diff --git a/src/routes/other/testAI.ts b/src/routes/other/testAI.ts
index b64db1d..4becf64 100644
--- a/src/routes/other/testAI.ts
+++ b/src/routes/other/testAI.ts
@@ -51,10 +51,9 @@ export default router.post(
       console.log("%c Line:52 🍐 reply", "background:#ffdd4d", reply);
       res.status(200).send(success(reply));
     } catch (err) {
-      console.log(err);
-      if (typeof err === "string") return res.status(500).send(error(err));
-      const msg = err instanceof Error ? err.message : (err as any)?.error?.message;
-      return res.status(500).send(error(msg || "未知错误"));
+      const msg = u.error(err).message;
+      console.error(msg);
+      res.status(500).send(error(msg));
     }
   },
 );
diff --git a/src/routes/other/testImage.ts b/src/routes/other/testImage.ts
index 0d5bbb6..c4aa78f 100644
--- a/src/routes/other/testImage.ts
+++ b/src/routes/other/testImage.ts
@@ -18,36 +18,17 @@ export default router.post(
     const { modelName, apiKey, baseURL, manufacturer } = req.body;
     try {
       const image = await u.ai.image({
-        prompt: "生成16：9 四宫格图片，第一宫格是一只猫，第二宫格是一只狗， 第三宫格是一只老虎，第四宫格是猪。保证四宫格图片标准四等分",
+        prompt:
+          "一张16:9比例的图片，完美等分为2x2四宫格布局，各区域无缝衔接：\n左上宫格：一只可爱的猫，毛发蓬松，眼睛明亮，姿态俏皮\n右上宫格：一只友善的狗，金毛犬，表情愉悦，摇着尾巴\n左下宫格：一头健壮的牛，田园背景，目光温和，皮毛光泽\n右下宫格：一匹骏马，姿态优雅，鬃毛飘逸，肌肉健美\n风格要求：四个宫格风格统一，色彩鲜艳饱和，高清画质，细节清晰锐利，专业插画风格，线条干净，统一的左上方光源，柔和阴影，和谐配色，卡通/半写实风格，宫格间用白色或浅灰细线分隔",
         imageBase64: [],
         aspectRatio: "16:9",
         size: "1K",
       });
       res.status(200).send(success(image));
-    } catch (e: any) {
-      console.log("%c Line:28 🥒 e", "background:#fca650", e);
-      return res.status(500).send(error(e?.response?.data ?? e?.message ?? "生成失败"));
+    } catch (err) {
+      const msg = u.error(err).message;
+      console.error(msg);
+      res.status(500).send(error(msg));
     }
-
-    // try {
-    //   const contentStr = await u.ai.generateImage(
-    //     {
-    //       prompt: "2D cat",
-    //       imageBase64: [],
-    //       aspectRatio: "16:9",
-    //       size: "1K",
-    //     },
-    //     {
-    //       model: modelName,
-    //       apiKey,
-    //       baseURL,
-    //       manufacturer,
-    //     },
-    //   );
-    //   res.status(200).send(success(contentStr));
-    // } catch (err: any) {
-    //   const message = err?.response?.data?.error?.message || err?.error?.message || "模型调用失败";
-    //   res.status(500).send(error(message));
-    // }
   },
 );
diff --git a/src/routes/other/testVideo.ts b/src/routes/other/testVideo.ts
index c9a3ab0..79ebc6d 100644
--- a/src/routes/other/testVideo.ts
+++ b/src/routes/other/testVideo.ts
@@ -20,20 +20,21 @@ export default router.post(
   async (req, res) => {
     const { modelName, apiKey, baseURL, manufacturer } = req.body;
     try {
-      const videoPath = await u.ai.generateVideo(
-        {
-          imageBase64: [],
-          savePath: "",
-          prompt: "stickman Dances",
-          duration: 10 as any,
-          aspectRatio: "16:9" as any,
-        },
-        manufacturer,
-      );
+      const videoPath = await u.ai.video({
+        imageBase64: [],
+        savePath: "test.mp4",
+        prompt: "stickman Dances",
+        duration: 4,
+        resolution: "720p",
+        aspectRatio: "16:9",
+        audio: false,
+      });
       const url = await u.oss.getFileUrl(videoPath);
       res.status(200).send(success(url));
     } catch (err: any) {
-      res.status(500).send(error(err.error.message || "模型调用失败"));
+      const msg = u.error(err).message;
+      console.error(msg);
+      res.status(500).send(error(msg));
     }
   },
 );
diff --git a/src/utils.ts b/src/utils.ts
index 4022fd3..a08d48b 100644
--- a/src/utils.ts
+++ b/src/utils.ts
@@ -11,6 +11,7 @@ import * as imageTools from "@/utils/imageTools";
 
 import AIText from "@/utils/ai/text/index";
 import AIImage from "@/utils/ai/image/index";
+import AIVideo from "@/utils/ai/video/index";
 
 export default {
   db,
@@ -18,6 +19,7 @@ export default {
   ai: {
     text: AIText,
     image: AIImage,
+    video: AIVideo,
   },
   editImage,
   number2Chinese,
diff --git a/src/utils/ai.ts b/src/utils/ai.ts
deleted file mode 100644
index c72198a..0000000
--- a/src/utils/ai.ts
+++ /dev/null
@@ -1,561 +0,0 @@
-import axios from "axios";
-import u from "@/utils";
-import FormData from "form-data";
-import axiosRetry from "axios-retry";
-import { OpenAIChatModel, type OpenAIChatModelOptions } from "@aigne/openai";
-import sharp from "sharp";
-
-axiosRetry(axios, { retries: 3, retryDelay: () => 200 });
-
-export const text = async (config: OpenAIChatModelOptions = {}) => {
-  const { model, apiKey, baseURL } = await u.getConfig("text");
-  return new OpenAIChatModel({
-    apiKey: apiKey ?? "",
-    baseURL: baseURL ?? "",
-    model: model ?? "gpt-4.1",
-    modelOptions: { temperature: 0.7 },
-    ...config,
-  });
-};
-
-interface ImageConfig {
-  systemPrompt?: string;
-  prompt: string;
-  imageBase64: string[];
-  size: "1K" | "2K" | "4K";
-  aspectRatio: string;
-  resType?: "url" | "b64";
-}
-
-const urlToBase64 = async (url: string): Promise<string> => {
-  const res = await axios.get(url, { responseType: "arraybuffer" });
-  const base64 = Buffer.from(res.data).toString("base64");
-  const mimeType = res.headers["content-type"] || "image/png";
-  return `data:${mimeType};base64,${base64}`;
-};
-
-const sleep = (ms: number) => new Promise((resolve) => setTimeout(resolve, ms));
-
-const pollTask = async (
-  queryFn: () => Promise<{ completed: boolean; imageUrl?: string; error?: string }>,
-  maxAttempts = 500,
-  interval = 2000,
-): Promise<string> => {
-  for (let i = 0; i < maxAttempts; i++) {
-    await sleep(interval);
-    const { completed, imageUrl, error } = await queryFn();
-    if (error) throw new Error(error);
-    if (completed && imageUrl) return imageUrl;
-  }
-  throw new Error(`任务轮询超时，已尝试 ${maxAttempts} 次`);
-};
-
-// 上传 base64 图片到 runninghub
-const uploadBase64ToRunninghub = async (base64Image: string, apiKey: string, baseURL: string): Promise<string> => {
-  try {
-    apiKey = apiKey.replace("Bearer ", "");
-    // 移除 base64 前缀
-    const base64Data = base64Image.replace(/^data:image\/\w+;base64,/, "");
-    let buffer = Buffer.from(base64Data, "base64");
-
-    // 压缩图片到 5MB 以下
-    const MAX_SIZE = 5 * 1024 * 1024; // 5MB
-    if (buffer.length > MAX_SIZE) {
-      let quality = 90;
-
-      while (buffer.length > MAX_SIZE && quality > 10) {
-        const compressed = await sharp(buffer).jpeg({ quality, mozjpeg: true }).toBuffer();
-        buffer = Buffer.from(compressed);
-        quality -= 10;
-      }
-
-      // 如果仍然超过限制，进一步调整尺寸
-      if (buffer.length > MAX_SIZE) {
-        const metadata = await sharp(buffer).metadata();
-        const scale = Math.sqrt(MAX_SIZE / buffer.length);
-
-        const resized = await sharp(buffer)
-          .resize({
-            width: Math.floor((metadata.width || 1920) * scale),
-            height: Math.floor((metadata.height || 1080) * scale),
-            fit: "inside",
-          })
-          .jpeg({ quality: 80, mozjpeg: true })
-          .toBuffer();
-
-        buffer = Buffer.from(resized);
-      }
-    }
-
-    // 创建 FormData
-    const formData = new FormData();
-    formData.append("file", buffer, {
-      filename: "image.jpg",
-      contentType: "image/jpeg",
-    });
-
-    // 上传图片
-    const uploadRes = await axios.post(`https://www.runninghub.cn/openapi/v2/media/upload/binary`, formData, {
-      headers: { Authorization: `Bearer ${apiKey}` },
-    });
-
-    if (uploadRes.data.code !== 0 || !uploadRes.data.data?.download_url) {
-      throw new Error(`图片上传失败: ${JSON.stringify(uploadRes.data)}`);
-    }
-
-    return uploadRes.data.data.download_url;
-  } catch (error) {
-    console.error("上传图片时发生错误:", error);
-    throw error;
-  }
-};
-
-const generators = {
-  volcengine: async (config: ImageConfig, apiKey: string, baseURL: string, model: string) => {
-    if (config.size == "1K") config.size = "2K";
-    apiKey = apiKey.replace("Bearer ", "");
-    const body: Record<string, any> = {
-      model,
-      prompt: config.prompt,
-      size: config.size,
-      response_format: "url",
-      sequential_image_generation: "disabled",
-      stream: false,
-      watermark: false,
-    };
-    // 图生图：存在图片时添加 image 字段
-    if (config.imageBase64) {
-      body.image = config.imageBase64;
-    }
-    const res = await axios.post(`https://ark.cn-beijing.volces.com/api/v3/images/generations`, body, {
-      headers: { Authorization: `Bearer ${apiKey}` },
-    });
-    return res.data.data[0].url;
-  },
-
-  gemini: async (config: ImageConfig, apiKey: string, baseURL: string, model: string) => {
-    apiKey = apiKey.replace("Bearer ", "");
-    const messages = [
-      ...(config.systemPrompt ? [{ role: "system", content: config.systemPrompt }] : []),
-      { role: "user", content: config.prompt },
-      ...config.imageBase64.map((img) => ({ role: "user", content: { image: img } })),
-    ];
-    const res = await axios.post(
-      `${baseURL}/chat/completions`,
-      { model, stream: false, messages, extra_body: { google: { image_config: { aspect_ratio: config.aspectRatio, image_size: config.size } } } },
-      { headers: { Authorization: "Bearer " + apiKey } },
-    );
-
-    return res.data.choices[0].message.content;
-  },
-
-  runninghub: async (config: ImageConfig, apiKey: string, baseURL: string) => {
-    apiKey = apiKey.replace("Bearer ", "");
-    const imageUrls = await Promise.all(config.imageBase64.map((base64Image) => uploadBase64ToRunninghub(base64Image, apiKey, baseURL)));
-
-    const endpoint = config.imageBase64.length === 0 ? "/openapi/v2/rhart-image-n-pro/text-to-image" : "/openapi/v2/rhart-image-n-pro/edit";
-    const taskRes = await axios.post(
-      `https://www.runninghub.cn${endpoint}`,
-      { prompt: config.prompt, resolution: config.size, aspectRatio: config.aspectRatio, ...(imageUrls.length > 0 && { imageUrls }) },
-      { headers: { Authorization: "Bearer " + apiKey } },
-    );
-    const taskId = taskRes.data.taskId;
-    if (!taskId) throw new Error(`任务创建失败，${JSON.stringify(taskRes.data)}`);
-
-    return pollTask(async () => {
