/** * 快米兔 → Toonflow 供应商脚本 * 在 Toonflow「模型服务」里新增供应商，把本文件整份粘进去。 * Base URL 用 https://api.52pay.com/v1。令牌分组选「自动选组」，一把即可。 */ type VideoMode = | "singleImage" | "startEndRequired" | "endFrameOptional" | "startFrameOptional" | "text" | (`videoReference:${number}` | `imageReference:${number}` | `audioReference:${number}`)[]; interface TextModel { name: string; modelName: string; type: "text"; think: boolean; } interface ImageModel { name: string; modelName: string; type: "image"; mode: ("text" | "singleImage" | "multiReference")[]; } interface VideoModel { name: string; modelName: string; type: "video"; mode: VideoMode[]; audio: "optional" | false | true; durationResolutionMap: { duration: number[]; resolution: string[] }[]; } interface TTSModel { name: string; modelName: string; type: "tts"; voices: { title: string; voice: string }[]; } interface VendorConfig { id: string; version: string; name: string; author: string; description?: string; inputs: { key: string; label: string; type: "text" | "password" | "url"; required: boolean; placeholder?: string; }[]; inputValues: Record; models: (TextModel | ImageModel | VideoModel | TTSModel)[]; } type ReferenceList = | { type: "image"; sourceType: "base64"; base64: string } | { type: "audio"; sourceType: "base64"; base64: string } | { type: "video"; sourceType: "base64"; base64: string }; interface ImageConfig { prompt: string; referenceList?: Extract[]; size: "1K" | "2K" | "4K"; aspectRatio: `${number}:${number}`; } interface VideoConfig { duration: number; resolution: string; aspectRatio: "16:9" | "9:16"; prompt: string; referenceList?: ReferenceList[]; audio?: boolean; mode: VideoMode[]; } interface TTSConfig { text: string; voice: string; speechRate: number; pitchRate: number; volume: number; } interface PollResult { completed: boolean; data?: string; error?: string; } declare const logger: (msg: string) => void; declare const urlToBase64: (url: string) => Promise; declare const pollTask: (fn: () => Promise, interval?: number, timeout?: number) => Promise; declare const createOpenAI: any; declare const exports: { vendor: VendorConfig; textRequest: (m: TextModel, t: boolean, tl: 0 | 1 | 2 | 3) => any; imageRequest: (c: ImageConfig, m: ImageModel) => Promise; videoRequest: (c: VideoConfig, m: VideoModel) => Promise; ttsRequest: (c: TTSConfig, m: TTSModel) => Promise; }; const vendor: VendorConfig = { id: "kuaimitu", version: "1.3", author: "快米兔", name: "快米兔 API", description: "快米兔 API（api.52pay.com）。文本走对话补全，出图走 /images/generations，视频走 /videos。\n\n令牌分组选「自动选组」，一把密钥即可。Base URL 保持 https://api.52pay.com/v1 。", inputs: [ { key: "apiKey", label: "API 密钥", type: "password", required: true, placeholder: "sk-..." }, { key: "baseUrl", label: "Base URL", type: "url", required: true, placeholder: "https://api.52pay.com/v1" }, ], inputValues: { apiKey: "", baseUrl: "https://api.52pay.com/v1", }, models: [ { name: "DeepSeek V4 Flash（深度求索）", modelName: "deepseek-v4-flash", type: "text", think: false }, { name: "DeepSeek V4 Pro（深度求索）", modelName: "deepseek-v4-pro", type: "text", think: true }, { name: "MiniMax M2.7（稀宇）", modelName: "MiniMax-M2.7", type: "text", think: true }, { name: "MiniMax M3（稀宇）", modelName: "MiniMax-M3", type: "text", think: true }, { name: "Claude Haiku 4.5（Anthropic）", modelName: "claude-haiku-4-5-20251001", type: "text", think: false }, { name: "Claude Sonnet 4.6（Anthropic）", modelName: "claude-sonnet-4-6", type: "text", think: false }, { name: "Claude Opus 