接入grsai

src/lib/initDB.ts

@@ -644,6 +644,11 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
           { manufacturer: "vidu", model: "viduq2", grid: 0, type: "ti2i" },
           { manufacturer: "runninghub", model: "nanobanana", grid: 1, type: "ti2i" },
           { manufacturer: "modelScope", model: "Qwen/Qwen-Image", grid: 1, type: "ti2i" },
+          { manufacturer: "grsai", model: "nano-banana-fast", grid: 1, type: "ti2i" },
+          { manufacturer: "grsai", model: "nano-banana-pro", grid: 1, type: "ti2i" },
+          { manufacturer: "grsai", model: "nano-banana", grid: 1, type: "ti2i" },
+          { manufacturer: "grsai", model: "nano-banana-2", grid: 1, type: "ti2i" },
+
         ]);
       },
     },
@@ -1103,6 +1108,67 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             audio: 0,
             type: JSON.stringify(["singleImage", "text"]),
           },
+          {
+            id: 48,
+            manufacturer: "grsai",
+            model: "sora-2",
+            durationResolutionMap: JSON.stringify([{ duration: [10, 15], resolution: [] }]),
+            aspectRatio: JSON.stringify(["16:9", "9:16"]),
+            audio: 0,
+            type: JSON.stringify(["singleImage", "text"]),
+          },
+          {
+            id: 49,
+            manufacturer: "grsai",
+            model: "veo3.1-pro",
+            durationResolutionMap: JSON.stringify([]),
+            aspectRatio: JSON.stringify(["16:9", "9:16"]),
+            audio: 0,
+            type: JSON.stringify(["startEndRequired", "text"]),
+          },
+
+          {
+            id: 50,
+            manufacturer: "grsai",
+            model: "veo3.1-pro-1080p",
+            durationResolutionMap: JSON.stringify([]),
+            aspectRatio: JSON.stringify(["16:9", "9:16"]),
+            audio: 0,
+            type: JSON.stringify(["startEndRequired", "text"]),
+          },{
+            id: 51,
+            manufacturer: "grsai",
+            model: "veo3.1-pro-4k",
+            durationResolutionMap: JSON.stringify([]),
+            aspectRatio: JSON.stringify(["16:9", "9:16"]),
+            audio: 0,
+            type: JSON.stringify(["startEndRequired", "text"]),
+          },{
+            id: 52,
+            manufacturer: "grsai",
+            model: "veo3.1-fast",
+            durationResolutionMap: JSON.stringify([]),
+            aspectRatio: JSON.stringify(["16:9", "9:16"]),
+            audio: 0,
+            type: JSON.stringify(["startEndRequired", "text"]),
+          },
+          {
+            id: 53,
+            manufacturer: "grsai",
+            model: "veo3.1-fast-1080p",
+            durationResolutionMap: JSON.stringify([]),
+            aspectRatio: JSON.stringify(["16:9", "9:16"]),
+            audio: 0,
+            type: JSON.stringify(["startEndRequired", "text"]),
+          },{
+            id: 54,
+            manufacturer: "grsai",
+            model: "veo3.1-fast-4k",
+            durationResolutionMap: JSON.stringify([]),
+            aspectRatio: JSON.stringify(["16:9", "9:16"]),
+            audio: 0,
+            type: JSON.stringify(["startEndRequired", "text"]),
+          },
         ]);
       },
     },

src/router.ts

@@ -1,4 +1,4 @@
-// @routes-hash e13311bd461bd8de8701383106557048
+// @routes-hash c97cf72361299980ea4b0c43549a0de8
 import { Express } from "express";
 
