{
  "aboutHtml": "<p>Grok Imagine Image 2.0 — xAI’ning tasvir yaratish va tahrirlash modeli. U yozma tavsifni yoki tavsif bilan birga manba tasvirlarni qabul qilib, tasvir ko‘rinishidagi natijani qaytaradi. Ishlab chiqaruvchining 2.0 nomli profili sahna yaratish, mavjud tasvirni o‘zgartirish, namunalardagi obyektlarni birlashtirish va vizual uslubni almashtirishni qamrab oladi. Avval yangi kompozitsiya kerakligini yoki sizda bor materialga aniq o‘zgartirish kiritish zarurligini belgilang.</p><h4>Topshiriq asosida tasvir yaratish</h4><p>Asosiy obyektni, uning muhitini, kompozitsiyani, yoritishni va vizual yechimni tasvirlang. Tomoshabin birinchi navbatda nimaga e’tibor berishi va tasvir qayerda ishlatilishini ko‘rsating. Mahsulot konsepsiyasi uchun namunaviy topshiriqda och rangli tosh stol ustidagi sopol stol chirog‘i, derazadan tushadigan yumshoq yorug‘lik, materialning yaqindan ko‘rinishi va alohida sarlavha uchun bo‘sh joy tasvirlanishi mumkin. Illyustratsiyada esa butun sahnani bitta uslub so‘zi belgilaydi deb kutish o‘rniga, personajlar, harakat va kerakli estetikani aniq yozing.</p><p>Ishlab chiqaruvchi bitta yaratish so‘rovidan birdan o‘ntagacha tasvir olish mumkinligini ko‘rsatadi; standart qiymat — bitta. Bir topshiriqdan olingan bir nechta natija tanlash uchun variantlar beradi, ammo har bir variantda obyekt aynan bir xil bo‘lishini kafolatlamaydi. Obyekt, kompozitsiya va muhim detallarni tekshirib, topshiriqqa eng mos variantni saqlang. Keyingi tahrirlarda kerakli kompozitsiya ishlatilishi uchun topshiriq va tanlangan variantni birga saqlang.</p><h4>Kompozitsiya, aniqlik va sifat</h4><p>Yaratish qo‘llanmasida tomonlar nisbatini avtomatik tanlash yoki aniq nisbat belgilash bayon qilingan. Undagi variantlar: 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 2:1, 1:2, 19.5:9, 9:19.5, 20:9, 9:20, 21:9 va 5:2. Shaklni tasvir joylashtiriladigan maydonga mos tanlang: ixcham katak uchun kvadrat, vertikal kompozitsiya uchun portret, keng sahna uchun albom yo‘nalishi. Faqat tomonlar nisbatiga tayanmay, qirqilganda yo‘qolmasligi kerak bo‘lgan obyektni va maket uchun zarur bo‘sh joyni ko‘rsating.</p><p>Hujjatlarda yaratish aniqligi uchun 1k va 2k sozlamalari berilgan; standart qiymat — 1k. Sifat alohida boshqaruv bo‘lib, low, medium va auto variantlariga ega. xAI’ning joriy qo‘llanmasida auto standart qiymat bo‘lib, yaratishda low, tahrirlashda medium ishlatadi; low yoki medium aniq tanlansa, shu qiymat qat’iy qo‘llanadi. Demak, aniqlik va sifat turli sozlamalardir. Har qanday sozlamani yozuv, geometriya yoki obyektning aynan saqlanishiga kafolat deb qabul qilish o‘rniga, muhim vizual detallarni yozing va qaytgan tasvirda ularni tekshiring.</p><h4>Tahrirlash va vizual uslubni ko‘chirish</h4><p>O‘zgartiriladigan tasvirni yuboring va kerakli o‘zgarishni unda ko‘rinib turgan mazmunga bog‘lab tavsiflang. Masalan, aniq tahrir topshirig‘i mebellar joylashuvi, kamera nuqtasi va iliq yoritishni saqlagan holda qorong‘i devorni och rangli suvoq yuzasiga almashtirishni so‘rashi mumkin. Uslubiy o‘zgartirish kerak bo‘lsa, kerakli ishlov turini belgilang: ishlab chiqaruvchi fotografiya, anime, moybo‘yoq, akvarel, pop-art va qalam eskizi uslublarini namoyish etadi. Qaysi elementlar tashqi ko‘rinishini saqlashi, qaysilari esa uslubga mos o‘zgarishi mumkinligini ko‘rsating.</p><p>Ishlab chiqaruvchining tahrirlash jarayoni manba tasvirga havola, kodlangan tasvir ma’lumotlari yoki fayl identifikatorini qabul qiladi. Saqlangan namunalarda to‘liq yuklangan PNG, JPEG yoki WebP tasvirlardan foydalaning. Qo‘llanmada ketma-ket tahrirlar ham bayon qilingan: bir tahrir natijasini keyingisiga kirish sifatida bering. Shu yo‘l bilan dastlabki kompozitsiyani avval mebelni o‘zgartirib, so‘ng yoritishni sozlab, aniqroq natijaga aylantirish mumkin. Keyingi takomillashtirishni kerakli kompozitsiya bilan solishtirish uchun asl tasvir va tanlangan oraliq tasvirni tegishli topshiriq bilan birga saqlang.</p><h4>Bir nechta namunani birlashtirish</h4><p>Joriy ko‘p tasvirli qo‘llanmada bitta tahrirda beshtagacha manba tasvirdan foydalanishga ruxsat berilgan. Ularga yuborilgan tartibi bo‘yicha murojaat qiling va har biriga aniq vazifa bering, masalan, birinchi tasvirdan obyektni, ikkinchisidan muhitni olish. Natijaning tomonlar nisbati standart holda birinchi kirish tasviriga mos keladi; uni aniq nisbat ko‘rsatib almashtirish mumkin. Xonadagi mahsulot konsepsiyasida mahsulotning joylashuvi, o‘lchami va xona yuzalariga tegishini tasvirlang, so‘ng uni tanitadigan detallarni saqlashni so‘rang. Har bir element o‘zgarishsiz nusxalangan deb hisoblamay, manbalar qanday birlashtirilganini ko‘rib chiqing.</p><h4>Tasvirni olish va saqlash</h4><p>Ishlab chiqaruvchi standart holda vaqtinchalik tasvir manzilini qaytaradi va kodlangan tasvir chiqishini ham hujjatlashtiradi. Tasvir resurs sifatida kerak bo‘lsa, uning haqiqiy faylini tezda saqlang. Ixtiyoriy kechiktirilgan jarayon so‘rov qabul qilinganini tasdiqlash va uni yakunlashni ajratadi: so‘rov identifikatoridan so‘ng pending, done yoki failed holati keladi; kechiktirilgan natijalar manzil ko‘rinishida qaytarilib, hujjatlashtirilgan saqlash muddati 24 soatni tashkil etadi. Yuborilgan so‘rov yoki pending holati tayyor tasvir emas. Yakunlangan tasvirni keyin qayta ishlatish uchun topshiriq va tanlangan sozlamalar bilan birga saqlang.</p><p>Foydali yakuniy resurs — belgilangan sahna, maket yoki tahrir topshirig‘iga mos tasvir. Butun kompozitsiya va mayda detallarni, ayniqsa manba obyektini, obyekt chegaralari, nisbatlar va ma’no tashiydigan yozuvlarni tekshiring. Bosqichma-bosqich ishlashda ko‘rinib turgan muammoga tegishli ko‘rsatmani o‘zgartiring va tanlangan natijani keyingi namuna sifatida ishlating. Har bir natijani aniq ijodiy maqsadga ko‘ra baholash mumkin bo‘lishi uchun o‘zgartirish va saqlash ko‘rsatmalarini aniq yozing.</p>",
  "aboutText": "Grok Imagine Image 2.0 — xAI’ning tasvir yaratish va tahrirlash modeli. U yozma tavsifni yoki tavsif bilan birga manba tasvirlarni qabul qilib, tasvir ko‘rinishidagi natijani qaytaradi. Ishlab chiqaruvchining 2.0 nomli profili sahna yaratish, mavjud tasvirni o‘zgartirish, namunalardagi obyektlarni birlashtirish va vizual uslubni almashtirishni qamrab oladi. Avval yangi kompozitsiya kerakligini yoki sizda bor materialga aniq o‘zgartirish kiritish zarurligini belgilang.\n\n### Topshiriq asosida tasvir yaratish\n\nAsosiy obyektni, uning muhitini, kompozitsiyani, yoritishni va vizual yechimni tasvirlang. Tomoshabin birinchi navbatda nimaga e’tibor berishi va tasvir qayerda ishlatilishini ko‘rsating. Mahsulot konsepsiyasi uchun namunaviy topshiriqda och rangli tosh stol ustidagi sopol stol chirog‘i, derazadan tushadigan yumshoq yorug‘lik, materialning yaqindan ko‘rinishi va alohida sarlavha uchun bo‘sh joy tasvirlanishi mumkin. Illyustratsiyada esa butun sahnani bitta uslub so‘zi belgilaydi deb kutish o‘rniga, personajlar, harakat va kerakli estetikani aniq yozing.\n\nIshlab chiqaruvchi bitta yaratish so‘rovidan birdan o‘ntagacha tasvir olish mumkinligini ko‘rsatadi; standart qiymat — bitta. Bir topshiriqdan olingan bir nechta natija tanlash uchun variantlar beradi, ammo har bir variantda obyekt aynan bir xil bo‘lishini kafolatlamaydi. Obyekt, kompozitsiya va muhim detallarni tekshirib, topshiriqqa eng mos variantni saqlang. Keyingi tahrirlarda kerakli kompozitsiya ishlatilishi uchun topshiriq va tanlangan variantni birga saqlang.\n\n### Kompozitsiya, aniqlik va sifat\n\nYaratish qo‘llanmasida tomonlar nisbatini avtomatik tanlash yoki aniq nisbat belgilash bayon qilingan. Undagi variantlar: 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 2:1, 1:2, 19.5:9, 9:19.5, 20:9, 9:20, 21:9 va 5:2. Shaklni tasvir joylashtiriladigan maydonga mos tanlang: ixcham katak uchun kvadrat, vertikal kompozitsiya uchun portret, keng sahna uchun albom yo‘nalishi. Faqat tomonlar nisbatiga tayanmay, qirqilganda yo‘qolmasligi kerak bo‘lgan obyektni va maket uchun zarur bo‘sh joyni ko‘rsating.\n\nHujjatlarda yaratish aniqligi uchun 1k va 2k sozlamalari berilgan; standart qiymat — 1k. Sifat alohida boshqaruv bo‘lib, low, medium va auto variantlariga ega. xAI’ning joriy qo‘llanmasida auto standart qiymat bo‘lib, yaratishda low, tahrirlashda medium ishlatadi; low yoki medium aniq tanlansa, shu qiymat qat’iy qo‘llanadi. Demak, aniqlik va sifat turli sozlamalardir. Har qanday sozlamani yozuv, geometriya yoki obyektning aynan saqlanishiga kafolat deb qabul qilish o‘rniga, muhim vizual detallarni yozing va qaytgan tasvirda ularni tekshiring.