diff --git a/node_db/new/custom-node-list.json b/node_db/new/custom-node-list.json
index 3ae2d91b..413d5263 100644
--- a/node_db/new/custom-node-list.json
+++ b/node_db/new/custom-node-list.json
@@ -10,6 +10,16 @@
         },
 
 
+        {
+            "author": "chaojie",
+            "title": "ComfyUI-EasyAnimate",
+            "reference": "https://github.com/chaojie/ComfyUI-EasyAnimate",
+            "files": [
+                "https://github.com/chaojie/ComfyUI-EasyAnimate"
+            ],
+            "install_type": "git-clone",
+            "description": "ComfyUI-EasyAnimate"
+        },
         {
             "author": "hay86",
             "title": "ComfyUI DDColor",
@@ -679,26 +689,6 @@
             ],
             "install_type": "git-clone",
             "description": "Several utility nodes for use with ComfyUI."
-        },
-        {
-            "author": "Hangover3832",
-            "title": "Recognize Anything Model (RAM) for ComfyUI",
-            "reference": "https://github.com/Hangover3832/ComfyUI-Hangover-Recognize_Anything",
-            "files": [
-                "https://github.com/Hangover3832/ComfyUI-Hangover-Recognize_Anything"
-            ],
-            "install_type": "git-clone",
-            "description": "This is an image recognition node for ComfyUI based on the RAM++ model from [a/xinyu1205](https://huggingface.co/xinyu1205).\nThis node outputs a string of tags with all the recognized objects and elements in the image in English or Chinese language.\nFor image tagging and captioning."
-        },
-        {
-            "author": "ParisNeo",
-            "title": "lollms_nodes_suite",
-            "reference": "https://github.com/ParisNeo/lollms_nodes_suite",
-            "files": [
-                "https://github.com/ParisNeo/lollms_nodes_suite"
-            ],
-            "install_type": "git-clone",
-            "description": "lollms_nodes_suite is a set of nodes for comfyui that harnesses the power of lollms, a state-of-the-art AI text generation tool, to improve the quality of image generation."
         }
     ]
 }