diff --git a/CHANGELOG.md b/CHANGELOG.md
index c9842d044..77239cf56 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -6,7 +6,7 @@
 
 Service-pack update with number of fixes and quality-of-life improvements  
 Plus few new models: **Krea 2**, **Boogu**, **Photoroom PRXPixel**, **FLUX.2 Klein KV** and some new community models  
-And **SDNQ** improvements: now with *NPU* support and its own native *attention* kernels!  
+And **SDNQ** improvements: now with *NPU* support and its own native *attention* kernels (try it, you may get a nice free performance boost)!  
 Also couple of *experimental* features: see below for details...  
 
 [Home](https://vladmandic.github.io/sdnext/) | [ChangeLog](https://github.com/vladmandic/automatic/blob/master/CHANGELOG.md) | [Docs](https://vladmandic.github.io/sdnext-docs/) | [Discord](https://discord.com/invite/sd-next-federal-batch-inspectors-1101998836328697867) | [Sponsor](https://github.com/sponsors/vladmandic)  
@@ -66,8 +66,9 @@ Also couple of *experimental* features: see below for details...
     *note*: pruna options compatibility varies greatly depending on platform, gpu, torch and model used  
     *note*: some pruna options may require additional packages to be installed  
 - **Fixes**
-  - anima: simplify loader
   - amd: hipBLASLt improved detection, thanks @0xDELUXA
+  - anima: simplify loader
+  - anima: vae postprocessing with batch size
   - api: add missing endpoint registration
   - api: openapi schema exposure
   - api: stricter api request and response schemas
@@ -76,6 +77,9 @@ Also couple of *experimental* features: see below for details...
   - extensions: handle extension without remote
   - huggingface: strip corrupt headers on download
   - insightface: missing dependencies
+  - installer: double-restart on diffusers/transformers upgrade
+  - krea2: base defaults to guidance 4.5 instead of 1.0
+  - krea2: load custom transformers that omit the dormant residual layers
   - live preview: configurable pause when not in focus, thanks @Artheriax
   - log: strip ansi sequences from ring buffer and client side logging
   - lora: cache state_dict between load attempts
@@ -90,17 +94,14 @@ Also couple of *experimental* features: see below for details...
   - pulid: import paths
   - python: experimental/ignore version checks
   - sdnq: warn instead of error for `triton`
-  - ui debounce aspect-ratio linked width/height controls
-  - ui: networks details scrollbars
-  - vae: scale factor improved detection
-  - text-encode: restore hijack on pipeline switch
-  - vae: restore hijack on pipeline switch
   - startup: faster model storage checks
-  - installer: double-restart on diffusers/transformers upgrade
-  - krea2: load custom transformers that omit the dormant residual layers
-  - krea2: base defaults to guidance 4.5 instead of 1.0
   - text encoder: load non-t5 single-file overrides as their actual class and quantize under sdnq
   - text encoder: reload on override change, reset when base model is incompatible
+  - text-encode: restore hijack on pipeline switch
+  - ui debounce aspect-ratio linked width/height controls
+  - ui: networks details scrollbars
+  - vae: restore hijack on pipeline switch
+  - vae: scale factor improved detection
 
 ## Update for 2026-06-16
 
diff --git a/modules/processing_vae.py b/modules/processing_vae.py
index 602bf6025..84e4b79d1 100644
--- a/modules/processing_vae.py
+++ b/modules/processing_vae.py
@@ -246,11 +246,15 @@ def vae_postprocess(tensor, model, output_type='np'):
             if hasattr(model, 'video_processor'):
                 if tensor.ndim == 6 and tensor.shape[1] == 1:
                     tensor = tensor.squeeze(0)
+                if tensor.ndim == 4 and tensor.shape[1] == 3:
+                    tensor = tensor.unsqueeze(2)
                 try:
                     images = model.video_processor.postprocess_video(tensor, output_type='pil')
                 except Exception as e:
-                    log.warning(f'VAE postprocess: type=video {e}')
+                    log.warning(f'VAE postprocess: type=video tensor={tensor.shape}:{tensor.device}:{tensor.dtype} error={e}')
                     images = tensor
+                    if debug:
+                        errors.display(e, 'VAE postprocess video')
                 if isinstance(images, list) and len(images) > 0 and isinstance(images[0], list):
                     images = [frame for batch in images for frame in batch]
             elif hasattr(model, 'image_processor'):
@@ -259,8 +263,10 @@ def vae_postprocess(tensor, model, output_type='np'):
                 try:
                     images = model.image_processor.postprocess(tensor, output_type=output_type)
                 except Exception as e:
-                    log.warning(f'VAE postprocess: type=image {e}')
+                    log.warning(f'VAE postprocess: type=image tensor={tensor.shape}:{tensor.device}:{tensor.dtype} error={e}')
                     images = tensor
+                    if debug:
+                        errors.display(e, 'VAE postprocess image')
             elif hasattr(model, "vqgan"):
                 images = tensor.permute(0, 2, 3, 1).cpu().float().numpy()
                 if output_type == "pil":
diff --git a/pipelines/model_anima.py b/pipelines/model_anima.py
index a54d0e8df..917b8981c 100644
--- a/pipelines/model_anima.py
+++ b/pipelines/model_anima.py
@@ -150,7 +150,6 @@ def load_anima(checkpoint_info, diffusers_load_config=None):
         **load_args,
     )
 
-    # generic.load_vae_override(pipe, diffusers_load_config, override_cls=diffusers.AutoencoderKLQwenImage, override_args={'low_cpu_mem_usage': False, 'ignore_mismatched_sizes': True})
     generic.load_vae_override(pipe, diffusers_load_config)
 
     del text_encoder
diff --git a/wiki b/wiki
index 84ac82182..12a64690c 160000
--- a/wiki
+++ b/wiki
@@ -1 +1 @@
-Subproject commit 84ac82182e6cfdfe3774b9fbc3ee0cc08eedfe83
+Subproject commit 12a64690cea3ca28143a6d01486f85197c0dd07b