 import route1 from "./routes/assets/addAssets";
@@ -69,19 +69,20 @@ import route65 from "./routes/storyboard/uploadImage";
 import route66 from "./routes/task/getTaskApi";
 import route67 from "./routes/task/taskDetails";
 import route68 from "./routes/user/getUser";
-import route69 from "./routes/video/addVideo";
-import route70 from "./routes/video/addVideoConfig";
-import route71 from "./routes/video/deleteVideoConfig";
-import route72 from "./routes/video/generatePrompt";
-import route73 from "./routes/video/generateVideo";
-import route74 from "./routes/video/getManufacturer";
-import route75 from "./routes/video/getVideo";
-import route76 from "./routes/video/getVideoConfigs";
-import route77 from "./routes/video/getVideoModel";
-import route78 from "./routes/video/getVideoStoryboards";
-import route79 from "./routes/video/reviseVideoStoryboards";
-import route80 from "./routes/video/saveVideo";
-import route81 from "./routes/video/upDateVideoConfig";
+import route69 from "./routes/user/saveUser";
+import route70 from "./routes/video/addVideo";
+import route71 from "./routes/video/addVideoConfig";
+import route72 from "./routes/video/deleteVideoConfig";
+import route73 from "./routes/video/generatePrompt";
+import route74 from "./routes/video/generateVideo";
+import route75 from "./routes/video/getManufacturer";
+import route76 from "./routes/video/getVideo";
+import route77 from "./routes/video/getVideoConfigs";
+import route78 from "./routes/video/getVideoModel";
+import route79 from "./routes/video/getVideoStoryboards";
+import route80 from "./routes/video/reviseVideoStoryboards";
+import route81 from "./routes/video/saveVideo";
+import route82 from "./routes/video/upDateVideoConfig";
 
 export default async (app: Express) => {
   app.use("/assets/addAssets", route1);
@@ -152,17 +153,18 @@ export default async (app: Express) => {
   app.use("/task/getTaskApi", route66);
   app.use("/task/taskDetails", route67);
   app.use("/user/getUser", route68);
-  app.use("/video/addVideo", route69);
-  app.use("/video/addVideoConfig", route70);
-  app.use("/video/deleteVideoConfig", route71);
-  app.use("/video/generatePrompt", route72);
-  app.use("/video/generateVideo", route73);
-  app.use("/video/getManufacturer", route74);
-  app.use("/video/getVideo", route75);
-  app.use("/video/getVideoConfigs", route76);
-  app.use("/video/getVideoModel", route77);
-  app.use("/video/getVideoStoryboards", route78);
-  app.use("/video/reviseVideoStoryboards", route79);
-  app.use("/video/saveVideo", route80);
-  app.use("/video/upDateVideoConfig", route81);
+  app.use("/user/saveUser", route69);
+  app.use("/video/addVideo", route70);
+  app.use("/video/addVideoConfig", route71);
+  app.use("/video/deleteVideoConfig", route72);
+  app.use("/video/generatePrompt", route73);
+  app.use("/video/generateVideo", route74);
+  app.use("/video/getManufacturer", route75);
+  app.use("/video/getVideo", route76);
+  app.use("/video/getVideoConfigs", route77);
+  app.use("/video/getVideoModel", route78);
+  app.use("/video/getVideoStoryboards", route79);
+  app.use("/video/reviseVideoStoryboards", route80);
+  app.use("/video/saveVideo", route81);
+  app.use("/video/upDateVideoConfig", route82);
 }

src/routes/assets/generateAssets.ts

@@ -124,6 +124,7 @@ export default router.post(
       assetsId: id,
     });
     const apiConfig = await u.getPromptAi("assetsImage");
+
     try {
       const contentStr = await u.ai.image(
         {

src/routes/other/testAI.ts

@@ -48,7 +48,6 @@ export default router.post(
       );
       res.status(200).send(success(reply));
     } catch (err) {
-      console.log("%c Line:51 🥟 err", "background:#e41a6a", err);
       const msg = u.error(err).message;
       console.error(msg);
       res.status(500).send(error(msg));

src/routes/storyboard/delStoryboard.ts

@@ -12,7 +12,6 @@ export default router.post(
   }),
   async (req, res) => {
     const { id } = req.body;
-    console.log("%c Line:15 🍕 id", "background:#f5ce50", id);
     await u.db("t_assets").where("id", id).delete();
     res.status(200).send(success("分镜删除成功"));
   },

src/utils/ai/image/index.ts

@@ -11,6 +11,7 @@ import apimart from "./owned/apimart";
 import other from "./owned/other";
 import gemini from "./owned/gemini";
 import modelScope from "./owned/modelScope";
+import grsai from "./owned/grsai";
 
 const urlToBase64 = async (url: string): Promise<string> => {
   const res = await axios.get(url, { responseType: "arraybuffer" });
@@ -28,6 +29,7 @@ const modelInstance = {
   // apimart: apimart,
   modelScope,
   other,
+  grsai
 } as const;
 