-      const res = await axios.post(`https://www.runninghub.cn/task/openapi/outputs`, { taskId, apiKey: apiKey });
-      const { code, msg, data } = res.data;
-      if (code === 0 && msg === "success") return { completed: true, imageUrl: data?.[0]?.fileUrl };
-      if (code === 804 || code === 813) return { completed: false };
-      if (code === 805) return { completed: false, error: `任务失败: ${data?.[0]?.failedReason?.exception_message || "未知原因"}` };
-      return { completed: false, error: `未知状态: code=${code}, msg=${msg}` };
-    });
-  },
-
-  apimart: async (config: ImageConfig, apiKey: string, baseURL: string, model: string) => {
-    apiKey = apiKey.replace("Bearer ", "");
-    const taskRes = await axios.post(
-      `https://api.apimart.ai/v1/images/generations`,
-      { model: "gemini-3-pro-image-preview", prompt: config.prompt, size: config.aspectRatio, n: 1, resolution: config.size },
-      { headers: { Authorization: apiKey } },
-    );
-
-    if (taskRes.data.code !== 200 || !taskRes.data.data?.[0]?.task_id) throw new Error("任务创建失败: " + JSON.stringify(taskRes.data));
-
-    const taskId = taskRes.data.data[0].task_id;
-    return pollTask(async () => {
-      const res = await axios.get(`https://api.apimart.ai/v1/tasks/${taskId}`, { headers: { Authorization: apiKey }, params: { language: "en" } });
-      if (res.data.code !== 200) return { completed: false, error: `查询失败: ${JSON.stringify(res.data)}` };
-      const { status, result } = res.data.data;
-      if (status === "completed") return { completed: true, imageUrl: result?.images?.[0]?.url?.[0] };
-      if (status === "failed" || status === "cancelled") return { completed: false, error: `任务${status}` };
-      return { completed: false };
-    });
-  },
-};
-
-export const generateImage = async (config: ImageConfig, replaceConfig?: Awaited<ReturnType<typeof u.getConfig<"image">>>): Promise<string> => {
-  let { model, apiKey, baseURL, manufacturer } = await u.getConfig("image");
-  if (replaceConfig) {
-    model = replaceConfig.model || model;
-    apiKey = replaceConfig.apiKey || apiKey;
-    baseURL = replaceConfig.baseURL || baseURL;
-    manufacturer = replaceConfig.manufacturer || manufacturer;
-  }
-  const generator = generators[manufacturer as keyof typeof generators];
-  if (!generator) throw new Error(`不支持的厂商: ${manufacturer}`);
-
-  let imageUrl = await generator(config, apiKey ?? "", baseURL ?? "", model ?? "");
-  if (!config.resType) config.resType = "b64";
-  if (config.resType === "b64" && imageUrl.startsWith("http")) imageUrl = await urlToBase64(imageUrl);
-  return imageUrl;
-};
-
-type VideoAspectRatio = "16:9" | "9:16" | "1:1" | "4:3" | "3:4" | "21:9" | "adaptive";
-interface BaseVideoConfig {
-  prompt: string;
-  savePath: string;
-  imageBase64?: string[]; // 单张参考图片 base64
-}
-interface DoubaoVideoConfig extends BaseVideoConfig {
-  duration: 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12; // 支持 2~12 秒
-  aspectRatio: VideoAspectRatio;
-  audio?: boolean;
-}
-interface RunninghubVideoConfig extends BaseVideoConfig {
-  duration: 10 | 15; // 仅支持 10 或 15 秒
-  aspectRatio: "16:9" | "9:16" | "1:1"; // 仅支持这三种比例
-}
-interface OpenAIVideoConfig extends BaseVideoConfig {
-  duration: 10 | 15; // 仅支持 10 或 15 秒
-  aspectRatio: Exclude<VideoAspectRatio, "adaptive">; // 不支持 adaptive
-}
-type VideoConfig = DoubaoVideoConfig | RunninghubVideoConfig | OpenAIVideoConfig;
-const generateVideoWithConfig = async (config: VideoConfig, configItem: { model: string; apiKey: string; baseURL: string; manufacturer: string }) => {
-  const { apiKey, baseURL, manufacturer, model } = configItem;
-  const imageArrPath = [];
-  for (const imageVal of config?.imageBase64!) {
-    // 判断是否为base64串
-    const isBase64 = typeof imageVal === "string" && /^data:image\/[a-zA-Z0-9\+\-\.]+;base64,[\s\S]+$/.test(imageVal.trim());
-    if (isBase64) {
-      imageArrPath.push(imageVal);
-    } else {
-      const base64 = await urlToBase64(imageVal);
-      imageArrPath.push(base64);
-    }
-  }
-  config.imageBase64 = imageArrPath;
-  let videoUrl: string | null = null;
-  if (manufacturer === "volcengine") {
-    const doubaoConfig = config as DoubaoVideoConfig;
-    const createRes = await axios.post(
-      baseURL ?? "https://ark.cn-beijing.volces.com/api/v3/contents/generations/tasks",
-      {
-        model: "doubao-seedance-1-5-pro-251215",
-        content: [
-          { type: "text", text: config.prompt },
-          ...(doubaoConfig.imageBase64
-            ? doubaoConfig.imageBase64.map((base64, i) => ({
-                type: "image_url",
-                image_url: { url: base64 },
-                role: i === 0 ? "first_frame" : "last_frame",
-              }))
-            : []),
-        ],
-        generate_audio: doubaoConfig.audio ?? false,
-        duration: doubaoConfig.duration,
-        resolution: doubaoConfig.aspectRatio,
-        watermark: false,
-      },
-      { headers: { "Content-Type": "application/json", Authorization: `Bearer ${apiKey}` } },
-    );
-    const taskId = createRes.data.id;
-    if (!taskId) throw new Error("视频任务创建失败");
-    videoUrl = await pollTask(async () => {
-      const res = await axios.get(`${baseURL ?? "https://ark.cn-beijing.volces.com/api/v3/contents/generations/tasks"}/${taskId}`, {
-        headers: { Authorization: `Bearer ${apiKey}` },
-      });
-      const { status, content } = res.data;
-      if (status === "succeeded") return { completed: true, imageUrl: content?.video_url };
-      if (["failed", "cancelled", "expired"].includes(status)) return { completed: false, error: `任务${status}` };
-      if (["queued", "running"].includes(status)) return { completed: false };
-      return { completed: false, error: `未知状态: ${status}` };
-    });
-  } else if (manufacturer === "runninghub") {
-    const runninghubConfig = config as RunninghubVideoConfig;
-    // 如果有图片，先上传
-    let uploadedImageUrl: string | undefined;
-    if (runninghubConfig.imageBase64 && runninghubConfig.imageBase64.length > 0) {
-      uploadedImageUrl = await uploadBase64ToRunninghub(runninghubConfig.imageBase64[0]!, apiKey ?? "", "https://www.runninghub.cn");
-    }
-
-    const endpoint = uploadedImageUrl ? "/openapi/v2/rhart-video-s/image-to-video" : "/openapi/v2/rhart-video-s/text-to-video";
-    const requestBody = uploadedImageUrl
-      ? {
-          prompt: config.prompt,
-          imageUrl: uploadedImageUrl,
-          duration: String(runninghubConfig.duration) as "10" | "15",
-          aspectRatio: runninghubConfig.aspectRatio,
-        }
-      : { prompt: config.prompt, model };
-    const createRes = await axios.post(`https://www.runninghub.cn${endpoint}`, requestBody, {
-      headers: { Authorization: "Bearer " + apiKey, "Content-Type": "application/json" },
-    });
-
-    const { taskId, status: initialStatus, errorMessage } = createRes.data;
-    if (!taskId) throw new Error(`视频任务创建失败: ${errorMessage || "未知错误"}`);
-    if (initialStatus === "FAILED") throw new Error(`任务创建失败: ${errorMessage}`);
-    videoUrl = await pollTask(async () => {
-      const res = await axios.post(
-        `https://www.runninghub.cn/task/openapi/outputs`,
-        { apiKey: apiKey?.replace("Bearer ", ""), taskId },
-        { headers: { Authorization: "Bearer " + apiKey } },
-      );
-      const { code, msg, data } = res.data;
-
-      // 成功完成
-      if (code === 0 && msg === "success" && data?.[0]?.fileUrl) {
-        return { completed: true, imageUrl: data[0].fileUrl };
-      }
-
-      // 进行中
-      if (code === 804 || code === 813) {
-        return { completed: false };
-      }
-
-      // 失败
-      if (code === 805) {
-        const failedReason = data?.[0]?.failedReason;
-        let errorMsg = "未知原因";
-
-        if (failedReason) {
-          // 尝试多种可能的错误信息字段
-          errorMsg =
-            failedReason.exception_message ||
-            failedReason.exceptionMessage ||
-            failedReason.message ||
-            failedReason.reason ||
-            JSON.stringify(failedReason);
-        }
-
-        return {
-          completed: false,
-          error: `任务失败: ${errorMsg}`,
-        };
-      }
-
-      // 其他未知状态
-      return {
-        completed: false,
-        error: `未知状态: code=${code}, msg=${msg}, data=${JSON.stringify(data)}`,
-      };
-    });
-  } else if (manufacturer === "openAi") {
-    const openaiConfig = config as OpenAIVideoConfig;
-    // 如果有图片，先上传
-    let uploadedImageUrl: string | undefined;
-    if (openaiConfig.imageBase64 && openaiConfig.imageBase64.length) {
-      const base64Data = openaiConfig.imageBase64[0]!.replace(/^data:image\/\w+;base64,/, "");
-      const buffer = Buffer.from(base64Data, "base64");
-      const formData = new FormData();
-      formData.append("file", buffer, { filename: "image.jpg", contentType: "image/jpeg" });
-      const uploadRes = await axios.post(`${baseURL}/videos`, formData, {
-        headers: {
-          Authorization: `Bearer ${apiKey}`,
-          ...formData.getHeaders(),
-        },
-      });
-      uploadedImageUrl = uploadRes.data?.id || uploadRes.data?.url;
-    }
-
-    // 创建视频生成任务
-    const formData = new FormData();
-    formData.append("model", model);
-    formData.append("prompt", config.prompt);
-    formData.append("seconds", String(openaiConfig.duration));
-
-    // 根据 aspectRatio 设置 size
-    const sizeMap: Record<string, string> = {
-      "16:9": "1920x1080",
-      "9:16": "1080x1920",
-      "1:1": "1080x1080",
-      "4:3": "1440x1080",
-      "3:4": "1080x1440",
-      "21:9": "2560x1080",
-    };
-    formData.append("size", sizeMap[openaiConfig.aspectRatio] || "1920x1080");
-    if (uploadedImageUrl) {
-      formData.append("input_reference", uploadedImageUrl);
-    }
-    const createRes = await axios.post(`${baseURL}/videos`, formData, {
-      headers: {
-        Authorization: `Bearer ${apiKey}`,
-        ...formData.getHeaders(),
-      },
-    });
-
-    const taskId = createRes.data?.id;
-
-    if (!taskId) throw new Error("视频任务创建失败");
-    // 轮询任务状态
-    videoUrl = await pollTask(async () => {
-      const res = await axios.get(`${baseURL}/videos/${taskId}`, {
-        headers: {
-          Authorization: `Bearer ${apiKey}`,
