diff --git a/comfy/text_encoders/ideogram4.py b/comfy/text_encoders/ideogram4.py
index 92d4d7901..5f50b26b5 100644
--- a/comfy/text_encoders/ideogram4.py
+++ b/comfy/text_encoders/ideogram4.py
@@ -32,14 +32,11 @@ class Ideogram4Tokenizer(sd1_clip.SD1Tokenizer):
                          name="qwen3vl_8b", tokenizer=Qwen3VLTokenizer)
 
         self.llama_template = "<|im_start|>user\n{}<|im_end|>\n<|im_start|>assistant\n"
-        self.llama_template_images = "<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>{}<|im_end|>\n<|im_start|>assistant\n"
 
-    def tokenize_with_weights(self, text, return_word_ids=False, llama_template=None, images=[], prevent_empty_text=False, **kwargs):
+    def tokenize_with_weights(self, text, return_word_ids=False, llama_template=None, prevent_empty_text=False, **kwargs):
         skip_template = False
         if text.startswith('<|im_start|>'):
             skip_template = True
-        if text.startswith('<|start_header_id|>'):
-            skip_template = True
         if prevent_empty_text and text == '':
             text = ' '
 
@@ -47,23 +44,11 @@ class Ideogram4Tokenizer(sd1_clip.SD1Tokenizer):
             llama_text = text
         else:
             if llama_template is None:
-                if len(images) > 0:
-                    llama_text = self.llama_template_images.format(text)
-                else:
-                    llama_text = self.llama_template.format(text)
+                llama_text = self.llama_template.format(text)
             else:
                 llama_text = llama_template.format(text)
 
         tokens = super().tokenize_with_weights(llama_text, return_word_ids=return_word_ids, disable_weights=True, **kwargs)
-        key_name = next(iter(tokens))
-        embed_count = 0
-        qwen_tokens = tokens[key_name]
-        for r in qwen_tokens:
-            for i in range(len(r)):
-                if r[i][0] == 151655:
-                    if len(images) > embed_count:
-                        r[i] = ({"type": "image", "data": images[embed_count], "original_type": "image"},) + r[i][1:]
-                        embed_count += 1
         return tokens