diff --git a/CHANGELOG.md b/CHANGELOG.md
index 0dac17552..b778dca21 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,8 +1,8 @@
 # Change Log for SD.Next
 
-## Update for 2024-12-23
+## Update for 2024-12-24
 
-### Highlights for 2024-12-23
+### Highlights for 2024-12-24
 
 ### SD.Next Xmass edition: *What's new?*
 
@@ -28,11 +28,11 @@ And a lot of **Control** and **IPAdapter** goodies
 Plus couple of new integrated workflows such as [FreeScale](https://github.com/ali-vilab/FreeScale) and [Style Aligned Image Generation](https://style-aligned-gen.github.io/)  
 
 And it wouldn't be a *Xmass edition* without couple of custom themes: *Snowflake* and *Elf-Green*!  
-All-in-all, we're around ~160 commits worth of updates, check changelog for full list  
+All-in-all, we're around ~180 commits worth of updates, check the changelog for full list  
 
 [ReadMe](https://github.com/vladmandic/automatic/blob/master/README.md) | [ChangeLog](https://github.com/vladmandic/automatic/blob/master/CHANGELOG.md) | [Docs](https://vladmandic.github.io/sdnext-docs/) | [WiKi](https://github.com/vladmandic/automatic/wiki) | [Discord](https://discord.com/invite/sd-next-federal-batch-inspectors-1101998836328697867)
 
-## Details for 2024-12-23
+## Details for 2024-12-24
 
 ### New models and integrations
 
diff --git a/README.md b/README.md
index e33b3112a..2a220ca1d 100644
--- a/README.md
+++ b/README.md
@@ -26,7 +26,7 @@
 All individual features are not listed here, instead check [ChangeLog](CHANGELOG.md) for full list of changes
 - Multiple UIs!  
   ▹ **Standard | Modern**  
-- Multiple diffusion models!  
+- Multiple [diffusion models](https://vladmandic.github.io/sdnext-docs/Model-Support/)!  
 - Built-in Control for Text, Image, Batch and video processing!  
 - Multiplatform!  
  ▹ **Windows | Linux | MacOS | nVidia | AMD | IntelArc/IPEX | DirectML | OpenVINO | ONNX+Olive | ZLUDA**
@@ -36,7 +36,6 @@ All individual features are not listed here, instead check [ChangeLog](CHANGELOG
 - Optimized processing with latest `torch` developments with built-in support for `torch.compile`  
   and multiple compile backends: *Triton, ZLUDA, StableFast, DeepCache, OpenVINO, NNCF, IPEX, OneDiff*  
 - Built-in queue management  
-- Enterprise level logging and hardened API  
 - Built in installer with automatic updates and dependency management  
 - Mobile compatible  
 
@@ -68,7 +67,7 @@ SD.Next supports broad range of models: [supported models](https://vladmandic.gi
 - Any GPU or device compatible with **OpenVINO** libraries on both *Windows and Linux*  
 - *Apple M1/M2* on *OSX* using built-in support in Torch with **MPS** optimizations  
 - *ONNX/Olive*  
-- *AMD* GPUs on Windows using **ZLUDA** libraries
+- *AMD* GPUs on Windows using **ZLUDA** libraries  
 
 ## Getting started
 
diff --git a/extensions-builtin/stable-diffusion-webui-rembg b/extensions-builtin/stable-diffusion-webui-rembg
index ff2bbd168..50bc931ce 160000
--- a/extensions-builtin/stable-diffusion-webui-rembg
+++ b/extensions-builtin/stable-diffusion-webui-rembg
@@ -1 +1 @@
-Subproject commit ff2bbd16820617ce26183a6c6538dc95a312b5de
+Subproject commit 50bc931ce6715e30bb86da52033e01e98add4e6c
diff --git a/installer.py b/installer.py
index 46ccce92c..43c4e84e3 100644
--- a/installer.py
+++ b/installer.py
@@ -459,7 +459,7 @@ def check_python(supported_minors=[9, 10, 11, 12], reason=None):
 def check_diffusers():
     if args.skip_all or args.skip_git:
         return
-    sha = '4b557132ce955d58fd84572c03e79f43bdc91450' # diffusers commit hash
+    sha = '6dfaec348780c6153a4cfd03a01972a291d67f82' # diffusers commit hash
     pkg = pkg_resources.working_set.by_key.get('diffusers', None)
     minor = int(pkg.version.split('.')[1] if pkg is not None else 0)
     cur = opts.get('diffusers_version', '') if minor > 0 else ''
diff --git a/modules/processing_vae.py b/modules/processing_vae.py
index 1710bd992..95b83daa4 100644
--- a/modules/processing_vae.py
+++ b/modules/processing_vae.py
@@ -141,7 +141,8 @@ def full_vae_decode(latents, model):
 
     log_debug(f'VAE config: {model.vae.config}')
     try:
-        decoded = model.vae.decode(latents, return_dict=False)[0]
+        with devices.inference_context():
+            decoded = model.vae.decode(latents, return_dict=False)[0]
     except Exception as e:
         shared.log.error(f'VAE decode: {stats} {e}')
         if 'out of memory' not in str(e):
@@ -159,8 +160,6 @@ def full_vae_decode(latents, model):
             model.vae.apply(sd_models.convert_to_faketensors)
             devices.torch_gc(force=True)
 
-    # if shared.opts.diffusers_offload_mode == "balanced":
-    #    shared.sd_model = sd_models.apply_balanced_offload(shared.sd_model)
     elif shared.opts.diffusers_move_unet and not getattr(model, 'has_accelerate', False) and base_device is not None:
         sd_models.move_base(model, base_device)
     t1 = time.time()
diff --git a/requirements.txt b/requirements.txt
index 7592162fa..a67ad1ba2 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -45,7 +45,7 @@ accelerate==1.2.1
 opencv-contrib-python-headless==4.9.0.80
 einops==0.4.1
 gradio==3.43.2
-huggingface_hub==0.26.5
+huggingface_hub==0.27.0
 numexpr==2.8.8
 numpy==1.26.4
 numba==0.59.1