diff --git a/README.md b/README.md
index ac63111..c2ee7af 100644
--- a/README.md
+++ b/README.md
@@ -21,7 +21,7 @@
    │  └──────────────────────────────────┘ │
    └───────────────┬──────────────────────┘
                    │
-        image · mask · filename · index · total
+   image · mask · filename · index · total · file_path
 ```
 
 Drop the node on the canvas, point it at a folder, wire **image** (and **mask** if you need it) into your graph, and Queue. Each Queue loads the next image; when it reaches the end it loops back to the start. That's the whole idea.
@@ -98,6 +98,7 @@ While a hold is active, the other buttons grey out; **▶ Resume** restores the
 | `filename` | STRING | basename of the loaded file |
 | `index` | INT | 0-based position used this run |
 | `total` | INT | number of matching files found |
+| `file_path` | STRING | absolute path of the loaded file (e.g. `C:\frames\frame_003.png`) |
 
 ## How "advance per Queue" works
 
diff --git a/pyproject.toml b/pyproject.toml
index 5d8020c..9c2c035 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,7 +1,7 @@
 [project]
 name = "sequential-image-loader"
 description = "Load a folder of images one at a time, in order — a fresh image on every Queue press. A paced, single-image folder sequencer for batch-processing frames or photos through any ComfyUI workflow."
-version = "1.3.0"
+version = "1.4.0"
 license = { file = "LICENSE" }
 readme = "README.md"
 dependencies = []
diff --git a/sequential_loader.py b/sequential_loader.py
index a2fde12..1492202 100644
--- a/sequential_loader.py
+++ b/sequential_loader.py
@@ -138,8 +138,10 @@ class SequentialImageLoader:
             }
         }
 
-    RETURN_TYPES = ("IMAGE", "MASK", "STRING", "INT", "INT")
-    RETURN_NAMES = ("image", "mask", "filename", "index", "total")
+    # file_path is declared last (newest output) so links in older saved
+    # workflows keep their slot positions.
+    RETURN_TYPES = ("IMAGE", "MASK", "STRING", "INT", "INT", "STRING")
+    RETURN_NAMES = ("image", "mask", "filename", "index", "total", "file_path")
     FUNCTION = "load"
     CATEGORY = "image"
 
@@ -162,7 +164,7 @@ class SequentialImageLoader:
             )
 
         pos = int(index) % total           # wrap around at the end
-        path = files[pos]
+        path = os.path.abspath(files[pos])
         filename = os.path.basename(path)
 
         image, mask = _load_image_tensors(path)
@@ -174,7 +176,7 @@ class SequentialImageLoader:
                 "index": pos,
                 "total": total,
             }]},
-            "result": (image, mask, filename, pos, total),
+            "result": (image, mask, filename, pos, total, path),
         }