ai-chatbot/lib/ai/extend/vip98k-outpaint.ts

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import sharp from "sharp";
export const VIP98K_OUTPAINT_MODEL = "gpt-image-2.5-flare";
const RATIOS = [[1, 1], [4, 3], [3, 4], [3, 2], [2, 3], [16, 9], [9, 16]];
export function getVip98kOutpaintGeometry(width: number, height: number, xScale: number, yScale: number) {
const targetWidth = Math.round(width * xScale);
const targetHeight = Math.round(height * yScale);
if (targetWidth * targetHeight > 64_000_000) throw new Error("扩图后的尺寸过大,请降低扩展倍数");
const ratio = targetWidth / targetHeight;
const [a, b] = RATIOS.reduce((best, next) =>
Math.abs(Math.log(ratio / (next[0] / next[1]))) < Math.abs(Math.log(ratio / (best[0] / best[1]))) ? next : best);
const paddedWidth = Math.max(targetWidth, Math.ceil(targetHeight * a / b));
const paddedHeight = Math.max(targetHeight, Math.ceil(targetWidth * b / a));
const factor = Math.min(1, 2048 / Math.max(paddedWidth, paddedHeight));
const modelWidth = Math.max(1, Math.round(paddedWidth * factor));
const modelHeight = Math.max(1, Math.round(paddedHeight * factor));
const sourceWidth = Math.max(1, Math.round(width * factor));
const sourceHeight = Math.max(1, Math.round(height * factor));
return {
targetWidth, targetHeight, modelWidth, modelHeight, sourceWidth, sourceHeight,
left: Math.floor((modelWidth - sourceWidth) / 2),
top: Math.floor((modelHeight - sourceHeight) / 2),
aspectRatio: `${a}:${b}`,
resolution: Math.max(targetWidth, targetHeight) > 1536 ? "2K" : "1K",
};
}
export async function expandWithVip98kOutpaint(params: {
imageUrl: string;
baseUrl: string;
apiKey: string;
routeOptionId: string;
xScale: number;
yScale: number;
}) {
const response = await fetch(params.imageUrl, { signal: AbortSignal.timeout(120_000) });
if (!response.ok) throw new Error("无法读取待扩展的原图");
const { data: source, info } = await sharp(Buffer.from(await response.arrayBuffer()))
.rotate().png().toBuffer({ resolveWithObject: true });
const g = getVip98kOutpaintGeometry(info.width, info.height, params.xScale, params.yScale);
const input = await sharp(source).resize(g.sourceWidth, g.sourceHeight).ensureAlpha().extend({
left: g.left, right: g.modelWidth - g.sourceWidth - g.left,
top: g.top, bottom: g.modelHeight - g.sourceHeight - g.top,
background: { r: 0, g: 0, b: 0, alpha: 0 },
}).png().toBuffer();
const body = new FormData();
const prompt = [
"Extend this product image outward on all four sides, continuing its background naturally.",
`The reference canvas is ${g.modelWidth}x${g.modelHeight}; the original image is centered at (${g.left},${g.top}) with size ${g.sourceWidth}x${g.sourceHeight}.`,
"Fill only the surrounding empty area as a continuation of the same scene.",
"Preserve the existing product identity, structure, colors, and all Chinese text and dimension numbers.",
"Keep approximately the same composition and the product centered.",
"Avoid adding new products or additional text. Return a complete seamless image.",
].join(" ");
for (const [key, value] of Object.entries({
model: VIP98K_OUTPAINT_MODEL, prompt, n: "1", size: g.aspectRatio,
resolution: g.resolution, quality: "high", response_format: "url",
})) body.append(key, value);
body.append("image[]", new Blob([new Uint8Array(input)], { type: "image/png" }), "outpaint.png");
const base = params.baseUrl.replace(/\/$/, "").replace(/\/v1$/, "");
const generated = await fetch(`${base}/v1/images/edits`, {
method: "POST", body,
headers: { Authorization: `Bearer ${params.apiKey}`, "X-Relay-Route-Option": params.routeOptionId },
signal: AbortSignal.timeout(180_000),
});
const result = await generated.json();
if (!generated.ok) throw new Error(`98K 扩图失败:${result?.error?.message || `HTTP ${generated.status}`}`);
const image = result?.data?.[0];
let expanded: Buffer;
if (typeof image?.b64_json === "string") {
expanded = Buffer.from(image.b64_json, "base64");
} else if (typeof image?.url === "string") {
const outputUrl = new URL(image.url);
const headers = new Headers();
if (outputUrl.origin === new URL(base).origin) headers.set("Authorization", `Bearer ${params.apiKey}`);
const output = await fetch(outputUrl, { headers, signal: AbortSignal.timeout(60_000) });
if (!output.ok) throw new Error(`无法读取扩图结果(HTTP ${output.status})`);
expanded = Buffer.from(await output.arrayBuffer());
} else {
throw new Error("98K 扩图未返回图片");
}
return sharp(expanded).resize(g.targetWidth, g.targetHeight, { fit: "cover", position: "centre" }).png().toBuffer();
}