import util from 'node:util'; import { Buffer } from 'node:buffer'; import fetch from 'node-fetch'; import express from 'express'; import { readSecret, SECRET_KEYS } from './secrets.js'; import { readAllChunks, extractFileFromZipBuffer, forwardFetchResponse } from '../util.js'; const API_NOVELAI = 'https://api.novelai.net'; const TEXT_NOVELAI = 'https://text.novelai.net'; const IMAGE_NOVELAI = 'https://image.novelai.net'; // Ban bracket generation, plus defaults const badWordsList = [ [3], [49356], [1431], [31715], [34387], [20765], [30702], [10691], [49333], [1266], [19438], [43145], [26523], [41471], [2936], [85, 85], [49332], [7286], [1115], [24], ]; const eratoBadWordsList = [ [16067], [933, 11144], [25106, 11144], [58, 106901, 16073, 33710, 25, 109933], [933, 58, 11144], [128030], [58, 30591, 33503, 17663, 100204, 25, 11144], ]; const hypeBotBadWordsList = [ [58], [60], [90], [92], [685], [1391], [1782], [2361], [3693], [4083], [4357], [4895], [5512], [5974], [7131], [8183], [8351], [8762], [8964], [8973], [9063], [11208], [11709], [11907], [11919], [12878], [12962], [13018], [13412], [14631], [14692], [14980], [15090], [15437], [16151], [16410], [16589], [17241], [17414], [17635], [17816], [17912], [18083], [18161], [18477], [19629], [19779], [19953], [20520], [20598], [20662], [20740], [21476], [21737], [22133], [22241], [22345], [22935], [23330], [23785], [23834], [23884], [25295], [25597], [25719], [25787], [25915], [26076], [26358], [26398], [26894], [26933], [27007], [27422], [28013], [29164], [29225], [29342], [29565], [29795], [30072], [30109], [30138], [30866], [31161], [31478], [32092], [32239], [32509], [33116], [33250], [33761], [34171], [34758], [34949], [35944], [36338], [36463], [36563], [36786], [36796], [36937], [37250], [37913], [37981], [38165], [38362], [38381], [38430], [38892], [39850], [39893], [41832], [41888], [42535], [42669], [42785], [42924], [43839], [44438], [44587], [44926], [45144], [45297], [46110], [46570], [46581], [46956], [47175], [47182], [47527], [47715], [48600], [48683], [48688], [48874], [48999], [49074], [49082], [49146], [49946], [10221], [4841], [1427], [2602, 834], [29343], [37405], [35780], [2602], [50256], ]; // Used for phrase repetition penalty const repPenaltyAllowList = [ [49256, 49264, 49231, 49230, 49287, 85, 49255, 49399, 49262, 336, 333, 432, 363, 468, 492, 745, 401, 426, 623, 794, 1096, 2919, 2072, 7379, 1259, 2110, 620, 526, 487, 16562, 603, 805, 761, 2681, 942, 8917, 653, 3513, 506, 5301, 562, 5010, 614, 10942, 539, 2976, 462, 5189, 567, 2032, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 588, 803, 1040, 49209, 4, 5, 6, 7, 8, 9, 10, 11, 12], ]; const eratoRepPenWhitelist = [ 6, 1, 11, 13, 25, 198, 12, 9, 8, 279, 264, 459, 323, 477, 539, 912, 374, 574, 1051, 1550, 1587, 4536, 5828, 15058, 3287, 3250, 1461, 1077, 813, 11074, 872, 1202, 1436, 7846, 1288, 13434, 1053, 8434, 617, 9167, 1047, 19117, 706, 12775, 649, 4250, 527, 7784, 690, 2834, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 1210, 1359, 608, 220, 596, 956, 3077, 44886, 4265, 3358, 2351, 2846, 311, 389, 315, 304, 520, 505, 430, ]; // Ban the dinkus and asterism const logitBiasExp = [ { 'sequence': [23], 'bias': -0.08, 'ensure_sequence_finish': false, 'generate_once': false }, { 'sequence': [21], 'bias': -0.08, 'ensure_sequence_finish': false, 'generate_once': false }, ]; const eratoLogitBiasExp = [ { 'sequence': [12488], 'bias': -0.08, 'ensure_sequence_finish': false, 'generate_once': false }, { 'sequence': [128041], 'bias': -0.08, 'ensure_sequence_finish': false, 'generate_once': false }, ]; function getBadWordsList(model) { let list = []; if (model.includes('hypebot')) { list = hypeBotBadWordsList; } if (model.includes('clio') || model.includes('kayra')) { list = badWordsList; } if (model.includes('erato')) { list = eratoBadWordsList; } // Clone the list so we don't modify the original return list.slice(); } function getLogitBiasList(model) { let list = []; if (model.includes('erato')) { list = eratoLogitBiasExp; } if (model.includes('clio') || model.includes('kayra')) { list = logitBiasExp; } return list.slice(); } function getRepPenaltyWhitelist(model) { if (model.includes('clio') || model.includes('kayra')) { return repPenaltyAllowList.flat(); } if (model.includes('erato')) { return eratoRepPenWhitelist.flat(); } return null; } export const router = express.Router(); router.post('/status', async function (req, res) { if (!req.body) return res.sendStatus(400); const api_key_novel = readSecret(req.user.directories, SECRET_KEYS.NOVEL); if (!api_key_novel) { console.warn('NovelAI Access Token is missing.'); return