4.8（Anthropic）", modelName: "claude-opus-4-8", type: "text", think: true }, { name: "GLM-5.3（智谱）", modelName: "glm-5.3", type: "text", think: true }, { name: "GLM-5.3 Flash（智谱）", modelName: "glm-5.3-flash", type: "text", think: false }, { name: "GPT-5.5（OpenAI）", modelName: "gpt-5.5", type: "text", think: false }, { name: "GPT-5.6 Sol（OpenAI）", modelName: "gpt-5.6-sol", type: "text", think: true }, { name: "GPT-6.1 Sol（OpenAI）", modelName: "gpt-6.1-sol", type: "text", think: true }, { name: "GPT-6 Astra（OpenAI）", modelName: "gpt-6-astra", type: "text", think: false }, { name: "Gemini 3.8 Flash（谷歌）", modelName: "gemini-3.8-flash", type: "text", think: false }, { name: "Gemini 4 Argon（谷歌）", modelName: "gemini-4-argon", type: "text", think: true }, { name: "Grok 4.7（xAI）", modelName: "grok-4.7", type: "text", think: true }, { name: "Kimi K3（月之暗面）", modelName: "kimi-k3", type: "text", think: true }, { name: "Qwen3.8 Max（通义）", modelName: "qwen3.8-max", type: "text", think: true }, { name: "Seed 2.1 Pro（豆包）", modelName: "doubao-seed-2.1-pro", type: "text", think: false }, { name: "MiMo V2.6 Pro（小米）", modelName: "mimo-v2.6-pro", type: "text", think: false }, { name: "GPT Image 2（OpenAI 出图）", modelName: "gpt-image-2", type: "image", mode: ["text", "singleImage"] }, { name: "GPT Image 2.5（OpenAI 出图）", modelName: "gpt-image-2.5", type: "image", mode: ["text", "singleImage"] }, { name: "Nano Banana 2.1（谷歌出图）", modelName: "gemini-nano-banana-2.1", type: "image", mode: ["text", "singleImage", "multiReference"], }, { name: "Gemini 3.1 Flash Image（谷歌出图）", modelName: "gemini-3.1-flash-image", type: "image", mode: ["text", "singleImage"], }, { name: "Seedream 4.0（即梦）", modelName: "doubao-seedream-4.0", type: "image", mode: ["text", "singleImage"] }, { name: "Seedream 5.0 Pro（即梦）", modelName: "doubao-seedream-5.0-pro", type: "image", mode: ["text", "singleImage"] }, { name: "Seedream 5.0 Flash（即梦）", modelName: "doubao-seedream-5.0-flash", type: "image", mode: ["text", "singleImage"] }, { name: "MiniMax H3（稀宇视频）", modelName: "MiniMax-H3", type: "video", mode: ["text", "singleImage"], audio: false, durationResolutionMap: [{ duration: [4, 8, 12], resolution: ["768p", "2k"] }], }, { name: "MiniMax H3 2K（稀宇视频）", modelName: "MiniMax-H3-2K", type: "video", mode: ["text", "singleImage"], audio: false, durationResolutionMap: [{ duration: [4, 8, 12], resolution: ["2k"] }], }, { name: "Kling 4.0（可灵）", modelName: "kling-4.0", type: "video", mode: ["text", "singleImage"], audio: false, durationResolutionMap: [{ duration: [5, 10, 15], resolution: ["720p", "1080p"] }], }, { name: "Kling O3（可灵）", modelName: "KlingO3", type: "video", mode: ["text", "singleImage"], audio: false, durationResolutionMap: [{ duration: [5, 8, 10, 15], resolution: ["720p", "1080p"] }], }, { name: "Seedance 2.0（即梦视频）", modelName: "seedance-2.0", type: "video", mode: ["text", "singleImage"], audio: false, durationResolutionMap: [{ duration: [5, 10, 15], resolution: ["720p", "1080p"] }], }, { name: "Seedance 2.5（即梦视频）", modelName: "seedance-2.5", type: "video", mode: ["text", "singleImage"], audio: false, durationResolutionMap: [{ duration: [5, 10, 15], resolution: ["720p", "1080p"] }], }, { name: "Seedance 2.0 海外（即梦视频）", modelName: "Seedance 2.0 海外", type: "video", mode: ["text", "singleImage"], audio: false, durationResolutionMap: [{ duration: [5, 10, 15], resolution: ["720p", "1080p"] }], }, { name: "Seedance 2.5 海外（即梦视频）", modelName: "Seedance 2.5 海外", type: "video", mode: ["text", "singleImage"], audio: false, durationResolutionMap: [{ duration: [5, 10, 15], resolution: ["720p", "1080p"] }], }, { name: "Wan 3.0（通义万相）", modelName: "wan3.0", type: "video", mode: ["text", "singleImage"], audio: false, durationResolutionMap: [{ duration: [5, 10, 15], resolution: ["720p", "1080p"] }], }, { name: "Wan 3.0 视频（通义万相）", modelName: "wan3.0-video", type: "video", mode: ["text", "singleImage"], audio: false, durationResolutionMap: [{ duration: [5, 10, 15], resolution: ["480p", "720p", "1080p"] }], }, ], }; function apiKey() { const raw = String(vendor.inputValues.apiKey || "").trim(); if (!raw) throw new Error("缺少 API 密钥"); return raw.replace(/^Bearer\s+/i, ""); } function baseUrl() { return String(vendor.inputValues.baseUrl || "https://api.52pay.com/v1").replace(/\/$/, ""); } function authHeaders(json = true) { const headers: Record = { Authorization: `Bearer ${apiKey()}` }; if (json) headers["Content-Type"] = "application/json"; return headers; } async function readError(response: any) { const text = await response.text(); try { const json = JSON.parse(text); return json?.error?.message || json?.message || text || `请求失败 (${response.status})`; } catch { return text || `请求失败 (${response.status})`; } } function imagePixelSize(aspect: string, tier: string) { const table: Record> = { "1:1": { "1K": "1024x1024", "2K": "2048x2048", "4K": "4096x4096" }, "16:9": { "1K": "1536x1024", "2K": "2560x1440", "4K": "3840x2160" }, "9:16": { "1K": "1024x1536", "2K": "1440x2560", "4K": "2160x3840" }, }; return table[aspect]?.[tier] || table["1:1"][tier] || "1024x1024"; } function imageModelName(modelName: string, size: string) { if (!/^gpt-image-2$/i.test(modelName)) return modelName; if (size === "4K") return "gpt-image-2-4k"; if (size === "2K") return "gpt-image-2-2k"; return "gpt-image-2"; } async function imageToDataUrl(item: { url?: string; b64_json?: string }) { if (item?.b64_json) { const raw = item.b64_json; return raw.startsWith("data:") ? raw : `data:image/png;base64,${raw}`; } if (item?.url) return urlToBase64(item.url); throw new Error("出图结果里没有图片"); } const textRequest = (model: TextModel, _think: boolean, _thinkLevel: 0 | 1 | 2 | 3) => { return createOpenAI({ baseURL: baseUrl(), apiKey: apiKey() }).chat(model.modelName); }; const imageRequest = async (config: ImageConfig, model: ImageModel): Promise => { const size = imagePixelSize(config.aspectRatio, config.size); const refs = (config.referenceList || []).map((item) => item.base64).filter(Boolean); const body: Record = { model: imageModelName(model.modelName, config.size), prompt: config.prompt, n: 1, size, }; if (refs.length === 1) body.image = refs[0]; else if (refs.length > 1) body.image = refs; logger(`[kuaimitu] 出图 ${body.model} ${size}`); const response = await fetch(`${baseUrl()}/images/generations`, { method: "POST", headers: { ...authHeaders(), "X-Kmt-Async": "1" }, body: JSON.stringify(body), }); if (!response.ok) throw new Error(await readError(response)); const created = await response.json(); if (created?.data?.[0]) return imageToDataUrl(created.data[0]); const taskId = String(created?.id || ""); if (!taskId) throw new Error("出图没有返回图片，也没有任务号"); const polled = await pollTask(async () => { const query = await fetch(`${baseUrl()}/images/tasks/${encodeURIComponent(taskId)}`, { headers: authHeaders(false), }); if (!query.ok) throw new Error(await readError(query)); const json = await query.json(); if (json.status === "completed") return { completed: true, data: JSON.stringify(json.data?.