 export default async (input: ImageConfig, config: AIConfig) => {

src/utils/ai/image/owned/grsai.ts

@@ -0,0 +1,92 @@
+import axios from "axios";
+import u from "@/utils";
+import { pollTask } from "@/utils/ai/utils";
+function getApiUrl(apiUrl: string) {
+  if (apiUrl.includes("|")) {
+    const parts = apiUrl.split("|");
+    if (parts.length !== 2 || !parts[0].trim() || !parts[1].trim()) {
+      throw new Error("url 格式错误，请使用 url1|url2 格式");
+    }
+    return { requestUrl: parts[0].trim(), queryUrl: parts[1].trim() };
+  }
+  throw new Error("请填写正确的url");
+}
+function template(replaceObj: Record<string, any>, url: string) {
+  return url.replace(/\{(\w+)\}/g, (match, varName) => {
+    return replaceObj.hasOwnProperty(varName) ? replaceObj[varName] : match;
+  });
+}
+async function processImages(imageBase64: string[]): Promise<Array<string>> {
+  let images = imageBase64.filter((img) => img?.trim());
+  if (images.length === 0) return [];
+
+  // 压缩所有图片到10MB以内
+  images = await Promise.all(images.map((img) => u.imageTools.compressImage(img, "10mb")));
+
+  // 参考主体数量和参考图片数量之和不得超过10
+  if (images.length > 6) {
+    const mergeImageList = images.splice(5);
+    const mergedImage = await u.imageTools.mergeImages(mergeImageList, "10mb");
+    images.push(mergedImage);
+  }
+
+  return images;
+}
+
+export default async (input: ImageConfig, config: AIConfig): Promise<string> => {
+  if (!config.apiKey) throw new Error("缺少API Key");
+  const apiKey = config.apiKey.replace("Bearer ", "");
+
+  const defaultBaseURL = "https://grsai.dakka.com.cn/v1/draw/nano-banana|https://grsai.dakka.com.cn/v1/draw/result";
+
+  const { requestUrl, queryUrl } = getApiUrl(config.baseURL! || defaultBaseURL);
+  // 构建完整的提示词
+  const fullPrompt = input.systemPrompt ? `${input.systemPrompt}\n\n${input.prompt}` : input.prompt;
+
+  let mergedImage = await processImages(input.imageBase64 || []);
+
+  const taskBody: Record<string, any> = {
+    model: config.model,
+    prompt: fullPrompt,
+    imageSize: input.size,
+    aspectRatio: input.aspectRatio,
+    ...(mergedImage && mergedImage.length ? { urls: mergedImage } : {}),
+    webHook: "-1",
+  };
+
+  try {
+    
+    const { data } = await axios.post(requestUrl, taskBody, { headers: { Authorization: `Bearer ${apiKey}` } });
+    
+
+    if (data.code != 0) throw new Error(`任务提交失败: ${data ? JSON.stringify(data, null, 2) : "未知错误"}`);
+
+    return await pollTask(async () => {
+      const { data: queryData } = await axios.post(
+        queryUrl,
+        {
+          id: data.data.id,
+        },
+        {
+          headers: { Authorization: `Bearer ${apiKey}` },
+        },
+      );
+      
+      if (queryData.code != 0) throw new Error(`查询任务失败: ${queryData ? JSON.stringify(queryData, null, 2) : "未知错误"}`);
+      const { status, results, error, failure_reason } = queryData.data || {};
+
+      if (status === "failed") {
+        return { completed: false, error: failure_reason + "\n" + error || "图片生成失败" };
+      }
+
+      if (status === "succeeded") {
+        return { completed: true, url: results?.[0].url };
+      }
+
+      return { completed: false };
+    });
+  } catch (error: any) {
+    const msg = u.error(error).message || "图片生成失败";
+    throw new Error(msg);
+  }
+};

src/utils/ai/image/owned/modelScope.ts

@@ -119,7 +119,6 @@ export default async (input: ImageConfig, config: AIConfig): Promise<string> =>
       return { completed: false };
     });
   } catch (error: any) {
-    console.error("%c Line:90 🥪 error", "background:#93c0a4", error.response?.data?.errors?.message);
     const msg = u.error(error).message || "图片生成失败";
     throw new Error(msg);
   }

