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  "aboutHtml": "<p>FLUX.2 [max] — Black Forest Labs’ning FLUX.2 tasvir yaratish va tahrirlash oilasidagi eng yuqori sifatli a’zosi. Ishlab chiqaruvchi uni talabchan yakuniy materiallar, murakkab topshiriqqa kuchli rioya qilish va tahrirlar o‘rtasidagi izchillik uchun taklif qiladi. U yozma tavsifdan tasvir yaratadi yoki berilgan tasvirlardan vizual namuna sifatida foydalanadi. Oiladagi ajratib turuvchi imkoniyati — qidiruv ma’lumotlariga tayanish: so‘rov faqat topshiriqda tasvirlangan sahnaga emas, dolzarb axborotga ham murojaat qilishi mumkin.</p><h4>Haqiqiy dunyo axboroti va vizual topshiriq</h4><p>Ishlab chiqaruvchi hozirgi ob-havo, yaqindagi sport hodisasi yoki tarixiy muhit kabi mavzular uchun veb-qidiruvni hujjatlashtiradi. Tasvirga tegishli haqiqiy joy, hodisa va vaqtni aniqlang, badiiy ishlovni esa alohida tasvirlang. Manbaga tayangan ob-havo kartasi g‘oyasida shahar, qaysi holatni ko‘rsatish, aniq sarlavha va maket berilishi mumkin. Qidiruv yaratishga axborot beradi; jozibali illyustratsiya faktik xabarga aylanishidan oldin undagi ko‘rinadigan faktlarni tegishli manbaga solishtirish baribir zarur.</p><p>E’lon qilingan FLUX.2 taqqoslashida bu qidiruv imkoniyati [max] ga tegishli. Boshqa nomlangan a’zolarning o‘z vazifalari bor: [pro] ishlab chiqarish uchun, [flex] sozlanadigan namuna olish va tipografika uchun, [klein] esa ixcham interaktiv yaratish uchun. Keyingi tuzatish qidiruvga tayana oladigan profilni boshqa nashrga indamay almashtirmasligi uchun tanlangan model nomini natija bilan saqlang.</p><h4>Talabchan tahrirlar uchun namunalar</h4><p>Hujjatlashtirilgan so‘rov profili sakkiztagacha namuna tasvirini qabul qiladi; ishlab chiqaruvchining interaktiv interfeysi alohida ravishda o‘ntagacha ruxsat beradi. Har bir namunaga qahramon qiyofasi, mahsulot dizayni, kiyim, xona yoki vizual uslub kabi vazifa bering. Kompozitsiya bir tasvirdagi stulni boshqa tasvirdagi xona bilan birlashtirib, stul silueti va materialini saqlashi mumkin. Mavjud sahnada o‘zgartiriladigan obyekt va saqlanadigan detallarni, jumladan yorug‘lik yo‘nalishi va atrof geometriyasini belgilang.</p><p>Oila misollariga fon o‘zgartirish, obyekt almashtirish, mebel kompozitsiyalari, matn tahrirlari va izchil qahramonlar kiradi. Mustaqil yakuniy material topshirig‘i berilgan soatni qoramtir taxlangan matoga qo‘yishi, siferblat va tasma dizaynini saqlashi, faqat yoritishni yumshoq yon yorug‘ligiga o‘zgartirishi mumkin. Har bir xususiyat qaysi manbadan kelishini ayting va natijadagi siferblat, belgilar, material hamda akslarni birgalikda tekshiring. Saqlash ko‘rsatmasi maqsadni belgilaydi; qaytgan tasvir esa u bilan taqqoslanadigan dalildir.</p><h4>Matn, ranglar va topshiriq talqini</h4><p>FLUX.2 qo‘llanmasi muhim elementlar avval keladigan obyekt–harakat–uslub–kontekst tuzilmasini tavsiya qiladi. Tezkor g‘oyalar uchun 10–30, oddiy loyihalar uchun 30–80 so‘z va murakkab sahna uchun uzunroq tavsiflar taklif etiladi. Bular qat’iy kontekst chegaralari emas, yozish tavsiyalaridir. Tabiiy til va JSON tuzilmali sahna tavsiflari obyektlar, joylashuv, yorug‘lik va uslubni tartiblashning hujjatlashtirilgan usullaridir. Tuzilmali topshiriq tasvir uchun brif bo‘lib, tuzilmali matn javobini va’da qilmaydi.