feat: refresh creation config and visual assets
This commit is contained in:
330
scripts/generate-taonier-clay-mascot-logo-concepts.mjs
Normal file
330
scripts/generate-taonier-clay-mascot-logo-concepts.mjs
Normal file
@@ -0,0 +1,330 @@
|
||||
import { Buffer } from 'node:buffer';
|
||||
import {
|
||||
existsSync,
|
||||
mkdirSync,
|
||||
readFileSync,
|
||||
readdirSync,
|
||||
writeFileSync,
|
||||
} from 'node:fs';
|
||||
import path from 'node:path';
|
||||
|
||||
const repoRoot = process.cwd();
|
||||
const outputDir = path.join(
|
||||
repoRoot,
|
||||
'public',
|
||||
'branding',
|
||||
'taonier-logo-clay-mascot-concepts',
|
||||
);
|
||||
const defaultTimeoutMs = 420000;
|
||||
|
||||
const concepts = [
|
||||
{
|
||||
id: 'taonier-clay-mascot-little-maker',
|
||||
title: '陶泥小人',
|
||||
prompt:
|
||||
'为中文产品“陶泥儿”重新设计一个无文字 Logo 图标。停止此前软泥合拍、旋涡、锚点底座方向，以“陶泥人 / 陶泥手办 / 抽象角色吉祥物”为主线。图形主体是一个被手捏出来的极简陶泥小人：圆头、短身体、短短小手，轮廓像柔软陶泥，但必须压缩成成熟 App 主标，不是完整角色插画。角色胸口或掌心有一颗极简小星点，表达 AI 把脑洞捏成作品。风格：logo-friendly mascot mark, simple silhouette, flat vector feel, friendly, memorable, premium cute, clear at small size。配色使用奶油白、暖陶土、深墨底，可少量暖黄色星点。禁止文字、字母、水印、复杂五官、真实人脸、儿童黏土课、3D 厚重拟物、聊天气泡、播放按钮、手办包装、背景场景。',
|
||||
},
|
||||
{
|
||||
id: 'taonier-clay-mascot-figurine-token',
|
||||
title: '陶泥手办',
|
||||
prompt:
|
||||
'为“陶泥儿”设计无文字 Logo 图标，方向是陶泥手办 / 抽象吉祥物。主体像一枚小型软陶手办的正面主标：圆润头部、简化身体、两只短臂自然张开，底部像一个小底座但不要做雕塑台。它要有手办收藏感和精品感，但仍是极简品牌图标，不是 3D 玩具照片。角色表情只能用非常简洁的点或负形，不要复杂可爱脸。风格：modern mascot logo, flat vector, bold simple shapes, warm, collectible, app icon ready。配色：象牙白主体、深墨背景、暖陶土阴影或小点缀。禁止文字、字母、真实玩具、塑料质感、过多高光、复杂衣服、帽子、聊天气泡、播放键。',
|
||||
},
|
||||
{
|
||||
id: 'taonier-clay-mascot-soft-doll',
|
||||
title: '软陶团子',
|
||||
prompt:
|
||||
'为“陶泥儿”设计无文字 Logo 图标，方向是抽象陶泥角色。主体是一只圆滚滚的软陶团子小人，像一团泥被轻轻捏出头、身体和两只小手，整体剪影非常简单，能一眼记住。它需要有 Q 感和亲和力，但不要像表情包或儿童玩具。中央保留一枚小作品星核或泥点，表达创作生成。风格：minimal clay mascot logo, flat vector style, rounded, cute but mature, clean, scalable。配色：奶白 / 米白主体，暖陶土小阴影，深色或奶油色纯背景，最多 3 色。禁止中文、英文、水印、复杂五官、头发、衣服、真实手指、3D、毛绒、聊天气泡、笑脸贴纸。',
|
||||
},
|
||||
{
|
||||
id: 'taonier-clay-mascot-creator-totem',
|
||||
title: '造物泥偶',
|
||||
prompt:
|
||||
'为“陶泥儿”设计无文字 Logo 图标，方向是陶泥人和品牌图腾之间的抽象角色。主体不是普通人物，而是一个被捏出来的“造物泥偶”：头部圆润，身体像软陶印章，双臂像两处短短捏痕，中间有小星或小孔代表作品核。图形要比吉祥物更符号化，更适合长期主 Logo。风格：abstract mascot brand mark, simple, iconic, flat vector feel, premium, friendly, clear at 32px。配色：深墨背景、奶油白主体、少量暖黄或陶土点缀。禁止真实人、复杂脸、动物、怪物、儿童玩具、厚阴影、3D、文字、字母、水印、UI 元素。',
|
||||
},
|
||||
{
|
||||
id: 'taonier-clay-mascot-idol-mask',
|
||||
title: '陶泥面偶',
|
||||
prompt:
|
||||
'为“陶泥儿”设计无文字 Logo 图标，方向是抽象角色 / 吉祥物主标。主体是一枚圆润陶泥面偶：像小陶泥人的头脸和上半身融合成一个单一徽标，五官极简，只允许两个小点或一条负形捏痕，整体更像品牌符号而不是头像。要有陶泥手工、AI 创意、轻休闲平台的亲和感。风格：flat vector mascot icon, simple face mark, warm, modern, memorable, not childish。配色：暖奶白、陶土橙、深墨，少量金色作品点。禁止文字、字母、水印、复杂表情、emoji、聊天头像、真实陶艺照片、3D、背景场景、动物形象。',
|
||||
},
|
||||
{
|
||||
