628 lines
19 KiB
TypeScript
628 lines
19 KiB
TypeScript
import path from "node:path";
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import { readFile } from "node:fs/promises";
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import type { CliArgs, Quality } from "../types";
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type DashScopeModelFamily = "qwen2" | "qwenFixed" | "wan27" | "legacy";
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type DashScopeModelSpec = {
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family: DashScopeModelFamily;
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defaultSize: string;
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};
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const DEFAULT_MODEL = "qwen-image-2.0-pro";
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const MIN_QWEN_2_TOTAL_PIXELS = 512 * 512;
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const MAX_QWEN_2_TOTAL_PIXELS = 2048 * 2048;
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const SIZE_STEP = 16;
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const QWEN_NEGATIVE_PROMPT =
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"低分辨率，低画质，肢体畸形，手指畸形，画面过饱和，蜡像感，人脸无细节，过度光滑，画面具有AI感，构图混乱，文字模糊，扭曲";
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const QWEN_2_TARGET_PIXELS: Record<Quality, number> = {
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normal: 1024 * 1024,
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"2k": 1536 * 1536,
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};
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const MIN_WAN27_TOTAL_PIXELS = 768 * 768;
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const MAX_WAN27_PRO_T2I_PIXELS = 4096 * 4096;
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const MAX_WAN27_GENERAL_PIXELS = 2048 * 2048;
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const WAN27_MAX_REFERENCE_IMAGES = 9;
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const WAN27_TARGET_PIXELS: Record<Quality, number> = {
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normal: 1024 * 1024,
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"2k": 2048 * 2048,
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};
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const QWEN_2_RECOMMENDED: Record<string, Record<Quality, string>> = {
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"1:1": { normal: "1024*1024", "2k": "1536*1536" },
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"2:3": { normal: "768*1152", "2k": "1024*1536" },
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"3:2": { normal: "1152*768", "2k": "1536*1024" },
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"3:4": { normal: "960*1280", "2k": "1080*1440" },
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"4:3": { normal: "1280*960", "2k": "1440*1080" },
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"9:16": { normal: "720*1280", "2k": "1080*1920" },
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"16:9": { normal: "1280*720", "2k": "1920*1080" },
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"21:9": { normal: "1344*576", "2k": "2048*872" },
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};
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const QWEN_FIXED_SIZES_BY_RATIO: Record<string, string> = {
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"16:9": "1664*928",
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"4:3": "1472*1104",
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"1:1": "1328*1328",
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"3:4": "1104*1472",
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"9:16": "928*1664",
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};
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const QWEN_FIXED_SIZES = Object.values(QWEN_FIXED_SIZES_BY_RATIO);
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const LEGACY_STANDARD_SIZES: [number, number][] = [
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[1024, 1024],
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[1280, 720],
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[720, 1280],
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[1024, 768],
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[768, 1024],
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[1536, 1024],
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[1024, 1536],
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[1536, 864],
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[864, 1536],
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];
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const LEGACY_STANDARD_SIZES_2K: [number, number][] = [
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[1536, 1536],
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[2048, 1152],
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[1152, 2048],
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[1536, 1024],
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[1024, 1536],
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[1536, 864],
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[864, 1536],
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[2048, 2048],
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];
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const QWEN_2_SPEC: DashScopeModelSpec = {
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family: "qwen2",
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defaultSize: "1024*1024",
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};
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const QWEN_FIXED_SPEC: DashScopeModelSpec = {
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family: "qwenFixed",
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defaultSize: QWEN_FIXED_SIZES_BY_RATIO["16:9"],
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};
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const WAN27_SPEC: DashScopeModelSpec = {
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family: "wan27",
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defaultSize: "2048*2048",
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};
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const LEGACY_SPEC: DashScopeModelSpec = {
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family: "legacy",
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defaultSize: "1536*1536",
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};
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const MODEL_SPEC_ALIASES: Record<string, DashScopeModelSpec> = {
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"qwen-image-3.0-pro": QWEN_2_SPEC,
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"qwen-image-2.0-pro": QWEN_2_SPEC,
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"qwen-image-2.0-pro-2026-04-22": QWEN_2_SPEC,
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"qwen-image-2.0-pro-2026-03-03": QWEN_2_SPEC,
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"qwen-image-2.0": QWEN_2_SPEC,
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"qwen-image-2.0-2026-03-03": QWEN_2_SPEC,
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"qwen-image-max": QWEN_FIXED_SPEC,