[0] || {}) }; if (json.status === "failed") return { completed: true, error: json.error?.message || "出图失败" }; return { completed: false }; }, 3000, 30 * 60 * 1000); if (polled.error) throw new Error(polled.error); return imageToDataUrl(JSON.parse(polled.data || "{}")); }; const videoRequest = async (config: VideoConfig, model: VideoModel): Promise => { const images = (config.referenceList || []).filter((item) => item.type === "image").map((item) => item.base64); const lower = model.modelName.toLowerCase(); const body: Record = { model: model.modelName, prompt: config.prompt, seconds: String(config.duration), aspect_ratio: config.aspectRatio, }; if (lower.includes("kling-4") || lower.includes("klingo3")) { body.resolution = /1080/.test(config.resolution) ? "1080p" : "720p"; } else if (lower.includes("kling")) { const mode = /1080/.test(config.resolution) ? "pro" : "std"; body.mode = mode; body.metadata = { duration: String(config.duration), aspect_ratio: config.aspectRatio, mode }; } if (lower.includes("minimax-h3") || lower.includes("minimax_h3")) { body.resolution = /2k/i.test(config.resolution) ? "2K" : "768P"; } if (lower.includes("seedance") || lower.includes("wan3")) { const picked = String(config.resolution || ""); body.resolution = /1080/.test(picked) ? "1080p" : /480/.test(picked) ? "480p" : "720p"; } if (images[0]) body.input_reference = { image_url: images[0] }; logger(`[kuaimitu] 提交视频 ${model.modelName}`); const response = await fetch(`${baseUrl()}/videos`, { method: "POST", headers: authHeaders(), body: JSON.stringify(body), }); if (!response.ok) throw new Error(await readError(response)); const created = await response.json(); const taskId = String(created?.id || created?.task_id || ""); if (!taskId) throw new Error("视频已提交，但没有任务号"); const polled = await pollTask(async () => { const query = await fetch(`${baseUrl()}/videos/${encodeURIComponent(taskId)}`, { headers: authHeaders(false), }); if (!query.ok) throw new Error(await readError(query)); const json = await query.json(); const status = String(json?.status || json?.data?.status || "").toLowerCase(); if (["completed", "succeeded", "success", "done"].includes(status)) { const url = json.video_url || json.url || json.data?.video_url || json.data?.url || ""; return { completed: true, data: url || taskId }; } if (["failed", "fail", "error", "canceled", "cancelled"].includes(status)) { return { completed: true, error: json?.error?.message || "视频生成失败" }; } return { completed: false }; }, 5000, 20 * 60 * 1000); if (polled.error) throw new Error(polled.error); const result = String(polled.data || ""); if (/^https?:\/\//i.test(result)) return urlToBase64(result); const file = await fetch(`${baseUrl()}/videos/${encodeURIComponent(taskId)}/content`, { headers: authHeaders(false), }); if (!file.ok) throw new Error(await readError(file)); const bytes = new Uint8Array(await file.arrayBuffer()); let binary = ""; const chunk = 0x8000; for (let i = 0; i < bytes.length; i += chunk) { binary += String.fromCharCode(...bytes.subarray(i, i + chunk)); } return `data:video/mp4;base64,${btoa(binary)}`; }; const ttsRequest = async (_config: TTSConfig, _model: TTSModel): Promise => { throw new Error("快米兔这份脚本还没有接语音"); }; exports.vendor = vendor; exports.textRequest = textRequest; exports.imageRequest = imageRequest; exports.videoRequest = videoRequest; exports.ttsRequest = ttsRequest; export {};

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