diff --git a/api/core/model_runtime/model_providers/google/llm/llm.py b/api/core/model_runtime/model_providers/google/llm/llm.py
index 5a674fdeee..2dfde70816 100644
--- a/api/core/model_runtime/model_providers/google/llm/llm.py
+++ b/api/core/model_runtime/model_providers/google/llm/llm.py
@@ -1,18 +1,22 @@
+import base64
 import json
 import logging
+import mimetypes
 from collections.abc import Generator
-from typing import Optional, Union
+from typing import Optional, Union, cast
 
 import google.ai.generativelanguage as glm
 import google.api_core.exceptions as exceptions
 import google.generativeai as genai
 import google.generativeai.client as client
+import requests
 from google.generativeai.types import ContentType, GenerateContentResponse, HarmBlockThreshold, HarmCategory
 from google.generativeai.types.content_types import to_part
 
 from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
 from core.model_runtime.entities.message_entities import (
     AssistantPromptMessage,
+    ImagePromptMessageContent,
     PromptMessage,
     PromptMessageContentType,
     PromptMessageTool,
@@ -361,11 +365,22 @@ class GoogleLargeLanguageModel(LargeLanguageModel):
                 for c in message.content:
                     if c.type == PromptMessageContentType.TEXT:
                         glm_content['parts'].append(to_part(c.data))
-                    else:
-                        metadata, data = c.data.split(',', 1)
-                        mime_type = metadata.split(';', 1)[0].split(':')[1]
-                        blob = {"inline_data":{"mime_type":mime_type,"data":data}}
+                    elif c.type == PromptMessageContentType.IMAGE:
+                        message_content = cast(ImagePromptMessageContent, c)
+                        if message_content.data.startswith("data:"):
+                            metadata, base64_data = c.data.split(',', 1)
+                            mime_type = metadata.split(';', 1)[0].split(':')[1]
+                        else:
+                            # fetch image data from url
+                            try:
+                                image_content = requests.get(message_content.data).content
+                                mime_type, _ = mimetypes.guess_type(message_content.data)
+                                base64_data = base64.b64encode(image_content).decode('utf-8')
+                            except Exception as ex:
+                                raise ValueError(f"Failed to fetch image data from url {message_content.data}, {ex}")
+                        blob = {"inline_data":{"mime_type":mime_type,"data":base64_data}}
                         glm_content['parts'].append(blob)
+
             return glm_content
         elif isinstance(message, AssistantPromptMessage):
             glm_content = {
@@ -444,4 +459,4 @@ class GoogleLargeLanguageModel(LargeLanguageModel):
                 exceptions.RequestRangeNotSatisfiable,
                 exceptions.Cancelled,
             ]
-        }
\ No newline at end of file
+        }