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熊潇
2026-01-07 17:34:10 +08:00
commit 7cca41b457
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KEVISUAL_NEW_API_KEY=sk-YyVo5WqJBmAnhIPfww9XpUPvHNhsuiXs9a1OSfBul94d7O47

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node_modules
storage
.env
!.env*example

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"integrity": "sha512-seS2Tj26TBVOC2NIc2rOe2y2ZO7efxITtLZcGSOnHHNOQ7CkiUBfw0Iw2ck6xkIhPwLhKNLS8BO+hEpngQlqzw==",
"dev": true,
"license": "MIT",
"funding": {
"url": "https://github.com/privatenumber/resolve-pkg-maps?sponsor=1"
}
},
"node_modules/tsx": {
"version": "4.21.0",
"resolved": "https://registry.npmjs.org/tsx/-/tsx-4.21.0.tgz",
"integrity": "sha512-5C1sg4USs1lfG0GFb2RLXsdpXqBSEhAaA/0kPL01wxzpMqLILNxIxIOKiILz+cdg/pLnOUxFYOR5yhHU666wbw==",
"dev": true,
"license": "MIT",
"dependencies": {
"esbuild": "~0.27.0",
"get-tsconfig": "^4.7.5"
},
"bin": {
"tsx": "dist/cli.mjs"
},
"engines": {
"node": ">=18.0.0"
},
"optionalDependencies": {
"fsevents": "~2.3.3"
}
}
}
}

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prompts/package.json Normal file
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{
"name": "prompts",
"version": "0.0.1",
"description": "",
"main": "index.js",
"scripts": {
"perfect": "bun test/generate-perfect.ts",
"pony": "bun test/generate-pony.ts"
},
"keywords": [],
"author": "abearxiong <xiongxiao@xiongxiao.me> (https://www.xiongxiao.me)",
"license": "MIT",
"packageManager": "pnpm@10.26.0",
"type": "module",
"devDependencies": {
"@kevisual/ai": "^0.0.19",
"@kevisual/types": "^0.0.10",
"@kevisual/use-config": "^1.0.21",
"@types/bun": "^1.3.5",
"@types/node": "^25.0.3"
},
"dependencies": {
"es-toolkit": "^1.43.0",
"nanoid": "^5.1.6",
"unstorage": "^1.17.3"
}
}

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import { PromptGenerator, type PromptGeneratorOptions } from "./prompt-geneator.ts";
import { writeFile } from "node:fs/promises";
import { Prompt } from "./prompt-perfect.ts";
import { customAlphabet } from "nanoid";
const letter = 'abcdefghijklmnopqrstuvwxyz'
const randomString = customAlphabet(letter, 16);
async function saveToFile(data: Map<string, string>, outputPath: string): Promise<void> {
const arrayData = Array.from(data.entries()).map(([key, value]) => ({ key, value, id: randomString() }));
await writeFile(outputPath, JSON.stringify(arrayData, null, 2), "utf-8");
console.log(`Generated ${arrayData.length} prompts and saved to ${outputPath}`);
}
export { PromptGenerator, PromptGeneratorOptions, saveToFile, Prompt };

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import { randomInt as random } from "es-toolkit";
import { max } from "es-toolkit/compat";
export interface PromptGeneratorOptions {
count?: number;
outputPath?: string;
sourceKeys?: string[];
additionalValues?: string[];
source?: { [key: string]: string[] };
endString?: string;
}
export class PromptGenerator {
sourceKeys: string[];
additionalValues: string[];
count: number;
source: { [key: string]: string[] } = {};
endString: string = "";
map: Map<string, string> = new Map();
constructor(options: PromptGeneratorOptions = {}) {
this.additionalValues = options.additionalValues || [];
this.count = options.count ?? 1000;
this.source = options.source || {};
if (options?.sourceKeys) {
this.sourceKeys = options.sourceKeys || [];
} else {
this.sourceKeys = Object.keys(this.source);
}
this.endString = options.endString || "";
}
generateMap(opts?: { max?: number }): Map<string, string> {
const map = new Map<string, string>();
const source = this.source
let _max = max([opts?.max || 1200, this.count + 1000])!;
let k = 0;
while (map.size < this.count) {
const selectedValues: string[] = [];
this.sourceKeys.forEach((key: string) => {
const values = source[key];
if (!values) {
return;
}
const randomIndex = random(0, values.length - 1);
const randomValue = values[randomIndex];
selectedValues.push(randomValue);
});
const randomSlect = random(1, 3);
const additionalRandomValue = this.pickRandomValue(randomSlect, this.additionalValues);
selectedValues.push(...additionalRandomValue);
if (this.endString) {
selectedValues.push(this.endString);
}
const key = selectedValues.join(",");
k++;
if (k > _max) {
console.warn(`Reached maximum attempts (${_max}) to generate unique prompts. Generated ${map.size} unique prompts.`);
break;
}
if (!map.has(key)) {
map.set(key, selectedValues.join(" "));
}
}
this.map = map;
return map;
}
/**
* 获取随机附加值
* @param num
* @param arr
* @returns
*/
pickRandomValue(num: number, arr: string[]): string[] {
const randomAdditionalValues: string[] = [];
const usedIndices: Set<number> = new Set();
if (num > arr.length) {
num = Math.min(num, arr.length - 1);
}
while (randomAdditionalValues.length < num && usedIndices.size < arr.length) {
const randomIndex = random(0, arr.length - 1);
if (!usedIndices.has(randomIndex)) {
usedIndices.add(randomIndex);
randomAdditionalValues.push(arr[randomIndex]);
}
}
return randomAdditionalValues;
}
}

