diff --git a/config.py b/config.py
index 54c7624..fb20c7c 100644
--- a/config.py
+++ b/config.py
@@ -1,5 +1,6 @@
 import logging
 from pathlib import Path
+from contextvars import ContextVar
 
 # --- Project Root ---
 # Get the directory where config.py is located
@@ -8,6 +9,7 @@ ROOT_DIR = Path(__file__).parent.resolve()
 # --- Server & Logs ---
 HOST = "127.0.0.1"
 PORT = 8000
+request_host = ContextVar("request_host", default=f"{HOST}:{PORT}")
 LOG_LEVEL = "WARNING" # Options: "DEBUG", "INFO", "WARNING", "ERROR"
 LOG_FILE = str(ROOT_DIR / "debug.log")
 USER_AGENT = "Mozilla/5.0 (X11; Linux x86_64; rv:151.0) Gecko/20100101 Firefox/151.0" # Stealth User-Agent to bypass Wikipedia's bot detection
diff --git a/main.py b/main.py
index b753470..2e44d29 100644
--- a/main.py
+++ b/main.py
@@ -56,6 +56,10 @@ async def messages_endpoint(request):
     if not sid or sid not in mcp_logic.sessions:
         return Response("Session not found", status_code=404)
 
+    # Capture the host header to ensure image links work across the network
+    host_header = request.headers.get("host", f"{config.HOST}:{config.PORT}")
+    config.request_host.set(host_header)
+
     try:
         body = await request.json()
     except Exception as e:
@@ -116,7 +120,8 @@ app.add_middleware(
 )
 
 if __name__ == "__main__":
-    config = uvicorn.Config(
+    # Use a separate variable for uvicorn config to avoid shadowing the config module
+    uvicorn_config = uvicorn.Config(
         app=app, 
         host=config.HOST, 
         port=config.PORT, 
@@ -124,7 +129,7 @@ if __name__ == "__main__":
         timeout_graceful_shutdown=2 # Reduced from 5 to 2 seconds
     )
 
-    server = uvicorn.Server(config)
+    server = uvicorn.Server(uvicorn_config)
     
     def signal_handler(sig, frame):
         logger.info("Shutdown signal received")
diff --git a/tools/generate_image.py b/tools/generate_image.py
index 6508370..9898dc1 100644
--- a/tools/generate_image.py
+++ b/tools/generate_image.py
@@ -106,7 +106,7 @@ async def handle(args: Dict[str, Any]) -> List[Dict[str, Any]]:
     res_cfg = load_toml(config.RES_PRESETS_PATH)
     
     if model_name not in models_cfg:
-        raise ToolError(f"Model '{model_name}' not found in presets. Available: {', '.join(models_cfg.keys())}")
+        raise ToolError(f"Model '{model_name}' not found in presets. Please call get_model_info to see available models and their correct names.")
     
     model_preset = models_cfg[model_name]
 
@@ -187,9 +187,9 @@ async def handle(args: Dict[str, Any]) -> List[Dict[str, Any]]:
             raise ToolError(f"Could not extract file path from SD URL: {sd_img_url}")
 
         # Construct proxy URL through our MCP server
-        # We strip leading slash from raw_path to avoid double slashes in the proxy URL if we want, 
-        # but the current endpoint handles it.
-        proxy_url = f"http://localhost:{config.PORT}/file{raw_path}"
+        # Use the captured request host to ensure links work across the network
+        host = config.request_host.get()
+        proxy_url = f"http://{host}/file{raw_path}"
         
         # Download the image and convert to base64 for the AI's vision
         img_resp = await asyncio.to_thread(requests.get, sd_img_url, timeout=30)