diff --git a/comfy_extras/nodes_qwen.py b/comfy_extras/nodes_qwen.py
index ab21acf32..b5088fae2 100644
--- a/comfy_extras/nodes_qwen.py
+++ b/comfy_extras/nodes_qwen.py
@@ -1,3 +1,25 @@
+import node_helpers
+import comfy.utils
+
+PREFERRED_QWENIMAGE_RESOLUTIONS = [
+    (672, 1568),
+    (688, 1504),
+    (720, 1456),
+    (752, 1392),
+    (800, 1328),
+    (832, 1248),
+    (880, 1184),
+    (944, 1104),
+    (1024, 1024),
+    (1104, 944),
+    (1184, 880),
+    (1248, 832),
+    (1328, 800),
+    (1392, 752),
+    (1456, 720),
+    (1504, 688),
+    (1568, 672),
+]
 
 
 class TextEncodeQwenImageEdit:
@@ -7,19 +29,33 @@ class TextEncodeQwenImageEdit:
             "clip": ("CLIP", ),
             "prompt": ("STRING", {"multiline": True, "dynamicPrompts": True}),
             },
-            "optional": {"image": ("IMAGE", ),}}
+            "optional": {"vae": ("VAE", ),
+                         "image": ("IMAGE", ),}}
+
     RETURN_TYPES = ("CONDITIONING",)
     FUNCTION = "encode"
 
     CATEGORY = "advanced/conditioning"
 
-    def encode(self, clip, prompt, image=None):
+    def encode(self, clip, prompt, vae=None, image=None):
+        ref_latent = None
         if image is None:
             images = []
         else:
             images = [image]
+            if vae is not None:
+                width = image.shape[2]
+                height = image.shape[1]
+                aspect_ratio = width / height
+                _, width, height = min((abs(aspect_ratio - w / h), w, h) for w, h in PREFERRED_QWENIMAGE_RESOLUTIONS)
+                image = comfy.utils.common_upscale(image.movedim(-1, 1), width, height, "lanczos", "center").movedim(1, -1)
+                ref_latent = vae.encode(image[:, :, :, :3])
+
         tokens = clip.tokenize(prompt, images=images)
-        return (clip.encode_from_tokens_scheduled(tokens), )
+        conditioning = clip.encode_from_tokens_scheduled(tokens)
+        if ref_latent is not None:
+            conditioning = node_helpers.conditioning_set_values(conditioning, {"reference_latents": [ref_latent]}, append=True)
+        return (conditioning, )
 
 
 NODE_CLASS_MAPPINGS = {