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export interface PromptOptions {
perfectPrompt?: string;
}
const DefaultPerfectPrompt = "我需要你帮我完善提示词，使其更加详细和具体。\n";
export class Prompt {
perfectPrompt: string = "";
constructor(options: PromptOptions = {}) {
this.perfectPrompt = options.perfectPrompt || DefaultPerfectPrompt;
}
perfect(info: string): string {
return `${info}\n当前的提示词是，在<perfect/>标签中：\n<perfect>${this.perfectPrompt}</perfect>`;
}
clearPerfectTags(text: string): string {
return text.replace('<perfect>', '').replace('</perfect>', '').trim();
}
}

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import { Kevisual } from "@kevisual/ai";
import { useConfig } from '@kevisual/use-config'
import path from "node:path";
import fs from "node:fs";
import { createStorage } from "unstorage";
import { Prompt } from "../src/index.ts";
import fsDriver from "unstorage/drivers/fs";
const promptPath = path.join(process.cwd(), "./docs/prompts-01.json");
const sleep = (ms: number) => new Promise((resolve) => setTimeout(resolve, ms));
const storage = createStorage({
driver: fsDriver({ base: 'storage' }),
});
const config = useConfig();
const kevisual = new Kevisual({
token: config.KEVISUAL_NEW_API_KEY || "",
model: "qwen-turbo"
});
if (!fs.existsSync(promptPath)) {
console.error("Prompt file not found:", promptPath);
process.exit(1);
}
const prompts = JSON.parse(fs.readFileSync(promptPath, "utf-8")) as { key: string, value: string, id: string }[];
const currentUsage = (await storage.getItem("usage.json") as any) || { prompt_tokens: 0, total_tokens: 0, completion_tokens: 0 };
console.log("Current usage:", currentUsage);
async function generatePerfectPrompts() {
for (const promptData of prompts) {
const id = promptData.id + '.json';
const has = await storage.get(id);
if (has) {
continue;
}
try {
const perfectPrompt = `请你将以下提示词进行完善，使其更加详细和具体，适合用于生成高质量的像素艺术图像。要求如下：
1. 只返回完善后的提示词，不要包含任何多余的内容或解释。
2. 确保提示词专注于像素艺术风格，包括但不限于像素化角色、场景和物体的描述。
3. 使用具体的细节来增强提示词的表现力，例如颜色、构图、光影效果等。
4. 避免使用与像素艺术无关的术语或描述。
5. 保持提示词的简洁性，避免过于冗长，但要确保信息量充足。
6. 如果需要颜色，需要整个图像的颜色更少的描述，而不是复杂的颜色细节, 背景默认纯蓝色。
7. 使用中文进行描述。
`;
const prompt = new Prompt({ perfectPrompt });
const result = await kevisual.chat([
{
role: "user",
content: prompt.perfect(promptData.value),
}
])
const text = prompt.clearPerfectTags(kevisual.responseText);
await storage.setItem(id, {
value: promptData.value,
id: promptData.id,
perfect: text,
});
await sleep(2000); // Avoid rate limits
const _usage = kevisual.getChatUsage()
console.log("Generated perfect prompt for:", promptData.id, _usage?.total_tokens);
currentUsage.total_tokens += _usage?.total_tokens || 0;
currentUsage.prompt_tokens += _usage?.prompt_tokens || 0;
currentUsage.completion_tokens += _usage?.completion_tokens || 0;
// Update usage
await storage.setItem("usage.json", {
prompt_tokens: currentUsage.prompt_tokens,
total_tokens: currentUsage.total_tokens,
completion_tokens: currentUsage.completion_tokens,
});
console.log('优化的提示词', text);
} catch (error) {
console.error("Error generating perfect prompt for:", promptData, error);
// 如果是超时错误，等待一段时间后继续
if ((error as any)?.message?.includes("timeout")) {
console.log("Timeout occurred, waiting for 30 seconds before retrying...");
await sleep(10000);
continue;
} else {
process.exit(1);
}
}
}
}
generatePerfectPrompts();
// bun test/generate-perfect.ts
// pm2 start --name "generate-perfect" --interpreter=bun -- test/generate-perfect.ts