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"qwen-image-max-2025-12-30": QWEN_FIXED_SPEC,
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"qwen-image-plus": QWEN_FIXED_SPEC,
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"qwen-image-plus-2026-01-09": QWEN_FIXED_SPEC,
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"qwen-image": QWEN_FIXED_SPEC,
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"wan2.7-image-pro": WAN27_SPEC,
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"wan2.7-image": WAN27_SPEC,
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};
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export function getDefaultModel(): string {
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return process.env.DASHSCOPE_IMAGE_MODEL || DEFAULT_MODEL;
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}
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function getReferenceImageMime(filePath: string): string {
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const ext = path.extname(filePath).toLowerCase();
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if (ext === ".jpg" || ext === ".jpeg") return "image/jpeg";
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if (ext === ".webp") return "image/webp";
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if (ext === ".bmp") return "image/bmp";
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return "image/png";
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}
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async function loadReferenceImage(refPath: string): Promise<string> {
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if (/^https?:\/\//i.test(refPath)) {
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return refPath;
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}
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const fullPath = path.resolve(refPath);
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const bytes = await readFile(fullPath);
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return `data:${getReferenceImageMime(fullPath)};base64,${bytes.toString("base64")}`;
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}
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function getApiKey(): string | null {
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return process.env.DASHSCOPE_API_KEY || null;
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}
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function getBaseUrl(): string {
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const base = process.env.DASHSCOPE_BASE_URL || "https://dashscope.aliyuncs.com";
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return base.replace(/\/+$/g, "");
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}
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function getModelSpec(model: string): DashScopeModelSpec {
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return MODEL_SPEC_ALIASES[model.trim().toLowerCase()] || LEGACY_SPEC;
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}
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export function getModelFamily(model: string): DashScopeModelFamily {
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return getModelSpec(model).family;
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}
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function normalizeQuality(quality: CliArgs["quality"]): Quality {
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return quality === "normal" ? "normal" : "2k";
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}
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export function parseAspectRatio(ar: string): { width: number; height: number } | null {
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const match = ar.match(/^(\d+(?:\.\d+)?):(\d+(?:\.\d+)?)$/);
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if (!match) return null;
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const w = parseFloat(match[1]!);
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const h = parseFloat(match[2]!);
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if (w <= 0 || h <= 0) return null;
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return { width: w, height: h };
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}
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export function normalizeSize(size: string): string {
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return size.replace("x", "*");
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}
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export function parseSize(size: string): { width: number; height: number } | null {
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const match = normalizeSize(size).match(/^(\d+)\*(\d+)$/);
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if (!match) return null;
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const width = Number(match[1]);
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const height = Number(match[2]);
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if (!Number.isFinite(width) || !Number.isFinite(height) || width <= 0 || height <= 0) {
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return null;
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}
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return { width, height };
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}
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function formatSize(width: number, height: number): string {
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return `${width}*${height}`;
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}
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function getRatioValue(ar: string): number | null {
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const parsed = parseAspectRatio(ar);
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if (!parsed) return null;
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return parsed.width / parsed.height;
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}
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function findKnownRatioKey(ar: string, candidates: string[], tolerance = 0.02): string | null {
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const targetRatio = getRatioValue(ar);
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if (targetRatio == null) return null;
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let bestKey: string | null = null;
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let bestDiff = Infinity;
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for (const candidate of candidates) {
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const candidateRatio = getRatioValue(candidate);
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if (candidateRatio == null) continue;
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const diff = Math.abs(candidateRatio - targetRatio);
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if (diff < bestDiff) {
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bestDiff = diff;
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bestKey = candidate;
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}