-          "Content-Type": "application/json",
-        },
-      });
-      const { status, imageUrl, failReason } = res.data;
-      if (status === "SUCCESS") return { completed: true, imageUrl };
-      if (status === "FAILURE" || status === "CANCEL") {
-        return { completed: false, error: `任务${status}: ${failReason || "未知原因"}` };
-      }
-      if (["NOT_START", "SUBMITTED", "IN_PROGRESS", "MODAL"].includes(status)) {
-        return { completed: false };
-      }
-      return { completed: false, error: `未知状态: ${status}` };
-    });
-  } else if (manufacturer === "apimart") {
-    // apimart 视频生成
-    const apimartConfig = config as OpenAIVideoConfig;
-    const apimartBaseURL = "https://api.apimart.ai";
-
-    // 上传图片到 apimart 图床
-    let imageUrls: string[] = [];
-    if (apimartConfig.imageBase64 && apimartConfig.imageBase64.length > 0) {
-      for (const base64Image of apimartConfig.imageBase64) {
-        // 如果已经是 URL，直接使用
-        if (base64Image.startsWith("http")) {
-          imageUrls.push(base64Image);
-          continue;
-        }
-
-        // 获取预签名 URL
-        const presignRes = await axios.post(
-          "https://apimart.ai/api/upload/presign",
-          { contentType: "image/jpeg", fileExtension: "jpeg", permanent: false },
-          { headers: { "Content-Type": "application/json" } },
-        );
-
-        if (!presignRes.data.success || !presignRes.data.presignedUrl || !presignRes.data.cdnUrl) {
-          throw new Error(`获取预签名 URL 失败: ${JSON.stringify(presignRes.data)}`);
-        }
-
-        const { presignedUrl, cdnUrl } = presignRes.data;
-
-        // 移除 base64 前缀并转为 buffer
-        const base64Data = base64Image.replace(/^data:image\/\w+;base64,/, "");
-        const buffer = Buffer.from(base64Data, "base64");
-
-        // 上传图片到预签名 URL
-        await axios.put(presignedUrl, buffer, {
-          headers: { "Content-Type": "image/jpeg" },
-        });
-
-        imageUrls.push(cdnUrl);
-      }
-    }
-
-    // 创建视频生成任务
-    const requestBody: {
-      model: string;
-      prompt: string;
-      duration: number;
-      aspect_ratio: string;
-      image_urls?: string[];
-    } = {
-      model: model || "sora-2",
-      prompt: config.prompt,
-      duration: apimartConfig.duration,
-      aspect_ratio: apimartConfig.aspectRatio,
-    };
-
-    if (imageUrls.length > 0) {
-      requestBody.image_urls = imageUrls;
-    }
-
-    const createRes = await axios.post(`${apimartBaseURL}/v1/videos/generations`, requestBody, {
-      headers: {
-        Authorization: `Bearer ${apiKey}`,
-        "Content-Type": "application/json",
-      },
-    });
-
-    if (createRes.data.code !== 200 || !createRes.data.data?.[0]?.task_id) {
-      const errorMsg = createRes.data.error?.message || JSON.stringify(createRes.data);
-      throw new Error(`视频任务创建失败: ${errorMsg}`);
-    }
-
-    const taskId = createRes.data.data[0].task_id;
-
-    // 轮询任务状态
-    videoUrl = await pollTask(async () => {
-      const res = await axios.get(`${apimartBaseURL}/v1/tasks/${taskId}`, {
-        headers: { Authorization: `Bearer ${apiKey}` },
-        params: { language: "en" },
-      });
-
-      // 检查是否有错误
-      if (res.data.error) {
-        return {
-          completed: false,
-          error: `查询失败: ${res.data.error.message || JSON.stringify(res.data.error)}`,
-        };
-      }
-
-      if (res.data.code !== 200) {
-        return { completed: false, error: `查询失败: ${JSON.stringify(res.data)}` };
-      }
-
-      const { status, result } = res.data.data;
-
-      if (status === "completed") {
-        // 获取视频 URL
-        const videoUrlResult = result?.videos?.[0]?.url?.[0];
-        return { completed: true, imageUrl: videoUrlResult };
-      }
-
-      if (status === "failed" || status === "cancelled") {
-        return { completed: false, error: `任务${status}` };
-      }
-
-      // 其他状态（submitted, processing 等）继续轮询
-      return { completed: false };
-    });
-  } else {
-    throw new Error(`不支持的厂商: ${manufacturer}`);
-  }
-  return videoUrl;
-};
-export const generateVideo = async (config: VideoConfig, manufacturer: string) => {
-  if (!config.imageBase64 || config.imageBase64.length <= 0) throw new Error("未传图片");
-  const configList = await u.getConfig("video", manufacturer);
-  console.log("%c Line:533 🥔 configList", "background:#ea7e5c", configList);
-  if (!configList || configList.length === 0) {
-    throw new Error("未找到任何视频配置");
-  }
-  let lastError: Error | null = null;
-  for (const configItem of configList) {
-    // 每个配置项重试1次，共2次尝试
-    for (let attempt = 0; attempt < 2; attempt++) {
-      try {
-        const videoUrl = await generateVideoWithConfig(config, configItem);
-        if (videoUrl) {
-          const response = await axios.get(videoUrl, { responseType: "stream" });
-          await u.oss.writeFile(config.savePath, response.data);
-          return config.savePath;
-        }
-        return videoUrl;
-      } catch (error: any) {
-        lastError = error as Error;
-        console.warn(`配置 ${configItem.model} 第 ${attempt + 1} 次尝试失败:`, error?.response?.data || error.message);
-        // 如果是第一次尝试失败，继续重试
-        if (attempt === 0) continue;
-        // 第二次也失败了,跳到下一个配置项
-        break;
-      }
-    }
-  }
-  // 所有配置都失败了
-  throw new Error(`所有视频配置都失败了。最后一次错误: ${lastError?.message || "未知错误"}`);
-};
diff --git a/src/utils/ai/image/index.ts b/src/utils/ai/image/index.ts
index 5f3560b..77076ec 100644
--- a/src/utils/ai/image/index.ts
+++ b/src/utils/ai/image/index.ts
@@ -5,16 +5,11 @@ import axios from "axios";
 
 import volcengine from "./owned/volcengine";
 import kling from "./owned/kling";
-import gemini from "./owned/gemini";
 import vidu from "./owned/vidu";
 import runninghub from "./owned/runninghub";
 import apimart from "./owned/apimart";
 import other from "./owned/other";
-interface AIConfig {
-  model?: string;
-  apiKey?: string;
-  baseURL?: string;
-}
+import gemini from "./owned/gemini";
 
 const urlToBase64 = async (url: string): Promise<string> => {
   const res = await axios.get(url, { responseType: "arraybuffer" });
@@ -29,8 +24,8 @@ const modelInstance = {
   kling: kling,
   vidu: vidu,
   runninghub: runninghub,
-  apimart: apimart,
-  other
+  // apimart: apimart,
+  other,
 } as const;
 
 export default async (input: ImageConfig, config?: AIConfig) => {
@@ -38,11 +33,35 @@ export default async (input: ImageConfig, config?: AIConfig) => {
   const { model, apiKey, baseURL, manufacturer } = { ...sqlTextModelConfig, ...config };
   const manufacturerFn = modelInstance[manufacturer as keyof typeof modelInstance];
   if (!manufacturerFn) if (!manufacturerFn) throw new Error("不支持的图片厂商");
-  // const owned = modelList.find((m) => m.model === model);
-  // if (!owned) throw new Error("不支持的模型");
+  const owned = modelList.find((m) => m.model === model);
+  if (!owned) throw new Error("不支持的模型");
+
+  // 补充图片的 base64 内容类型字符串
+  if (input.imageBase64 && input.imageBase64.length > 0) {
+    input.imageBase64 = input.imageBase64.map((img) => {
+      if (img.startsWith("data:image/")) {
+        return img;
+      }
+      // 根据 base64 头部判断图片类型
+      if (img.startsWith("/9j/")) {
+        return `data:image/jpeg;base64,${img}`;
+      }
+      if (img.startsWith("iVBORw")) {
+        return `data:image/png;base64,${img}`;
+      }
+      if (img.startsWith("R0lGOD")) {
+        return `data:image/gif;base64,${img}`;
+      }
+      if (img.startsWith("UklGR")) {
+        return `data:image/webp;base64,${img}`;
+      }
+      // 默认使用 png
+      return `data:image/png;base64,${img}`;
+    });
+  }
 
   let imageUrl = await manufacturerFn(input, { model, apiKey, baseURL });
   if (!input.resType) input.resType = "b64";
   if (input.resType === "b64" && imageUrl.startsWith("http")) imageUrl = await urlToBase64(imageUrl);
-  return imageUrl;
+  return input;
 };
diff --git a/src/utils/ai/image/modelList.ts b/src/utils/ai/image/modelList.ts
index d5cad4b..1cce6d9 100644
--- a/src/utils/ai/image/modelList.ts
+++ b/src/utils/ai/image/modelList.ts
@@ -40,6 +40,12 @@ const modelList: Owned[] = [
     type: "ti2i",
   },
   //Vidu
+   {
+    manufacturer: "vidu",
+    model: "viduq1",
+    grid: false,
+    type: "i2i",
+  },
   {
     manufacturer: "vidu",
     model: "viduq2",
diff --git a/src/utils/ai/image/owned/apimart.ts b/src/utils/ai/image/owned/apimart.ts
index f4ca7cc..9ed4b80 100644
--- a/src/utils/ai/image/owned/apimart.ts
+++ b/src/utils/ai/image/owned/apimart.ts
@@ -24,7 +24,7 @@ export default async (input: ImageConfig, config: AIConfig): Promise<string> =>
     const res = await axios.get(`https://api.apimart.ai/v1/tasks/${taskId}`, { headers: { Authorization: apiKey }, params: { language: "en" } });
     if (res.data.code !== 200) return { completed: false, error: `查询失败: ${JSON.stringify(res.data)}` };
     const { status, result } = res.data.data;
-    if (status === "completed") return { completed: true, imageUrl: result?.images?.[0]?.url?.[0] };
+    if (status === "completed") return { completed: true, url: result?.images?.[0]?.url?.[0] };
     if (status === "failed" || status === "cancelled") return { completed: false, error: `任务${status}` };
     return { completed: false };
   });
diff --git a/src/utils/ai/image/owned/kling.ts b/src/utils/ai/image/owned/kling.ts
index fa32aa4..1f930f4 100644
--- a/src/utils/ai/image/owned/kling.ts
+++ b/src/utils/ai/image/owned/kling.ts
@@ -96,7 +96,7 @@ export default async (input: ImageConfig, config: AIConfig): Promise<string> =>
       }
 
       if (task_status === "succeed") {
-        return { completed: true, imageUrl: task_result?.images?.[0]?.url };
+        return { completed: true, url: task_result?.images?.[0]?.url };
       }
 
       return { completed: false };
diff --git a/src/utils/ai/image/owned/other.ts b/src/utils/ai/image/owned/other.ts
index 80c7d35..6e72ef5 100644
--- a/src/utils/ai/image/owned/other.ts
+++ b/src/utils/ai/image/owned/other.ts
@@ -1,5 +1,4 @@
 import "../type";
-import { createGoogleGenerativeAI } from "@ai-sdk/google";
 import { generateImage, generateText } from "ai";
 import { createOpenAICompatible } from "@ai-sdk/openai-compatible";
 
diff --git a/src/utils/ai/image/owned/runninghub.ts b/src/utils/ai/image/owned/runninghub.ts
