapter import Adapter
+from refiners.fluxion.adapters.adapter import Adapter
 
 if TYPE_CHECKING:
     from refiners.training_utils.config import BaseConfig
diff --git a/tests/adapters/test_adapter.py b/tests/adapters/test_adapter.py
index 8f4ee52..daa4ef1 100644
--- a/tests/adapters/test_adapter.py
+++ b/tests/adapters/test_adapter.py
@@ -1,5 +1,5 @@
 import pytest
-from refiners.adapters.adapter import Adapter
+from refiners.fluxion.adapters.adapter import Adapter
 from refiners.fluxion.layers import Chain, Linear
 
 
diff --git a/tests/adapters/test_lora.py b/tests/adapters/test_lora.py
index 6255b88..b73304d 100644
--- a/tests/adapters/test_lora.py
+++ b/tests/adapters/test_lora.py
@@ -1,4 +1,4 @@
-from refiners.adapters.lora import Lora, SingleLoraAdapter, LoraAdapter
+from refiners.fluxion.adapters.lora import Lora, SingleLoraAdapter, LoraAdapter
 from torch import randn, allclose
 import refiners.fluxion.layers as fl
 
diff --git a/tests/adapters/test_range_adapter.py b/tests/adapters/test_range_adapter.py
index d15cd13..ede27d4 100644
--- a/tests/adapters/test_range_adapter.py
+++ b/tests/adapters/test_range_adapter.py
@@ -1,5 +1,5 @@
 import torch
-from refiners.adapters.adapter import Adapter
+from refiners.fluxion.adapters.adapter import Adapter
 from refiners.foundationals.latent_diffusion.range_adapter import RangeEncoder
 from refiners.fluxion.layers import Chain, Linear