\n\n### Tahrirlash va vizual uslubni ko‘chirish\n\nO‘zgartiriladigan tasvirni yuboring va kerakli o‘zgarishni unda ko‘rinib turgan mazmunga bog‘lab tavsiflang. Masalan, aniq tahrir topshirig‘i mebellar joylashuvi, kamera nuqtasi va iliq yoritishni saqlagan holda qorong‘i devorni och rangli suvoq yuzasiga almashtirishni so‘rashi mumkin. Uslubiy o‘zgartirish kerak bo‘lsa, kerakli ishlov turini belgilang: ishlab chiqaruvchi fotografiya, anime, moybo‘yoq, akvarel, pop-art va qalam eskizi uslublarini namoyish etadi. Qaysi elementlar tashqi ko‘rinishini saqlashi, qaysilari esa uslubga mos o‘zgarishi mumkinligini ko‘rsating.\n\nIshlab chiqaruvchining tahrirlash jarayoni manba tasvirga havola, kodlangan tasvir ma’lumotlari yoki fayl identifikatorini qabul qiladi. Saqlangan namunalarda to‘liq yuklangan PNG, JPEG yoki WebP tasvirlardan foydalaning. Qo‘llanmada ketma-ket tahrirlar ham bayon qilingan: bir tahrir natijasini keyingisiga kirish sifatida bering. Shu yo‘l bilan dastlabki kompozitsiyani avval mebelni o‘zgartirib, so‘ng yoritishni sozlab, aniqroq natijaga aylantirish mumkin. Keyingi takomillashtirishni kerakli kompozitsiya bilan solishtirish uchun asl tasvir va tanlangan oraliq tasvirni tegishli topshiriq bilan birga saqlang.\n\n### Bir nechta namunani birlashtirish\n\nJoriy ko‘p tasvirli qo‘llanmada bitta tahrirda beshtagacha manba tasvirdan foydalanishga ruxsat berilgan. Ularga yuborilgan tartibi bo‘yicha murojaat qiling va har biriga aniq vazifa bering, masalan, birinchi tasvirdan obyektni, ikkinchisidan muhitni olish. Natijaning tomonlar nisbati standart holda birinchi kirish tasviriga mos keladi; uni aniq nisbat ko‘rsatib almashtirish mumkin. Xonadagi mahsulot konsepsiyasida mahsulotning joylashuvi, o‘lchami va xona yuzalariga tegishini tasvirlang, so‘ng uni tanitadigan detallarni saqlashni so‘rang. Har bir element o‘zgarishsiz nusxalangan deb hisoblamay, manbalar qanday birlashtirilganini ko‘rib chiqing.\n\n### Tasvirni olish va saqlash\n\nIshlab chiqaruvchi standart holda vaqtinchalik tasvir manzilini qaytaradi va kodlangan tasvir chiqishini ham hujjatlashtiradi. Tasvir resurs sifatida kerak bo‘lsa, uning haqiqiy faylini tezda saqlang. Ixtiyoriy kechiktirilgan jarayon so‘rov qabul qilinganini tasdiqlash va uni yakunlashni ajratadi: so‘rov identifikatoridan so‘ng pending, done yoki failed holati keladi; kechiktirilgan natijalar manzil ko‘rinishida qaytarilib, hujjatlashtirilgan saqlash muddati 24 soatni tashkil etadi. Yuborilgan so‘rov yoki pending holati tayyor tasvir emas. Yakunlangan tasvirni keyin qayta ishlatish uchun topshiriq va tanlangan sozlamalar bilan birga saqlang.\n\nFoydali yakuniy resurs — belgilangan sahna, maket yoki tahrir topshirig‘iga mos tasvir. Butun kompozitsiya va mayda detallarni, ayniqsa manba obyektini, obyekt chegaralari, nisbatlar va ma’no tashiydigan yozuvlarni tekshiring. Bosqichma-bosqich ishlashda ko‘rinib turgan muammoga tegishli ko‘rsatmani o‘zgartiring va tanlangan natijani keyingi namuna sifatida ishlating. Har bir natijani aniq ijodiy maqsadga ko‘ra baholash mumkin bo‘lishi uchun o‘zgartirish va saqlash ko‘rsatmalarini aniq yozing.",
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      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">x</span><h2 id=\"sheet-title\">xAI: Grok Imagine Image 2.0</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Yopish\">×</button></div><div class=\"idline\"><span>xAI /</span><code>x-ai/grok-imagine-image-2.0</code><button type=\"button\" id=\"copy-id\">ID ni nusxalash</button></div><nav class=\"card-jump-nav\" aria-label=\"Model kartochkasi bo‘limlari\"><button type=\"button\" data-card-jump=\"overview\">Boshlash</button><button type=\"button\" data-card-jump=\"methods\">Kirish ma’lumotlari va usullar</button><button type=\"button\" data-card-jump=\"pricing\">Tariflar</button><button type=\"button\" data-card-jump=\"examples\">Namunalar</button><button type=\"button\" data-card-jump=\"results\">Natijalar</button><button type=\"button\" data-card-jump=\"aliases\">Taxalluslar</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"API usullari\"><button type=\"button\" role=\"tab\" tabindex=\"0\" aria-controls=\"card-method-content\" aria-selected=\"true\" id=\"card-method-tab-0\" data-card-method=\"Ultra|images|/v1/images/generations|x-ai%2Fgrok-imagine-image-2.0\">Rasmlar</button></div><div id=\"card-method-content\" role=\"tabpanel\" aria-labelledby=\"card-method-tab-0\"><section class=\"card-section\" data-card-section=\"overview\"><h3 tabindex=\"-1\">Boshlash</h3><p class=\"mdesc-full\">Grok Imagine Image 2.0 yozma topshiriqlar asosida tasvirlar yaratadi va mavjud tasvirlarni tabiiy tildagi ko‘rsatmalar orqali tahrirlaydi. xAI hujjatlarida sifat, aniqlik va kompozitsiyani sozlash, bir nechta tasvirdan namuna sifatida foydalanish, uslubni ko‘chirish va natijani bosqichma-bosqich takomillashtirish bayon qilingan.</p><dl class=\"card-io\" data-card-io><div><dt>Qabul qilinadigan kirish ma’lumotlari</dt><dd>Matn · Rasmlar</dd></div><div><dt>Natijalar</dt><dd>Rasmlar</dd></div></dl><details class=\"card-about\"><summary>Model haqida</summary><p class=\"note-s\" data-model-method-boundary>Bu tavsif model imkoniyatlarini yoritadi. Ailoot da tanlangan usul uchun mavjud kirish, chiqish va parametrlar quyida keltirilgan.</p><div class=\"mabout\" id=\"m-about\"><p>Grok Imagine Image 2.0 — xAI’ning tasvir yaratish va tahrirlash modeli. U yozma tavsifni yoki tavsif bilan birga manba tasvirlarni qabul qilib, tasvir ko‘rinishidagi natijani qaytaradi. Ishlab chiqaruvchining 2.0 nomli profili sahna yaratish, mavjud tasvirni o‘zgartirish, namunalardagi obyektlarni birlashtirish va vizual uslubni almashtirishni qamrab oladi. Avval yangi kompozitsiya kerakligini yoki sizda bor materialga aniq o‘zgartirish kiritish zarurligini belgilang.</p><h4>Topshiriq asosida tasvir yaratish</h4><p>Asosiy obyektni, uning muhitini, kompozitsiyani, yoritishni va vizual yechimni tasvirlang. Tomoshabin birinchi navbatda nimaga e’tibor berishi va tasvir qayerda ishlatilishini ko‘rsating. Mahsulot konsepsiyasi uchun namunaviy topshiriqda och rangli tosh stol ustidagi sopol stol chirog‘i, derazadan tushadigan yumshoq yorug‘lik, materialning yaqindan ko‘rinishi va alohida sarlavha uchun bo‘sh joy tasvirlanishi mumkin. Illyustratsiyada esa butun sahnani bitta uslub so‘zi belgilaydi deb kutish o‘rniga, personajlar, harakat va kerakli estetikani aniq yozing.</p><p>Ishlab chiqaruvchi bitta yaratish so‘rovidan birdan o‘ntagacha tasvir olish mumkinligini ko‘rsatadi; standart qiymat — bitta. Bir topshiriqdan olingan bir nechta natija tanlash uchun variantlar beradi, ammo har bir variantda obyekt aynan bir xil bo‘lishini kafolatlamaydi. Obyekt, kompozitsiya va muhim detallarni tekshirib, topshiriqqa eng mos variantni saqlang. Keyingi tahrirlarda kerakli kompozitsiya ishlatilishi uchun topshiriq va tanlangan variantni birga saqlang.</p><h4>Kompozitsiya, aniqlik va sifat</h4><p>Yaratish qo‘llanmasida tomonlar nisbatini avtomatik tanlash yoki aniq nisbat belgilash bayon qilingan. Undagi variantlar: 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 2:1, 1:2, 19.5:9, 9:19.5, 20:9, 9:20, 21:9 va 5:2. Shaklni tasvir joylashtiriladigan maydonga mos tanlang: ixcham katak uchun kvadrat, vertikal kompozitsiya uchun portret, keng sahna uchun albom yo‘nalishi. Faqat tomonlar nisbatiga tayanmay, qirqilganda yo‘qolmasligi kerak bo‘lgan obyektni va maket uchun zarur bo‘sh joyni ko‘rsating.</p><p>Hujjatlarda yaratish aniqligi uchun 1k va 2k sozlamalari berilgan; standart qiymat — 1k. Sifat alohida boshqaruv bo‘lib, low, medium va auto variantlariga ega. xAI’ning joriy qo‘llanmasida auto standart qiymat bo‘lib, yaratishda low, tahrirlashda medium ishlatadi; low yoki medium aniq tanlansa, shu qiymat qat’iy qo‘llanadi. Demak, aniqlik va sifat turli sozlamalardir. Har qanday sozlamani yozuv, geometriya yoki obyektning aynan saqlanishiga kafolat deb qabul qilish o‘rniga, muhim vizual detallarni yozing va qaytgan tasvirda ularni tekshiring.</p><h4>Tahrirlash va vizual uslubni ko‘chirish</h4><p>O‘zgartiriladigan tasvirni yuboring va kerakli o‘zgarishni unda ko‘rinib turgan mazmunga bog‘lab tavsiflang. Masalan, aniq tahrir topshirig‘i mebellar joylashuvi, kamera nuqtasi va iliq yoritishni saqlagan holda qorong‘i devorni och rangli suvoq yuzasiga almashtirishni so‘rashi mumkin. Uslubiy o‘zgartirish kerak bo‘lsa, kerakli ishlov turini belgilang: ishlab chiqaruvchi fotografiya, anime, moybo‘yoq, akvarel, pop-art va qalam eskizi uslublarini namoyish etadi. Qaysi elementlar tashqi ko‘rinishini saqlashi, qaysilari esa uslubga mos o‘zgarishi mumkinligini ko‘rsating.</p><p>Ishlab chiqaruvchining tahrirlash jarayoni manba tasvirga havola, kodlangan tasvir ma’lumotlari yoki fayl identifikatorini qabul qiladi. Saqlangan namunalarda to‘liq yuklangan PNG, JPEG yoki WebP tasvirlardan foydalaning. Qo‘llanmada ketma-ket tahrirlar ham bayon qilingan: bir tahrir natijasini keyingisiga kirish sifatida bering. Shu yo‘l bilan dastlabki kompozitsiyani avval mebelni o‘zgartirib, so‘ng yoritishni sozlab, aniqroq natijaga aylantirish mumkin. Keyingi takomillashtirishni kerakli kompozitsiya bilan solishtirish uchun asl tasvir va tanlangan oraliq tasvirni tegishli topshiriq bilan birga saqlang.