Fix load latent compatibility with ComfyUI-saved latent files

ComfyUI saves latents under key 'latent_tensor', remap to 'samples'
so downstream nodes get the expected LATENT dict format.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

latent_node.py

@@ -77,11 +77,17 @@ class LoadLatentAbsolute:
     def load(self, path):
         path = os.path.expanduser(path)
 
-        samples = safetensors.torch.load_file(path, device="cpu")
+        raw = safetensors.torch.load_file(path, device="cpu")
 
         with safetensors.safe_open(path, framework="pt") as f:
             meta = f.metadata()
 
+        # ComfyUI's built-in save latent uses key "latent_tensor" → remap to "samples"
+        if "latent_tensor" in raw and "samples" not in raw:
+            raw["samples"] = raw.pop("latent_tensor")
+
+        samples = dict(raw)
+
         # Restore original devices
         if meta and "devices" in meta:
             devices = json.loads(meta["devices"])