fix bug

nodes/multi_image2image.py

@@ -113,26 +113,42 @@ class KLingAIMultiImage2Image:
     def image_to_base64(self, image):
         """将ComfyUI图像转换为base64字符串（与image_generation.py保持一致）"""
         if image is None:
+            print("图像输入为None")
             return None
             
         try:
+            print(f"输入图像类型: {type(image)}")
+            if hasattr(image, 'shape'):
+                print(f"输入图像形状: {image.shape}")
+            
             # 处理tensor格式的图像
             if isinstance(image, torch.Tensor):
                 pil_image = self.tensor_to_pil(image)
                 if pil_image is None:
+                    print("tensor_to_pil返回None")
                     return None
+                print(f"PIL图像尺寸: {pil_image.size}")
+                print(f"PIL图像模式: {pil_image.mode}")
             else:
                 # 原来的处理方法 (已不再使用，保留以防万一)
                 img = Image.fromarray((image[0] * 255).astype('uint8'), 'RGB')
                 pil_image = img
+                print(f"备用方法PIL图像尺寸: {pil_image.size}")
                 
             # 转换为base64
             buffered = io.BytesIO()
             pil_image.save(buffered, format="JPEG")
-            return base64.b64encode(buffered.getvalue()).decode("utf-8")
+            image_bytes = buffered.getvalue()
+            print(f"JPEG图像字节大小: {len(image_bytes)}")
+            
+            base64_result = base64.b64encode(image_bytes).decode("utf-8")
+            print(f"Base64结果长度: {len(base64_result)}")
+            return base64_result
             
         except Exception as e:
             print(f"图像转换base64错误: {str(e)}")
+            import traceback
+            traceback.print_exc()
             return None
 
     def download_and_convert_image(self, image_url, filename_prefix, output_dir, index=0):
@@ -193,6 +209,8 @@ class KLingAIMultiImage2Image:
             # 转换主体图片1为base64
             if subject_image1 is not None:
                 image1_base64 = self.image_to_base64(subject_image1)
+                print(f"主体图片1 Base64转换结果长度: {len(image1_base64) if image1_base64 else 0}")
+                print(f"主体图片1 Base64前50字符: {image1_base64[:50] if image1_base64 else 'None'}")
                 if not image1_base64:
                     raise ValueError("主体图片1转换为base64失败")
                 subject_image_list.append({"subject_image": image1_base64})
@@ -245,6 +263,8 @@ class KLingAIMultiImage2Image:
             # 处理场景参考图
             if scene_image is not None:
                 scene_base64 = self.image_to_base64(scene_image)
+                print(f"场景图片 Base64转换结果长度: {len(scene_base64) if scene_base64 else 0}")
+                print(f"场景图片 Base64前50字符: {scene_base64[:50] if scene_base64 else 'None'}")
                 if scene_base64:
                     payload["scene_image"] = scene_base64  # 使用正确的scene_image参数名
                     print("添加了场景参考图")