8eda27f241
PR #9 已完成首页和 layout 的视觉品牌迁移,此 commit 补齐剩余的 技术性改名 —— workspace 包名、source import、localStorage 键、 CSS keyframe、内部 header logo、.env.example、README。 - @yume/* → @infiplot/* (6 package.json + 17 imports + lockfile) - localStorage/sessionStorage: yume:* → infiplot:* (含 PR #9 新增的 yume:hintClosed) - CSS keyframe yume-ripple → infiplot-ripple - new/play 页面 header logo "云梦" → "InfiPlot" - 代码注释中的「云梦」style 形容词删除(layout.tsx, page.tsx) - 根 package.json name + description(描述跟齐 staging "AI 实时交互剧情游戏") - README: tagline / Vercel deploy URL / 目录树 / engine 描述 保留:prompts.ts 的 LLM 体裁术语「视觉小说/galgame」、CustomForm placeholder 的「视觉小说画风」(图像模型识别的风格名词)。 Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
131 lines
4.5 KiB
TypeScript
131 lines
4.5 KiB
TypeScript
import type { ProviderConfig } from "@infiplot/types";
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import { fetchWithRetry } from "./fetchWithRetry";
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// Runware uses its own task-array protocol (not OpenAI-compatible).
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// POST <baseUrl> with [{ taskType: "imageInference", ... }]; errors come
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// back as a 200 with `errors[]`, so we have to inspect the body either way.
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//
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// referenceImages accepts UUIDs, public URLs, or base64. UUID is cheapest
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// in transport cost; URL is next; base64 last resort. The FLUX.2 [klein] 9B
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// KV variant (runware:400@6) accelerates multi-reference inference ~2.5× via
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// its KV cache for reference latents (cached only within one inference run,
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// not persisted across calls — hence the need to keep stable UUIDs/URLs for
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// later reuse).
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//
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// We request outputType=URL so Runware persists the image and returns a CDN
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// link the client can render directly. The same response also carries the
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// image UUID, so we never need a separate uploadImage round-trip to anchor
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// future referenceImages.
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const DEFAULT_IMG2IMG_STRENGTH = 0.85;
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const MAX_REFERENCE_IMAGES = 4;
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type RunwareImageResult = {
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imageURL?: string;
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imageUUID?: string;
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};
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type RunwareError = {
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code?: string;
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message?: string;
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parameter?: string;
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};
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type RunwareResponse = {
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data?: RunwareImageResult[];
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errors?: RunwareError[];
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};
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export type GenerateImageOptions = {
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/**
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* Reference image (UUID, public URL, or base64) for img2img. When set,
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* FLUX preserves the seed image's composition and applies `strength` to
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* deviate. NOTE: FLUX.2 [klein] 9B KV does NOT support seedImage — use
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* `referenceImages` for visual continuity instead.
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*/
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seedImage?: string;
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/**
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* Reference images (UUIDs, URLs, or base64) to condition generation on —
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* typically character portraits + the prior scene image. Runware caps at 4;
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* we silently truncate beyond that.
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*/
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referenceImages?: string[];
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/** 0–1, FLUX needs ≥ 0.8 to actually have an effect. */
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strength?: number;
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};
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export type GenerateImageResult = {
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/** Public CDN URL of the generated image (Runware-hosted). */
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imageUrl: string;
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/** Stable UUID for cheap re-reference in later `referenceImages`. */
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imageUuid: string;
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};
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// ──────────────────────────────────────────────────────────────────────
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// generateImage — text-to-image (default) or referenceImages-conditioned.
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// Returns both the public URL (for client display + future references)
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// and the UUID (cheapest reference form for subsequent calls).
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// ──────────────────────────────────────────────────────────────────────
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export async function generateImage(
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config: ProviderConfig,
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prompt: string,
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options?: GenerateImageOptions,
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): Promise<GenerateImageResult> {
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const url = config.baseUrl.replace(/\/$/, "");
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const task: Record<string, unknown> = {
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taskType: "imageInference",
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taskUUID: crypto.randomUUID(),
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model: config.model,
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positivePrompt: prompt,
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width: 1792,
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height: 1024,
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steps: 4,
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CFGScale: 3.5,
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numberResults: 1,
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outputType: "URL",
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outputFormat: "PNG",
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includeCost: false,
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};
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if (options?.seedImage) {
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task.seedImage = options.seedImage;
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task.strength = options.strength ?? DEFAULT_IMG2IMG_STRENGTH;
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}
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if (options?.referenceImages?.length) {
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task.referenceImages = options.referenceImages.slice(0, MAX_REFERENCE_IMAGES);
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}
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const res = await fetchWithRetry(url, {
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method: "POST",
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headers: {
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"Content-Type": "application/json",
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Authorization: `Bearer ${config.apiKey}`,
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},
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body: JSON.stringify([task]),
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});
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const text = await res.text();
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let json: RunwareResponse;
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try {
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json = JSON.parse(text) as RunwareResponse;
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} catch {
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throw new Error(`Image API error ${res.status}: ${text.slice(0, 500)}`);
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}
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if (json.errors?.length) {
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const e = json.errors[0]!;
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throw new Error(
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`Runware error [${e.code ?? "unknown"}]: ${e.message ?? "no message"}` +
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(e.parameter ? ` (parameter: ${e.parameter})` : ""),
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);
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}
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const result = json.data?.[0];
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const imageUrl = result?.imageURL;
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const imageUuid = result?.imageUUID;
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if (!imageUrl || !imageUuid) {
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throw new Error(`No image URL/UUID in Runware response: ${text.slice(0, 300)}`);
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}
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return { imageUrl, imageUuid };
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}
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