fix: gate provider lookups to outputs cache and fix UI coercion

- Add `enable_providers` flag to BasicCache so only the outputs cache
  triggers external provider lookups/stores. The objects cache stores
  node class instances, not CacheEntry values, so provider calls were
  wasted round-trips that always missed.
- Remove `or {}` coercion on `result.ui` — an empty dict passes the
  `is not None` gate in execution.py and causes KeyError when the
  history builder indexes `["output"]` and `["meta"]`. Preserving
  `None` correctly skips the ui_node_outputs addition.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

comfy_api_nodes/nodes_hunyuan3d.py

@@ -1,7 +1,3 @@
-import zipfile
-from io import BytesIO
-
-import torch
 from typing_extensions import override
 
 from comfy_api.latest import IO, ComfyExtension, Input, Types
@@ -21,10 +17,7 @@ from comfy_api_nodes.apis.hunyuan3d import (
 )
 from comfy_api_nodes.util import (
     ApiEndpoint,
-    bytesio_to_image_tensor,
-    download_url_to_bytesio,
     download_url_to_file_3d,
-    download_url_to_image_tensor,
     downscale_image_tensor_by_max_side,
     poll_op,
     sync_op,
@@ -43,68 +36,6 @@ def _is_tencent_rate_limited(status: int, body: object) -> bool:
     )
 
 
-class ObjZipResult:
-    __slots__ = ("obj", "texture", "metallic", "normal", "roughness")
-
-    def __init__(
-        self,
-        obj: Types.File3D,
-        texture: Input.Image | None = None,
-        metallic: Input.Image | None = None,
-        normal: Input.Image | None = None,
-        roughness: Input.Image | None = None,
-    ):
-        self.obj = obj
-        self.texture = texture
-        self.metallic = metallic
-        self.normal = normal
-        self.roughness = roughness
-
-
-async def download_and_extract_obj_zip(url: str) -> ObjZipResult:
-    """The Tencent API returns OBJ results as ZIP archives containing the .obj mesh, and texture images.
-
-    When PBR is enabled, the ZIP may contain additional metallic, normal, and roughness maps
-    identified by their filename suffixes.
-    """
-    data = BytesIO()
-    await download_url_to_bytesio(url, data)
-    data.seek(0)
-    if not zipfile.is_zipfile(data):
-        data.seek(0)
-        return ObjZipResult(obj=Types.File3D(source=data, file_format="obj"))
-    data.seek(0)
-    obj_bytes = None
-    textures: dict[str, Input.Image] = {}
-    with zipfile.ZipFile(data) as zf:
-        for name in zf.namelist():
-            lower = name.lower()
-            if lower.endswith(".obj"):
-                obj_bytes = zf.read(name)
-            elif any(lower.endswith(ext) for ext in (".png", ".jpg", ".jpeg", ".bmp", ".tiff", ".webp")):
-                stem = lower.rsplit(".", 1)[0]
-                tensor = bytesio_to_image_tensor(BytesIO(zf.read(name)), mode="RGB")
-                matched_key = "texture"
-                for suffix, key in {
-                    "_metallic": "metallic",
-                    "_normal": "normal",
-                    "_roughness": "roughness",
-                }.items():
-                    if stem.endswith(suffix):
-                        matched_key = key
-                        break
-                textures[matched_key] = tensor
-    if obj_bytes is None:
-        raise ValueError("ZIP archive does not contain an OBJ file.")
-    return ObjZipResult(
-        obj=Types.File3D(source=BytesIO(obj_bytes), file_format="obj"),
-        texture=textures.get("texture"),
-        metallic=textures.get("metallic"),
-        normal=textures.get("normal"),
-        roughness=textures.get("roughness"),
-    )
-
-
 def get_file_from_response(
     response_objs: list[ResultFile3D], file_type: str, raise_if_not_found: bool = True
 ) -> ResultFile3D | None:
@@ -162,7 +93,6 @@ class TencentTextToModelNode(IO.ComfyNode):
                 IO.String.Output(display_name="model_file"),  # for backward compatibility only
                 IO.File3DGLB.Output(display_name="GLB"),
                 IO.File3DOBJ.Output(display_name="OBJ"),
-                IO.Image.Output(display_name="texture_image"),
             ],
             hidden=[
                 IO.Hidden.auth_token_comfy_org,
@@ -221,14 +151,14 @@ class TencentTextToModelNode(IO.ComfyNode):
             response_model=To3DProTaskResultResponse,
             status_extractor=lambda r: r.Status,
         )
-        obj_result = await download_and_extract_obj_zip(get_file_from_response(result.ResultFile3Ds, "obj").Url)
         return IO.NodeOutput(
             f"{task_id}.glb",
             await download_url_to_file_3d(
                 get_file_from_response(result.ResultFile3Ds, "glb").Url, "glb", task_id=task_id
             ),
-            obj_result.obj,
+            await download_url_to_file_3d(
-            obj_result.texture,
+                get_file_from_response(result.ResultFile3Ds, "obj").Url, "obj", task_id=task_id
+            ),
         )
 