index d2bb758..7a598c2 100644
--- a/src/utils/ai/image/owned/runninghub.ts
+++ b/src/utils/ai/image/owned/runninghub.ts
@@ -85,7 +85,7 @@ export default async (input: ImageConfig, config: AIConfig): Promise<string> =>
   return pollTask(async () => {
     const res = await axios.post(`https://www.runninghub.cn/task/openapi/outputs`, { taskId, apiKey: apiKey });
     const { code, msg, data } = res.data;
-    if (code === 0 && msg === "success") return { completed: true, imageUrl: data?.[0]?.fileUrl };
+    if (code === 0 && msg === "success") return { completed: true, url: data?.[0]?.fileUrl };
     if (code === 804 || code === 813) return { completed: false };
     if (code === 805) return { completed: false, error: `任务失败: ${data?.[0]?.failedReason?.exception_message || "未知原因"}` };
     return { completed: false, error: `未知状态: code=${code}, msg=${msg}` };
diff --git a/src/utils/ai/image/owned/vidu.ts b/src/utils/ai/image/owned/vidu.ts
index 6ceef26..99a8fee 100644
--- a/src/utils/ai/image/owned/vidu.ts
+++ b/src/utils/ai/image/owned/vidu.ts
@@ -80,7 +80,7 @@ export default async (input: ImageConfig, config: AIConfig): Promise<string> =>
       }
 
       if (state === "succeed") {
-        return { completed: true, imageUrl: creations?.[0]?.url };
+        return { completed: true, url: creations?.[0]?.url };
       }
 
       return { completed: false };
diff --git a/src/utils/ai/utils.ts b/src/utils/ai/utils.ts
index 9bcc2a9..55aab17 100644
--- a/src/utils/ai/utils.ts
+++ b/src/utils/ai/utils.ts
@@ -1,13 +1,76 @@
+import modelList from "./video/modelList";
+
+interface ValidateResult {
+  owned: (typeof modelList)[number];
+  images: string[];
+  hasStartEndType: boolean;
+  hasTextType: boolean;
+}
+
+/**
+ * 校验视频生成配置与模型是否匹配
+ * @param input 视频配置
+ * @param config AI配置
+ * @param customOwned 自定义模型配置（如果传入则跳过模型查找）
+ */
+export const validateVideoConfig = (input: VideoConfig, config: AIConfig, customOwned?: (typeof modelList)[number]): ValidateResult => {
+  if (!config.model) throw new Error("缺少Model名称");
+  const owned = customOwned ?? modelList.find((m) => m.model === config.model);
+  if (!owned) throw new Error(`不支持的模型: ${config.model}`);
+  const images = input.imageBase64 ?? [];
+  // 校验图片数量与模型类型是否匹配
+  const hasTextType = owned.type.includes("text");
+  const hasSingleImageType = owned.type.includes("singleImage");
+  const hasStartEndType = owned.type.some((t) => ["startEndRequired", "endFrameOptional", "startFrameOptional"].includes(t));
+  const hasMultiImageType = owned.type.includes("multiImage");
+  const hasReferenceType = owned.type.includes("reference");
+  if (images.length === 0 && !hasTextType) {
+    throw new Error(`模型 ${config.model} 不支持纯文本生成，需要提供图片`);
+  }
+  if (images.length === 1 && !hasSingleImageType && !hasStartEndType && !hasReferenceType) {
+    throw new Error(`模型 ${config.model} 不支持单图模式`);
+  }
+  if (images.length === 2 && !hasStartEndType) {
+    throw new Error(`模型 ${config.model} 不支持首尾帧模式`);
+  }
+  if (images.length > 2 && !hasMultiImageType) {
+    throw new Error(`模型 ${config.model} 不支持多图模式`);
+  }
+  // 校验duration和resolution是否在支持范围内
+  const validDurationResolution = owned.durationResolutionMap.some(
+    (map) => map.duration.includes(input.duration) && map.resolution.includes(input.resolution as typeof map.resolution[number]),
+  );
+  if (!validDurationResolution) {
+    const supportedDurations = [...new Set(owned.durationResolutionMap.flatMap((m) => m.duration))].sort((a, b) => a - b);
+    const supportedResolutions = [...new Set(owned.durationResolutionMap.flatMap((m) => m.resolution))];
+    throw new Error(
+      `不支持的duration(${input.duration})或resolution(${input.resolution})组合。` +
+        `支持的duration: ${supportedDurations.join(", ")}，支持的resolution: ${supportedResolutions.join(", ")}`,
+    );
+  }
+  // 校验音频设置
+  if (input.audio && !owned.audio) {
+    throw new Error(`模型 ${config.model} 不支持生成音频`);
+  }
+  // 校验宽高比（仅文本生视频需要）
+  if (hasTextType && images.length === 0 && owned.aspectRatio.length > 0) {
+    if (!owned.aspectRatio.includes(input.aspectRatio as `${number}:${number}`)) {
+      throw new Error(`模型 ${config.model} 不支持宽高比 ${input.aspectRatio}，支持的宽高比: ${owned.aspectRatio.join(", ")}`);
+    }
+  }
+  return { owned, images, hasStartEndType, hasTextType };
+};
+
 export const pollTask = async (
-  queryFn: () => Promise<{ completed: boolean; imageUrl?: string; error?: string }>,
+  queryFn: () => Promise<{ completed: boolean; url?: string; error?: string }>,
   maxAttempts = 500,
   interval = 2000,
 ): Promise<string> => {
   for (let i = 0; i < maxAttempts; i++) {
     await new Promise((resolve) => setTimeout(resolve, interval));
-    const { completed, imageUrl, error } = await queryFn();
+    const { completed, url, error } = await queryFn();
     if (error) throw new Error(error);
-    if (completed && imageUrl) return imageUrl;
+    if (completed && url) return url;
   }
   throw new Error(`任务轮询超时，已尝试 ${maxAttempts} 次`);
-};
\ No newline at end of file
+};
diff --git a/src/utils/ai/video/index.ts b/src/utils/ai/video/index.ts
new file mode 100644
index 0000000..41da25c
--- /dev/null
+++ b/src/utils/ai/video/index.ts
@@ -0,0 +1,63 @@
+import "./type";
+import u from "@/utils";
+import modelList from "./modelList";
+import axios from "axios";
+
+import volcengine from "./owned/volcengine";
+import kling from "./owned/kling";
+import vidu from "./owned/vidu";
+import wan from "./owned/wan";
+import runninghub from "./owned/runninghub";
+import gemini from "./owned/gemini";
+import apimart from "./owned/apimart";
+
+const modelInstance = {
+  volcengine: volcengine,
+  kling: kling,
+  vidu: vidu,
+  wan: wan,
+  gemini: gemini,
+  runninghub: runninghub,
+  apimart: apimart,
+} as const;
+
+export default async (input: VideoConfig, config?: AIConfig) => {
+  const sqlTextModelConfig = await u.getConfig("video");
+  const { model, apiKey, baseURL, manufacturer } = { ...sqlTextModelConfig, ...config };
+  const manufacturerFn = modelInstance[manufacturer as keyof typeof modelInstance];
+  if (!manufacturerFn) if (!manufacturerFn) throw new Error("不支持的视频厂商");
+  const owned = modelList.find((m) => m.model === model);
+  if (!owned) throw new Error("不支持的模型");
+
+  // 补充图片的 base64 内容类型字符串
+  if (input.imageBase64 && input.imageBase64.length > 0) {
+    input.imageBase64 = input.imageBase64.map((img) => {
+      if (img.startsWith("data:image/")) {
+        return img;
+      }
+      // 根据 base64 头部判断图片类型
+      if (img.startsWith("/9j/")) {
+        return `data:image/jpeg;base64,${img}`;
+      }
+      if (img.startsWith("iVBORw")) {
+        return `data:image/png;base64,${img}`;
+      }
+      if (img.startsWith("R0lGOD")) {
+        return `data:image/gif;base64,${img}`;
+      }
+      if (img.startsWith("UklGR")) {
+        return `data:image/webp;base64,${img}`;
+      }
+      // 默认使用 png
+      return `data:image/png;base64,${img}`;
+    });
+  }
+
+  let videoUrl = await manufacturerFn(input, { model, apiKey, baseURL });
+  if (videoUrl) {
+    const response = await axios.get(videoUrl, { responseType: "stream" });
+    await u.oss.writeFile(input.savePath, response.data);
+    return input.savePath;
+  }
+  return videoUrl;
+};
diff --git a/src/utils/ai/video/modelList.ts b/src/utils/ai/video/modelList.ts
new file mode 100644
index 0000000..14c65aa
--- /dev/null
+++ b/src/utils/ai/video/modelList.ts
@@ -0,0 +1,489 @@
+type VideoGenerationType =
+  | "singleImage" // 单图
+  | "startEndRequired" // 首尾帧（两张都得有）
+  | "endFrameOptional" // 首尾帧（尾帧可选）
+  | "startFrameOptional" // 首尾帧（首帧可选）
+  | "multiImage" // 多图模式
+  | "reference" // 参考图模式
+  | "text"; // 文本生视频
+
+interface DurationResolutionMap {
+  duration: number[];
+  resolution: (`${number}p` | `${number}k`)[];
+}
+interface Owned {
+  manufacturer: string;
+  model: string;
+  durationResolutionMap: DurationResolutionMap[];
+  aspectRatio: `${number}:${number}`[];
+  type: VideoGenerationType[];
+  audio: boolean;
+}
+
+const modelList: Owned[] = [
+  // ================== 火山引擎/豆包系列 ==================
+  // doubao-seedance-1-5-pro 文生视频/图生视频
+  {
+    manufacturer: "volcengine",
+    model: "doubao-seedance-1-5-pro-251215",
+    durationResolutionMap: [{ duration: [4, 5, 6, 7, 8, 9, 10, 11, 12], resolution: ["480p", "720p", "1080p"] }],
+    aspectRatio: ["16:9", "4:3", "1:1", "3:4", "9:16", "21:9"],
+    type: ["text", "endFrameOptional"],
+    audio: true,
+  },
+  // doubao-seedance-1-0-pro 文生视频/图生视频
+  {
+    manufacturer: "volcengine",
+    model: "doubao-seedance-1-0-pro-250528",
+    durationResolutionMap: [{ duration: [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], resolution: ["480p", "720p", "1080p"] }],
+    aspectRatio: ["16:9", "4:3", "1:1", "3:4", "9:16", "21:9"],
+    type: ["text", "endFrameOptional"],
+    audio: false,
+  },
+  // doubao-seedance-1-0-pro-fast 文生视频/图生视频
+  {
+    manufacturer: "volcengine",
+    model: "doubao-seedance-1-0-pro-fast-251015",
+    durationResolutionMap: [{ duration: [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], resolution: ["480p", "720p", "1080p"] }],
+    aspectRatio: ["16:9", "4:3", "1:1", "3:4", "9:16", "21:9"],
+    type: ["text", "singleImage"],
+    audio: false,
+  },
+  // doubao-seedance-1-0-lite-i2v 图生视频（仅支持图片模式）
+  {
+    manufacturer: "volcengine",
+    model: "doubao-seedance-1-0-lite-i2v-250428",
+    durationResolutionMap: [{ duration: [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], resolution: ["480p", "720p", "1080p"] }],
+    aspectRatio: [],
+    type: ["endFrameOptional", "reference"],
+    audio: false,
+  },
+  // doubao-seedance-1-0-lite-t2v 文生视频（仅支持文本模式）
+  {
+    manufacturer: "volcengine",
+    model: "doubao-seedance-1-0-lite-t2v-250428",
+    durationResolutionMap: [{ duration: [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], resolution: ["480p", "720p", "1080p"] }],
+    aspectRatio: ["16:9", "4:3", "1:1", "3:4", "9:16", "21:9"],
+    type: ["text"],
+    audio: false,
+  },
+  // ================== 可灵系列 ==================
+  // kling-v1(STD) 文生视频
+  {
+    manufacturer: "kling",
+    model: "kling-v1(STD)",
+    durationResolutionMap: [{ duration: [5, 10], resolution: ["720p"] }],