</p><h4>Bir nechta namunani birlashtirish</h4><p>Joriy ko‘p tasvirli qo‘llanmada bitta tahrirda beshtagacha manba tasvirdan foydalanishga ruxsat berilgan. Ularga yuborilgan tartibi bo‘yicha murojaat qiling va har biriga aniq vazifa bering, masalan, birinchi tasvirdan obyektni, ikkinchisidan muhitni olish. Natijaning tomonlar nisbati standart holda birinchi kirish tasviriga mos keladi; uni aniq nisbat ko‘rsatib almashtirish mumkin. Xonadagi mahsulot konsepsiyasida mahsulotning joylashuvi, o‘lchami va xona yuzalariga tegishini tasvirlang, so‘ng uni tanitadigan detallarni saqlashni so‘rang. Har bir element o‘zgarishsiz nusxalangan deb hisoblamay, manbalar qanday birlashtirilganini ko‘rib chiqing.</p><h4>Tasvirni olish va saqlash</h4><p>Ishlab chiqaruvchi standart holda vaqtinchalik tasvir manzilini qaytaradi va kodlangan tasvir chiqishini ham hujjatlashtiradi. Tasvir resurs sifatida kerak bo‘lsa, uning haqiqiy faylini tezda saqlang. Ixtiyoriy kechiktirilgan jarayon so‘rov qabul qilinganini tasdiqlash va uni yakunlashni ajratadi: so‘rov identifikatoridan so‘ng pending, done yoki failed holati keladi; kechiktirilgan natijalar manzil ko‘rinishida qaytarilib, hujjatlashtirilgan saqlash muddati 24 soatni tashkil etadi. Yuborilgan so‘rov yoki pending holati tayyor tasvir emas. Yakunlangan tasvirni keyin qayta ishlatish uchun topshiriq va tanlangan sozlamalar bilan birga saqlang.</p><p>Foydali yakuniy resurs — belgilangan sahna, maket yoki tahrir topshirig‘iga mos tasvir. Butun kompozitsiya va mayda detallarni, ayniqsa manba obyektini, obyekt chegaralari, nisbatlar va ma’no tashiydigan yozuvlarni tekshiring. Bosqichma-bosqich ishlashda ko‘rinib turgan muammoga tegishli ko‘rsatmani o‘zgartiring va tanlangan natijani keyingi namuna sifatida ishlating. Har bir natijani aniq ijodiy maqsadga ko‘ra baholash mumkin bo‘lishi uchun o‘zgartirish va saqlash ko‘rsatmalarini aniq yozing.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Ailoot da mavjud · kirish ma’lumotlari va usullar</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · Rasmlar</b> <code>POST /v1/images/generations</code></summary><dl class=\"method-capabilities\"><div><dt>Kirish</dt><dd><code>text</code>, <code>image</code></dd></div><div><dt>Chiqish</dt><dd><code>image</code></dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>Maydon</th><th>Tur</th><th>Talab</th><th>Qiymatlar va cheklovlar</th><th>Standart</th></tr></thead><tbody><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>string</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Majburiy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>x-ai/grok-imagine-image-2.0</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">prompt</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>string</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Majburiy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>Eng kam uzunlik: 1</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">resolution</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>string</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>1K, 2K</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">aspect_ratio</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>string</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>1:1, 3:4, 4:3, 9:16, 16:9, 2:3, 3:2, 9:19.5, 19.5:9, 9:20, 20:9, 1:2, 2:1, auto</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">quality</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>string</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>low, medium</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">n</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>integer</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>Eng kam: 1</div><div>Eng ko‘p: 1</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">input_references</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>array</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>Elementlarning eng kam soni: 0</div><div>Elementlarning eng ko‘p soni: 3</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">provider</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>object</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr></tbody></table></div><details class=\"note-s\" data-method-contract><summary>Usul parametrlari va hayot sikli</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>Parametr</th><th>Parametr talablari</th></tr></thead><tbody><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>content_type</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>application/json</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>required</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>model, prompt</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>material_types</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>text, image</td></tr></tbody></table></div><p>Hayot sikli: <code>synchronous_result_then_owned_library</code></p><p class=\"note-s\"><code>GET /v1/media/tasks/{task_id}</code> · Amalda qaytarilgan task_id yoki media kutubxonasidagi yozuv</p><p class=\"note-s\"><code>GET /v1/media/assets/{asset_id}/content</code></p><p class=\"note-s\"><code>GET /v1/media/assets</code></p><p class=\"note-s\"><code>GET /v1/media/assets/{asset_id}</code></p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">Tariflar</h3><div class=\"card-result-process\" data-billing-basis><h5>Yakuniy to‘lov qanday hisoblanadi</h5><p class=\"note-s\">Ko‘rsatilgan tariflar xarajatni generatsiyadan oldin taxminiy hisoblash uchun xizmat qiladi. Yakuniy to‘lov dastlabki generatsiya uchun qayd etilgan xarajat asosida hisoblanadi. Natijaning o‘lchangan davomiyligi va oldindan taxmin qilingan miqdorlar haq undiriladigan yakuniy miqdor hisoblanmaydi.</p></div><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>Tarif ma’lumotlari so‘rov imkoniyatlarini qo‘shmaydi. Qo‘llab-quvvatlanadigan parametrlar tanlangan usulda ko‘rsatilgan.</p><dl data-price-conditions><dt>Tezkor rejim</dt><dd>Ko‘rsatilmagan <span class=\"note-s\">Tezkor rejim tanlanganda</span></dd><dt>Flex rejimi</dt><dd>Ko‘rsatilmagan <span class=\"note-s\">flex rejimi tanlanganda</span></dd><dt>Maksimal fikrlash darajasi</dt><dd>Ko‘rsatilmagan <span class=\"note-s\">Maksimal fikrlash darajasi uchun standart (default) tuzatish qo‘llanganda</span></dd></dl></div><div data-declared-tariff-pricing><h4>Taqqoslash uchun taxminiy tariflar</h4><h4>Sozlamalar bo‘yicha narxlar</h4><p class=\"note-s\">Har bir to‘lovni ko‘rsatilgan shartlarga moslang. Har bir muqobil sozlamalar to‘plami uchun bitta tarifdan foydalaning.</p><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Sozlama</th><th>Tariflar jadvali</th><th>Prognoz miqdori</th><th>Hisob birligi</th><th>To‘lov</th></tr></thead><tbody><tr><th data-cell-label=\"Sozlama\" scope=\"row\"><span class=\"card-cell-label\">Sozlama</span>Tokenlar uchun bazaviy tariflar</th><td data-cell-label=\"Tariflar jadvali\"><span class=\"card-cell-label\">Tariflar jadvali</span>Asosiy tarif</td><td data-cell-label=\"Prognoz miqdori\"><span class=\"card-cell-label\">Prognoz miqdori</span>—</td><td data-cell-label=\"Hisob birligi\"><span class=\"card-cell-label\">Hisob birligi</span>—</td><td data-cell-label=\"To‘lov\"><span class=\"card-cell-label\">To‘lov</span><div><span>Kirish · Kirish tokenlari · Faqat taqqoslash uchun taxmin</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Chiqish · Chiqish tokenlari · Faqat taqqoslash uchun taxmin</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshdan o‘qish · Faqat taqqoslash uchun taxmin</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshga yozish · Faqat taqqoslash uchun taxmin</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshga yozish, 1 soat · Faqat taqqoslash uchun taxmin</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div></td></tr><tr><th data-cell-label=\"Sozlama\" scope=\"row\"><span class=\"card-cell-label\">Sozlama</span>kirish rasmi</th><td data-cell-label=\"Tariflar jadvali\"><span class=\"card-cell-label\">Tariflar jadvali</span>—</td><td data-cell-label=\"Prognoz miqdori\"><span class=\"card-cell-label\">Prognoz miqdori</span>—</td><td data-cell-label=\"Hisob birligi\"><span class=\"card-cell-label\">Hisob birligi</span>kirish rasmi uchun</td><td data-cell-label=\"To‘lov\"><span class=\"card-cell-label\">To‘lov</span><div><span>Kirish · kirish rasmi · Faqat taqqoslash uchun taxmin</span> <b>$0.02</b> <span class=\"price-unit\">kirish rasmi uchun</span></div></td></tr><tr><th data-cell-label=\"Sozlama\" scope=\"row\"><span class=\"card-cell-label\">Sozlama</span>Yaratishning taxminiy qiymati</th><td data-cell-label=\"Tariflar jadvali\"><span class=\"card-cell-label\">Tariflar jadvali</span>—</td><td data-cell-label=\"Prognoz miqdori\"><span class=\"card-cell-label\">Prognoz miqdori</span>bir generatsiya uchun taxmin</td><td data-cell-label=\"Hisob birligi\"><span class=\"card-cell-label\">Hisob birligi</span>—</td><td data-cell-label=\"To‘lov\"><span class=\"card-cell-label\">To‘lov</span><div><span>Chiqish · Yaratishning taxminiy narxi · Faqat taqqoslash uchun taxmin</span> <b>$0.08</b> <span class=\"price-unit\">yaratishdan oldingi taxmin</span></div><p class=\"note-s\">Bu taxmin qo‘shimcha to‘lov ham, tugallangan generatsiya uchun qat’iy tarif ham emas.