 
@@ -281,10 +211,6 @@ class TencentImageToModelNode(IO.ComfyNode):
                 IO.String.Output(display_name="model_file"),  # for backward compatibility only
                 IO.File3DGLB.Output(display_name="GLB"),
                 IO.File3DOBJ.Output(display_name="OBJ"),
-                IO.Image.Output(display_name="texture_image"),
-                IO.Image.Output(display_name="optional_metallic"),
-                IO.Image.Output(display_name="optional_normal"),
-                IO.Image.Output(display_name="optional_roughness"),
             ],
             hidden=[
                 IO.Hidden.auth_token_comfy_org,
@@ -378,17 +304,14 @@ class TencentImageToModelNode(IO.ComfyNode):
             response_model=To3DProTaskResultResponse,
             status_extractor=lambda r: r.Status,
         )
-        obj_result = await download_and_extract_obj_zip(get_file_from_response(result.ResultFile3Ds, "obj").Url)
         return IO.NodeOutput(
             f"{task_id}.glb",
             await download_url_to_file_3d(
                 get_file_from_response(result.ResultFile3Ds, "glb").Url, "glb", task_id=task_id
             ),
-            obj_result.obj,
+            await download_url_to_file_3d(
-            obj_result.texture,
+                get_file_from_response(result.ResultFile3Ds, "obj").Url, "obj", task_id=task_id
-            obj_result.metallic if obj_result.metallic is not None else torch.zeros(1, 1, 1, 3),
+            ),
-            obj_result.normal if obj_result.normal is not None else torch.zeros(1, 1, 1, 3),
-            obj_result.roughness if obj_result.roughness is not None else torch.zeros(1, 1, 1, 3),
         )
 
 
@@ -508,8 +431,7 @@ class Tencent3DTextureEditNode(IO.ComfyNode):
             ],
             outputs=[
                 IO.File3DGLB.Output(display_name="GLB"),
-                IO.File3DOBJ.Output(display_name="OBJ"),
+                IO.File3DFBX.Output(display_name="FBX"),
-                IO.Image.Output(display_name="texture_image"),
             ],
             hidden=[
                 IO.Hidden.auth_token_comfy_org,
@@ -558,8 +480,7 @@ class Tencent3DTextureEditNode(IO.ComfyNode):
         )
         return IO.NodeOutput(
             await download_url_to_file_3d(get_file_from_response(result.ResultFile3Ds, "glb").Url, "glb"),
-            await download_url_to_file_3d(get_file_from_response(result.ResultFile3Ds, "obj").Url, "obj"),
+            await download_url_to_file_3d(get_file_from_response(result.ResultFile3Ds, "fbx").Url, "fbx"),
-            await download_url_to_image_tensor(get_file_from_response(result.ResultFile3Ds, "texture_image").Url),
         )
 
 
@@ -733,7 +654,7 @@ class TencentHunyuan3DExtension(ComfyExtension):
             TencentTextToModelNode,
             TencentImageToModelNode,
             TencentModelTo3DUVNode,
-            Tencent3DTextureEditNode,
+            # Tencent3DTextureEditNode,
             Tencent3DPartNode,
             TencentSmartTopologyNode,
         ]