feat(api-nodes-Tencent3D): allow smaller possible face_count; add uv_image output

Signed-off-by: bigcat88 <bigcat88@icloud.com>

blueprints/.glsl/Color_Curves_8.frag

@@ -38,12 +38,9 @@ void main() {
     // GIMP order: per-channel curves first, then RGB master curve.
     // See gimp_curve_map_pixels() default case in gimpcurve-map.c:
     //   dest = colors_curve( channel_curve( src ) )
-    float tmp_r = applyCurve(u_curve1, color.r);
-    float tmp_g = applyCurve(u_curve2, color.g);
-    float tmp_b = applyCurve(u_curve3, color.b);
-    color.r = applyCurve(u_curve0, tmp_r);
-    color.g = applyCurve(u_curve0, tmp_g);
-    color.b = applyCurve(u_curve0, tmp_b);
+    color.r = applyCurve(u_curve0, applyCurve(u_curve1, color.r));
+    color.g = applyCurve(u_curve0, applyCurve(u_curve2, color.g));
+    color.b = applyCurve(u_curve0, applyCurve(u_curve3, color.b));
 
     fragColor0 = vec4(color.rgb, color.a);
 }

comfy_api_nodes/nodes_hunyuan3d.py

@@ -132,7 +132,7 @@ class TencentTextToModelNode(IO.ComfyNode):
                     tooltip="The LowPoly option is unavailable for the `3.1` model.",
                 ),
                 IO.String.Input("prompt", multiline=True, default="", tooltip="Supports up to 1024 characters."),
-                IO.Int.Input("face_count", default=500000, min=40000, max=1500000),
+                IO.Int.Input("face_count", default=500000, min=3000, max=1500000),
                 IO.DynamicCombo.Input(
                     "generate_type",
                     options=[
@@ -251,7 +251,7 @@ class TencentImageToModelNode(IO.ComfyNode):
                 IO.Image.Input("image_left", optional=True),
                 IO.Image.Input("image_right", optional=True),
                 IO.Image.Input("image_back", optional=True),
-                IO.Int.Input("face_count", default=500000, min=40000, max=1500000),
+                IO.Int.Input("face_count", default=500000, min=3000, max=1500000),
                 IO.DynamicCombo.Input(
                     "generate_type",
                     options=[
@@ -422,6 +422,7 @@ class TencentModelTo3DUVNode(IO.ComfyNode):
             outputs=[
                 IO.File3DOBJ.Output(display_name="OBJ"),
                 IO.File3DFBX.Output(display_name="FBX"),
+                IO.Image.Output(display_name="uv_image"),
             ],
             hidden=[
                 IO.Hidden.auth_token_comfy_org,
@@ -468,9 +469,16 @@ class TencentModelTo3DUVNode(IO.ComfyNode):
             response_model=To3DProTaskResultResponse,
             status_extractor=lambda r: r.Status,
         )
+        uv_image_file = get_file_from_response(result.ResultFile3Ds, "uv_image", raise_if_not_found=False)
+        uv_image = (
+            await download_url_to_image_tensor(uv_image_file.Url)
+            if uv_image_file is not None
+            else torch.zeros(1, 1, 1, 3)
+        )
         return IO.NodeOutput(
             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"),
+            uv_image,
         )