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}
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return bestDiff <= tolerance ? bestKey : null;
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}
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function roundToStep(value: number): number {
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return Math.max(SIZE_STEP, Math.round(value / SIZE_STEP) * SIZE_STEP);
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}
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function floorToStep(value: number): number {
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return Math.max(SIZE_STEP, Math.floor(value / SIZE_STEP) * SIZE_STEP);
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}
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function fitToPixelBudget(
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width: number,
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height: number,
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minPixels: number,
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maxPixels: number,
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): { width: number; height: number } {
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let nextWidth = width;
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let nextHeight = height;
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let pixels = nextWidth * nextHeight;
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if (pixels > maxPixels) {
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const scale = Math.sqrt(maxPixels / pixels);
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nextWidth *= scale;
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nextHeight *= scale;
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} else if (pixels < minPixels) {
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const scale = Math.sqrt(minPixels / pixels);
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nextWidth *= scale;
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nextHeight *= scale;
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}
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let roundedWidth = roundToStep(nextWidth);
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let roundedHeight = roundToStep(nextHeight);
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pixels = roundedWidth * roundedHeight;
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while (pixels > maxPixels && (roundedWidth > SIZE_STEP || roundedHeight > SIZE_STEP)) {
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if (roundedWidth >= roundedHeight && roundedWidth > SIZE_STEP) {
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roundedWidth -= SIZE_STEP;
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} else if (roundedHeight > SIZE_STEP) {
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roundedHeight -= SIZE_STEP;
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} else {
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break;
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}
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pixels = roundedWidth * roundedHeight;
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}
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while (pixels < minPixels) {
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if (roundedWidth <= roundedHeight) {
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roundedWidth += SIZE_STEP;
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} else {
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roundedHeight += SIZE_STEP;
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}
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pixels = roundedWidth * roundedHeight;
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}
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return { width: roundedWidth, height: roundedHeight };
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}
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function clampWan27DerivedSizeToRatioBounds(
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size: { width: number; height: number },
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): { width: number; height: number } {
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let { width, height } = size;
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const ratio = width / height;
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if (ratio > 8) {
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width = floorToStep(height * 8);
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} else if (ratio < 1 / 8) {
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height = floorToStep(width * 8);
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}
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return { width, height };
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}
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export function getSizeFromAspectRatio(ar: string | null, quality: CliArgs["quality"]): string {
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const normalizedQuality = normalizeQuality(quality);
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const sizes = normalizedQuality === "2k" ? LEGACY_STANDARD_SIZES_2K : LEGACY_STANDARD_SIZES;
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const defaultSize = normalizedQuality === "2k" ? "1536*1536" : "1024*1024";
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if (!ar) return defaultSize;
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const parsed = parseAspectRatio(ar);
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if (!parsed) return defaultSize;
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const targetRatio = parsed.width / parsed.height;
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let best = defaultSize;
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let bestDiff = Infinity;
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for (const [width, height] of sizes) {
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const diff = Math.abs(width / height - targetRatio);
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if (diff < bestDiff) {
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bestDiff = diff;
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best = formatSize(width, height);
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}
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}
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return best;
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}
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export function getQwen2SizeFromAspectRatio(ar: string | null, quality: CliArgs["quality"]): string {
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const normalizedQuality = normalizeQuality(quality);
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if (!ar) {
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return QWEN_2_RECOMMENDED["1:1"][normalizedQuality];
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}
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const recommendedRatio = findKnownRatioKey(ar, Object.keys(QWEN_2_RECOMMENDED));
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if (recommendedRatio) {
