diff --git a/CHANGELOG.md b/CHANGELOG.md
index 99d0d0337..295279932 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,8 +1,8 @@
 # Change Log for SD.Next
 
-## Update for 2026-03-24
+## Update for 2026-03-25
 
-### Highlights for 2026-03-4
+### Highlights for 2026-03-25
 
 This release brings massive code refactoring to modernize codebase and removal of some obsolete features. Leaner & Faster!  
 And since its a bit quieter period when it comes to new models, notable additions would be : *FireRed-Image-Edit* *SkyWorks-UniPic-3* and new *Anima-Preview*  
@@ -18,7 +18,7 @@ But also many smaller quality-of-life improvements - for full details, see [Chan
 
 [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 2026-03-24
+### Details for 2026-03-25
 
 - **Models**
   - [Google Flash 3.1 Image](https://ai.google.dev/gemini-api/docs/models/gemini-3-flash-preview) a.k.a. *Nano Banana 2*  
@@ -69,6 +69,9 @@ But also many smaller quality-of-life improvements - for full details, see [Chan
   - **Cuda** `torch==2.10` removed support for `rtx1000` series and older GPUs  
     use following before first startup to force installation of `torch==2.9.1` with `cuda==12.6`:  
     > `set TORCH_COMMAND='torch==2.9.1 torchvision==0.24.1 torchaudio==2.9.1 --index-url https://download.pytorch.org/whl/cu126'`  
+  - **Ipex** update to `torch==2.11`  
+  - **ROCm/Linux** update to `torch==2.11` with `rocm==7.2`  
+  - **OpenVINO** update to `torch==2.11` and `openvino==2026.0`
 - **UI**
   - legacy panels **T2I** and **I2I** are disabled by default  
     you can re-enable them in *settings -> ui -> hide legacy tabs*  
@@ -168,7 +171,9 @@ But also many smaller quality-of-life improvements - for full details, see [Chan
   - improve video generation progress tracking
   - handle startup with bad `scripts` more gracefully  
   - thread-safety for `error-limiter`, thanks @awsr  
-  - add `lora` support for flux2-klein
+  - add `lora` support for flux2-klein  
+  - fix `lora` change when used with `sdnq`  
+  - multiple `sdnq` fixes  
 
 ## Update for 2026-02-04
 
diff --git a/TODO.md b/TODO.md
index de3b0ef9f..3468c97f5 100644
--- a/TODO.md
+++ b/TODO.md
@@ -7,6 +7,7 @@
 - Add notes: **Enso**
 - Tips: **Color Grading**
 - Regen: **Localization**
+- AGENTS.md
 
 ## Internal
 
@@ -20,6 +21,7 @@
 - Engine: `TensorRT` acceleration
 - Feature: Auto handle scheduler `prediction_type`
 - Feature: Cache models in memory
+- Feature: JSON image metadata
 - Validate: Control tab add overrides handling
 - Feature: Integrate natural language image search
   [ImageDB](https://github.com/vladmandic/imagedb)
@@ -28,7 +30,6 @@
 - Feature: Video tab add full API support
 - Refactor: Unify *huggingface* and *diffusers* model folders
 - Refactor: [GGUF](https://huggingface.co/docs/diffusers/main/en/quantization/gguf)
-- Refactor: move sampler options from settings to config
 - Reimplement `llama` remover for Kanvas, pending end-to-end review of `Kanvas`
 
 ## OnHold
@@ -55,6 +56,7 @@ TODO: Investigate which models are diffusers-compatible and prioritize!
 
 - [Chroma Zeta](https://huggingface.co/lodestones/Zeta-Chroma): Image and video generator for creative effects and professional filters
 - [Chroma Radiance](https://huggingface.co/lodestones/Chroma1-Radiance): Pixel-space model eliminating VAE artifacts for high visual fidelity
+- [Bria FIBO](https://huggingface.co/briaai/FIBO): Fully JSON based
 - [Liquid](https://github.com/FoundationVision/Liquid): Unified vision-language auto-regressive generation paradigm
 - [Lumina-DiMOO](https://huggingface.co/Alpha-VLLM/Lumina-DiMOO): Foundational multi-modal generation and understanding via discrete diffusion
 - [nVidia Cosmos-Predict-2.5](https://huggingface.co/nvidia/Cosmos-Predict2.5-2B): Physics-aware world foundation model for consistent scene prediction
@@ -113,8 +115,6 @@ TODO: Investigate which models are diffusers-compatible and prioritize!
 