id: 'taonier-clay-mascot-pocket-figure',
|
||||
title: '口袋泥人',
|
||||
prompt:
|
||||
'为“陶泥儿”设计无文字 Logo 图标，方向是小陶泥人 / 口袋手办 / 抽象吉祥物。主体是一个能放进 App icon 的口袋泥人：小小头、软软身体、两侧短手，整体像被捏出的一枚符号，底部可轻微压扁形成稳定站姿。它应表达“人人都能把脑洞捏成作品”，亲和但不幼稚，适合品牌主标。风格：mascot logo, flat vector, bold silhouette, minimal, cute, premium, high contrast。配色：黑底或深墨底，米白陶泥主体，暖黄色小泥点。禁止文字、字母、水印、复杂五官、衣服配饰、真实手办摄影、玩偶包装、聊天气泡、播放三角、3D 厚阴影。',
|
||||
},
|
||||
];
|
||||
|
||||
const args = new Map();
|
||||
for (let index = 2; index < process.argv.length; index += 1) {
|
||||
const raw = process.argv[index];
|
||||
if (!raw.startsWith('--')) {
|
||||
continue;
|
||||
}
|
||||
const next = process.argv[index + 1];
|
||||
if (next && !next.startsWith('--')) {
|
||||
args.set(raw, next);
|
||||
index += 1;
|
||||
} else {
|
||||
args.set(raw, true);
|
||||
}
|
||||
}
|
||||
|
||||
function readDotenv(fileName) {
|
||||
const filePath = path.join(repoRoot, fileName);
|
||||
if (!existsSync(filePath)) {
|
||||
return {};
|
||||
}
|
||||
|
||||
const values = {};
|
||||
for (const line of readFileSync(filePath, 'utf8').split(/\r?\n/u)) {
|
||||
const trimmed = line.trim();
|
||||
if (!trimmed || trimmed.startsWith('#')) {
|
||||
continue;
|
||||
}
|
||||
const match = /^([A-Za-z_][A-Za-z0-9_]*)=(.*)$/u.exec(trimmed);
|
||||
if (!match) {
|
||||
continue;
|
||||
}
|
||||
let value = match[2].trim();
|
||||
if (
|
||||
(value.startsWith('"') && value.endsWith('"')) ||
|
||||
(value.startsWith("'") && value.endsWith("'"))
|
||||
) {
|
||||
value = value.slice(1, -1);
|
||||
}
|
||||
values[match[1]] = value;
|
||||
}
|
||||
return values;
|
||||
}
|
||||
|
||||
function resolveEnv() {
|
||||
const loaded = {
|
||||
...readDotenv('.env.example'),
|
||||
...readDotenv('.env.local'),
|
||||
...readDotenv('.env.secrets.local'),
|
||||
...process.env,
|
||||
};
|
||||
return {
|
||||
baseUrl: String(loaded.VECTOR_ENGINE_BASE_URL || '')
|
||||
.trim()
|
||||
.replace(/\/+$/u, ''),
|
||||
apiKey: String(loaded.VECTOR_ENGINE_API_KEY || '').trim(),
|
||||
timeoutMs: Number.parseInt(
|
||||
String(loaded.VECTOR_ENGINE_IMAGE_REQUEST_TIMEOUT_MS || defaultTimeoutMs),
|
||||
10,
|
||||
),
|
||||
};
|
||||
}
|
||||
|
||||
function buildUrl(baseUrl) {
|
||||
return baseUrl.endsWith('/v1')
|
||||
? `${baseUrl}/images/generations`
|
||||
: `${baseUrl}/v1/images/generations`;
|
||||
}
|
||||
|
||||
function collectStringsByKey(value, targetKey, output) {
|
||||
if (Array.isArray(value)) {
|
||||
value.forEach((entry) => collectStringsByKey(entry, targetKey, output));
|
||||
return;
|
||||
}
|
||||
if (!value || typeof value !== 'object') {
|
||||
return;
|
||||
}
|
||||
for (const [key, nested] of Object.entries(value)) {
|
||||
if (key === targetKey) {
|
||||
if (typeof nested === 'string' && nested.trim()) {
|
||||
output.push(nested.trim());
|
||||
}
|
||||
if (Array.isArray(nested)) {
|