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import { PromptGenerator, saveToFile } from "../src/index.ts";
import { source } from "./source.ts";
import path from 'node:path';
const coreValue = [
"像素艺术",
"矢量插画",
"线条艺术",
"可爱",
"日式可爱",
"Q版",
"萌",
"简约",
"极简主义",
"干净线条",
"扁平色彩",
]
const promptGenerator = new PromptGenerator({
count: 1000,
source: source,
additionalValues: coreValue,
endString: '纯色背景'
});
const promptMap = promptGenerator.generateMap();
const outputPath = path.join(process.cwd(), "./docs/prompts.json");
await saveToFile(promptMap, outputPath);

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export const source = {
"subject": [
"圆滚滚的马",
"穿衣服的马",
"胖乎乎的小马",
"戴帽子的马",
"毛茸茸的斑马",
"拿气球的独角兽",
"瘦长的马",
"Q版马",
"戴墨镜的马",
"拿着星星的马",
"古代战马披铠甲",
"水墨风格的骏马",
"发光的梦幻马",
"机械赛博格马",
"戴着皇冠的皇家马",
"背着书包上学的小马",
"会魔法的飞马",
"穿着宇航服的太空马",
"抱着吉他的摇滚马",
"正在画画的艺术家马",
"穿唐装的新年马",
"骑着扫帚的巫师马",
"戴着围巾的冬日小马",
"撑伞的雨中马",
"戴着耳机听音乐的潮马",
"背着礼物袋的圣诞马",
"在镜子前自拍的爱美马",
"变成龙形的神驹",
"半植物半马的自然精灵",
"透明水晶质感的玻璃马",
"由星尘组成的宇宙马",
"纸艺折纸风格小马",
"黏土手办风格马",
"影子轮廓马",
"像素复古游戏马",
"剪纸艺术风格马",
"霓虹灯线条马",
"蒸汽朋克齿轮马",
"浮世绘风格日本马",
"黄金雕像马"
],
"action": [
"坐着发呆",
"奔跑",
"跳跃",
"飞翔在空中",
"游泳",
"跳舞",
"大笑",
"惊讶地看着前方",
"抱着胡萝卜",
"放风筝",
"睡觉",
"吃草",
"哭泣",
"挥手打招呼",
"翻滚",
"冥想漂浮",
"变魔术",
"写毛笔字",
"演奏小提琴",
"骑滑板",
"拍照留念",
"讲笑话",
"种花",
"搭建积木城堡",
"阅读童话书",
"打太极拳",
"喷火",
"召唤闪电",
"隐身消失",
"时间暂停",
"穿越虫洞",
"绘制星空",
"拥抱朋友",
"滑冰",
"攀岩",
"倒立行走",
"吐彩虹",
"用尾巴画画",
"变身成光球",
"与蝴蝶共舞",
"点亮灯笼",
"解开谜题"
],
"scene": [
"纯白色背景",
"纯黑色背景",
"纯红色背景",
"纯蓝色背景",
"纯绿色背景",
"纯黄色背景",
"纯橙色背景",
"纯紫色背景",
"纯粉色背景",
"纯灰色背景",
"纯米色背景",
"纯青色背景",
"纯金色背景",
"纯银色背景",
"纯棕色背景",
"纯天蓝色背景",
"纯珊瑚色背景",
"纯薄荷绿背景",
"纯薰衣草紫背景",
"纯象牙白背景"
],
"style": [
"卡通渲染风格",
"水彩手绘质感",
"油画厚涂技法",
"中国风水墨画",
"赛博朋克霓虹光影",
"皮克斯3D动画风格",
"低多边形（Low Poly）",
"极简扁平设计",
"超现实主义梦境感",
"蒸汽朋克机械细节",
"浮世绘木刻纹理",
"儿童绘本插图",
"复古8-bit像素风",
"哥特式暗黑美学",
"波普艺术鲜艳撞色",
"剪纸拼贴艺术",
"玻璃彩绘效果",
"金属蚀刻工艺",
"沙画流动质感",
"全息投影光泽",
"黏土定格动画",
"铅笔素描线稿",
"荧光夜光风格",
"大理石雕塑质感",
"丝绸刺绣图案",
"动态模糊运动感",
"故障艺术（Glitch Art）",
"糖霜甜点装饰风",
"雪花结晶微观视角",
"星空粒子特效",
"幻彩渐变晕染",
"蜡笔涂鸦童趣风",
"青铜器铭文融合",
"敦煌壁画色彩",
"激光雕刻线条",
"毛毡布艺手工感",
"琉璃透光材质",
"水墨晕染+数字合成",
"霓虹灯牌背景",
"复古胶片颗粒感",
"动态流体模拟",
"万圣节南瓜灯氛围"
],
}