fix lut

Co-authored-by: Copilot <copilot@github.com>
Signed-off-by: Vladimir Mandic <mandic00@live.com>

CHANGELOG.md

@@ -1,8 +1,8 @@
 # Change Log for SD.Next
 
-## Update for 2026-05-05
+## Update for 2026-05-07
 
-### Highlights for 2026-05-05
+### Highlights for 2026-05-07
 
 *What's New?*
 - Image editing models now can work with multiple image inputs!  
@@ -13,7 +13,7 @@ For full details, see [ChangeLog](https://github.com/vladmandic/automatic/blob/m
 
 [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) | [Sponsor](https://github.com/sponsors/vladmandic)  
 
-### Details for 2026-05-05
+### Details for 2026-05-07
 
 - **Features**
   - **Multi-image** workflows!
@@ -66,6 +66,9 @@ For full details, see [ChangeLog](https://github.com/vladmandic/automatic/blob/m
   - lora false deactivate
   - kandinsky-5 t2i/i2i workflows
   - progress do not timeout when paused
+  - faster server shutdown/restart, thanks @awsr
+  - `openvino` force offload none
+  - `lut` file handling
 
 ## Update for 2026-04-28
 

modules/processing_grading.py

@@ -181,10 +181,16 @@ def _apply_color_temp(img: torch.Tensor, kelvin: float) -> torch.Tensor:
 
 def _apply_lut(image: Image.Image, lut_cube_file: str, strength: float) -> Image.Image:
     """Apply .cube LUT file via pillow-lut-tools."""
-    if not lut_cube_file or not os.path.isfile(lut_cube_file):
+    if not lut_cube_file:
         return image
-    pillow_lut = _ensure_pillow_lut()
+    if hasattr(lut_cube_file, "name"):
+        lut_cube_file = lut_cube_file.name
+    if hasattr(lut_cube_file, "as_posix"):
+        lut_cube_file = lut_cube_file.as_posix()
     try:
+        if not os.path.isfile(lut_cube_file):
+            return image
+        pillow_lut = _ensure_pillow_lut()
         cube = pillow_lut.load_cube_file(lut_cube_file)
         if strength != 1.0:
             cube = pillow_lut.amplify_lut(cube, strength)