src/utils/ai/image/owned/runninghub.ts

@@ -68,11 +68,12 @@ export default async (input: ImageConfig, config: AIConfig): Promise<string> =>
   const apiKey = config.apiKey.replace("Bearer ", "");
   const baseURL = "https://www.runninghub.cn";
   const imageUrls = await Promise.all(input.imageBase64.map((base64Image) => uploadBase64ToRunninghub(base64Image, apiKey, baseURL)));
+  const fullPrompt = input.systemPrompt ? `${input.systemPrompt}\n\n${input.prompt}` : input.prompt;
 
   const endpoint = input.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: input.prompt, resolution: input.size, aspectRatio: input.aspectRatio, ...(imageUrls.length > 0 && { imageUrls }) },
+    { prompt: fullPrompt, resolution: input.size, aspectRatio: input.aspectRatio, ...(imageUrls.length > 0 && { imageUrls }) },
     { headers: { Authorization: "Bearer " + apiKey } },
   );
   const taskId = taskRes.data.taskId;

src/utils/ai/image/owned/volcengine.ts

@@ -18,9 +18,11 @@ export default async (input: ImageConfig, config: AIConfig): Promise<string> =>
       "4K": "2304x4096",
     },
   };
+  const fullPrompt = input.systemPrompt ? `${input.systemPrompt}\n\n${input.prompt}` : input.prompt;
+
   const body: Record<string, any> = {
     model: config.model,
-    prompt: input.prompt,
+    prompt: fullPrompt,
     size: sizeMap[input.aspectRatio][size],
     response_format: "url",
     sequential_image_generation: "disabled",

src/utils/ai/text/index.ts

@@ -30,7 +30,7 @@ const buildOptions = async (input: AIInput<any>, config: AIConfig = {}) => {
   if (manufacturer == "other") {
     owned = modelList.find((m) => m.manufacturer === manufacturer);
   } else {
-    owned = modelList.find((m) => m.model === model);
+    owned = modelList.find((m) => m.model === model && m.manufacturer === manufacturer);
     if (!owned) owned = modelList.find((m) => m.manufacturer === manufacturer);
   }
   if (!owned) throw new Error("不支持的厂商");
@@ -54,7 +54,7 @@ const buildOptions = async (input: AIInput<any>, config: AIConfig = {}) => {
   };
 
   const output = input.output ? (outputBuilders[owned.responseFormat]?.(input.output) ?? null) : null;
-  const chatModelManufacturer = ["volcengine", "other", "openai", "modelScope"];
+  const chatModelManufacturer = ["volcengine", "other", "openai", "modelScope","grsai"];
   const modelFn = chatModelManufacturer.includes(owned.manufacturer) ? (modelInstance as OpenAIProvider).chat(model!) : modelInstance(model!);
 
   return {

src/utils/ai/text/modelList.ts

@@ -30,13 +30,12 @@ const instanceMap = {
   openai: createOpenAI,
   zhipu: createZhipu,
   qwen: createQwen,
-
   gemini: createGoogleGenerativeAI,
-
   anthropic: createAnthropic,
   modelScope: (options: OpenAIProviderSettings) => createOpenAI({ ...options, headers: { ...options?.headers, "X-ModelScope-Async-Mode": "true" } }),
   xai: createXai,
   other: createOpenAI,
+  grsai:createOpenAI
 };
 const modelList: Owned[] = [
   // DeepSeek

src/utils/ai/video/index.ts

@@ -11,7 +11,7 @@ import runninghub from "./owned/runninghub";
 import gemini from "./owned/gemini";
 import apimart from "./owned/apimart";
 import other from "./owned/other";
-
+import grsai from "./owned/grsai";
 const modelInstance = {
   volcengine: volcengine,
   kling: kling,
@@ -20,7 +20,8 @@ const modelInstance = {
   gemini: gemini,
   runninghub: runninghub,
   apimart: apimart,
-  // other: other,
+  other: other,
+  grsai:grsai
 } as const;
 
