LoadCustomMesh

nodes.py

@@ -3,6 +3,7 @@ import torch
 from PIL import Image
 from pathlib import Path
 import numpy as np
+import trimesh
 
 from .hy3dgen.shapegen import Hunyuan3DDiTFlowMatchingPipeline, FaceReducer, FloaterRemover, DegenerateFaceRemover
 
@@ -138,6 +139,28 @@ class DownloadAndLoadHy3DDelightModel:
         
         return (delight_pipe,)
 
+class LoadCustomMesh:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "glb": ("STRING", {"default": "", "tooltip": "The glb path with mesh to load. Tested only for now with other hunyuan3d-2 glbs"}), 
+            }
+        }
+    RETURN_TYPES = ("HY3DMESH",)
+    RETURN_NAMES = ("mesh",)
+    OUTPUT_TOOLTIPS = ("The glb model with mesh to texturize.",)
+    
+    FUNCTION = "main"
+    CATEGORY = "Hunyuan3DWrapper"
+    DESCRIPTION = "Encodes a text prompt using a CLIP model into an embedding that can be used to guide the diffusion model towards generating specific images."
+
+    def main(self, glb):
+        
+        mesh = trimesh.load(glb, force="mesh")
+        
+        return (mesh,)
+        
 class Hy3DDelightImage:
     @classmethod
     def INPUT_TYPES(s):