1.41.7 (#9264)

Patch version increment to 1.41.7

**Base branch:** `main`

┆Issue is synchronized with this [Notion
page](https://www.notion.so/PR-9264-1-41-7-3146d73d36508108a0d1c3e418216cd0)
by [Unito](https://www.unito.io)

---------

Co-authored-by: christian-byrne <72887196+christian-byrne@users.noreply.github.com>
Co-authored-by: github-actions <github-actions@github.com>

src/locales/zh/nodeDefs.json

@@ -2137,6 +2137,35 @@
       }
     }
   },
+  "CropByBBoxes": {
+    "description": "根据提供的边界框，从输入图像批量中裁剪并调整区域大小。",
+    "display_name": "CropByBBoxes",
+    "inputs": {
+      "bboxes": {
+        "name": "bboxes"
+      },
+      "image": {
+        "name": "image"
+      },
+      "output_height": {
+        "name": "output_height",
+        "tooltip": "每个裁剪区域调整后的高度。"
+      },
+      "output_width": {
+        "name": "output_width",
+        "tooltip": "每个裁剪区域调整后的宽度。"
+      },
+      "padding": {
+        "name": "padding",
+        "tooltip": "在裁剪前，每个边界框四周额外添加的像素填充。"
+      }
+    },
+    "outputs": {
+      "0": {
+        "tooltip": "所有裁剪区域堆叠为一个图像批量。"
+      }
+    }
+  },
   "CropMask": {
     "display_name": "裁剪遮罩",
     "inputs": {
@@ -3701,6 +3730,57 @@
       }
     }
   },
+  "GeminiNanoBanana2": {
+    "description": "通过 Google Vertex API 同步生成或编辑图像。",
+    "display_name": "Nano Banana 2",
+    "inputs": {
+      "aspect_ratio": {
+        "name": "宽高比",
+        "tooltip": "如果设置为“自动”，则匹配输入图像的宽高比；如果未提供图像，通常会生成 16:9 的正方形。"
+      },
+      "control_after_generate": {
+        "name": "生成后控制"
+      },
+      "files": {
+        "name": "文件",
+        "tooltip": "可选的文件，作为模型的上下文使用。可接受来自 Gemini 生成内容输入文件节点的输入。"
+      },
+      "images": {
+        "name": "图像",
+        "tooltip": "可选的参考图像。要包含多张图片，请使用批量图像节点（最多 14 张）。"
+      },
+      "model": {
+        "name": "模型"
+      },
+      "prompt": {
+        "name": "提示词",
+        "tooltip": "描述要生成图像或要应用编辑的文本提示。请包含模型应遵循的任何约束、风格或细节。"
+      },
+      "resolution": {
+        "name": "分辨率",
+        "tooltip": "目标输出分辨率。对于 2K/4K，使用原生 Gemini 超分辨率算法。"
+      },
+      "response_modalities": {
+        "name": "响应模式"
+      },
+      "seed": {
+        "name": "种子",
+        "tooltip": "当种子值固定时，模型会尽力为重复请求提供相同的响应，但不能保证输出完全一致。此外，更改模型或参数设置（如温度）即使使用相同的种子值，也可能导致响应不同。默认情况下使用随机种子值。"
+      },
+      "system_prompt": {
+        "name": "系统提示词",
+        "tooltip": "决定 AI 行为的基础性指令。"
+      },
+      "thinking_level": {
+        "name": "思考层级"
+      }
+    },
+    "outputs": {
+      "0": {
+        "tooltip": null
+      }
+    }
+  },
   "GeminiNode": {
     "description": "使用 Google 的 Gemini AI 模型生成文本响应。您可以提供多种类型的输入（文本、图像、音频、视频）作为上下文，以生成更相关和有意义的响应。",
     "display_name": "Google Gemini",
@@ -12978,6 +13058,90 @@
       }
     }
   },
+  "SDPoseDrawKeypoints": {
+    "display_name": "SDPoseDrawKeypoints",
+    "inputs": {
+      "draw_body": {
+        "name": "draw_body"
+      },
+      "draw_face": {
+        "name": "draw_face"
+      },
+      "draw_feet": {
+        "name": "draw_feet"
+      },
+      "draw_hands": {
+        "name": "draw_hands"
+      },
+      "face_point_size": {
+        "name": "face_point_size"
+      },
+      "keypoints": {
+        "name": "keypoints"
+      },
+      "score_threshold": {
+        "name": "score_threshold"
+      },
+      "stick_width": {
+        "name": "stick_width"
+      }
+    },
+    "outputs": {
+      "0": {
+        "tooltip": null
+      }
+    }
+  },
+  "SDPoseFaceBBoxes": {
+    "display_name": "SDPoseFaceBBoxes",
+    "inputs": {
+      "force_square": {
+        "name": "force_square",
+        "tooltip": "扩展较短的边界框轴，使裁剪区域始终为正方形。"
+      },
+      "keypoints": {
+        "name": "keypoints"
+      },
+      "scale": {
+        "name": "scale",
+        "tooltip": "每个检测到的人脸边界框区域的缩放倍数。"
+      }
+    },
+    "outputs": {
+      "0": {
+        "name": "bboxes",
+        "tooltip": "每帧的人脸边界框，可与SDPoseKeypointExtractor的bboxes输入兼容。"
+      }
+    }
+  },
+  "SDPoseKeypointExtractor": {
+    "description": "使用SDPose模型从图像中提取姿态关键点：https://huggingface.co/Comfy-Org/SDPose/tree/main/checkpoints",
+    "display_name": "SDPoseKeypointExtractor",
+    "inputs": {
+      "batch_size": {
+        "name": "batch_size"
+      },
+      "bboxes": {
+        "name": "bboxes",
+        "tooltip": "可选的边界框，用于更精确的检测。多人检测时必需。"
+      },
+      "image": {
+        "name": "image"
+      },
+      "model": {
+        "name": "model"
+      },
+      "vae": {
+        "name": "vae"
+      }
+    },
+    "outputs": {
+      "0": {
+        "name": "keypoints",
+        "tooltip": "OpenPose帧格式的关键点（canvas_width, canvas_height, people）"
+      }
+    }
+  },
   "SDTurboScheduler": {
     "display_name": "SDTurbo调度器",
     "inputs": {