</p><p>Ko‘rinadigan yozuv uchun so‘zlarni qo‘shtirnoqqa oling, joyini belgilang va tipografik iyerarxiyani tasvirlang. Har bir o‘n oltilik rangni muayyan obyekt yoki matn elementi bilan bog‘lang; nishoni nomlanmagan rang kodi noaniq. Ishlab chiqaruvchi qo‘llanmasi salbiy topshiriq mexanizmi o‘rniga ijobiy tavsiflardan foydalanadi. Sarlavha uchun bo‘sh joyli mahsulot sahnasida shu bo‘sh hudud va uning kerakli joyini bevosita tasvirlang.</p><p>Aynan [max] so‘rov spetsifikatsiyasi topshiriqni kengaytirishni odatda qo‘llaydi. Uning disable_pup boshqaruvi puxta yozilgan topshiriq berilganicha ishlatilishi kerak bo‘lganda kengaytirishni o‘chiradi. Bu yakuniy tasvirda har bir so‘z o‘zgarishsiz chiqadi degan da’vodan farq qiladi. Kutilmagan vizual qaror ko‘rsatmadanmi yoki uning talqinidanmi kelganini baholashda haqiqiy topshiriq va tanlangan sozlamani natija bilan saqlang.</p><h4>Natija va foydali yakuniy material</h4><p>Oila qo‘llanmasi 4 megapikselgacha tasvir, kamida 64×64 va 16 ga karrali aniq o‘lchamlarni hujjatlashtiradi. Odatiy foydalanish uchun 2 megapikselgacha tavsiya etiladi. Aynan [max] profilida JPEG, PNG va WebP, standart sifatida JPEG hamda ixtiyoriy tasodifiy seed ko‘rsatilgan. Kompozitsiyani tuzishdan oldin natija formatini mo‘ljallangan joylashuvga mos tanlang. Modelda tasvir yaratish allaqachon tayyor material o‘lchamini o‘zgartirishdan alohida ishdir.</p><p>Yakuniy variantni tanlashda tasvir, namunalar, topshiriq, o‘lchamlar va model identifikatsiyasini saqlang. Ishlab chiqaruvchining FLUX.2 qo‘llanmasi imzolangan natija havolasi vaqtinchalik ekanini, uni olish uchun o‘n daqiqalik muddat borligini ogohlantiradi. Mayda matn, obyekt qiyofasi, maket, yorug‘lik va qidiruvdan olingan faktlarni mo‘ljallangan ko‘rsatish o‘lchamida tekshiring. Foydali artefakt — muhim detallari topshiriqqa hech solishtirilmagan sahna emas, keyingi aniq tuzatishni davom ettirishga yetarli kontekst bilan saqlangan tanlangan vizualdir.</p>",
  "aboutText": "FLUX.2 [max] — Black Forest Labs’ning FLUX.2 tasvir yaratish va tahrirlash oilasidagi eng yuqori sifatli a’zosi. Ishlab chiqaruvchi uni talabchan yakuniy materiallar, murakkab topshiriqqa kuchli rioya qilish va tahrirlar o‘rtasidagi izchillik uchun taklif qiladi. U yozma tavsifdan tasvir yaratadi yoki berilgan tasvirlardan vizual namuna sifatida foydalanadi. Oiladagi ajratib turuvchi imkoniyati — qidiruv ma’lumotlariga tayanish: so‘rov faqat topshiriqda tasvirlangan sahnaga emas, dolzarb axborotga ham murojaat qilishi mumkin.