增加图片质量

src/agents/productionAgent/tools.ts

@@ -500,7 +500,7 @@ export default (resTool: ResTool, toolsNames?: string[]) => {
 
         // --- 准备公共数据 ---
         const projectData = await u.db("o_project").where("id", resTool.data.projectId).select("videoRatio").first();
-        const imageModel = resTool.data.imageModel;
+        const imageModelData = await u.db("o_project").where("id", resTool.data.projectId).select("imageModel", "imageQuality").first();
 
         // 生成单张图片的函数
         const generateOneImage = async (item: (typeof images)[0]) => {
@@ -519,10 +519,10 @@ export default (resTool: ResTool, toolsNames?: string[]) => {
             getStoryboardImageBase64(item.referenceIds),
           ]);
 
-          const imageCls = await u.Ai.Image(imageModel?.modelId).run({
+          const imageCls = await u.Ai.Image(imageModelData.imageModel).run({
             prompt: item.prompt,
             imageBase64: [...assetsBase64, ...referenceBase64],
-            size: imageModel?.quality,
+            size: imageModelData.imageQuality,
             aspectRatio: (projectData?.videoRatio as `${number}:${number}`) ?? "16:9",
             taskClass: "生成图片",
             describe: "分镜图片生成",
@@ -616,20 +616,20 @@ export default (resTool: ResTool, toolsNames?: string[]) => {
           }
         });
         //获取所设置模型
-        const imageModel = resTool.data.imageModel;
+        const imageModelData = await u.db("o_project").where("id", resTool.data.projectId).select("imageModel", "imageQuality").first();
         for (const item of assetsImage) {
           const [imageId] = await u.db("o_image").insert({
             // 数据库插入图片记录
             assetsId: item.assetId,
-            model: imageModel?.modelId,
+            model: imageModelData?.imageModel,
             state: "生成中",
-            resolution: imageModel?.quality,
+            resolution: imageModelData?.imageQuality,
           });
-          u.Ai.Image(imageModel?.modelId)
+          u.Ai.Image(imageModelData?.imageModel)
             .run({
               prompt: item.prompt,
               imageBase64: await getAssetsImageBase64(item.id ? [item.id] : []),
-              size: imageModel?.quality,
+              size: imageModelData?.imageQuality,
               aspectRatio: "16:9",
               taskClass: "生成图片",
               describe: "资产图片生成",

src/lib/initDB.ts

@@ -31,6 +31,7 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
         table.integer("id");
         table.string("projectType");
         table.string("imageModel");
+        table.string("imageQuality");
         table.string("videoModel");
         table.text("name");
         table.text("intro");
@@ -64,7 +65,7 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
         table.string("model");
         table.string("key");
         table.string("modelName");
-        table.integer("vendorId");
+        table.text("vendorId");
         table.string("desc");
         table.string("name");
         table.boolean("disabled").defaultTo(false);

src/routes/project/addProject.ts

@@ -17,9 +17,11 @@ export default router.post(
     videoRatio: z.string(),
     imageModel: z.string(),
     videoModel: z.string(),
+  imageQuality: z.string()
+
   }),
   async (req, res) => {
-    const { projectType, name, intro, type, artStyle, videoRatio, imageModel, videoModel } = req.body;
+    const { projectType, name, intro, type, artStyle, videoRatio, imageModel, videoModel,imageQuality } = req.body;
 
     await u.db("o_project").insert({
       projectType,
@@ -32,6 +34,7 @@ export default router.post(
       imageModel,
       videoModel,
       createTime: Date.now(),
+      imageQuality
     });
 
     res.status(200).send(success({ message: "新增项目成功" }));

src/routes/project/editProject.ts

@@ -17,9 +17,10 @@ export default router.post(
     videoRatio: z.string(),
     imageModel: z.string(),
     videoModel: z.string(),
+    imageQuality: z.string()
   }),
   async (req, res) => {
-    const { id, name, intro, type, artStyle, videoRatio, imageModel, videoModel } = req.body;
+    const { id, name, intro, type, artStyle, videoRatio, imageModel, videoModel,imageQuality } = req.body;
 
