diff --git a/CHANGELOG.md b/CHANGELOG.md
index f9db1683e..8390e4e5c 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,6 +1,17 @@
 # Change Log for SD.Next
 
-## Highlights for 2026-08-26
+## Update for 2026-08-27
+
+- **LoRA**
+  - new calibration engine that allows lora to be applied with far smaller error when dealing with highly quantized models
+  - new apply engine that allows lora to be applied much faster
+  - *note*: calibration data is stored once calculated so it can be reused for future runs, location is `models/calibration` folder  
+- **Internal**
+  - attention mechanisms decision tree and apply method refactor
+
+## Update for 2026-08-26
+
+### Highlights for 2026-08-26
 
 Time for a new release, *this is a large one*!
 Main focus is improving video workflows which also brings full support for new [MiniMax H3](https://vladmandic.github.io/sdnext-docs/MiniMax) and [LTXVideo-2.5](https://vladmandic.github.io/sdnext-docs/LTX)  
diff --git a/modules/lora/lora_calib.py b/modules/lora/lora_calib.py
index d854016d9..032148944 100644
--- a/modules/lora/lora_calib.py
+++ b/modules/lora/lora_calib.py
@@ -21,6 +21,7 @@ compiled (hooks would break the graph) and everything is gated by the
 """
 
 import os
+from typing import Optional, TypedDict
 
 import torch
 
@@ -28,9 +29,23 @@ from modules import paths, shared, script_callbacks
 from modules.logger import log
 
 
+class CaptureRecord(TypedDict):
+    m: torch.nn.Module
+    ss: Optional[torch.Tensor]
+    n: int
+    done: bool
+
+
+class CaptureState(TypedDict):
+    model: Optional[str]
+    recs: dict[str, CaptureRecord]
+    handles: list[torch.utils.hooks.RemovableHandle]
+    complete: bool
+
+
 TOKENS_DONE = 65536
 calib_root = os.path.join(paths.models_path, 'calibration')
-capture = {'model': None, 'recs': {}, 'handles': [], 'complete': False}
+capture: CaptureState = {'model': None, 'recs': {}, 'handles': [], 'complete': False}
 
 
 def enabled():