</p></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot so‘rovdan oldin taxminiy summani band qiladi. Natijadan keyin o‘lchangan sarf asosidagi yakuniy to‘lovni yechadi. Oqimli javob bo‘yicha yakuniy hisob-kitob yakuniy sarf yozuviga asoslanadi. <a href=\"/docs/uz/billing/reserve/\">Summani band qilish va to‘lovni hisoblash tartibi →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">So‘rov namunalari</h3><h4>Ailoot Ultra · Rasmlar</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Kod variantlari\"><button class=\"cg-tab\" id=\"model-code-2716-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2716-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Kodni nusxalash\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-2716-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-2716-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\nexport AILOOT_API_KEY\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json,os\nfrom pathlib import Path\np={&#39;model&#39;: &#39;x-ai/grok-imagine-image-2.0&#39;, &#39;prompt&#39;: &#39;a red panda astronaut floating in space, studio lighting&#39;}\n\nPath(&quot;request.json&quot;).write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/images/generations \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -H &#39;Content-Type: application/json&#39; \\\n  --data-binary @request.json -D response-headers.txt -o result.json\npython3 - &lt;&lt;&#39;PY_RESULT&#39;\nimport base64, json, os, subprocess\nfrom pathlib import Path\nfrom urllib.parse import urlsplit, urljoin\n\ndef save_images(items):\n    if not items: raise SystemExit(&quot;No completed images; retain the full response&quot;)\n    for index, item in enumerate(items):\n        encoded=item.get(&quot;b64_json&quot;)\n        uri=item.get(&quot;url&quot;, &quot;&quot;)\n        if not encoded and uri.startswith(&quot;data:image/&quot;):\n            header, separator, encoded=uri.partition(&quot;,&quot;)\n            if not separator or &quot;;base64&quot; not in header: raise SystemExit(&quot;Unsupported image data URI&quot;)\n        if encoded:\n            raw=base64.b64decode(encoded,validate=True)\n        elif uri:\n            uri=urljoin(&quot;https://api.ailoot.ai&quot;,uri)\n            parsed=urlsplit(uri)\n            if parsed.scheme!=&quot;https&quot; or not parsed.netloc or parsed.username or parsed.password:\n                raise SystemExit(&quot;Invalid returned image URL&quot;)\n            owned=parsed.netloc==&quot;api.ailoot.ai&quot; and parsed.path.startswith(&quot;/v1/media/assets/&quot;) and parsed.path.endswith(&quot;/content&quot;)\n            args=[&quot;curl&quot;,&quot;--fail-with-body&quot;,&quot;--silent&quot;,&quot;--show-error&quot;,uri]\n            if owned: args += [&quot;-H&quot;,&quot;Authorization: Bearer &quot;+os.environ[&quot;AILOOT_API_KEY&quot;]]\n            temporary=Path(f&quot;image-{index}.bin&quot;)\n            subprocess.run(args+[&quot;-o&quot;,str(temporary)],check=True)\n            raw=temporary.read_bytes()\n            temporary.unlink()\n        else: raise SystemExit(&quot;Image has neither bytes nor URL&quot;)\n        if not raw: raise SystemExit(&quot;Empty image result&quot;)\n        ext=&quot;png&quot; if raw.startswith(b&quot;\\x89PNG&quot;) else &quot;jpg&quot; if raw.startswith(b&quot;\\xff\\xd8&quot;) else &quot;webp&quot; if raw[:4]==b&quot;RIFF&quot; and raw[8:12]==b&quot;WEBP&quot; else &quot;svg&quot; if raw.lstrip().startswith((b&quot;&lt;svg&quot;,b&quot;&lt;?xml&quot;)) else &quot;bin&quot;\n        Path(f&quot;image-{index}.{ext}&quot;).write_bytes(raw)\n    print(&quot;Every returned image saved; complete response metadata retained&quot;)\nsave_images(json.loads(Path(&quot;result.json&quot;).read_text())[&quot;data&quot;])\nPY_RESULT\n</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">Natijalarni olish va saqlash</h3><h4>Ailoot Ultra · Rasmlar</h4><p class=\"note-s\">Har bir qaytarilgan rasmni yuklab oling yoki uning Base64 kontentini saqlang</p><ul class=\"card-result-paths\"><li><code>GET /v1/media/tasks/{task_id}</code></li><li><code>GET /v1/media/assets/{asset_id}/content</code></li><li><code>GET /v1/media/assets</code></li><li><code>GET /v1/media/assets/{asset_id}</code></li></ul><details class=\"card-about\"><summary>Boshqa kontentni o‘qish</summary><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Kod variantlari\"><button class=\"cg-tab\" id=\"model-code-2717-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2717-panel-0\" aria-selected=\"true\" tabindex=\"0\">O‘zingizga tegishli mavjud materiallarni o‘qish</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Kodni nusxalash\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-2717-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-2717-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -o owned-assets.json\n# Preserve every returned asset and follow its exact signed content URL. Do not construct a signed token.\n</code></pre></div></div></div></details><div class=\"card-result-process\" data-all-results><h5>Barcha tayyor natijalarni saqlash</h5><p class=\"note-s\">Har bir tayyor rasmni saqlang; har bir qaytarilgan URL dan kontentni oling yoki uning Base64 kontentini dekodlang.</p><p class=\"note-s\">To‘liq javob va sarlavhalarni, amalda qaytarilgan barcha natijalarni, dastlab qaytarilgan identifikatorlarni hamda barcha usage maydonlarini saqlang. Yaratish so‘rovini qayta yubormasdan dastlabki operatsiyani tiklang.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>Asl javobni tekshirish kerak bo‘lsa</h5><p class=\"note-s\">Qaytarilgan X-Client-Request-ID ni ma’lumotlarni solishtirib tekshirish uchun saqlang. Faqat amalda qaytarilgan task_id/asset_id qiymatlari bo‘yicha yoki o‘zingizga tegishli media kutubxonasidan ma’lumot o‘qing; operatsiya ID sidan vazifa URL manzilini hech qachon tuzmang va yaratish so‘rovini qayta yubormang.</p></div><details class=\"card-about\" data-output-fields><summary>Javob maydonlari</summary><div class=\"tw\" data-card-table=\"output\"><table><thead><tr><th>Maydon</th><th>Tur</th></tr></thead><tbody><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">created</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span></td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">data[].url</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span></td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">data[].b64_json</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span></td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">usage</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span></td></tr></tbody></table></div></details></section><section class=\"card-section\" data-card-section=\"aliases\"><h3 tabindex=\"-1\">Taxalluslar</h3><h4>Model taxalluslari</h4><p class=\"note-s\"><span data-model-alias-route=\"Ultra\"><b>Ailoot Ultra</b> <a href=\"#m=x-ai%2Fgrok-imagine-image-2.0&amp;route=Ultra&amp;caller=x-ai%2Fgrok-imagine-image-2.0&amp;fmt=images\"><code>x-ai/grok-imagine-image-2.0</code></a></span></p><h4>Usul yo‘llari taxalluslari</h4><p class=\"note-s\"><code>/v1/images</code></p><h4>Chaqirish uchun tegishli ID lar</h4><p class=\"note-s\"><a href=\"#m=x-ai%2Fgrok-imagine-image-2.0&amp;route=Ultra&amp;caller=x-ai%2Fgrok-imagine-image-2.0&amp;fmt=images\"><code>x-ai/grok-imagine-image-2.0</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "x-ai/grok-imagine-image-2.0",
        "fmt": "images",
        "http": "POST",
        "path": "/v1/images/generations",
        "request_model_id": "x-ai/grok-imagine-image-2.0",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|images|/v1/images/generations|x-ai%2Fgrok-imagine-image-2.0",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "billing_basis": {
          "basis": "original_invoice_usd",
          "description": "Ko‘rsatilgan tariflar xarajatni generatsiyadan oldin taxminiy hisoblash uchun xizmat qiladi. Yakuniy to‘lov dastlabki generatsiya uchun qayd etilgan xarajat asosida hisoblanadi. Natijaning o‘lchangan davomiyligi va oldindan taxmin qilingan miqdorlar haq undiriladigan yakuniy miqdor hisoblanmaydi.",