     await u.db("o_project").where("id", id).update({
       name,
@@ -29,6 +30,7 @@ export default router.post(
       videoRatio,
       imageModel,
       videoModel,
+      imageQuality
     });
 
     res.status(200).send(success({ message: "新增项目成功" }));

src/routes/setting/agentDeploy/agentSetKey.ts

@@ -15,7 +15,7 @@ export default router.post(
     await u.db("o_agentDeploy").whereIn("id", id).where("disabled", "<>", 1).update({
       model: "gpt-4.1",
       modelName: "toonflow:gpt-4.1",
-      vendorId: 1,
+      vendorId: "toonflow",
     });
     res.status(200).send(success("配置成功"));
   },

src/routes/setting/agentDeploy/deployAgentModel.ts

@@ -12,7 +12,7 @@ export default router.post(
     name: z.string(),
     model: z.string(),
     modelName: z.string(),
-    vendorId: z.number().nullable(),
+    vendorId: z.string().nullable(),
     desc: z.string(),
   }),
   async (req, res) => {

src/routes/setting/vendorConfig/deleteVendor.ts

@@ -11,10 +11,12 @@ export default router.post(
   }),
   async (req, res) => {
     const { id } = req.body;
-    if (id == "toonflow" || id.includes("toonflow")) {
-      return res.status(400).send(error("此配置无法删除"));
-    }
     await u.db("o_vendorConfig").where("id", id).del();
+    await u.db("o_agentDeploy").where("vendorId", id).update({
+      model: null,
+      key: null,
+      vendorId: null,
+    });
     res.status(200).send(success("删除成功"));
   },
 );

src/types/database.d.ts

@@ -1,12 +1,20 @@
-// @db-hash 05ecfd675f848d88631c1a546996caea
+// @db-hash 509ef34a31d203b2a7dca4e5dc69ae88
 //该文件由脚本自动生成，请勿手动修改
 
+export interface _o_script_old_20260327 {
+  'content'?: string | null;
+  'createTime'?: number | null;
+  'id'?: number;
+  'name'?: string | null;
+  'projectId'?: number | null;
+}
 export interface memories {
   'content': string;
   'createTime': number;
   'embedding'?: string | null;
   'id'?: string;
   'isolationKey': string;
+  'name'?: string | null;
   'relatedMessageIds'?: string | null;
   'role'?: string | null;
   'summarized'?: number | null;
@@ -46,7 +54,6 @@ export interface o_assets {
   'name'?: string | null;
   'projectId'?: number | null;
   'prompt'?: string | null;
-  'promptState'?: string | null;
   'remark'?: string | null;
   'scriptId'?: number | null;
   'startTime'?: number | null;
@@ -110,6 +117,7 @@ export interface o_project {
   'createTime'?: number | null;
   'id'?: number | null;
   'imageModel'?: string | null;
+  'imageQuality'?: string | null;
   'intro'?: string | null;
   'name'?: string | null;
   'projectType'?: string | null;
@@ -121,7 +129,7 @@ export interface o_project {
 export interface o_prompt {
   'id'?: number;
   'name'?: string | null;
-  'prompt'?: string | null;
+  'rompt'?: string | null;
 }
 export interface o_script {
   'content'?: string | null;
@@ -229,6 +237,7 @@ export interface o_videoConfig {
 }
 
 export interface DB {
+  "_o_script_old_20260327": _o_script_old_20260327;
   "memories": memories;
   "o_agentDeploy": o_agentDeploy;
   "o_agentWorkData": o_agentWorkData;

src/utils/ai.ts

@@ -116,6 +116,7 @@ class AiImage {
     return withTaskRecord(this.key, input.taskClass, input.describe, input.relatedObjects, input.projectId, async (modelName) => {
       const fn = await getVendorTemplateFn("imageRequest", modelName);
       this.result = await fn(input);
+      console.log("%c Line:119 🌽 this.result", "background:#ed9ec7", this.result);
       if (this.result.startsWith("http")) this.result = await urlToBase64(this.result);
       return this;
     });