res.sendStatus(400); } try { const response = await fetch(API_NOVELAI + '/user/subscription', { method: 'GET', headers: { 'Content-Type': 'application/json', 'Authorization': 'Bearer ' + api_key_novel, }, }); if (response.ok) { const data = await response.json(); return res.send(data); } else if (response.status == 401) { console.error('NovelAI Access Token is incorrect.'); return res.send({ error: true }); } else { console.warn('NovelAI returned an error:', response.statusText); return res.send({ error: true }); } } catch (error) { console.error(error); return res.send({ error: true }); } }); router.post('/generate', async function (req, res) { if (!req.body) return res.sendStatus(400); const api_key_novel = readSecret(req.user.directories, SECRET_KEYS.NOVEL); if (!api_key_novel) { console.warn('NovelAI Access Token is missing.'); return res.sendStatus(400); } const controller = new AbortController(); req.socket.removeAllListeners('close'); req.socket.on('close', function () { controller.abort(); }); // Add customized bad words for Clio, Kayra, and Erato const badWordsList = getBadWordsList(req.body.model); if (Array.isArray(badWordsList) && Array.isArray(req.body.bad_words_ids)) { for (const badWord of req.body.bad_words_ids) { if (Array.isArray(badWord) && badWord.every(x => Number.isInteger(x))) { badWordsList.push(badWord); } } } // Remove empty arrays from bad words list for (const badWord of badWordsList) { if (badWord.length === 0) { badWordsList.splice(badWordsList.indexOf(badWord), 1); } } // Add default biases for dinkus and asterism const logitBiasList = getLogitBiasList(req.body.model); if (Array.isArray(logitBiasList) && Array.isArray(req.body.logit_bias_exp)) { logitBiasList.push(...req.body.logit_bias_exp); } const repPenWhitelist = getRepPenaltyWhitelist(req.body.model); const data = { 'input': req.body.input, 'model': req.body.model, 'parameters': { 'use_string': req.body.use_string ?? true, 'temperature': req.body.temperature, 'max_length': req.body.max_length, 'min_length': req.body.min_length, 'tail_free_sampling': req.body.tail_free_sampling, 'repetition_penalty': req.body.repetition_penalty, 'repetition_penalty_range': req.body.repetition_penalty_range, 'repetition_penalty_slope': req.body.repetition_penalty_slope, 'repetition_penalty_frequency': req.body.repetition_penalty_frequency, 'repetition_penalty_presence': req.body.repetition_penalty_presence, 'repetition_penalty_whitelist': repPenWhitelist, 'top_a': req.body.top_a, 'top_p': req.body.top_p, 'top_k': req.body.top_k, 'typical_p': req.body.typical_p, 'mirostat_lr': req.body.mirostat_lr, 'mirostat_tau': req.body.mirostat_tau, 'phrase_rep_pen': req.body.phrase_rep_pen, 'stop_sequences': req.body.stop_sequences, 'bad_words_ids': badWordsList.length ? badWordsList : null, 'logit_bias_exp': logitBiasList, 'generate_until_sentence': req.body.generate_until_sentence, 'use_cache': req.body.use_cache, 'return_full_text': req.body.return_full_text, 'prefix': req.body.prefix, 'order': req.body.order, 'num_logprobs': req.body.num_logprobs, 'min_p': req.body.min_p, 'math1_temp': req.body.math1_temp, 'math1_quad': req.body.math1_quad, 'math1_quad_entropy_scale': req.body.math1_quad_entropy_scale, }, }; // Tells the model to stop generation at '>' if ('theme_textadventure' === req.body.prefix) { if (req.body.model.includes('clio') || req.body.model.includes('kayra')) { data.parameters.eos_token_id = 49405; } if (req.body.model.includes('erato')) { data.parameters.eos_token_id = 29; } } console.debug(util.inspect(data, { depth: 4 })); const args = { body: JSON.stringify(data), headers: { 'Content-Type': 'application/json', 'Authorization': 'Bearer ' + api_key_novel }, signal: controller.signal, }; try { const baseURL = (req.body.model.includes('kayra') || req.body.model.includes('erato')) ? TEXT_NOVELAI : API_NOVELAI; const url = req.body.streaming ? `${baseURL}/ai/generate-stream` : `${baseURL}/ai/generate`; const response = await fetch(url, { method: 'POST', ...args }); if (req.body.streaming) { // Pipe remote SSE stream to Express response forwardFetchResponse(response, res); } else { if (!response.ok) { const text = await response.text(); let message = text; console.warn(`Novel API returned error: ${response.status} ${response.statusText} ${text}`); try { const data = JSON.parse(text); message = data.message; } catch { // ignore } return res.status(500).send({ error: { message } }); } /** @type {any} */ const data = await response.json(); console.info('NovelAI Output', data?.output); return res.send(data); } } catch (error) { return res.send({ error: true }); } }); router.post('/generate-image', async (request, response) => { if (!request.body) { return response.sendStatus(400); } const key = readSecret(request.user.directories, SECRET_KEYS.NOVEL); if (!key) { console.warn('NovelAI Access Token is missing.'); return response.sendStatus(400); } try { console.debug('NAI Diffusion request:', request.body); const generateUrl = `${IMAGE_NOVELAI}/ai/generate-image`; const generateResult = await fetch(generateUrl, { method: 'POST', headers: { 'Authorization': `Bearer ${key}`, 'Content-Type': 'application/json', }, body: JSON.stringify({ action: 'generate', input: request.body.prompt ?? '', model: request.body.model ?? 'nai-diffusion', parameters: { params_version: 3, prefer_brownian: true, negative_prompt: request.body.negative_prompt ?? '', height: request.body.height ?? 512, width: request.body.width ?? 512, scale: request.body.scale ?? 9, seed: request.body.seed >= 0 ? request.body.seed : Math.floor(Math.random() * 9999999999), sampler: request.body.sampler ?? 'k_dpmpp_2m', noise_schedule: request.body.scheduler ?? 'karras', steps: request.body.steps ?? 28, n_samples: 1, // NAI handholding for prompts ucPreset: 0, qualityToggle: false, add_original_image: false, controlnet_strength: 1, deliberate_euler_ancestral_bug: false, dynamic_thresholding: request.body.decrisper ?? false, legacy: false, legacy_v3_extend: false, sm: request.body.sm ?? false, sm_dyn: request.body.sm_dyn ?? false, uncond_scale: 1, use_coords: false, characterPrompts: [], reference_image_multiple: [], reference_information_extracted_multiple: [], reference_strength_multiple: [], v4_negative_prompt: { caption: { base_caption: request.body.negative_prompt ?? '', char_captions: [], }, }, v4_prompt: { caption: { base_caption: request.body.prompt ?? '', char_captions: [], }, use_coords: false, use_order: true, }, }, }), }); if (!generateResult.ok) { const text = await generateResult.text(); console.warn('NovelAI returned an error.', generateResult.statusText, text); return response.sendStatus(500); } const archiveBuffer = await generateResult.arrayBuffer(); const imageBuffer = await extractFileFromZipBuffer(archiveBuffer, '.png'); if (!imageBuffer) { console.error('NovelAI generated an image, but the PNG file was not found.'); return response.sendStatus(500); } const originalBase64 = imageBuffer.toString('base64'); // No upscaling if (isNaN(request.body.upscale_ratio) || request.body.upscale_ratio <= 1) { return response.send(originalBase64); } try { console.info('Upscaling image...'); const upscaleUrl = `${API_NOVELAI}/ai/upscale`; const upscaleResult = await fetch(upscaleUrl, { method: 'POST', headers: { 'Authorization': `Bearer ${key}`, 'Content-Type': 'application/json', }, body: JSON.stringify({ image: originalBase64, height: request.body.height, width: request.body.width, scale: request.body.upscale_ratio, }), }); if (!upscaleResult.ok) { const text = await upscaleResult.text(); throw new Error('NovelAI returned an error.', { cause: text }); } const upscaledArchiveBuffer = await upscaleResult.arrayBuffer(); const upscaledImageBuffer = await extractFileFromZipBuffer(upscaledArchiveBuffer, '.png'); if (!upscaledImageBuffer) { throw new Error('NovelAI upscaled an image, but the PNG file was not found.'); } const upscaledBase64 = upscaledImageBuffer.toString('base64'); return response.send(upscaledBase64); } catch (error) { console.warn('NovelAI generated an image, but upscaling failed. Returning original image.', error); return response.send(originalBase64); } } catch (error) { console.error(error); return response.sendStatus(500); } }); router.post('/generate-voice', async (request, response) => { const token = readSecret(request.user.directories, SECRET_KEYS.NOVEL); if (!token) { console.error('NovelAI Access Token is missing.'); return response.sendStatus(400); } const text = request.body.text; const voice = request.body.voice; if (!text || !voice) { return response.sendStatus(400); } try { const url = `${API_NOVELAI}/ai/generate-voice?text=${encodeURIComponent(text)}&voice=-1&seed=${encodeURIComponent(voice)}&opus=false&version=v2`; const result = await fetch(url, { method: 'GET', headers: { 'Authorization': `Bearer ${token}`, 'Accept': 'audio/mpeg', }, }); if (!result.ok) { const errorText = await result.text(); console.error('NovelAI returned an error.', result.statusText, errorText); return response.sendStatus(500); } const chunks = await readAllChunks(result.body); const buffer = Buffer.concat(chunks.map(chunk => new Uint8Array(chunk))); response.setHeader('Content-Type', 'audio/mpeg'); return response.send(buffer); } catch (error) { console.error(error); return response.sendStatus(500); } });