 ### Not Planned
 
-- [Bria FIBO](https://huggingface.co/briaai/FIBO): Fully JSON based
-- [Bria FiboEdit](https://github.com/huggingface/diffusers/commit/d7a1c31f4f85bae5a9e01cdce49bd7346bd8ccd6): Fully JSON based
 - [LoRAdapter](https://github.com/CompVis/LoRAdapter): Not recently updated
 - [SD3 UltraEdit](https://github.com/HaozheZhao/UltraEdit): Based on SD3
 - [PowerPaint](https://github.com/open-mmlab/PowerPaint): Based on SD15
diff --git a/extensions-builtin/sdnext-modernui b/extensions-builtin/sdnext-modernui
index 9d584a1bd..e8374c5b5 160000
--- a/extensions-builtin/sdnext-modernui
+++ b/extensions-builtin/sdnext-modernui
@@ -1 +1 @@
-Subproject commit 9d584a1bdc0c2aca614aa0e1e34e4374c3aa779d
+Subproject commit e8374c5b5e2b97961cf6ca9fa72a90b0dea479aa
diff --git a/modules/image/metadata.py b/modules/image/metadata.py
index d0d3e52e9..64ec08c40 100644
--- a/modules/image/metadata.py
+++ b/modules/image/metadata.py
@@ -1,4 +1,5 @@
 import io
+import os
 import re
 import json
 import piexif
@@ -8,26 +9,24 @@ from modules.logger import log
 from modules.image.watermark import get_watermark
 
 
+debug = log.trace if os.environ.get("SD_METADATA_DEBUG", None) is not None else lambda *args, **kwargs: None
+
+
 def safe_decode_string(s: bytes):
-    remove_prefix = lambda text, prefix: text[len(prefix):] if text.startswith(prefix) else text # pylint: disable=unnecessary-lambda-assignment
+    remove_prefix = lambda text, prefix: text[len(prefix):] if text.startswith(prefix) else text  # pylint: disable=unnecessary-lambda-assignment
     s = remove_prefix(s, b'UNICODE')
     s = remove_prefix(s, b'ASCII')
     s = remove_prefix(s, b'\x00')
-    # Detect UTF-16LE: even length and every other byte (odd positions) is 0x00 in the first ~20 bytes
-    if len(s) >= 2 and len(s) % 2 == 0 and all(b == 0 for b in s[1:min(len(s), 20):2]):
-        try:
-            val = s.decode('utf-16-le', errors='strict')
-            val = re.sub(r'[\x00-\x09]', '', val).strip()
-            if val:
-                return val
-        except Exception:
-            pass
-    for encoding in ['utf-8', 'utf-16', 'utf-16-be', 'ascii', 'latin_1', 'cp1252', 'cp437']: # try different encodings
+    for encoding in ["utf-16-le", "utf-16-be", "utf-8", "utf-16", "ascii", "latin_1", "cp1252", "cp437"]: # try different encodings
         try:
+            if encoding == "utf-16-le":
+                if not (len(s) >= 2 and len(s) % 2 == 0 and all(b == 0 for b in s[1 : min(len(s), 20) : 2])): # not utf-16-le
+                    continue
             val = s.decode(encoding, errors="strict")
             val = re.sub(r'[\x00-\x09]', '', val).strip() # remove remaining special characters
             if len(val) == 0: # remove empty strings
                 val = None
+            debug(f'Metadata: decode="{val}" encoding="{encoding}"')
             return val
         except Exception:
             pass
@@ -68,6 +67,7 @@ def parse_comfy_metadata(data: dict):
     if len(workflow) > 0 or len(prompt) > 0:
         parsed = f'App: ComfyUI{workflow}{prompt}'
         log.info(f'Image metadata: {parsed}')
+        debug(f'Metadata: comfy="{parsed}"')
         return parsed
     return ''
 
@@ -90,6 +90,7 @@ def parse_invoke_metadata(data: dict):
     if len(metadata) > 0:
         parsed = f'App: InvokeAI{metadata}'
         log.info(f'Image metadata: {parsed}')
+        debug(f'Metadata: invoke="{parsed}"')
         return parsed
     return ''
 