+    aspectRatio: ["16:9", "1:1", "9:16"],
+    type: ["text"],
+    audio: false,
+  },
+  // kling-v1(STD) 图生视频
+  {
+    manufacturer: "kling",
+    model: "kling-v1(STD)",
+    durationResolutionMap: [{ duration: [5, 10], resolution: ["720p"] }],
+    aspectRatio: [],
+    type: ["startEndRequired"],
+    audio: false,
+  },
+  // kling-v1(PRO) 文生视频
+  {
+    manufacturer: "kling",
+    model: "kling-v1(PRO)",
+    durationResolutionMap: [{ duration: [5, 10], resolution: ["1080p"] }],
+    aspectRatio: ["16:9", "1:1", "9:16"],
+    type: ["text"],
+    audio: false,
+  },
+  // kling-v1(PRO) 图生视频
+  {
+    manufacturer: "kling",
+    model: "kling-v1(PRO)",
+    durationResolutionMap: [{ duration: [5, 10], resolution: ["1080p"] }],
+    aspectRatio: [],
+    type: ["startEndRequired"],
+    audio: false,
+  },
+  // kling-v1-6(PRO) 文生视频
+  {
+    manufacturer: "kling",
+    model: "kling-v1-6(PRO)",
+    durationResolutionMap: [{ duration: [5, 10], resolution: ["1080p"] }],
+    aspectRatio: ["16:9", "1:1", "9:16"],
+    type: ["text"],
+    audio: false,
+  },
+  // kling-v1-6(PRO) 图生视频
+  {
+    manufacturer: "kling",
+    model: "kling-v1-6(PRO)",
+    durationResolutionMap: [{ duration: [5, 10], resolution: ["1080p"] }],
+    aspectRatio: [],
+    type: ["startEndRequired"],
+    audio: false,
+  },
+  // kling-v2-5-turbo(PRO) 文生视频
+  {
+    manufacturer: "kling",
+    model: "kling-v2-5-turbo(PRO)",
+    durationResolutionMap: [{ duration: [5, 10], resolution: ["1080p"] }],
+    aspectRatio: ["16:9", "1:1", "9:16"],
+    type: ["text"],
+    audio: false,
+  },
+  // kling-v2-5-turbo(PRO) 图生视频
+  {
+    manufacturer: "kling",
+    model: "kling-v2-5-turbo(PRO)",
+    durationResolutionMap: [{ duration: [5, 10], resolution: ["1080p"] }],
+    aspectRatio: [],
+    type: ["startEndRequired"],
+    audio: false,
+  },
+  // kling-v2-6(PRO) 文生视频
+  {
+    manufacturer: "kling",
+    model: "kling-v2-6(PRO)",
+    durationResolutionMap: [{ duration: [5, 10], resolution: ["1080p"] }],
+    aspectRatio: ["16:9", "1:1", "9:16"],
+    type: ["text"],
+    audio: false,
+  },
+  // kling-v2-6(PRO) 图生视频
+  {
+    manufacturer: "kling",
+    model: "kling-v2-6(PRO)",
+    durationResolutionMap: [{ duration: [5, 10], resolution: ["1080p"] }],
+    aspectRatio: [],
+    type: ["startEndRequired"],
+    audio: false,
+  },
+  // ================== ViduQ3系列 ==================
+  // viduq3-pro 文生视频
+  {
+    manufacturer: "vidu",
+    model: "viduq3-pro",
+    durationResolutionMap: [{ duration: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], resolution: ["540p", "720p", "1080p"] }],
+    aspectRatio: ["16:9", "9:16", "3:4", "4:3", "1:1"],
+    type: ["text"],
+    audio: true,
+  },
+  // viduq3-pro 图生视频
+  {
+    manufacturer: "vidu",
+    model: "viduq3-pro",
+    durationResolutionMap: [{ duration: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], resolution: ["540p", "720p", "1080p"] }],
+    aspectRatio: [],
+    type: ["singleImage"],
+    audio: true,
+  },
+  // viduq2-pro-fast 图生视频
+  {
+    manufacturer: "vidu",
+    model: "viduq2-pro-fast",
+    durationResolutionMap: [{ duration: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], resolution: ["720p", "1080p"] }],
+    aspectRatio: [],
+    type: ["singleImage", "startEndRequired"],
+    audio: false,
+  },
+  // viduq2-pro 文生视频
+  {
+    manufacturer: "vidu",
+    model: "viduq2-pro",
+    durationResolutionMap: [{ duration: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], resolution: ["540p", "720p", "1080p"] }],
+    aspectRatio: ["16:9", "9:16", "3:4", "4:3", "1:1"],
+    type: ["text"],
+    audio: false,
+  },
+  // viduq2-pro 图生视频
+  {
+    manufacturer: "vidu",
+    model: "viduq2-pro",
+    durationResolutionMap: [{ duration: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], resolution: ["540p", "720p", "1080p"] }],
+    aspectRatio: [],
+    type: ["singleImage", "reference", "startEndRequired"],
+    audio: false,
+  },
+  // viduq2-turbo 文生视频
+  {
+    manufacturer: "vidu",
+    model: "viduq2-turbo",
+    durationResolutionMap: [{ duration: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], resolution: ["540p", "720p", "1080p"] }],
+    aspectRatio: ["16:9", "9:16", "3:4", "4:3", "1:1"],
+    type: ["text"],
+    audio: false,
+  },
+  // viduq2-turbo 图生视频
+  {
+    manufacturer: "vidu",
+    model: "viduq2-turbo",
+    durationResolutionMap: [{ duration: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], resolution: ["540p", "720p", "1080p"] }],
+    aspectRatio: [],
+    type: ["singleImage", "reference", "startEndRequired"],
+    audio: false,
+  },
+  // viduq1 文生视频
+  {
+    manufacturer: "vidu",
+    model: "viduq1",
+    durationResolutionMap: [{ duration: [5], resolution: ["1080p"] }],
+    aspectRatio: ["16:9", "9:16", "1:1"],
+    type: ["text"],
+    audio: false,
+  },
+  // viduq1 图生视频
+  {
+    manufacturer: "vidu",
+    model: "viduq1",
+    durationResolutionMap: [{ duration: [5], resolution: ["1080p"] }],
+    aspectRatio: [],
+    type: ["singleImage", "reference", "startEndRequired"],
+    audio: false,
+  },
+  // viduq1-classic 图生视频
+  {
+    manufacturer: "vidu",
+    model: "viduq1-classic",
+    durationResolutionMap: [{ duration: [5], resolution: ["1080p"] }],
+    aspectRatio: [],
+    type: ["singleImage", "startEndRequired"],
+    audio: false,
+  },
+  // vidu2.0 图生视频
+  {
+    manufacturer: "vidu",
+    model: "vidu2.0",
+    durationResolutionMap: [
+      { duration: [4], resolution: ["360p", "720p", "1080p"] },
+      { duration: [8], resolution: ["720p"] },
+    ],
+    aspectRatio: [],
+    type: ["singleImage", "reference", "startEndRequired"],
+    audio: false,
+  },
+  // ================== 万象系列 ==================
+  // wan2.6-t2v 文生视频（有声视频）
+  {
+    manufacturer: "wan",
+    model: "wan2.6-t2v",
+    durationResolutionMap: [{ duration: [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], resolution: ["720p", "1080p"] }],
+    aspectRatio: ["16:9", "9:16", "1:1", "4:3", "3:4"],
+    type: ["text"],
+    audio: true,
+  },
+  // wan2.5-t2v-preview 文生视频（有声视频）
+  {
+    manufacturer: "wan",
+    model: "wan2.5-t2v-preview",
+    durationResolutionMap: [{ duration: [5, 10], resolution: ["480p", "720p", "1080p"] }],
+    aspectRatio: ["16:9", "9:16", "1:1", "4:3", "3:4"],
+    type: ["text"],
+    audio: true,
+  },
+  // wan2.2-t2v-plus 文生视频（无声视频）
+  {
+    manufacturer: "wan",
+    model: "wan2.2-t2v-plus",
+    durationResolutionMap: [{ duration: [5], resolution: ["480p", "1080p"] }],
+    aspectRatio: ["16:9", "9:16", "1:1", "4:3", "3:4"],
+    type: ["text"],
+    audio: false,
+  },
+  // wanx2.1-t2v-turbo 文生视频（无声视频）
+  {
+    manufacturer: "wan",
+    model: "wanx2.1-t2v-turbo",
+    durationResolutionMap: [{ duration: [5], resolution: ["480p", "720p"] }],
+    aspectRatio: ["16:9", "9:16", "1:1", "4:3", "3:4"],
+    type: ["text"],
+    audio: false,
+  },
+  // wanx2.1-t2v-plus 文生视频（无声视频）
+  {
+    manufacturer: "wan",
+    model: "wanx2.1-t2v-plus",
+    durationResolutionMap: [{ duration: [5], resolution: ["720p"] }],
+    aspectRatio: ["16:9", "9:16", "1:1", "4:3", "3:4"],
+    type: ["text"],
+    audio: false,
+  },
+  // wan2.6-i2v-flash 图生视频（有声视频&无声视频）
+  {
+    manufacturer: "wan",
+    model: "wan2.6-i2v-flash",
+    durationResolutionMap: [{ duration: [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], resolution: ["720p", "1080p"] }],
+    aspectRatio: [],
+    type: ["singleImage"],
+    audio: true,
+  },
+  // wan2.6-i2v 图生视频（有声视频）
+  {
+    manufacturer: "wan",
+    model: "wan2.6-i2v",
+    durationResolutionMap: [{ duration: [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], resolution: ["720p", "1080p"] }],
+    aspectRatio: [],
+    type: ["singleImage"],
+    audio: true,
+  },
+  // wan2.5-i2v-preview 图生视频（有声视频）
+  {
+    manufacturer: "wan",
+    model: "wan2.5-i2v-preview",
+    durationResolutionMap: [{ duration: [5, 10], resolution: ["480p", "720p", "1080p"] }],
+    aspectRatio: [],
+    type: ["singleImage"],
+    audio: true,
+  },
+  // wan2.2-i2v-flash 图生视频（无声视频）
+  {
+    manufacturer: "wan",
+    model: "wan2.2-i2v-flash",
+    durationResolutionMap: [{ duration: [5], resolution: ["480p", "720p", "1080p"] }],
+    aspectRatio: [],
+    type: ["singleImage"],
+    audio: false,
+  },
+  // wan2.2-i2v-plus 图生视频（无声视频）
+  {
+    manufacturer: "wan",
+    model: "wan2.2-i2v-plus",
+    durationResolutionMap: [{ duration: [5], resolution: ["480p", "1080p"] }],
+    aspectRatio: [],
+    type: ["singleImage"],
+    audio: false,
+  },
+  // wanx2.1-i2v-plus 图生视频（无声视频）
+  {
+    manufacturer: "wan",
+    model: "wanx2.1-i2v-plus",
+    durationResolutionMap: [{ duration: [5], resolution: ["720p"] }],
+    aspectRatio: [],
+    type: ["singleImage"],
+    audio: false,
+  },
+  // wanx2.1-i2v-turbo 图生视频（无声视频）
+  {
+    manufacturer: "wan",
+    model: "wanx2.1-i2v-turbo",
+    durationResolutionMap: [{ duration: [3, 4, 5], resolution: ["480p", "720p"] }],
+    aspectRatio: [],
+    type: ["singleImage"],
+    audio: false,
+  },
+  // wan2.2-kf2v-flash 首尾帧生视频（无声视频）
+  {
+    manufacturer: "wan",
+    model: "wan2.2-kf2v-flash",
+    durationResolutionMap: [{ duration: [5], resolution: ["480p", "720p", "1080p"] }],
+    aspectRatio: [],
+    type: ["startEndRequired"],
+    audio: false,
+  },
+  // wanx2.1-kf2v-plus 首尾帧生视频（无声视频）
+  {
+    manufacturer: "wan",
+    model: "wanx2.1-kf2v-plus",
+    durationResolutionMap: [{ duration: [5], resolution: ["720p"] }],
+    aspectRatio: [],
+    type: ["startEndRequired"],
+    audio: false,
+  },
+  // ================== Gemini Veo 系列 ==================
+  // Veo 3.1 预览版（支持音频）
+  {
+    manufacturer: "gemini",
+    model: "veo-3.1-generate-preview",
+    durationResolutionMap: [
+      { duration: [4, 6], resolution: ["720p"] },
+      { duration: [8], resolution: ["720p", "1080p"] },
+    ],
+    aspectRatio: ["16:9", "9:16"],
+    type: ["text", "singleImage", "startEndRequired", "endFrameOptional", "reference"],
+    audio: true,
+  },
+  // Veo 3.1 Fast 预览版（支持音频）
+  {
+    manufacturer: "gemini",
+    model: "veo-3.1-fast-generate-preview",
+    durationResolutionMap: [
+      { duration: [4, 6], resolution: ["720p"] },