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return QWEN_2_RECOMMENDED[recommendedRatio][normalizedQuality];
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}
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const parsed = parseAspectRatio(ar);
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if (!parsed) {
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return QWEN_2_RECOMMENDED["1:1"][normalizedQuality];
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}
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const targetRatio = parsed.width / parsed.height;
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const targetPixels = QWEN_2_TARGET_PIXELS[normalizedQuality];
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const rawWidth = Math.sqrt(targetPixels * targetRatio);
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const rawHeight = Math.sqrt(targetPixels / targetRatio);
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const fitted = fitToPixelBudget(
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rawWidth,
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rawHeight,
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MIN_QWEN_2_TOTAL_PIXELS,
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MAX_QWEN_2_TOTAL_PIXELS,
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);
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return formatSize(fitted.width, fitted.height);
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}
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function isWan27ProModel(model: string): boolean {
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return model.trim().toLowerCase() === "wan2.7-image-pro";
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}
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function getWan27MaxPixels(model: string, hasReferenceImages: boolean): number {
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if (isWan27ProModel(model) && !hasReferenceImages) {
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return MAX_WAN27_PRO_T2I_PIXELS;
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}
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return MAX_WAN27_GENERAL_PIXELS;
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}
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export function getWan27SizeFromAspectRatio(
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ar: string | null,
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quality: CliArgs["quality"],
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maxPixels: number,
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): string {
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const normalizedQuality = normalizeQuality(quality);
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const targetPixels = Math.min(WAN27_TARGET_PIXELS[normalizedQuality], maxPixels);
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if (!ar) {
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const side = roundToStep(Math.sqrt(targetPixels));
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return formatSize(side, side);
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}
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const parsed = parseAspectRatio(ar);
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if (!parsed) {
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const side = roundToStep(Math.sqrt(targetPixels));
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return formatSize(side, side);
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}
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const ratio = parsed.width / parsed.height;
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if (ratio < 1 / 8 || ratio > 8) {
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throw new Error(
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`DashScope wan2.7 image models support aspect ratios in [1:8, 8:1]. Received "${ar}".`
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);
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}
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const rawWidth = Math.sqrt(targetPixels * ratio);
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const rawHeight = Math.sqrt(targetPixels / ratio);
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const fitted = fitToPixelBudget(
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rawWidth,
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rawHeight,
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MIN_WAN27_TOTAL_PIXELS,
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maxPixels,
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);
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const bounded = clampWan27DerivedSizeToRatioBounds(fitted);
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return formatSize(bounded.width, bounded.height);
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}
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function validateWan27Size(size: string, maxPixels: number, model: string): string {
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const normalized = normalizeSize(size);
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const parsed = validateSizeFormat(normalized);
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const totalPixels = parsed.width * parsed.height;
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if (totalPixels < MIN_WAN27_TOTAL_PIXELS || totalPixels > maxPixels) {
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const limit = maxPixels === MAX_WAN27_PRO_T2I_PIXELS ? "4096*4096" : "2048*2048";
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throw new Error(
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`DashScope ${model} requires total pixels between 768*768 and ${limit} ` +
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`for the current request. Received ${normalized} (${totalPixels} pixels).`
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);
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}
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const ratio = parsed.width / parsed.height;
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if (ratio < 1 / 8 || ratio > 8) {
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throw new Error(
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`DashScope wan2.7 image models support aspect ratios in [1:8, 8:1]. ` +
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`Received ${normalized} (ratio ${ratio.toFixed(3)}).`
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);
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}
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return normalized;
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}
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function getQwenFixedSizeFromAspectRatio(ar: string | null, quality: CliArgs["quality"]): string {
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if (quality === "normal") {
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console.warn(
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"DashScope qwen-image-max/plus/image models use fixed output sizes; --quality normal does not change the generated resolution."