          "forecast_quantity_is_estimate": true,
          "physical_output_is_billable_quantity": false,
          "version": "original_invoice_usd_v1"
        },
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.",
            "lifecycle": {
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets"
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "content": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}/content",
                  "url_source": "exact returned signed URL; never construct token"
                }
              ],
              "mode": "synchronous_result_then_owned_library",
              "operation_id_is_not_task_id": true,
              "status": [
                {
                  "http": "GET",
                  "id_source": "actual returned task_id or media library record",
                  "path": "/v1/media/tasks/{task_id}"
                }
              ],
              "unknown": "Qaytarilgan X-Client-Request-ID ni ma’lumotlarni solishtirib tekshirish uchun saqlang. Faqat amalda qaytarilgan task_id/asset_id qiymatlari bo‘yicha yoki o‘zingizga tegishli media kutubxonasidan ma’lumot o‘qing; operatsiya ID sidan vazifa URL manzilini hech qachon tuzmang va yaratish so‘rovini qayta yubormang."
            },
            "outputs": {
              "all_results": "To‘liq javob va sarlavhalarni, amalda qaytarilgan barcha natijalarni, dastlab qaytarilgan identifikatorlarni hamda barcha usage maydonlarini saqlang. Yaratish so‘rovini qayta yubormasdan dastlabki operatsiyani tiklang.",
              "family": "image",
              "fields": [
                {
                  "description": null,
                  "name": "created",
                  "type": null
                },
                {
                  "description": null,
                  "name": "data[].url",
                  "type": null
                },
                {
                  "description": null,
                  "name": "data[].b64_json",
                  "type": null
                },
                {
                  "description": null,
                  "name": "usage",
                  "type": null
                }
              ]
            },
            "parameters": [
              {
                "enum": [
                  "x-ai/grok-imagine-image-2.0"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "min_length": 1,
                "name": "prompt",
                "required": true,
                "type": "string"
              },
              {
                "enum": [
                  "1K",
                  "2K"
                ],
                "enum_known": true,
                "name": "resolution",
                "required": false,
                "type": "string"
              },
              {
                "enum": [
                  "1:1",
                  "3:4",
                  "4:3",
                  "9:16",
                  "16:9",
                  "2:3",
                  "3:2",
                  "9:19.5",
                  "19.5:9",
                  "9:20",
                  "20:9",
                  "1:2",
                  "2:1",
                  "auto"
                ],
                "enum_known": true,
                "name": "aspect_ratio",
                "required": false,
                "type": "string"
              },
              {
                "enum": [
                  "low",
                  "medium"
                ],
                "enum_known": true,
                "name": "quality",
                "required": false,
                "type": "string"
              },
              {
                "maximum": 1,
                "minimum": 1,
                "name": "n",
                "required": false,
                "type": "integer"
              },
              {
                "items": {
                  "properties": {
                    "image_url": {
                      "properties": {
                        "url": {
                          "type": "string"
                        }
                      },
                      "required": [
                        "url"
                      ],
                      "type": "object"
                    },
                    "type": {
                      "const": "image_url"
                    }
                  },
                  "required": [
                    "type",
                    "image_url"
                  ],
                  "type": "object"
                },
                "maximum_items": 3,
                "minimum_items": 0,
                "name": "input_references",
                "required": false,
                "type": "array"
              },
              {
                "name": "provider",
                "required": false,
                "type": "object"
              }
            ],
            "request_schema": {
              "properties": {
                "aspect_ratio": {
                  "enum": [
                    "1:1",
                    "3:4",
                    "4:3",
                    "9:16",
                    "16:9",
                    "2:3",
                    "3:2",
                    "9:19.5",
                    "19.5:9",
                    "9:20",
                    "20:9",
                    "1:2",
                    "2:1",
                    "auto"
                  ],
                  "type": "string"
                },
                "input_references": {
                  "items": {
                    "properties": {
                      "image_url": {
                        "properties": {
                          "url": {
                            "type": "string"
                          }
                        },
                        "required": [
                          "url"
                        ],
                        "type": "object"
                      },
                      "type": {
                        "const": "image_url"
                      }
                    },
                    "required": [
                      "type",
                      "image_url"
                    ],
                    "type": "object"
                  },
                  "maxItems": 3,
                  "minItems": 0,
                  "type": "array"
                },
                "model": {
                  "enum": [
                    "x-ai/grok-imagine-image-2.0"
                  ],
                  "type": "string"
                },
                "n": {
                  "maximum": 1,
                  "minimum": 1,
                  "type": "integer"
                },
                "prompt": {
                  "minLength": 1,
                  "type": "string"
                },
                "provider": {
                  "description": "Exact image provider preferences from the documented image request schema.",
                  "type": "object"
                },
                "quality": {
                  "enum": [
                    "low",
                    "medium"
                  ],
                  "type": "string"
                },
                "resolution": {
                  "enum": [
                    "1K",
                    "2K"
                  ],
                  "type": "string"
                }
              },
              "required": [
                "model",
                "prompt"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": false,
              "body": {
                "model": "x-ai/grok-imagine-image-2.0",
                "prompt": "a red panda astronaut floating in space, studio lighting"
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "content_type": "application/json",
            "material_types": [
              "text",
              "image"
            ],
            "required": [
              "model",
              "prompt"
            ]
          },
          "lifecycle": {
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets"
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "content": [
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "exact returned signed URL; never construct token"
              }
            ],
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "status": [
              {
                "http": "GET",
                "id_source": "Amalda qaytarilgan task_id yoki media kutubxonasidagi yozuv",
                "path": "/v1/media/tasks/{task_id}"
              }
            ],
            "unknown": "Keep the returned X-Client-Request-ID for reconciliation. Read only actual returned task_id/asset_id values or the owned media library; never build a task URL from the operation ID and never resubmit creation."
