diff --git a/conditioning.py b/conditioning.py
index 76ae368a..6093fdee 100644
--- a/conditioning.py
+++ b/conditioning.py
@@ -182,12 +182,19 @@ def latent_sample_type_name(latent):
     samples = latent.get("samples")
     if samples is None:
         return "missing samples"
-    return f"{type(samples).__module__}.{type(samples).__name__}"
+    shape = tuple(samples.shape) if isinstance(samples, torch.Tensor) else "unknown"
+    return f"{type(samples).__module__}.{type(samples).__name__}, shape={shape}"
 
 
 def latent_is_plain_video_tensor(latent):
     samples = latent_samples(latent)
-    return samples is not None and latent.get("type") != "audio"
+    if samples is None:
+        return False
+    if samples.dim() == 5:
+        return True
+    if samples.dim() == 4 and latent.get("type") != "audio":
+        return True
+    return False
 
 
 def cpu_tensor_bundle(latent):
diff --git a/docs/FunPackGemmaEmbeddingRefiner.md b/docs/FunPackGemmaEmbeddingRefiner.md
index cdc711dc..f7bfb043 100644
--- a/docs/FunPackGemmaEmbeddingRefiner.md
+++ b/docs/FunPackGemmaEmbeddingRefiner.md
@@ -68,6 +68,8 @@ For LTX audio/video workflows, the latent path must use video latents only:
 
 Do not connect the combined AV latent from `LTXVConcatAVLatent`, the sampler AV output, or the audio latent to this node. Those use LTX nested/audio latent structures and are intentionally rejected with a clear error.
 
+Some LTX separated video latents keep `type: audio` metadata even after `LTXVSeparateAVLatent`; the node accepts those when their `samples` tensor is the 5D video tensor shape.
+
 Latent refinement follows the connection state exactly:
 
 - If the latent input is disconnected and `refined_latent` is disconnected, latent tweaking is disabled.
diff --git a/docs/FunPackSaveRefinementLatent.md b/docs/FunPackSaveRefinementLatent.md
index c3506309..84c01a49 100644
--- a/docs/FunPackSaveRefinementLatent.md
+++ b/docs/FunPackSaveRefinementLatent.md
@@ -20,4 +20,4 @@ This node saves a latent tensor bundle under a refinement key so `FunPack Video
 
 The saved latent lives in FunPack's local `refinements` folder as a PyTorch tensor file. The refiner only uses it when both the key and mode match and the `refined_latent` output is connected. If the refiner receives a latent and no saved reference exists, it saves the incoming latent automatically. Zero-valued latent positions are treated as intentional and are not refined.
 
-Audio latents and LTX audio/video combined `NestedTensor` latents are intentionally rejected. Use only the video latent side, then reconnect the refined result to `LTXVConcatAVLatent` as `video_latent`.
+Audio latents and LTX audio/video combined `NestedTensor` latents are intentionally rejected. Use only the video latent side, then reconnect the refined result to `LTXVConcatAVLatent` as `video_latent`. If a separated LTX video latent still reports `type: audio`, it is accepted when its `samples` tensor has the 5D video latent shape.