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);
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}
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if (!ar) return QWEN_FIXED_SPEC.defaultSize;
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const ratioKey = findKnownRatioKey(ar, Object.keys(QWEN_FIXED_SIZES_BY_RATIO));
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if (!ratioKey) {
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throw new Error(
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`DashScope model supports only fixed ratios ${Object.keys(QWEN_FIXED_SIZES_BY_RATIO).join(", ")}. ` +
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`For custom ratios like "${ar}", use --model qwen-image-2.0-pro.`
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);
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}
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return QWEN_FIXED_SIZES_BY_RATIO[ratioKey]!;
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}
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function validateSizeFormat(size: string): { width: number; height: number } {
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const parsed = parseSize(size);
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if (!parsed) {
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throw new Error(`Invalid DashScope size "${size}". Expected <width>x<height> or <width>*<height>.`);
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}
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return parsed;
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}
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function validateQwen2Size(size: string): string {
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const normalized = normalizeSize(size);
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const parsed = validateSizeFormat(normalized);
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const totalPixels = parsed.width * parsed.height;
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if (totalPixels < MIN_QWEN_2_TOTAL_PIXELS || totalPixels > MAX_QWEN_2_TOTAL_PIXELS) {
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throw new Error(
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`DashScope qwen-image-2.0* models require total pixels between ${MIN_QWEN_2_TOTAL_PIXELS} ` +
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`and ${MAX_QWEN_2_TOTAL_PIXELS}. Received ${normalized} (${totalPixels} pixels).`
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);
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}
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return normalized;
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}
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function validateQwenFixedSize(size: string): string {
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const normalized = normalizeSize(size);
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validateSizeFormat(normalized);
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if (!QWEN_FIXED_SIZES.includes(normalized)) {
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throw new Error(
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`DashScope qwen-image-max/plus/image models support only these sizes: ${QWEN_FIXED_SIZES.join(", ")}. ` +
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`Received ${normalized}.`
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);
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}
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return normalized;
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}
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export function resolveSizeForModel(
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model: string,
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args: Pick<CliArgs, "size" | "aspectRatio" | "quality"> & { referenceImages?: string[] },
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): string {
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const spec = getModelSpec(model);
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const referenceCount = args.referenceImages?.length ?? 0;
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if (spec.family === "wan27") {
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const maxPixels = getWan27MaxPixels(model, referenceCount > 0);
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if (args.size) return validateWan27Size(args.size, maxPixels, model);
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return getWan27SizeFromAspectRatio(args.aspectRatio, args.quality, maxPixels);
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}
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if (args.size) {