          },
          "method": {
            "http": "POST",
            "path": "/v1/images/generations"
          },
          "output": {
            "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.",
            "family": "image",
            "fields": [
              {
                "description": null,
                "name": "created",
                "type": null
              },
              {
                "description": null,
                "name": "data[].url",
                "type": null
              },
              {
                "description": null,
                "name": "data[].b64_json",
                "type": null
              },
              {
                "description": null,
                "name": "usage",
                "type": null
              }
            ]
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per input image"
            },
            "label": "input image",
            "units": [
              {
                "amount": "0.02",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "image_input",
                "label": "input image",
                "native_amount_usd_per_unit": "0.02",
                "native_quantity": 1,
                "public_unit_label": "per input image",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "image_input"
              }
            ]
          },
          {
            "basis": "Bu taxmin qo‘shimcha to‘lov ham, tugallangan generatsiya uchun qat’iy tarif ham emas.",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "Yaratishning taxminiy qiymati",
            "units": [
              {
                "amount": "0.08",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.08",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np={'model': 'x-ai/grok-imagine-image-2.0', 'prompt': 'a red panda astronaut floating in space, studio lighting'}\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/images/generations \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\npython3 - <<'PY_RESULT'\nimport base64, json, os, subprocess\nfrom pathlib import Path\nfrom urllib.parse import urlsplit, urljoin\n\ndef save_images(items):\n    if not items: raise SystemExit(\"No completed images; retain the full response\")\n    for index, item in enumerate(items):\n        encoded=item.get(\"b64_json\")\n        uri=item.get(\"url\", \"\")\n        if not encoded and uri.startswith(\"data:image/\"):\n            header, separator, encoded=uri.partition(\",\")\n            if not separator or \";base64\" not in header: raise SystemExit(\"Unsupported image data URI\")\n        if encoded:\n            raw=base64.b64decode(encoded,validate=True)\n        elif uri:\n            uri=urljoin(\"https://api.ailoot.ai\",uri)\n            parsed=urlsplit(uri)\n            if parsed.scheme!=\"https\" or not parsed.netloc or parsed.username or parsed.password:\n                raise SystemExit(\"Invalid returned image URL\")\n            owned=parsed.netloc==\"api.ailoot.ai\" and parsed.path.startswith(\"/v1/media/assets/\") and parsed.path.endswith(\"/content\")\n            args=[\"curl\",\"--fail-with-body\",\"--silent\",\"--show-error\",uri]\n            if owned: args += [\"-H\",\"Authorization: Bearer \"+os.environ[\"AILOOT_API_KEY\"]]\n            temporary=Path(f\"image-{index}.bin\")\n            subprocess.run(args+[\"-o\",str(temporary)],check=True)\n            raw=temporary.read_bytes()\n            temporary.unlink()\n        else: raise SystemExit(\"Image has neither bytes nor URL\")\n        if not raw: raise SystemExit(\"Empty image result\")\n        ext=\"png\" if raw.startswith(b\"\\x89PNG\") else \"jpg\" if raw.startswith(b\"\\xff\\xd8\") else \"webp\" if raw[:4]==b\"RIFF\" and raw[8:12]==b\"WEBP\" else \"svg\" if raw.lstrip().startswith((b\"<svg\",b\"<?xml\")) else \"bin\"\n        Path(f\"image-{index}.{ext}\").write_bytes(raw)\n    print(\"Every returned image saved; complete response metadata retained\")\nsave_images(json.loads(Path(\"result.json\").read_text())[\"data\"])\nPY_RESULT\n",
            "label": "curl · exact creation/save all outputs",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o owned-assets.json\n# Preserve every returned asset and follow its exact signed content URL. Do not construct a signed token.\n",
            "label": "Read existing owned assets",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "images",
        "hints": [
          "Use the exact caller model ID and documented input representation.",
          "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again."
        ],
        "http": "POST",
        "in": null,
        "input": [
          "text",
          "image"
        ],
        "label": "Rasmlar",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [
          "/v1/images"
        ],
        "native_endpoint": "images",
        "out": null,
        "output": [
          "image"
        ],
        "path": "/v1/images/generations",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "pricing": {
          "billing_mode": "original_invoice_usd",
          "image_input_price": null,
          "image_output_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
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  "page": {
    "canonical": "https://ailoot.ai/models/uz/x-ai-grok-imagine-image-2-0/",
    "description": "Grok Imagine Image 2.0 yozma topshiriqlar asosida tasvirlar yaratadi va mavjud tasvirlarni tabiiy tildagi ko‘rsatmalar orqali tahrirlaydi. xAI hujjatlarida sifat, aniqlik va kompozitsiyani sozlash, bir nechta tasvirdan namuna sifatida foydalanish, uslubni ko‘chirish va natijani bosqichma-bosqich takomillashtirish bayon qilingan.",
    "locale": "uz",
    "md_url": "https://ailoot.ai/models/uz/x-ai-grok-imagine-image-2-0/index.md",
    "title": "xAI: Grok Imagine Image 2.0 — Ailoot",
    "url": "https://ailoot.ai/models/uz/x-ai-grok-imagine-image-2-0/"
  },
  "rawModel": {
    "about": "Grok Imagine Image 2.0 — xAI’ning tasvir yaratish va tahrirlash modeli. U yozma tavsifni yoki tavsif bilan birga manba tasvirlarni qabul qilib, tasvir ko‘rinishidagi natijani qaytaradi. Ishlab chiqaruvchining 2.0 nomli profili sahna yaratish, mavjud tasvirni o‘zgartirish, namunalardagi obyektlarni birlashtirish va vizual uslubni almashtirishni qamrab oladi. Avval yangi kompozitsiya kerakligini yoki sizda bor materialga aniq o‘zgartirish kiritish zarurligini belgilang.\n\n### Topshiriq asosida tasvir yaratish\n\nAsosiy obyektni, uning muhitini, kompozitsiyani, yoritishni va vizual yechimni tasvirlang. Tomoshabin birinchi navbatda nimaga e’tibor berishi va tasvir qayerda ishlatilishini ko‘rsating. Mahsulot konsepsiyasi uchun namunaviy topshiriqda och rangli tosh stol ustidagi sopol stol chirog‘i, derazadan tushadigan yumshoq yorug‘lik, materialning yaqindan ko‘rinishi va alohida sarlavha uchun bo‘sh joy tasvirlanishi mumkin. Illyustratsiyada esa butun sahnani bitta uslub so‘zi belgilaydi deb kutish o‘rniga, personajlar, harakat va kerakli estetikani aniq yozing.\n\nIshlab chiqaruvchi bitta yaratish so‘rovidan birdan o‘ntagacha tasvir olish mumkinligini ko‘rsatadi; standart qiymat — bitta. Bir topshiriqdan olingan bir nechta natija tanlash uchun variantlar beradi, ammo har bir variantda obyekt aynan bir xil bo‘lishini kafolatlamaydi. Obyekt, kompozitsiya va muhim detallarni tekshirib, topshiriqqa eng mos variantni saqlang. Keyingi tahrirlarda kerakli kompozitsiya ishlatilishi uchun topshiriq va tanlangan variantni birga saqlang.\n\n### Kompozitsiya, aniqlik va sifat\n\nYaratish qo‘llanmasida tomonlar nisbatini avtomatik tanlash yoki aniq nisbat belgilash bayon qilingan. Undagi variantlar: 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 2:1, 1:2, 19.5:9, 9:19.5, 20:9, 9:20, 21:9 va 5:2. Shaklni tasvir joylashtiriladigan maydonga mos tanlang: ixcham katak uchun kvadrat, vertikal kompozitsiya uchun portret, keng sahna uchun albom yo‘nalishi. Faqat tomonlar nisbatiga tayanmay, qirqilganda yo‘qolmasligi kerak bo‘lgan obyektni va maket uchun zarur bo‘sh joyni ko‘rsating.\n\nHujjatlarda yaratish aniqligi uchun 1k va 2k sozlamalari berilgan; standart qiymat — 1k. Sifat alohida boshqaruv bo‘lib, low, medium va auto variantlariga ega. xAI’ning joriy qo‘llanmasida auto standart qiymat bo‘lib, yaratishda low, tahrirlashda medium ishlatadi; low yoki medium aniq tanlansa, shu qiymat qat’iy qo‘llanadi. Demak, aniqlik va sifat turli sozlamalardir. Har qanday sozlamani yozuv, geometriya yoki obyektning aynan saqlanishiga kafolat deb qabul qilish o‘rniga, muhim vizual detallarni yozing va qaytgan tasvirda ularni tekshiring.\n\n### Tahrirlash va vizual uslubni ko‘chirish\n\nO‘zgartiriladigan tasvirni yuboring va kerakli o‘zgarishni unda ko‘rinib turgan mazmunga bog‘lab tavsiflang. Masalan, aniq tahrir topshirig‘i mebellar joylashuvi, kamera nuqtasi va iliq yoritishni saqlagan holda qorong‘i devorni och rangli suvoq yuzasiga almashtirishni so‘rashi mumkin. Uslubiy o‘zgartirish kerak bo‘lsa, kerakli ishlov turini belgilang: ishlab chiqaruvchi fotografiya, anime, moybo‘yoq, akvarel, pop-art va qalam eskizi uslublarini namoyish etadi. Qaysi elementlar tashqi ko‘rinishini saqlashi, qaysilari esa uslubga mos o‘zgarishi mumkinligini ko‘rsating.\n\nIshlab chiqaruvchining tahrirlash jarayoni manba tasvirga havola, kodlangan tasvir ma’lumotlari yoki fayl identifikatorini qabul qiladi. Saqlangan namunalarda to‘liq yuklangan PNG, JPEG yoki WebP tasvirlardan foydalaning. Qo‘llanmada ketma-ket tahrirlar ham bayon qilingan: bir tahrir natijasini keyingisiga kirish sifatida bering. Shu yo‘l bilan dastlabki kompozitsiyani avval mebelni o‘zgartirib, so‘ng yoritishni sozlab, aniqroq natijaga aylantirish mumkin. Keyingi takomillashtirishni kerakli kompozitsiya bilan solishtirish uchun asl tasvir va tanlangan oraliq tasvirni tegishli topshiriq bilan birga saqlang.\n\n### Bir nechta namunani birlashtirish\n\nJoriy ko‘p tasvirli qo‘llanmada bitta tahrirda beshtagacha manba tasvirdan foydalanishga ruxsat berilgan. Ularga yuborilgan tartibi bo‘yicha murojaat qiling va har biriga aniq vazifa bering, masalan, birinchi tasvirdan obyektni, ikkinchisidan muhitni olish. Natijaning tomonlar nisbati standart holda birinchi kirish tasviriga mos keladi; uni aniq nisbat ko‘rsatib almashtirish mumkin. Xonadagi mahsulot konsepsiyasida mahsulotning joylashuvi, o‘lchami va xona yuzalariga tegishini tasvirlang, so‘ng uni tanitadigan detallarni saqlashni so‘rang. Har bir element o‘zgarishsiz nusxalangan deb hisoblamay, manbalar qanday birlashtirilganini ko‘rib chiqing.\n\n### Tasvirni olish va saqlash\n\nIshlab chiqaruvchi standart holda vaqtinchalik tasvir manzilini qaytaradi va kodlangan tasvir chiqishini ham hujjatlashtiradi. Tasvir resurs sifatida kerak bo‘lsa, uning haqiqiy faylini tezda saqlang. Ixtiyoriy kechiktirilgan jarayon so‘rov qabul qilinganini tasdiqlash va uni yakunlashni ajratadi: so‘rov identifikatoridan so‘ng pending, done yoki failed holati keladi; kechiktirilgan natijalar manzil ko‘rinishida qaytarilib, hujjatlashtirilgan saqlash muddati 24 soatni tashkil etadi. Yuborilgan so‘rov yoki pending holati tayyor tasvir emas. Yakunlangan tasvirni keyin qayta ishlatish uchun topshiriq va tanlangan sozlamalar bilan birga saqlang.\n\nFoydali yakuniy resurs — belgilangan sahna, maket yoki tahrir topshirig‘iga mos tasvir. Butun kompozitsiya va mayda detallarni, ayniqsa manba obyektini, obyekt chegaralari, nisbatlar va ma’no tashiydigan yozuvlarni tekshiring. Bosqichma-bosqich ishlashda ko‘rinib turgan muammoga tegishli ko‘rsatmani o‘zgartiring va tanlangan natijani keyingi namuna sifatida ishlating. Har bir natijani aniq ijodiy maqsadga ko‘ra baholash mumkin bo‘lishi uchun o‘zgartirish va saqlash ko‘rsatmalarini aniq yozing.",