+      { duration: [8], resolution: ["720p", "1080p"] },
+    ],
+    aspectRatio: ["16:9", "9:16"],
+    type: ["text", "singleImage", "startEndRequired", "endFrameOptional", "reference"],
+    audio: true,
+  },
+  // Veo 3 稳定版（支持音频）
+  {
+    manufacturer: "gemini",
+    model: "veo-3.0-generate-preview",
+    durationResolutionMap: [
+      { duration: [4, 6], resolution: ["720p"] },
+      { duration: [8], resolution: ["720p", "1080p"] },
+    ],
+    aspectRatio: ["16:9", "9:16"],
+    type: ["text", "singleImage"],
+    audio: true,
+  },
+  // Veo 3 Fast 稳定版（支持音频）
+  {
+    manufacturer: "gemini",
+    model: "veo-3.0-fast-generate-preview",
+    durationResolutionMap: [
+      { duration: [4, 6], resolution: ["720p"] },
+      { duration: [8], resolution: ["720p", "1080p"] },
+    ],
+    aspectRatio: ["16:9", "9:16"],
+    type: ["text", "singleImage"],
+    audio: true,
+  },
+  // Veo 2 稳定版（无音频）
+  {
+    manufacturer: "gemini",
+    model: "veo-2.0-generate-001",
+    durationResolutionMap: [{ duration: [5, 6, 7, 8], resolution: ["720p"] }],
+    aspectRatio: ["16:9", "9:16"],
+    type: ["text", "singleImage"],
+    audio: false,
+  },
+  // ================== RunningHub 系列 ==================
+  // sora
+  {
+    manufacturer: "runninghub",
+    model: "sora-2",
+    durationResolutionMap: [{ duration: [10, 15], resolution: [] }],
+    aspectRatio: ["16:9", "9:16"],
+    type: ["singleImage", "text"],
+    audio: false,
+  },
+  // sora 2
+  {
+    manufacturer: "runninghub",
+    model: "sora-2-pro",
+    durationResolutionMap: [{ duration: [15, 25], resolution: [] }],
+    aspectRatio: ["16:9", "9:16"],
+    type: ["singleImage", "text"],
+    audio: false,
+  },
+   // ================== Apimart 系列 ==================
+  // sora
+  {
+    manufacturer: "apimart",
+    model: "sora-2",
+    durationResolutionMap: [{ duration: [10, 15], resolution: [] }],
+    aspectRatio: ["16:9", "9:16"],
+    type: ["singleImage", "text"],
+    audio: false,
+  },
+  // sora 2
+  {
+    manufacturer: "apimart",
+    model: "sora-2-pro",
+    durationResolutionMap: [{ duration: [15, 25], resolution: [] }],
+    aspectRatio: ["16:9", "9:16"],
+    type: ["singleImage", "text"],
+    audio: false,
+  },
+];
+
+export default modelList;
diff --git a/src/utils/ai/video/owned/apimart.ts b/src/utils/ai/video/owned/apimart.ts
new file mode 100644
index 0000000..143859a
--- /dev/null
+++ b/src/utils/ai/video/owned/apimart.ts
@@ -0,0 +1,115 @@
+import "../type";
+import axios from "axios";
+import { pollTask } from "@/utils/ai/utils";
+import modelList from "../modelList";
+
+// 上传图片到 apimart 图床
+async function uploadImageToApimart(base64Image: string): Promise<string> {
+  if (base64Image.startsWith("http")) {
+    return base64Image;
+  }
+
+  const presignRes = await axios.post(
+    "https://apimart.ai/api/upload/presign",
+    { contentType: "image/jpeg", fileExtension: "jpeg", permanent: false },
+    { headers: { "Content-Type": "application/json" } },
+  );
+
+  if (!presignRes.data.success || !presignRes.data.presignedUrl || !presignRes.data.cdnUrl) {
+    throw new Error(`获取预签名 URL 失败: ${JSON.stringify(presignRes.data)}`);
+  }
+
+  const { presignedUrl, cdnUrl } = presignRes.data;
+
+  const base64Data = base64Image.replace(/^data:image\/\w+;base64,/, "");
+  const buffer = Buffer.from(base64Data, "base64");
+
+  await axios.put(presignedUrl, buffer, {
+    headers: { "Content-Type": "image/jpeg" },
+  });
+
+  return cdnUrl;
+}
+
+export default async (input: VideoConfig, config: AIConfig) => {
+  if (!config.model) throw new Error("缺少 Model 名称");
+  if (!config.apiKey) throw new Error("缺少 API Key");
+
+  const owned = modelList.find((m) => m.model === config.model);
+  if (!owned) throw new Error(`未找到模型: ${config.model}`);
+
+  // 默认 baseURL 配置
+  const defaultBaseUrl = "https://api.apimart.ai/v1/videos/generations|https://api.apimart.ai/v1/tasks/{taskId}";
+  const [generateUrl, queryUrl] = (config.baseURL || defaultBaseUrl).split("|");
+
+  const authorization = `Bearer ${config.apiKey}`;
+
+  // 上传图片到图床
+  let imageUrls: string[] = [];
+  if (input.imageBase64 && input.imageBase64.length > 0) {
+    for (const base64Image of input.imageBase64) {
+      const imageUrl = await uploadImageToApimart(base64Image);
+      imageUrls.push(imageUrl);
+    }
+  }
+
+  // 构建请求体
+  const requestBody: Record<string, unknown> = {
+    model: config.model,
+    prompt: input.prompt,
+    duration: input.duration,
+    aspect_ratio: input.aspectRatio,
+  };
+
+  if (imageUrls.length > 0) {
+    requestBody.image_urls = imageUrls;
+  }
+
+  // 创建任务
+  const createRes = await axios.post(generateUrl, requestBody, {
+    headers: {
+      Authorization: authorization,
+      "Content-Type": "application/json",
+    },
+  });
+
+  if (createRes.data.code !== 200 || !createRes.data.data?.[0]?.task_id) {
+    throw new Error(`创建任务失败: ${JSON.stringify(createRes.data)}`);
+  }
+
+  const taskId = createRes.data.data[0].task_id;
+  const actualQueryUrl = queryUrl.replace("{taskId}", taskId);
+
+  // 轮询任务状态
+  return await pollTask(async () => {
+    const queryRes = await axios.get(actualQueryUrl, {
+      headers: { Authorization: authorization },
+    });
+
+    const { code, data } = queryRes.data;
+
+    if (code !== 200 || !data) {
+      return { completed: false, error: `查询失败: ${JSON.stringify(queryRes.data)}` };
+    }
+
+    const { status, result, error } = data;
+
+    switch (status) {
+      case "completed":
+        const videoUrl = result?.videos?.[0]?.url?.[0];
+        if (!videoUrl) {
+          return { completed: false, error: "未获取到视频 URL" };
+        }
+        return { completed: true, url: videoUrl };
+      case "failed":
+        return { completed: false, error: error?.message || "任务失败" };
+      case "cancelled":
+        return { completed: false, error: "任务已取消" };
+      case "pending":
+      case "processing":
+        return { completed: false };
+      default:
+        return { completed: false, error: `未知状态: ${status}` };
+    }
+  });
+};
diff --git a/src/utils/ai/video/owned/gemini.ts b/src/utils/ai/video/owned/gemini.ts
new file mode 100644
index 0000000..948c1a0
--- /dev/null
+++ b/src/utils/ai/video/owned/gemini.ts
@@ -0,0 +1,68 @@
+import "../type";
+import fs from "fs";
+import path from "path";
+import axios from "axios";
+import { pollTask, validateVideoConfig } from "@/utils/ai/utils";
+
+const buildInlineImage = (data: string) => ({ inlineData: { mimeType: "image/png", data } });
+
+export default async (input: VideoConfig, config: AIConfig) => {
+  if (!config.model) throw new Error("缺少Model名称");
+  if (!config.apiKey) throw new Error("缺少API Key");
+
+  const { owned, images, hasStartEndType } = validateVideoConfig(input, config);
+
+  const defaultBaseUrl = [
+    "https://generativelanguage.googleapis.com/v1beta/models/{model}:predictLongRunning",
+    "https://generativelanguage.googleapis.com/v1beta/{name}",
+  ].join("|");
+
+  const [submitUrl, queryUrl] = (config.baseURL || defaultBaseUrl).split("|");
+  const headers = { "x-goog-api-key": config.apiKey };
+
+  const instance: Record<string, any> = { prompt: input.prompt };
+  const parameters: Record<string, any> = {
+    aspectRatio: input.aspectRatio,
+    durationSeconds: String(input.duration),
+    ...(input.resolution !== "720p" && { resolution: input.resolution }),
+  };
+
+  // 根据图片数量和模型能力决定图片用法
+  const len = images.length;
+  const hasRef = owned.type.includes("reference");
+  const hasSingle = owned.type.includes("singleImage");
+
+  if (len === 2 && hasStartEndType) {
+    instance.image = buildInlineImage(images[0]);
+    parameters.lastFrame = buildInlineImage(images[1]);
+  } else if (len === 1 && (hasSingle || hasStartEndType)) {
+    instance.image = buildInlineImage(images[0]);
+  } else if (len >= 1 && len <= 3 && hasRef) {
+    parameters.referenceImages = images.map((img) => ({ image: buildInlineImage(img), referenceType: "asset" }));
+  }
+
+  const { data } = await axios.post(
+    submitUrl.replace("{model}", config.model),
+    { instances: [instance], parameters },
+    { headers: { ...headers, "Content-Type": "application/json" } },
+  );
+
+  if (!data.name) throw new Error("未获取到操作名称");
+
+  return pollTask(async () => {
+    const { data: status } = await axios.get(queryUrl.replace("{name}", data.name), { headers });
+    const { done, response, error } = status;
+
+    if (!done) return { completed: false };
+    if (error) return { completed: false, error: `任务失败: ${error.message || JSON.stringify(error)}` };
+
+    const videoUri = response?.generateVideoResponse?.generatedSamples?.[0]?.video?.uri;
+    if (!videoUri) return { completed: false, error: "未获取到视频下载地址" };
+
+    const videoRes = await axios.get(videoUri, { headers, responseType: "arraybuffer", maxRedirects: 5 });
+    const savePath = input.savePath.endsWith(".mp4") ? input.savePath : path.join(input.savePath, `gemini_${Date.now()}.mp4`);
+    fs.writeFileSync(savePath, Buffer.from(videoRes.data));
+
+    return { completed: true, url: savePath };
+  });
+};
\ No newline at end of file
diff --git a/src/utils/ai/video/owned/kling.ts b/src/utils/ai/video/owned/kling.ts
new file mode 100644
index 0000000..bb3c539
--- /dev/null
+++ b/src/utils/ai/video/owned/kling.ts
@@ -0,0 +1,90 @@
+import "../type";
+import axios from "axios";
+import { pollTask, validateVideoConfig } from "@/utils/ai/utils";
+
+export default async (input: VideoConfig, config: AIConfig) => {
+  if (!config.apiKey) throw new Error("缺少API Key");
+  if (!config.baseURL) throw new Error("缺少baseURL配置");
+
+  const { images } = validateVideoConfig(input, config);
+
+  // 解析URL配置：图生视频|文生视频|查询地址
+  const defaultBaseUrl =
+    "https://api-beijing.klingai.com/v1/videos/image2video|https://api-beijing.klingai.com/v1/videos/text2video|https://api-beijing.klingai.com/v1/videos/text2video/{taskId}";
+  const [image2videoUrl, text2videoUrl, queryUrl] = (config.baseURL || defaultBaseUrl).split("|");
+
+  const headers = {
+    Authorization: `Bearer ${config.apiKey}`,
+    "Content-Type": "application/json",
+  };
+
+  // 解析模型名称和模式，例如 "kling-v2-6(PRO)" => modelName: "kling-v2-6", mode: "pro"
