feat: GPT Image节点改为9个独立参考图输入，异步节点优化轮询与响应兼容

- gpt_image: 移除单个图片输入，改为参考图1~参考图9独立输入，支持多批次合并
- async: 调试日志默认关闭，轮询间隔降至2s，兼容image_url响应格式

Co-Authored-By: Claude Opus 4.6 <[email protected]>

nodes/gpt_image.py

@@ -33,24 +33,22 @@ class O1keyGPTImage:
 
     @classmethod
     def INPUT_TYPES(cls):
-        return {
-            "required": {
-                "prompt": ("STRING", {
-                    "default": "",
-                    "multiline": True,
-                    "tooltip": "Text prompt for GPT Image. Use --- on its own line to separate batch prompts.",
-                }),
-            },
-            "optional": {
-                "模型": ([
+        # 创建9个独立的参考图输入
+        optional_inputs = {}
+        for i in range(1, 10):
+            optional_inputs[f"参考图{i}"] = ("IMAGE", {
+                "tooltip": f"Optional reference image {i} for image editing.",
+            })
+
+        optional_inputs["模型"] = ([
             "gpt-image-2",
             "gpt-image-1.5",
             "gpt-image-2-特价",
             "gpt-image-1.5-特价",
         ], {
             "default": "gpt-image-2",
-                }),
-                "分辨率": ([
+        })
+        optional_inputs["分辨率"] = ([
             "auto（默认）",
             "1024x1024（正方形）",
             "1536x1024（景观）",
@@ -62,16 +60,16 @@ class O1keyGPTImage:
         ], {
             "default": "auto（默认）",
             "tooltip": "Image size (auto = API decides)",
-                }),
-                "生图数量": ("INT", {
+        })
+        optional_inputs["生图数量"] = ("INT", {
             "default": 1,
             "min": 1,
             "max": 8,
             "step": 1,
             "display": "number",
             "tooltip": "How many images to generate per prompt",
-                }),
-                "seed": ("INT", {
+        })
+        optional_inputs["seed"] = ("INT", {
             "default": 0,
             "min": 0,
             "max": 2**31 - 1,
@@ -79,18 +77,24 @@ class O1keyGPTImage:
             "display": "number",
             "control_after_generate": True,
             "tooltip": "Random seed (0 = not specified)",
-                }),
-                "质量": (["高", "中", "低", "自动"], {
+        })
+        optional_inputs["质量"] = (["高", "中", "低", "自动"], {
             "default": "自动",
             "tooltip": "Image quality: 高=high, 中=medium, 低=low, 自动=auto",
-                }),
-                "图片": ("IMAGE", {
-                    "tooltip": "Optional reference image for image editing.",
-                }),
-                "遮罩": ("MASK", {
+        })
+        optional_inputs["遮罩"] = ("MASK", {
             "tooltip": "Optional mask for inpainting (white areas will be replaced)",
+        })
+
+        return {
+            "required": {
+                "prompt": ("STRING", {
+                    "default": "",
+                    "multiline": True,
+                    "tooltip": "Text prompt for GPT Image. Use --- on its own line to separate batch prompts.",
                 }),
             },
+            "optional": optional_inputs,
         }
 
     RETURN_TYPES = ("IMAGE",)
@@ -107,8 +111,8 @@ class O1keyGPTImage:
         质量: str = "自动",
         生图数量: int = 1,
         seed: int = 0,
-        图片=None,
         遮罩=None,
+        **kwargs,
     ):
         """
         生成图像（文生图 / 图生图 / 图像编辑 / 批量提示词）
@@ -121,6 +125,18 @@ class O1keyGPTImage:
         """
         start_time = time.time()
 
+        # ── 0. 收集多参考图输入 ────────────────────────────────────────────────
+        reference_tensors = []
+        for i in range(1, 10):
+            key = f"参考图{i}"
+            if key in kwargs and kwargs[key] is not None:
+                reference_tensors.append(kwargs[key])
+
+        if reference_tensors:
+            图片 = torch.cat(reference_tensors, dim=0)
+        else:
+            图片 = None
+
         # ── 1. 参数校验 ───────────────────────────────────────────────────────
         if 遮罩 is not None and 图片 is None:
             raise ValueError("提供了遮罩但未提供图片，请同时提供图片和遮罩")

nodes/nano_banana_pro_async.py

@@ -45,11 +45,11 @@ except ImportError:
     MEMORY_MONITOR_AVAILABLE = False
     print("⚠️ NanoBananaProAsync: psutil 不可用，内存监控功能禁用")
 
-DEBUG_LOG_ENABLED = True
-REQUEST_LOG_ENABLED = True
+DEBUG_LOG_ENABLED = False
+REQUEST_LOG_ENABLED = False
 
 _NODE = "Nano Banana Pro（异步）"
-_POLL_INTERVAL = 4  # 轮询间隔（秒）
+_POLL_INTERVAL = 2  # 轮询间隔（秒）
 _MAX_WAIT_TIME = 300  # 最大等待时间（秒）
 
 
@@ -310,6 +310,20 @@ class NanoBananaProAsync:
 
             response_data = await self._poll_task_async(session=session, task_id=task_id)
 
+            # 兼容两种响应格式：
+            # 1. 异步接口直接返回 image_url：{"image_url": "https://..."}
+            # 2. Gemini 标准格式：{"candidates": [...]}
+            image_url = response_data.get("image_url", "") if isinstance(response_data, dict) else ""
+            if image_url:
+                from io import BytesIO
+                async with session.get(image_url) as img_resp:
+                    if img_resp.status == 200:
+                        img_bytes = await img_resp.read()
+                        img = Image.open(BytesIO(img_bytes))
+                        images_list = [img]
+                    else:
+                        raise RuntimeError(f"下载图片失败 ({img_resp.status}): {image_url}")
+            else:
                 images_list, _ = await self.client.parse_response_async(response_data, session=session)
 
             if save_to_disk: