const { createEmbed } = require("../../../labscore/utils/embed"); const { editOrReply } = require("../../../labscore/utils/message"); const superagent = require('superagent'); module.exports = { name: 'anime', label: 'query', metadata: { description: 'Uses Stable Diffusion to generate an image using anime styling from a text prompt.', description_short: 'AI Anime image generation', explicit: true, examples: ['anime otter'], category: 'image', usage: 'anime ' }, ratelimit: { type: 'guild', limit: 1, duration: 5000 }, run: async (context, args) => { if(!context.channel.nsfw) return editOrReply(context, {embeds:[createEmbed("nsfw", context)]}) if(args.query.length == 0) return editOrReply(context, {embeds:[createEmbed("warning", context, "Missing prompt")]}) let response = await editOrReply(context, { embeds: [createEmbed("loading", context, `Generating image...`)] }) let noticeTimer = setTimeout(()=>{ let emb = createEmbed("loading", context, `Generating image...`) emb.footer = { text: "This might take a moment to complete." }; response.edit({ embeds: [ emb ] }); }, 45000) try{ let t = Date.now(); let img = await superagent.get(`${process.env.AI_SERVER}/anime`) .query({ prompt: args.query }) clearTimeout(noticeTimer) if(img.body.message) return await response.edit({embeds:[createEmbed("warning", context, img.body.message)]}) let embeds = []; let files = []; embeds.push(createEmbed("default", context, {image: {url:`attachment://anime.png`}, url: `https://example.com`, footer: { iconUrl: `https://cdn.discordapp.com/avatars/${context.application.id}/${context.application.icon}.png?size=256`, text: `${context.application.name} • Took ${((Date.now() - t) / 1000).toFixed(2)}s` }})) files.push({ filename: `anime.png`, value: Buffer.from(img.body.image, 'base64') }) await response.edit({ embeds, files }) }catch(e){ clearTimeout(noticeTimer) console.log(e) await response.edit({embeds:[createEmbed("error", context, `Image generation failed.`)]}) } }, };