+  const modelMatch = config.model!.match(/^(.+)\((STD|PRO)\)$/i);
+  const modelName = modelMatch ? modelMatch[1] : config.model;
+  const mode = modelMatch ? (modelMatch[2].toLowerCase() as "std" | "pro") : "std";
+
+  // 判断是图生视频还是文生视频
+  const hasImage = images.length > 0;
+  const createUrl = hasImage ? image2videoUrl : text2videoUrl;
+
+  // 去除图片的内容类型前缀（kling要求纯base64）
+  const stripDataUrl = (str: string) => str.replace(/^data:image\/[^;]+;base64,/, "");
+
+  // 构建请求体
+  const body: Record<string, unknown> = {
+    model_name: modelName,
+    mode,
+    duration: String(input.duration),
+    prompt: input.prompt,
+    aspect_ratio: input.aspectRatio,
+  };
+
+  if (hasImage) {
+    // 图生视频：首帧和尾帧
+    body.image = stripDataUrl(images[0]);
+    if (images.length > 1) {
+      body.image_tail = stripDataUrl(images[1]);
+    }
+  }
+
+  // 创建任务
+  const createResponse = await axios.post(createUrl, body, { headers });
+  const createData = createResponse.data;
+  if (createData.code !== 0) {
+    throw new Error(`创建任务失败: ${createData.message || "未知错误"}`);
+  }
+
+  const taskId = createData.data?.task_id;
+  if (!taskId) {
+    throw new Error("创建任务失败: 未返回任务ID");
+  }
+
+  // 轮询任务状态
+  return await pollTask(async () => {
+    const queryResponse = await axios.get(`${queryUrl.replace("{taskId}", taskId)}`, { headers });
+    const queryData = queryResponse.data;
+    if (queryData.code !== 0) {
+      return { completed: false, error: `查询失败: ${queryData.message || "未知错误"}` };
+    }
+
+    const task = queryData.data;
+    const taskStatus = task?.task_status;
+
+    switch (taskStatus) {
+      case "succeed": {
+        const videoUrl = task?.task_result?.videos?.[0]?.url;
+        if (!videoUrl) {
+          return { completed: false, error: "任务成功但未返回视频URL" };
+        }
+        return { completed: true, url: videoUrl };
+      }
+      case "failed":
+        return { completed: false, error: `任务失败: ${task?.task_status_msg || "未知原因"}` };
+      case "submitted":
+      case "processing":
+        return { completed: false };
+      default:
+        return { completed: false, error: `未知状态: ${taskStatus}` };
+    }
+  });
+};
diff --git a/src/utils/ai/video/owned/runninghub.ts b/src/utils/ai/video/owned/runninghub.ts
new file mode 100644
index 0000000..df756d2
--- /dev/null
+++ b/src/utils/ai/video/owned/runninghub.ts
@@ -0,0 +1,91 @@
+import "../type";
+import axios from "axios";
+import sharp from "sharp";
+import FormData from "form-data";
+import { pollTask, validateVideoConfig } from "@/utils/ai/utils";
+
+export default async (input: VideoConfig, config: AIConfig) => {
+  if (!config.apiKey) throw new Error("缺少API Key");
+
+  const { owned, images, hasTextType } = validateVideoConfig(input, config);
+
+  const defaultBaseUrl = [
+    "https://www.runninghub.cn/openapi/v2/rhart-video-s/image-to-video",
+    "https://www.runninghub.cn/openapi/v2/rhart-video-s/image-to-video-pro",
+    "https://www.runninghub.cn/openapi/v2/rhart-video-s/text-to-video",
+    "https://www.runninghub.cn/openapi/v2/rhart-video-s/text-to-video-pro",
+    "https://www.runninghub.cn/openapi/v2/rhart-video-s/{taskId}",
+    "https://www.runninghub.cn/openapi/v2/media/upload/binary",
+  ].join("|");
+
+  const [image2videoUrl, image2videoProUrl, text2videoUrl, text2videoProUrl, queryUrl, uploadUrl] = (config.baseURL || defaultBaseUrl).split("|");
+
+  const isPro = owned.model === "sora-2-pro";
+  const authorization = `Bearer ${config.apiKey}`;
+
+  // 上传 base64 图片
+  const uploadImage = async (base64Image: string): Promise<string> => {
+    const base64Data = base64Image.replace(/^data:image\/\w+;base64,/, "");
+    let buffer: Buffer = Buffer.from(base64Data, "base64");
+    const MAX_SIZE = 5 * 1024 * 1024;
+
+    if (buffer.length > MAX_SIZE) {
+      for (let quality = 90; buffer.length > MAX_SIZE && quality > 10; quality -= 10) {
+        buffer = await sharp(buffer).jpeg({ quality, mozjpeg: true }).toBuffer();
+      }
+      if (buffer.length > MAX_SIZE) {
+        const { width = 1920, height = 1080 } = await sharp(buffer).metadata();
+        const scale = Math.sqrt(MAX_SIZE / buffer.length);
+        buffer = await sharp(buffer)
+          .resize({ width: Math.floor(width * scale), height: Math.floor(height * scale), fit: "inside" })
+          .jpeg({ quality: 80, mozjpeg: true })
+          .toBuffer();
+      }
+    }
+
+    const formData = new FormData();
+    formData.append("file", buffer, { filename: "image.jpg", contentType: "image/jpeg" });
+
+    const { data } = await axios.post(uploadUrl, formData, {
+      headers: { Authorization: authorization },
+    });
+
+    if (data.code !== 0 || !data.data?.download_url) {
+      throw new Error(`图片上传失败: ${JSON.stringify(data)}`);
+    }
+    return data.data.download_url;
+  };
+
+  // 提交任务
+  const submitTask = async (url: string, body: Record<string, unknown>) => {
+    const { data } = await axios.post(url, body, {
+      headers: { "Content-Type": "application/json", Authorization: authorization },
+    });
+    if (data.status === "FAILED") throw new Error(`任务提交失败: ${data.errorMessage || "未知错误"}`);
+    return { taskId: data.taskId, status: data.status, url: data.results?.[0]?.url };
+  };
+
+  const isTextToVideo = images.length === 0 && hasTextType;
+  const submitUrl = isTextToVideo ? (isPro ? text2videoProUrl : text2videoUrl) : isPro ? image2videoProUrl : image2videoUrl;
+
+  const requestBody: Record<string, unknown> = {
+    prompt: input.prompt,
+    duration: String(input.duration),
+    aspectRatio: input.aspectRatio,
+    ...(isTextToVideo ? {} : { imageUrl: await uploadImage(images[0]) }),
+  };
+
+  const { taskId } = await submitTask(submitUrl, requestBody);
+
+  return await pollTask(async () => {
+    const { data } = await axios.get(queryUrl.replace("{taskId}", taskId), {
+      headers: { Authorization: authorization },
+    });
+    if (data.status === "SUCCESS") {
+      return data.results?.length ? { completed: true, url: data.results[0].url } : { completed: false, error: "任务成功但未返回视频链接" };
+    }
+    if (data.status === "FAILED") return { completed: false, error: `任务失败: ${data.errorMessage || "未知错误"}` };
+    if (data.status === "QUEUED" || data.status === "RUNNING") return { completed: false };
+    return { completed: false, error: `未知状态: ${data.status}` };
+  });
+};
diff --git a/src/utils/ai/video/owned/vidu.ts b/src/utils/ai/video/owned/vidu.ts
new file mode 100644
index 0000000..86cac52
--- /dev/null
+++ b/src/utils/ai/video/owned/vidu.ts
@@ -0,0 +1,132 @@
+import "../type";
+import axios from "axios";
+import { pollTask, validateVideoConfig } from "@/utils/ai/utils";
+import modelList from "../modelList";
+
+export default async (input: VideoConfig, config: AIConfig) => {
+  if (!config.model) throw new Error("缺少Model名称");
+  if (!config.apiKey) throw new Error("缺少API Key");
+  if (!input.prompt && (!input.imageBase64 || input.imageBase64.length === 0)) {
+    throw new Error("至少需要提供prompt或图片");
+  }
+
+  const defaultBaseUrl = ["https://api.vidu.cn/ent/v2/text2video", "https://api.vidu.cn/ent/v2/img2video", "https://api.vidu.cn/ent/v2/tasks"].join(
+    "|",
+  );
+
+  const [text2videoUrl, image2videoUrl, queryUrl] = (config.baseURL || defaultBaseUrl).split("|");
+
+  const authorization = `Token ${config.apiKey}`;
+  const hasImages = input.imageBase64 && input.imageBase64.length > 0;
+
+  // 根据是否有图片，查找匹配的模型配置
+  const customOwned = modelList.find((m) => {
+    if (m.manufacturer !== "vidu") return false;
+    if (m.model !== config.model) return false;
+    if (hasImages) {
+      return m.type.some((t) => t !== "text");
+    } else {
+      return m.type.includes("text");
+    }
+  });
+
+  if (!customOwned) {
+    throw new Error(`未找到匹配的模型配置: ${config.model}`);
+  }
+
+  // 使用统一校验函数
+  const { owned, images } = validateVideoConfig(input, config, customOwned);
+
+  // 判断生成类型
+  const genType: "text" | "image" = images.length === 0 ? "text" : "image";
+
+  // 校验宽高比（仅文生视频需要）
+  if (genType === "text" && owned.aspectRatio.length > 0 && !owned.aspectRatio.includes(input.aspectRatio as `${number}:${number}`)) {
+    throw new Error(`模型 ${owned.model} 不支持宽高比 ${input.aspectRatio}，支持的宽高比：${owned.aspectRatio.join("、")}`);
+  }
+
+  // 创建任务
+  let taskId: string;
+
+  if (genType === "text") {
+    // 文生视频
+    const requestBody: Record<string, unknown> = {
+      model: owned.model,
+      prompt: input.prompt,
+      duration: input.duration,
+      resolution: input.resolution,
+      aspect_ratio: input.aspectRatio,
+    };
+    if (owned.audio && input.audio !== undefined) {
+      requestBody.audio = input.audio;
+    }
+
+    const response = await axios.post(text2videoUrl, requestBody, {
+      headers: {
+        "Content-Type": "application/json",
+        Authorization: authorization,
+      },
+    });
+    taskId = response.data.task_id;
+  } else {
+    // 图生视频
+    const requestBody: Record<string, unknown> = {
+      model: owned.model,
+      images: images,
+      duration: input.duration,
+      resolution: input.resolution,
+    };
+    if (input.prompt) {
+      requestBody.prompt = input.prompt;
+    }
+    if (owned.audio && input.audio !== undefined) {
+      requestBody.audio = input.audio;
+    }
+
+    const response = await axios.post(image2videoUrl, requestBody, {
+      headers: {
+        "Content-Type": "application/json",
+        Authorization: authorization,
+      },
+    });
+    taskId = response.data.task_id;
+  }
+
+  // 轮询任务状态
+  return await pollTask(async () => {
+    const response = await axios.get(queryUrl, {
+      headers: {
+        "Content-Type": "application/json",
+        Authorization: authorization,
+      },
+      params: {
+        task_ids: [taskId],
+      },
+    });
+
+    const tasks = response.data.tasks;
+    if (!tasks || tasks.length === 0) {
+      return { completed: false, error: "任务不存在" };
+    }
+
+    const task = tasks[0];
+
+    switch (task.state) {
+      case "success": {
+        const creation = task.creations?.[0];
+        return {
+          completed: true,
+          url: creation?.url,
+        };
+      }
+      case "failed":
+        return { completed: false, error: "任务生成失败" };