@@ -101,9 +102,25 @@ def parse_novelai_metadata(data: dict):
             dct = json.loads(data["Comment"])
             sampler = sd_samplers.samplers_map.get(dct["sampler"], "Euler a")
             geninfo = f'{data["Description"]} Negative prompt: {dct["uc"]} Steps: {dct["steps"]}, Sampler: {sampler}, CFG scale: {dct["scale"]}, Seed: {dct["seed"]}, Clip skip: 2, ENSD: 31337'
+            debug(f'Metadata: novelai="{geninfo}"')
+            return geninfo
         except Exception:
             pass
-    return geninfo
+    return ''
+
+
+def parse_xmp_metadata(data: dict):
+    # Extract XMP dc:subject tags into a readable field
+    geninfo = ''
+    xmp_raw = data.get("xmp")
+    if xmp_raw and isinstance(xmp_raw, (str, bytes)):
+        xmp_str = xmp_raw if isinstance(xmp_raw, str) else xmp_raw.decode("utf-8", errors="replace")
+        xmp_tags = re.findall(r"<rdf:li>([^<]+)</rdf:li>", xmp_str)
+        if xmp_tags:
+            geninfo = f"XMP Tags: {', '.join(xmp_tags)}"
+            debug(f'Metadata: xmp="{geninfo}"')
+            return geninfo
+    return ''
 
 
 def read_info_from_image(image: Image.Image, watermark: bool = False) -> tuple[str, dict]:
@@ -131,6 +148,7 @@ def read_info_from_image(image: Image.Image, watermark: bool = False) -> tuple[s
             log.error(f'Error loading EXIF data: {e}')
             exif = {}
         for _key, subkey in exif.items():
+            debug(f'Metadata EXIF: key="{_key}" subkey="{subkey}" type="{type(subkey)}"')
             if isinstance(subkey, dict):
                 for key, val in subkey.items():
                     if isinstance(val, bytes): # decode bytestring
@@ -145,27 +163,23 @@ def read_info_from_image(image: Image.Image, watermark: bool = False) -> tuple[s
                             items[ExifTags.TAGS[key]] = val
                     elif val is not None and key in ExifTags.GPSTAGS:
                         items[ExifTags.GPSTAGS[key]] = val
+
     if watermark:
         wm = get_watermark(image)
         if wm != '':
+            debug(f'Metadata: watermark="{wm}"')
             # geninfo += f' Watermark: {wm}'
             items['watermark'] = wm
 
     for key, val in items.items():
         if isinstance(val, bytes): # decode bytestring
             items[key] = safe_decode_string(val)
+            debug(f'Metadata: key="{key}" value="{items[key]}"')
 
     geninfo += parse_comfy_metadata(items)
     geninfo += parse_invoke_metadata(items)
     geninfo += parse_novelai_metadata(items)
-
-    # Extract XMP dc:subject tags into a readable field
-    xmp_raw = items.get('xmp')
-    if xmp_raw and isinstance(xmp_raw, (str, bytes)):
-        xmp_str = xmp_raw if isinstance(xmp_raw, str) else xmp_raw.decode('utf-8', errors='replace')
-        xmp_tags = re.findall(r'<rdf:li>([^<]+)</rdf:li>', xmp_str)
-        if xmp_tags:
-            items['xmp_tags'] = ', '.join(xmp_tags)
+    geninfo += parse_xmp_metadata(items)
 
     for key in ['exif', 'ExifOffset', 'JpegIFOffset', 'JpegIFByteCount', 'ExifVersion', 'icc_profile', 'jfif', 'jfif_version', 'jfif_unit', 'jfif_density', 'adobe', 'photoshop', 'loop', 'duration', 'dpi', 'xmp']: # remove unwanted tags
         items.pop(key, None)
@@ -177,6 +191,8 @@ def read_info_from_image(image: Image.Image, watermark: bool = False) -> tuple[s
     except Exception:
         pass
 
+    debug(f'Metadata geninfoi: "{geninfo}"')
+    debug(f'Metadata items: "{items}"')
     return geninfo, items
 
 
diff --git a/wiki b/wiki
index 99f4e13d0..7abb07dc9 160000
--- a/wiki
+++ b/wiki
@@ -1 +1 @@
-Subproject commit 99f4e13d03191b5269b869c71283d7fcf9c98f60
+Subproject commit 7abb07dc95bdb2c1869e2901213f5c82b46905c3