 export default async (input: VideoConfig, config?: AIConfig) => {

src/utils/ai/video/owned/grsai.ts

@@ -0,0 +1,76 @@
+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://grsai.dakka.com.cn/v1/video/{model}", "https://grsai.dakka.com.cn/v1/draw/result"].join("|");
+
+  const [submitUrl, queryUrl] = (config.baseURL || defaultBaseUrl).split("|");
+
+  const headers = { Authorization: "Bearer " + config.apiKey };
+  let inputObj: Record<string, any> = {};
+  let taskUrl = submitUrl.replace("{model}", config.model);
+  if (config.model.includes("veo")) {
+    inputObj = {
+      model: config.model,
+      prompt: input.prompt,
+      firstFrameUrl: "",
+      lastFrameUrl: "",
+      aspectRatio: input.aspectRatio,
+      webHook: "-1",
+    };
+    inputObj.firstFrameUrl = input.imageBase64?.[0] ?? "";
+    inputObj.lastFrameUrl = input.imageBase64?.[1] ?? "";
+
+    taskUrl = submitUrl.replace("{model}", "veo");
+  } else {
+    inputObj = {
+      model: config.model,
+      prompt: input.prompt,
+      url: "",
+      aspectRatio: input.aspectRatio,
+      duration: +input.duration,
+      webHook: "-1",
+    };
+    inputObj.url = input.imageBase64?.[0] ?? "";
+
+    taskUrl = submitUrl.replace("{model}", "sora-video");
+  }
+
+  const { data } = await axios.post(taskUrl, { ...inputObj }, { headers: { ...headers, "Content-Type": "application/json" } });
+
+  if (data.code != 0) throw new Error(`任务提交失败: ${data ? JSON.stringify(data, null, 2) : "未知错误"}`);
+
+  return await pollTask(async () => {
+    const { data: queryData } = await axios.post(
+      queryUrl,
+      {
+        id: data.data.id,
+      },
+      {
+        headers: { Authorization: `Bearer ${config.apiKey}` },
+      },
+    );
+    if (queryData.code != 0) throw new Error(`查询任务失败: ${queryData ? JSON.stringify(queryData, null, 2) : "未知错误"}`);
+    const { status, error, failure_reason, url } = queryData.data || {};
+
+    if (status === "failed") {
+      return { completed: false, error: failure_reason + "\n" + error || "图片生成失败" };
+    }
+
+    if (status === "succeeded") {
+      return { completed: true, url: url };
+    }
+
+    return { completed: false };
+  });
+};

src/utils/ai/video/owned/other.ts

@@ -4,12 +4,11 @@ import sharp from "sharp";
 import FormData from "form-data";
 import { pollTask, validateVideoConfig } from "@/utils/ai/utils";
 import { createOpenAI } from "@ai-sdk/openai";
-
+import { experimental_generateVideo as generateVideo } from "ai";
 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");
   // const { owned, images, hasTextType } = validateVideoConfig(input, config);
-
   const [requestUrl, queryUrl] = config.baseURL.split("|");
 
   const authorization = `Bearer ${config.apiKey}`;
@@ -21,30 +20,40 @@ export default async (input: VideoConfig, config: AIConfig) => {
 
   // 根据 aspectRatio 设置 size
   const sizeMap: Record<string, string> = {
-    "16:9": "1920x1080",
-    "9:16": "1080x1920",
+    "16:9": "1280x720",
+    "9:16": "720x1280",
   };
   formData.append("size", sizeMap[input.aspectRatio] || "1920x1080");
+
   if (input.imageBase64 && input.imageBase64.length) {
     const base64Data = input.imageBase64[0]!.replace(/^data:image\/\w+;base64,/, "");
     const buffer = Buffer.from(base64Data, "base64");
     formData.append("input_reference", buffer, { filename: "image.jpg", contentType: "image/jpeg" });
   }
-  const { data } = await axios.post(requestUrl, formData, {
-    headers: { "Content-Type": "application/json", Authorization: authorization, ...formData.getHeaders() },
-  });
-  if (data.status === "FAILED") throw new Error(`任务提交失败: ${data.errorMessage || "未知错误"}`);
-  const taskId = data.id;
-  return await pollTask(async () => {
-    const { data } = await axios.get(`${queryUrl.replace("{id}", 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}` };
-  });
+  const body = {
+    model: config.model,
+    messages: [
+      {
+        role: "user",
+        content: [
+          {
+            type: "text",
+            text: input.prompt,
+          },
+        ],
+      },
+    ],
+  };
+  const { data } = await axios.post(
+    config.baseURL,
+    { ...body },
+    {
+      headers: { "Content-Type": "application/json", Authorization: authorization },
+    },
+  );
+
+  console.log("%c Line:49 🥓 data", "background:#ffdd4d", data);
+
+  if (data.status === "FAILED") throw new Error(`任务提交失败: ${data.errorMessage || "未知错误"}`);
 };