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if (spec.family === "qwen2") return validateQwen2Size(args.size);
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if (spec.family === "qwenFixed") return validateQwenFixedSize(args.size);
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validateSizeFormat(args.size);
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return normalizeSize(args.size);
|
||
}
|
||
|
||
if (spec.family === "qwen2") {
|
||
return getQwen2SizeFromAspectRatio(args.aspectRatio, args.quality);
|
||
}
|
||
|
||
if (spec.family === "qwenFixed") {
|
||
return getQwenFixedSizeFromAspectRatio(args.aspectRatio, args.quality);
|
||
}
|
||
|
||
return getSizeFromAspectRatio(args.aspectRatio, args.quality);
|
||
}
|
||
|
||
function buildParameters(
|
||
family: DashScopeModelFamily,
|
||
size: string,
|
||
): Record<string, unknown> {
|
||
if (family === "wan27") {
|
||
return {
|
||
size,
|
||
n: 1,
|
||
watermark: false,
|
||
};
|
||
}
|
||
|
||
const parameters: Record<string, unknown> = {
|
||
prompt_extend: false,
|
||
size,
|
||
};
|
||
|
||
if (family === "qwen2" || family === "qwenFixed") {
|
||
parameters.watermark = false;
|
||
parameters.negative_prompt = QWEN_NEGATIVE_PROMPT;
|
||
}
|
||
|
||
return parameters;
|
||
}
|
||
|
||
type DashScopeResponse = {
|
||
output?: {
|
||
result_image?: string;
|
||
choices?: Array<{
|
||
message?: {
|
||
content?: Array<{ image?: string }>;
|
||
};
|
||
}>;
|
||
};
|
||
};
|
||
|
||
async function extractImageFromResponse(result: DashScopeResponse): Promise<Uint8Array> {
|
||
let imageData: string | null = null;
|
||
|
||
if (result.output?.result_image) {
|
||
imageData = result.output.result_image;
|
||
} else if (result.output?.choices?.[0]?.message?.content) {
|
||
const content = result.output.choices[0].message.content;
|
||
for (const item of content) {
|
||
if (item.image) {
|
||
imageData = item.image;
|
||
break;
|
||
}
|
||
}
|
||
}
|
||
|
||
if (!imageData) {
|
||
console.error("Response:", JSON.stringify(result, null, 2));
|
||
throw new Error("No image in response");
|
||
}
|
||
|
||
if (imageData.startsWith("http://") || imageData.startsWith("https://")) {
|
||
const imgRes = await fetch(imageData);
|
||
if (!imgRes.ok) throw new Error("Failed to download image");
|
||
const buf = await imgRes.arrayBuffer();
|
||
return new Uint8Array(buf);
|
||
}
|
||
|
||
return Uint8Array.from(Buffer.from(imageData, "base64"));
|
||
}
|
||
|
||
export async function generateImage(
|
||
prompt: string,
|
||
model: string,
|
||
args: CliArgs
|
||
): Promise<Uint8Array> {
|
||
const apiKey = getApiKey();
|
||
if (!apiKey) throw new Error("DASHSCOPE_API_KEY is required");
|
||
|
||
const spec = getModelSpec(model);
|
||
|
||
if (args.referenceImages.length > 0 && spec.family !== "wan27") {
|
||
throw new Error(
|
||
"Reference images are not supported with this DashScope model. Use a wan2.7 image model (--model wan2.7-image-pro or wan2.7-image), or switch to --provider google with a Gemini multimodal model."
|
||
);
|
||
}
|
||
|
||
if (args.referenceImages.length > WAN27_MAX_REFERENCE_IMAGES) {
|
||
throw new Error(
|
||
`DashScope wan2.7 image models accept at most ${WAN27_MAX_REFERENCE_IMAGES} reference images. Received ${args.referenceImages.length}.`
|
||
);
|
||
}
|
||
|
||
if (spec.family === "wan27" && args.n !== 1) {
|
||
throw new Error(
|
||
"DashScope wan2.7 image models in baoyu-image-gen support exactly one output image per request (extra images would be billed but discarded). Remove --n or use --n 1."
|
||
);
|
||
}
|
||
|
||
const size = resolveSizeForModel(model, args);
|
||
const url = `${getBaseUrl()}/api/v1/services/aigc/multimodal-generation/generation`;
|
||
|
||
const content: Array<Record<string, unknown>> = [];
|
||
if (spec.family === "wan27" && args.referenceImages.length > 0) {
|
||
for (const refPath of args.referenceImages) {
|
||
content.push({ image: await loadReferenceImage(refPath) });
|
||
}
|
||
}
|
||
content.push({ text: prompt });
|
||
|
||
const body = {
|
||
model,
|
||
input: {
|
||
messages: [
|
||
{
|
||
role: "user",
|
||
content,
|
||
},
|
||
],
|
||
},
|
||
parameters: buildParameters(spec.family, size),
|
||
};
|
||
|
||
console.log(`Generating image with DashScope (${model})...`, { family: spec.family, size });
|
||
|
||
const res = await fetch(url, {
|
||
method: "POST",
|
||
headers: {
|
||
"Content-Type": "application/json",
|
||
Authorization: `Bearer ${apiKey}`,
|
||
},
|
||
body: JSON.stringify(body),
|
||
});
|
||
|
||
if (!res.ok) {
|
||
const err = await res.text();
|
||
throw new Error(`DashScope API error (${res.status}): ${err}`);
|
||
}
|
||
|
||
const result = await res.json() as DashScopeResponse;
|
||
return extractImageFromResponse(result);
|
||
}
|