From 2ba709540eecebcdfcd8faacca04600cee91f140 Mon Sep 17 00:00:00 2001
From: aimfordeb <133010426+aimfordeb@users.noreply.github.com>
Date: Thu, 23 Apr 2026 15:02:26 +0300
Subject: [PATCH] Fix LoRA suggestion clamp helper

---
 conditioning.py | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/conditioning.py b/conditioning.py
index eba2e1d0..f5587471 100644
--- a/conditioning.py
+++ b/conditioning.py
@@ -26,6 +26,11 @@ LORA_REFINER_TYPE_PROFILES = {
     "character": {"step": 0.024, "max_offset": 0.20, "bad_max_offset": 0.42},
 }
 
+
+def _clamp(value, low, high):
+    return max(low, min(high, value))
+
+
 def tensor_to_serializable(t: torch.Tensor) -> dict:
     if not isinstance(t, torch.Tensor):
         raise TypeError(f"Expected torch.Tensor, got {type(t)}")
@@ -37,7 +42,7 @@ def tensor_to_serializable(t: torch.Tensor) -> dict:
     }
 
 def serializable_to_tensor(d: dict) -> torch.Tensor:
-    arr = np.frombuffer(base64.b64decode(d["data"]), dtype=d["dtype"]).reshape(d["shape"])
+    arr = np.frombuffer(base64.b64decode(d["data"]), dtype=d["dtype"]).reshape(d["shape"]).copy()
     tensor = torch.from_numpy(arr).to(dtype=torch.float32)
     if torch.cuda.is_available():
         tensor = tensor.cuda()