||||
nested.forEach((entry) => {
|
||||
if (typeof entry === 'string' && entry.trim()) {
|
||||
output.push(entry.trim());
|
||||
}
|
||||
});
|
||||
}
|
||||
}
|
||||
collectStringsByKey(nested, targetKey, output);
|
||||
}
|
||||
}
|
||||
|
||||
function extractImageUrls(payload) {
|
||||
const urls = [];
|
||||
collectStringsByKey(payload, 'url', urls);
|
||||
collectStringsByKey(payload, 'image', urls);
|
||||
collectStringsByKey(payload, 'image_url', urls);
|
||||
return [...new Set(urls)].filter((url) => /^https?:\/\//u.test(url));
|
||||
}
|
||||
|
||||
function extractBase64Images(payload) {
|
||||
const values = [];
|
||||
collectStringsByKey(payload, 'b64_json', values);
|
||||
return values;
|
||||
}
|
||||
|
||||
function inferExtensionFromBytes(bytes) {
|
||||
if (bytes.subarray(0, 8).equals(Buffer.from('\x89PNG\r\n\x1A\n', 'binary'))) {
|
||||
return 'png';
|
||||
}
|
||||
if (bytes.subarray(0, 3).equals(Buffer.from([0xff, 0xd8, 0xff]))) {
|
||||
return 'jpg';
|
||||
}
|
||||
if (
|
||||
bytes.subarray(0, 4).toString('ascii') === 'RIFF' &&
|
||||
bytes.subarray(8, 12).toString('ascii') === 'WEBP'
|
||||
) {
|
||||
return 'webp';
|
||||
}
|
||||
return 'png';
|
||||
}
|
||||
|
||||
async function fetchJson(url, options, timeoutMs) {
|
||||
const abortController = new AbortController();
|
||||
const timer = setTimeout(() => abortController.abort(), timeoutMs);
|
||||
try {
|
||||
const response = await fetch(url, {
|
||||
...options,
|
||||
signal: abortController.signal,
|
||||
});
|
||||
const text = await response.text();
|
||||
if (!response.ok) {
|
||||
throw new Error(`VectorEngine ${response.status}: ${text.slice(0, 600)}`);
|
||||
}
|
||||
return JSON.parse(text);
|
||||
} catch (error) {
|
||||
if (error?.name === 'AbortError') {
|
||||
throw new Error(`VectorEngine request timed out after ${timeoutMs}ms`);
|
||||
}
|
||||
throw error;
|
||||
} finally {
|
||||
clearTimeout(timer);
|
||||
}
|
||||
}
|
||||
|
||||
async function downloadUrl(url, timeoutMs) {
|
||||
const abortController = new AbortController();
|
||||
const timer = setTimeout(() => abortController.abort(), timeoutMs);
|
||||
try {
|
||||
const response = await fetch(url, { signal: abortController.signal });
|
||||
if (!response.ok) {
|
||||
throw new Error(`download ${response.status}`);
|
||||
}
|
||||
return Buffer.from(await response.arrayBuffer());
|
||||
} catch (error) {
|
||||
if (error?.name === 'AbortError') {
|
||||
throw new Error(`Generated image download timed out after ${timeoutMs}ms`);
|
||||
}
|
||||
throw error;
|
||||
} finally {
|
||||
clearTimeout(timer);
|
||||
}
|
||||
}
|
||||
|
||||
async function generateConcept(env, concept) {
|
||||
const requestBody = {
|
||||
model: 'gpt-image-2-all',
|
||||
quality: String(args.get('--quality') || 'low'),
|
||||
prompt: concept.prompt,
|
||||
n: 1,
|