    "alias_of": null,
    "aliases": [],
    "author": "xAI",
    "capabilities": {
      "context_length": 65536,
      "manufacturer_input": [
        "text",
        "image"
      ],
      "manufacturer_output": [
        "image"
      ]
    },
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0.08",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "forecast_usd",
            "label": "Estimated generation cost",
            "native_amount_usd_per_unit": "0.08",
            "native_quantity": 1,
            "public_unit_label": "estimate before generation",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "request_estimate"
          }
        ],
        "summary": "Konfiguratsiya narxlari tafsilotlarda to‘liq ko‘rsatilgan."
      }
    ],
    "ctx": null,
    "formats": [
      "images"
    ],
    "id": "x-ai/grok-imagine-image-2.0",
    "input": [
      "text",
      "image"
    ],
    "kind": "image",
    "max_out": null,
    "methods": [
      {
        "available": null,
        "billing_basis": {
          "basis": "original_invoice_usd",
          "description": "Ko‘rsatilgan tariflar xarajatni generatsiyadan oldin taxminiy hisoblash uchun xizmat qiladi. Yakuniy to‘lov dastlabki generatsiya uchun qayd etilgan xarajat asosida hisoblanadi. Natijaning o‘lchangan davomiyligi va oldindan taxmin qilingan miqdorlar haq undiriladigan yakuniy miqdor hisoblanmaydi.",
          "forecast_quantity_is_estimate": true,
          "physical_output_is_billable_quantity": false,
          "version": "original_invoice_usd_v1"
        },
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.",
            "lifecycle": {
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets"
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "content": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}/content",
                  "url_source": "exact returned signed URL; never construct token"
                }
              ],
              "mode": "synchronous_result_then_owned_library",
              "operation_id_is_not_task_id": true,
              "status": [
                {
                  "http": "GET",
                  "id_source": "actual returned task_id or media library record",
                  "path": "/v1/media/tasks/{task_id}"
                }
              ],
              "unknown": "Qaytarilgan X-Client-Request-ID ni ma’lumotlarni solishtirib tekshirish uchun saqlang. Faqat amalda qaytarilgan task_id/asset_id qiymatlari bo‘yicha yoki o‘zingizga tegishli media kutubxonasidan ma’lumot o‘qing; operatsiya ID sidan vazifa URL manzilini hech qachon tuzmang va yaratish so‘rovini qayta yubormang."
            },
            "outputs": {
              "all_results": "To‘liq javob va sarlavhalarni, amalda qaytarilgan barcha natijalarni, dastlab qaytarilgan identifikatorlarni hamda barcha usage maydonlarini saqlang. Yaratish so‘rovini qayta yubormasdan dastlabki operatsiyani tiklang.",
              "family": "image",
              "fields": [
                {
                  "description": null,
                  "name": "created",
                  "type": null
                },
                {
                  "description": null,
                  "name": "data[].url",
                  "type": null
                },
                {
                  "description": null,
                  "name": "data[].b64_json",
                  "type": null
                },
                {
                  "description": null,
                  "name": "usage",
                  "type": null
                }
              ]
            },
            "parameters": [
              {
                "enum": [
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                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "min_length": 1,
                "name": "prompt",
                "required": true,
                "type": "string"
              },
              {
                "enum": [
                  "1K",
                  "2K"
                ],
                "enum_known": true,
                "name": "resolution",
                "required": false,
                "type": "string"
              },
              {
                "enum": [
                  "1:1",
                  "3:4",
                  "4:3",
                  "9:16",
                  "16:9",
                  "2:3",
                  "3:2",
                  "9:19.5",
                  "19.5:9",
                  "9:20",
                  "20:9",
                  "1:2",
                  "2:1",
                  "auto"
                ],
                "enum_known": true,
                "name": "aspect_ratio",
                "required": false,
                "type": "string"
              },
              {
                "enum": [
                  "low",
                  "medium"
                ],
                "enum_known": true,
                "name": "quality",
                "required": false,
                "type": "string"
              },
              {
                "maximum": 1,
                "minimum": 1,
                "name": "n",
                "required": false,
                "type": "integer"
              },
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                "items": {
                  "properties": {
                    "image_url": {
                      "properties": {
                        "url": {
                          "type": "string"
                        }
                      },
                      "required": [
                        "url"
                      ],
                      "type": "object"
                    },
                    "type": {
                      "const": "image_url"
                    }
                  },
                  "required": [
                    "type",
                    "image_url"
                  ],
                  "type": "object"
                },
                "maximum_items": 3,
                "minimum_items": 0,
                "name": "input_references",
                "required": false,
                "type": "array"
              },
              {
                "name": "provider",
                "required": false,
                "type": "object"
              }
            ],
            "request_schema": {
              "properties": {
                "aspect_ratio": {
                  "enum": [
                    "1:1",
                    "3:4",
                    "4:3",
                    "9:16",
                    "16:9",
                    "2:3",
                    "3:2",
                    "9:19.5",
                    "19.5:9",
                    "9:20",
                    "20:9",
                    "1:2",
                    "2:1",
                    "auto"
                  ],
                  "type": "string"
                },
                "input_references": {
                  "items": {
                    "properties": {
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                        "properties": {
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                            "type": "string"
                          }
                        },
                        "required": [
                          "url"
                        ],
                        "type": "object"
                      },
                      "type": {
                        "const": "image_url"
                      }
                    },
                    "required": [
                      "type",
                      "image_url"
                    ],
                    "type": "object"
                  },
                  "maxItems": 3,
                  "minItems": 0,
                  "type": "array"
                },
                "model": {
                  "enum": [
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                  "type": "string"
                },
                "n": {
                  "maximum": 1,
                  "minimum": 1,
                  "type": "integer"
                },
                "prompt": {
                  "minLength": 1,
                  "type": "string"
                },
                "provider": {
                  "description": "Exact image provider preferences from the documented image request schema.",
                  "type": "object"
                },
                "quality": {
                  "enum": [
                    "low",
                    "medium"
                  ],
                  "type": "string"
                },
                "resolution": {
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                    "2K"
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                  "type": "string"
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              },
              "required": [
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                "prompt"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": false,
              "body": {
                "model": "x-ai/grok-imagine-image-2.0",
                "prompt": "a red panda astronaut floating in space, studio lighting"
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "content_type": "application/json",
            "material_types": [
              "text",
              "image"
            ],
            "required": [
              "model",
              "prompt"
            ]
          },
          "lifecycle": {
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets"
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "content": [
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "exact returned signed URL; never construct token"
              }
            ],
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "status": [
              {
                "http": "GET",
                "id_source": "Amalda qaytarilgan task_id yoki media kutubxonasidagi yozuv",
                "path": "/v1/media/tasks/{task_id}"
              }
            ],
            "unknown": "Keep the returned X-Client-Request-ID for reconciliation. Read only actual returned task_id/asset_id values or the owned media library; never build a task URL from the operation ID and never resubmit creation."
