diff --git a/invokeai/backend/model_manager/load/model_loaders/stable_diffusion.py b/invokeai/backend/model_manager/load/model_loaders/stable_diffusion.py
index 572859dbaee..4113588b36f 100644
--- a/invokeai/backend/model_manager/load/model_loaders/stable_diffusion.py
+++ b/invokeai/backend/model_manager/load/model_loaders/stable_diffusion.py
@@ -117,8 +117,6 @@ def _load_from_singlefile(
             load_class = load_classes[config.base][config.variant]
         except KeyError as e:
             raise Exception(f"No diffusers pipeline known for base={config.base}, variant={config.variant}") from e
-        prediction_type = config.prediction_type.value
-        upcast_attention = config.upcast_attention
 
         # Without SilenceWarnings we get log messages like this:
         # site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
@@ -129,13 +127,7 @@ def _load_from_singlefile(
         # ['text_model.embeddings.position_ids']
 
         with SilenceWarnings():
-            pipeline = load_class.from_single_file(
-                config.path,
-                torch_dtype=self._torch_dtype,
-                prediction_type=prediction_type,
-                upcast_attention=upcast_attention,
-                load_safety_checker=False,
-            )
+            pipeline = load_class.from_single_file(config.path, torch_dtype=self._torch_dtype)
 
         if not submodel_type:
             return pipeline
diff --git a/invokeai/backend/model_manager/metadata/fetch/huggingface.py b/invokeai/backend/model_manager/metadata/fetch/huggingface.py
index 8787ceeb36a..8c1d6e74aea 100644
--- a/invokeai/backend/model_manager/metadata/fetch/huggingface.py
+++ b/invokeai/backend/model_manager/metadata/fetch/huggingface.py
@@ -20,7 +20,7 @@
 
 import requests
 from huggingface_hub import HfApi, configure_http_backend, hf_hub_url
-from huggingface_hub.utils._errors import RepositoryNotFoundError, RevisionNotFoundError
+from huggingface_hub.errors import RepositoryNotFoundError, RevisionNotFoundError
 from pydantic.networks import AnyHttpUrl
 from requests.sessions import Session
 
diff --git a/invokeai/backend/util/hotfixes.py b/invokeai/backend/util/hotfixes.py
index 7e362fe9589..95f2c904ad8 100644
--- a/invokeai/backend/util/hotfixes.py
+++ b/invokeai/backend/util/hotfixes.py
@@ -3,7 +3,7 @@
 import diffusers
 import torch
 from diffusers.configuration_utils import ConfigMixin, register_to_config
-from diffusers.loaders import FromOriginalControlNetMixin
+from diffusers.loaders.single_file_model import FromOriginalModelMixin
 from diffusers.models.attention_processor import AttentionProcessor, AttnProcessor
 from diffusers.models.controlnet import ControlNetConditioningEmbedding, ControlNetOutput, zero_module
 from diffusers.models.embeddings import (
@@ -32,7 +32,9 @@
 logger = InvokeAILogger.get_logger(__name__)
 
 
-class ControlNetModel(ModelMixin, ConfigMixin, FromOriginalControlNetMixin):
+# NOTE(ryand): I'm not the origina author of this code, but for future reference, it appears that this class was copied
+# from diffusers in order to add support for the encoder_attention_mask argument.
+class ControlNetModel(ModelMixin, ConfigMixin, FromOriginalModelMixin):
     """
     A ControlNet model.
 
diff --git a/pyproject.toml b/pyproject.toml
index 3065ad4c587..493c68ad7d4 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -33,12 +33,12 @@ classifiers = [
 ]
 dependencies = [
   # Core generation dependencies, pinned for reproducible builds.
-  "accelerate==0.30.1",
+  "accelerate==1.0.1",
   "bitsandbytes==0.43.3; sys_platform!='darwin'",
   "clip_anytorch==2.6.0",       # replacing "clip @ https://github.com/openai/CLIP/archive/eaa22acb90a5876642d0507623e859909230a52d.zip",
   "compel==2.0.2",
   "controlnet-aux==0.0.7",
-  "diffusers[torch]==0.27.2",
+  "diffusers[torch]==0.31.0",
   "gguf==0.10.0",
   "invisible-watermark==0.2.0", # needed to install SDXL base and refiner using their repo_ids
   "mediapipe>=0.10.7",          # needed for "mediapipeface" controlnet model
@@ -61,7 +61,7 @@ dependencies = [
   # Core application dependencies, pinned for reproducible builds.
   "fastapi-events==0.11.1",
   "fastapi==0.111.0",
-  "huggingface-hub==0.23.1",
+  "huggingface-hub==0.26.1",
   "pydantic-settings==2.2.1",
   "pydantic==2.7.2",
   "python-socketio==5.11.1",