||||
size: '1024x1024',
|
||||
};
|
||||
const payload = await fetchJson(
|
||||
buildUrl(env.baseUrl),
|
||||
{
|
||||
method: 'POST',
|
||||
headers: {
|
||||
Authorization: `Bearer ${env.apiKey}`,
|
||||
Accept: 'application/json',
|
||||
'Content-Type': 'application/json',
|
||||
},
|
||||
body: JSON.stringify(requestBody),
|
||||
},
|
||||
env.timeoutMs,
|
||||
);
|
||||
|
||||
const urls = extractImageUrls(payload);
|
||||
const b64Images = extractBase64Images(payload);
|
||||
let bytes;
|
||||
if (urls[0]) {
|
||||
bytes = await downloadUrl(urls[0], env.timeoutMs);
|
||||
} else if (b64Images[0]) {
|
||||
bytes = Buffer.from(b64Images[0], 'base64');
|
||||
} else {
|
||||
throw new Error(`VectorEngine returned no image for ${concept.id}`);
|
||||
}
|
||||
|
||||
mkdirSync(outputDir, { recursive: true });
|
||||
const extension = inferExtensionFromBytes(bytes);
|
||||
const outputPath = path.join(outputDir, `${concept.id}.${extension}`);
|
||||
writeFileSync(outputPath, bytes);
|
||||
return outputPath;
|
||||
}
|
||||
|
||||
const dryRun = args.has('--dry-run') || !args.has('--live');
|
||||
const onlyIds = String(args.get('--only') || '')
|
||||
.split(',')
|
||||
.map((value) => value.trim())
|
||||
.filter(Boolean);
|
||||
const limit = Number.parseInt(String(args.get('--limit') || '0'), 10);
|
||||
const selected = concepts
|
||||
.filter((concept) => !onlyIds.length || onlyIds.includes(concept.id))
|
||||
.slice(0, limit > 0 ? limit : concepts.length);
|
||||
|
||||
if (dryRun) {
|
||||
console.log(
|
||||
JSON.stringify(
|
||||
{
|
||||
mode: 'dry-run',
|
||||
outputDir,
|
||||
count: selected.length,
|
||||
requests: selected.map((concept) => ({
|
||||
id: concept.id,
|
||||
title: concept.title,
|
||||
body: {
|
||||
model: 'gpt-image-2-all',
|
||||
quality: String(args.get('--quality') || 'low'),
|
||||
prompt: concept.prompt,
|
||||
n: 1,
|
||||
size: '1024x1024',
|
||||
},
|
||||
})),
|
||||
},
|
||||
null,
|
||||
2,
|
||||
),
|
||||
);
|
||||
process.exit(0);
|
||||
}
|
||||
|
||||
const env = resolveEnv();
|
||||
if (!env.baseUrl || !env.apiKey) {
|
||||
console.error(
|
||||
JSON.stringify({
|
||||
ok: false,
|
||||
error: 'Missing VECTOR_ENGINE_BASE_URL or VECTOR_ENGINE_API_KEY',
|
||||
hasBaseUrl: Boolean(env.baseUrl),
|
||||
hasApiKey: Boolean(env.apiKey),
|
||||
}),
|
||||
);
|
||||
process.exit(1);
|
||||
}
|
||||
|
||||
const generated = [];
|
||||
for (const concept of selected) {
|
||||
console.log(`Generating ${concept.id}...`);
|
||||
generated.push(await generateConcept(env, concept));
|
||||
}
|
||||
|
||||
console.log(
|
||||
JSON.stringify(
|
||||
{
|
||||
ok: true,
|
||||
count: generated.length,
|
||||
files: generated,
|
||||
verifiedFiles: readdirSync(outputDir).sort(),
|
||||
},
|
||||
null,
|
||||
2,
|
||||
),
|
||||
);
|
||||
Reference in New Issue
Block a user