          },
          "method": {
            "http": "POST",
            "path": "/v1/images/generations"
          },
          "output": {
            "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.",
            "family": "image",
            "fields": [
              {
                "description": null,
                "name": "created",
                "type": null
              },
              {
                "description": null,
                "name": "data[].url",
                "type": null
              },
              {
                "description": null,
                "name": "data[].b64_json",
                "type": null
              },
              {
                "description": null,
                "name": "usage",
                "type": null
              }
            ]
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per input image"
            },
            "label": "input image",
            "units": [
              {
                "amount": "0.02",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "image_input",
                "label": "input image",
                "native_amount_usd_per_unit": "0.02",
                "native_quantity": 1,
                "public_unit_label": "per input image",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "image_input"
              }
            ]
          },
          {
            "basis": "Bu taxmin qo‘shimcha to‘lov ham, tugallangan generatsiya uchun qat’iy tarif ham emas.",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "Yaratishning taxminiy qiymati",
            "units": [
              {
                "amount": "0.08",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.08",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np={'model': 'x-ai/grok-imagine-image-2.0', 'prompt': 'a red panda astronaut floating in space, studio lighting'}\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/images/generations \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\npython3 - <<'PY_RESULT'\nimport base64, json, os, subprocess\nfrom pathlib import Path\nfrom urllib.parse import urlsplit, urljoin\n\ndef save_images(items):\n    if not items: raise SystemExit(\"No completed images; retain the full response\")\n    for index, item in enumerate(items):\n        encoded=item.get(\"b64_json\")\n        uri=item.get(\"url\", \"\")\n        if not encoded and uri.startswith(\"data:image/\"):\n            header, separator, encoded=uri.partition(\",\")\n            if not separator or \";base64\" not in header: raise SystemExit(\"Unsupported image data URI\")\n        if encoded:\n            raw=base64.b64decode(encoded,validate=True)\n        elif uri:\n            uri=urljoin(\"https://api.ailoot.ai\",uri)\n            parsed=urlsplit(uri)\n            if parsed.scheme!=\"https\" or not parsed.netloc or parsed.username or parsed.password:\n                raise SystemExit(\"Invalid returned image URL\")\n            owned=parsed.netloc==\"api.ailoot.ai\" and parsed.path.startswith(\"/v1/media/assets/\") and parsed.path.endswith(\"/content\")\n            args=[\"curl\",\"--fail-with-body\",\"--silent\",\"--show-error\",uri]\n            if owned: args += [\"-H\",\"Authorization: Bearer \"+os.environ[\"AILOOT_API_KEY\"]]\n            temporary=Path(f\"image-{index}.bin\")\n            subprocess.run(args+[\"-o\",str(temporary)],check=True)\n            raw=temporary.read_bytes()\n            temporary.unlink()\n        else: raise SystemExit(\"Image has neither bytes nor URL\")\n        if not raw: raise SystemExit(\"Empty image result\")\n        ext=\"png\" if raw.startswith(b\"\\x89PNG\") else \"jpg\" if raw.startswith(b\"\\xff\\xd8\") else \"webp\" if raw[:4]==b\"RIFF\" and raw[8:12]==b\"WEBP\" else \"svg\" if raw.lstrip().startswith((b\"<svg\",b\"<?xml\")) else \"bin\"\n        Path(f\"image-{index}.{ext}\").write_bytes(raw)\n    print(\"Every returned image saved; complete response metadata retained\")\nsave_images(json.loads(Path(\"result.json\").read_text())[\"data\"])\nPY_RESULT\n",
            "label": "curl · exact creation/save all outputs",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o owned-assets.json\n# Preserve every returned asset and follow its exact signed content URL. Do not construct a signed token.\n",
            "label": "Read existing owned assets",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "images",
        "hints": [
          "Use the exact caller model ID and documented input representation.",
          "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again."
        ],
        "http": "POST",
        "in": null,
        "input": [
          "text",
          "image"
        ],
        "label": "Rasmlar",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [
          "/v1/images"
        ],
        "native_endpoint": "images",
        "out": null,
        "output": [
          "image"
        ],
        "path": "/v1/images/generations",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "pricing": {
          "billing_mode": "original_invoice_usd",
          "image_input_price": null,
          "image_output_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per input image"
            },
            "label": "input image",
            "units": [
              {
                "amount": "0.02",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "image_input",
                "label": "input image",
                "native_amount_usd_per_unit": "0.02",
                "native_quantity": 1,
                "public_unit_label": "per input image",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "image_input"
              }
            ]
          },
          {
            "basis": "This estimate is not an additional charge or a fixed rate for the completed generation.",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "Estimated generation cost",
            "units": [
              {
                "amount": "0.08",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.08",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "request_model_id": "x-ai/grok-imagine-image-2.0",
        "route_label": "Ultra",
        "status_reads": [
          "GET /v1/media/tasks/{task_id}"
        ],
        "tiers": [],
        "units": [
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          },
          {
            "amount": "0.02",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "image_input",
            "label": "input image",
            "native_amount_usd_per_unit": "0.02",
            "native_quantity": 1,
            "public_unit_label": "per input image",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "image_input"
          },
          {
            "amount": "0.08",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "forecast_usd",
            "label": "Estimated generation cost",
            "native_amount_usd_per_unit": "0.08",
            "native_quantity": 1,
            "public_unit_label": "estimate before generation",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "request_estimate"
          }
        ]
      }
    ],
    "model_aliases": [
      {
        "canonical_model_id": "x-ai/grok-imagine-image-2.0",
        "request_model_id": "x-ai/grok-imagine-image-2.0",
        "route_label": "Ultra"
      }
    ],
    "name": "xAI: Grok Imagine Image 2.0",
    "price": {
      "estimate_only": true,
      "in": null,
      "in_label": null,
      "out": 0.08,
      "out_label": "estimate before generation",
      "scope_label": "Estimated generation cost",
      "sort_in": null,
      "sort_out": 0.08,
      "varies": false
    },
    "short": "Grok Imagine Image 2.0 yozma topshiriqlar asosida tasvirlar yaratadi va mavjud tasvirlarni tabiiy tildagi ko‘rsatmalar orqali tahrirlaydi. xAI hujjatlarida sifat, aniqlik va kompozitsiyani sozlash, bir nechta tasvirdan namuna sifatida foydalanish, uslubni ko‘chirish va natijani bosqichma-bosqich takomillashtirish bayon qilingan."
  },
  "renderer_schema": {
    "method_order": "Original DTO methods order; every exact route/format/path/caller survives.",
    "prices": "Original public DTO fields and original native display HTML; no flattened or normalized offers."
  },
  "representation": "exact-public-dto-and-native-renderer-html",
  "representationNotes": {
    "current_reference": {
      "about_json_pointer": "/aboutHtml",
      "methods": [
        {
          "contract_json_pointer": "/methods/0/rawMethod/contract",
          "html_json_pointer": "/methods/0/html",
          "method_ordinal": 0
        }
      ],
      "role": "current-semantic-reference"
    },
    "raw_input": {
      "examples_role": "historical-input-not-current-ready-examples",
      "json_pointers": [
        "/rawModel",
        "/methods/0/rawMethod"
      ],
      "role": "historical-owner-input"
    },
    "schema": "ailoot-native-model-representations-v1"
  },
  "schema": "ailoot-static-model-facts-v1",
  "schema_version": 1,
  "shortText": "Grok Imagine Image 2.0 yozma topshiriqlar asosida tasvirlar yaratadi va mavjud tasvirlarni tabiiy tildagi ko‘rsatmalar orqali tahrirlaydi. xAI hujjatlarida sifat, aniqlik va kompozitsiyani sozlash, bir nechta tasvirdan namuna sifatida foydalanish, uslubni ko‘chirish va natijani bosqichma-bosqich takomillashtirish bayon qilingan.",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "276f6cc2d79249eba00c79bf650b5ed10abdc94f63cfd4202c15d83fcfd7d7b8",
    "renderer_sha256": "aa8a0fca1bd770c042b64987512b6187fca2067aea3ddc877f68b163d80e7df6"
  },
  "sourceRevision": "69ae268fc8c7294eac83cf2c9ed08c1c8c550170ac77335d4b343f9c67562942"
}