+      case "created":
+      case "queueing":
+      case "processing":
+        return { completed: false };
+      default:
+        return { completed: false, error: `未知状态: ${task.state}` };
+    }
+  });
+};
diff --git a/src/utils/ai/video/owned/volcengine.ts b/src/utils/ai/video/owned/volcengine.ts
index 9f9aa1d..25e1ec4 100644
--- a/src/utils/ai/video/owned/volcengine.ts
+++ b/src/utils/ai/video/owned/volcengine.ts
@@ -1,56 +1,74 @@
 import "../type";
 import axios from "axios";
-import { pollTask } from "@/utils/ai/utils";
+import { pollTask, validateVideoConfig } from "@/utils/ai/utils";
 
-interface DoubaoVideoConfig {
-  prompt: string;
-  savePath: string;
-  imageBase64?: string[]; // 单张参考图片 base64
-  duration: 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12; // 支持 2~12 秒
-  aspectRatio: "16:9" | "9:16" | "1:1" | "4:3" | "3:4" | "21:9" | "adaptive";
-  audio?: boolean;
-}
-
-export default async (input: ImageConfig, config: AIConfig) => {
-  console.log("%c Line:5 🍓 input", "background:#7f2b82", input);
-  console.log("%c Line:5 🍎 config", "background:#93c0a4", config);
-  if (!config.model) throw new Error("缺少Model名称");
+export default async (input: VideoConfig, config: AIConfig) => {
   if (!config.apiKey) throw new Error("缺少API Key");
 
-  const key = "Bearer " + config.apiKey.replaceAll("Bearer ", "").trim();
+  const { owned, images, hasStartEndType } = validateVideoConfig(input, config);
 
-  const doubaoConfig = config as DoubaoVideoConfig;
-  const createRes = await axios.post(
-    config.baseURL ?? "https://ark.cn-beijing.volces.com/api/v3/contents/generations/tasks",
-    {
-      model: "doubao-seedance-1-5-pro-251215",
-      content: [
-        { type: "text", text: input.prompt },
-        ...(doubaoConfig.imageBase64
-          ? doubaoConfig.imageBase64.map((base64, i) => ({
-              type: "image_url",
-              image_url: { url: base64 },
-              role: i === 0 ? "first_frame" : "last_frame",
-            }))
-          : []),
-      ],
-      generate_audio: doubaoConfig.audio ?? false,
-      duration: doubaoConfig.duration,
-      resolution: doubaoConfig.aspectRatio,
-      watermark: false,
+  const authorization = "Bearer " + config.apiKey.replace(/^Bearer\s*/i, "").trim();
+  const baseUrl = config.baseURL ?? "https://ark.cn-beijing.volces.com/api/v3/contents/generations/tasks";
+
+  // 判断是否为首尾帧模式（需要两张图且类型支持首尾帧）
+  const isStartEndMode = images.length === 2 && hasStartEndType;
+
+  // 构建图片内容
+  const imageContent = images.map((base64, index) => {
+    const item: Record<string, any> = {
+      type: "image_url",
+      image_url: { url: base64 },
+    };
+    if (isStartEndMode) {
+      item.role = index === 0 ? "first_frame" : "last_frame";
+    }
+    return item;
+  });
+
+  // 构建请求体
+  const requestBody: Record<string, any> = {
+    model: config.model,
+    content: [{ type: "text", text: input.prompt }, ...imageContent],
+    duration: input.duration,
+    resolution: input.resolution,
+    watermark: false,
+  };
+
+  // 仅当模型支持音频时才添加 generate_audio 字段
+  if (owned.audio) {
+    requestBody.generate_audio = input.audio ?? false;
+  }
+  // 创建视频生成任务
+  const createResponse = await axios.post(baseUrl, requestBody, {
+    headers: {
+      "Content-Type": "application/json",
+      Authorization: authorization,
     },
-    { headers: { "Content-Type": "application/json", Authorization: key } },
-  );
-  const taskId = createRes.data.id;
+  });
+
+  const taskId = createResponse.data.id;
   if (!taskId) throw new Error("视频任务创建失败");
+
+  // 轮询任务状态
   return await pollTask(async () => {
-    const res = await axios.get(`${config.baseURL ?? "https://ark.cn-beijing.volces.com/api/v3/contents/generations/tasks"}/${taskId}`, {
-      headers: { Authorization: key },
-    });
-    const { status, content } = res.data;
-    if (status === "succeeded") return { completed: true, imageUrl: content?.video_url };
-    if (["failed", "cancelled", "expired"].includes(status)) return { completed: false, error: `任务${status}` };
-    if (["queued", "running"].includes(status)) return { completed: false };
-    return { completed: false, error: `未知状态: ${status}` };
+    const { status, content } = (
+      await axios.get(`${baseUrl}/${taskId}`, {
+        headers: { Authorization: authorization },
+      })
+    ).data;
+
+    switch (status) {
+      case "succeeded":
+        return { completed: true, url: content?.video_url };
+      case "failed":
+      case "cancelled":
+      case "expired":
+        return { completed: false, error: `任务${status}` };
+      case "queued":
+      case "running":
+        return { completed: false };
+      default:
+        return { completed: false, error: `未知状态: ${status}` };
+    }
   });
 };
diff --git a/src/utils/ai/video/owned/wan.ts b/src/utils/ai/video/owned/wan.ts
new file mode 100644
index 0000000..e319ad6
--- /dev/null
+++ b/src/utils/ai/video/owned/wan.ts
@@ -0,0 +1,168 @@
+import "../type";
+import axios from "axios";
+import { pollTask, validateVideoConfig } from "@/utils/ai/utils";
+
+// 根据分辨率档位和宽高比计算具体尺寸
+const getSizeFromConfig = (resolution: string, aspectRatio: string): string => {
+  const sizeMap: Record<string, Record<string, string>> = {
+    "480p": {
+      "16:9": "832*480",
+      "9:16": "480*832",
+      "1:1": "624*624",
+    },
+    "720p": {
+      "16:9": "1280*720",
+      "9:16": "720*1280",
+      "1:1": "960*960",
+      "4:3": "1088*832",
+      "3:4": "832*1088",
+    },
+    "1080p": {
+      "16:9": "1920*1080",
+      "9:16": "1080*1920",
+      "1:1": "1440*1440",
+      "4:3": "1632*1248",
+      "3:4": "1248*1632",
+    },
+  };
+
+  const resolutionKey = resolution.toLowerCase();
+  const size = sizeMap[resolutionKey]?.[aspectRatio];
+
+  if (!size) {
+    throw new Error(`不支持的分辨率(${resolution})和宽高比(${aspectRatio})组合`);
+  }
+
+  return size;
+};
+
+export default async (input: VideoConfig, config: AIConfig) => {
+  if (!config.apiKey) throw new Error("缺少API Key");
+
+  const { owned, images, hasStartEndType, hasTextType } = validateVideoConfig(input, config);
+
+  const defaultBaseUrl = [
+    "https://dashscope.aliyuncs.com/api/v1/services/aigc/video-generation/video-synthesis",
+    "https://dashscope.aliyuncs.com/api/v1/services/aigc/image2video/video-synthesis",
+    "https://dashscope.aliyuncs.com/api/v1/tasks/{taskId}",
+  ].join("|");
+
+  const [i2vUrl, kf2vUrl, queryUrl] = (config.baseURL || defaultBaseUrl).split("|");
+
+  const types = owned.type;
+  const authorization = `Bearer ${config.apiKey}`;
+
+  // 确定端点和构建请求体
+  let submitUrl: string;
+  let body: Record<string, any>;
+
+  if (hasTextType && images.length === 0) {
+    // 文本生视频
+    submitUrl = i2vUrl;
+    body = {
+      model: config.model,
+      input: {
+        prompt: input.prompt,
+      },
+      parameters: {
+        size: getSizeFromConfig(input.resolution, input.aspectRatio),
+        duration: input.duration,
+      },
+    };
+  } else if (types.includes("singleImage")) {
+    // 图生视频
+    submitUrl = i2vUrl;
+    body = {
+      model: config.model,
+      input: {
+        prompt: input.prompt,
+        img_url: images[0],
+      },
+      parameters: {
+        resolution: input.resolution.toUpperCase(),
+        duration: input.duration,
+      },
+    };
+    // audio参数仅部分模型支持
+    if (owned.audio && input.audio !== undefined) {
+      body.parameters.audio = input.audio;
+    }
+  } else if (hasStartEndType) {
+    // 首尾帧
+    submitUrl = kf2vUrl;
+    const inputObj: Record<string, any> = {
+      prompt: input.prompt,
+      first_frame_url: images[0],
+    };
+    // 尾帧处理
+    if (types.includes("startEndRequired")) {
+      inputObj.last_frame_url = images[1];
+    } else if ((types.includes("endFrameOptional") || types.includes("startFrameOptional")) && images.length >= 2) {
+      inputObj.last_frame_url = images[1];
+    }
+    body = {
+      model: config.model,
+      input: inputObj,
+      parameters: {
+        resolution: input.resolution.toUpperCase(),
+        duration: input.duration,
+      },
+    };
+  } else {
+    throw new Error(`不支持的视频生成类型: ${types.join(", ")}`);
+  }
+
+  // 提交任务
+  const submitResponse = await axios.post(submitUrl, body, {
+    headers: {
+      "Content-Type": "application/json",
+      Authorization: authorization,
+      "X-DashScope-Async": "enable",
+    },
+  });
+
+  const submitData = submitResponse.data;
+  if (submitData.code) {
+    throw new Error(`任务提交失败: [${submitData.code}] ${submitData.message}`);
+  }
+
+  const taskId = submitData.output?.task_id;
+  if (!taskId) {
+    throw new Error("任务提交失败: 未返回task_id");
+  }
+
+  // 轮询任务状态
+  return await pollTask(async () => {
+    const response = await axios.get(queryUrl.replace("{taskId}", taskId), {
+      headers: { Authorization: authorization },
+    });
+
+    const data = response.data;
+
+    // 顶层错误
+    if (data.code) {
+      return { completed: false, error: `[${data.code}] ${data.message}` };
+    }
+
+    const taskStatus = data.output?.task_status;
+
+    switch (taskStatus) {
+      case "SUCCEEDED":
+        return { completed: true, url: data.output?.video_url };
+      case "FAILED":
+        return {
+          completed: false,
+          error: `任务失败: [${data.output?.code || "UNKNOWN"}] ${data.output?.message || "未知错误"}`,
+        };
+      case "CANCELED":
+        return { completed: false, error: "任务已取消" };
+      case "UNKNOWN":
+        return { completed: false, error: "任务不存在或状态未知" };
+      case "PENDING":
+      case "RUNNING":
+        return { completed: false };
+      default:
+        return { completed: false, error: `未知状态: ${taskStatus}` };
+    }
+  });
+};
diff --git a/src/utils/ai/video/type.ts b/src/utils/ai/video/type.ts
new file mode 100644
index 0000000..1687c0b
--- /dev/null
+++ b/src/utils/ai/video/type.ts
@@ -0,0 +1,15 @@
+interface VideoConfig {
+  duration: 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12;
+  resolution: "480p" | "720p" | "1080p" | "2K" | "4K";
+  aspectRatio: "16:9" | "9:16";
+  prompt: string;
+  savePath: string;
+  imageBase64?: string[];
+  audio?: boolean;
+}
+
+interface AIConfig {
+  model?: string;
+  apiKey?: string;
+  baseURL?: string;
+}