\n\n### Haqiqiy dunyo axboroti va vizual topshiriq\n\nIshlab chiqaruvchi hozirgi ob-havo, yaqindagi sport hodisasi yoki tarixiy muhit kabi mavzular uchun veb-qidiruvni hujjatlashtiradi. Tasvirga tegishli haqiqiy joy, hodisa va vaqtni aniqlang, badiiy ishlovni esa alohida tasvirlang. Manbaga tayangan ob-havo kartasi g‘oyasida shahar, qaysi holatni ko‘rsatish, aniq sarlavha va maket berilishi mumkin. Qidiruv yaratishga axborot beradi; jozibali illyustratsiya faktik xabarga aylanishidan oldin undagi ko‘rinadigan faktlarni tegishli manbaga solishtirish baribir zarur.\n\nE’lon qilingan FLUX.2 taqqoslashida bu qidiruv imkoniyati [max] ga tegishli. Boshqa nomlangan a’zolarning o‘z vazifalari bor: [pro] ishlab chiqarish uchun, [flex] sozlanadigan namuna olish va tipografika uchun, [klein] esa ixcham interaktiv yaratish uchun. Keyingi tuzatish qidiruvga tayana oladigan profilni boshqa nashrga indamay almashtirmasligi uchun tanlangan model nomini natija bilan saqlang.\n\n### Talabchan tahrirlar uchun namunalar\n\nHujjatlashtirilgan so‘rov profili sakkiztagacha namuna tasvirini qabul qiladi; ishlab chiqaruvchining interaktiv interfeysi alohida ravishda o‘ntagacha ruxsat beradi. Har bir namunaga qahramon qiyofasi, mahsulot dizayni, kiyim, xona yoki vizual uslub kabi vazifa bering. Kompozitsiya bir tasvirdagi stulni boshqa tasvirdagi xona bilan birlashtirib, stul silueti va materialini saqlashi mumkin. Mavjud sahnada o‘zgartiriladigan obyekt va saqlanadigan detallarni, jumladan yorug‘lik yo‘nalishi va atrof geometriyasini belgilang.\n\nOila misollariga fon o‘zgartirish, obyekt almashtirish, mebel kompozitsiyalari, matn tahrirlari va izchil qahramonlar kiradi. Mustaqil yakuniy material topshirig‘i berilgan soatni qoramtir taxlangan matoga qo‘yishi, siferblat va tasma dizaynini saqlashi, faqat yoritishni yumshoq yon yorug‘ligiga o‘zgartirishi mumkin. Har bir xususiyat qaysi manbadan kelishini ayting va natijadagi siferblat, belgilar, material hamda akslarni birgalikda tekshiring. Saqlash ko‘rsatmasi maqsadni belgilaydi; qaytgan tasvir esa u bilan taqqoslanadigan dalildir.\n\n### Matn, ranglar va topshiriq talqini\n\nFLUX.2 qo‘llanmasi muhim elementlar avval keladigan obyekt–harakat–uslub–kontekst tuzilmasini tavsiya qiladi. Tezkor g‘oyalar uchun 10–30, oddiy loyihalar uchun 30–80 so‘z va murakkab sahna uchun uzunroq tavsiflar taklif etiladi. Bular qat’iy kontekst chegaralari emas, yozish tavsiyalaridir. Tabiiy til va JSON tuzilmali sahna tavsiflari obyektlar, joylashuv, yorug‘lik va uslubni tartiblashning hujjatlashtirilgan usullaridir. Tuzilmali topshiriq tasvir uchun brif bo‘lib, tuzilmali matn javobini va’da qilmaydi.\n\nKo‘rinadigan yozuv uchun so‘zlarni qo‘shtirnoqqa oling, joyini belgilang va tipografik iyerarxiyani tasvirlang. Har bir o‘n oltilik rangni muayyan obyekt yoki matn elementi bilan bog‘lang; nishoni nomlanmagan rang kodi noaniq. Ishlab chiqaruvchi qo‘llanmasi salbiy topshiriq mexanizmi o‘rniga ijobiy tavsiflardan foydalanadi. Sarlavha uchun bo‘sh joyli mahsulot sahnasida shu bo‘sh hudud va uning kerakli joyini bevosita tasvirlang.\n\nAynan [max] so‘rov spetsifikatsiyasi topshiriqni kengaytirishni odatda qo‘llaydi. Uning disable_pup boshqaruvi puxta yozilgan topshiriq berilganicha ishlatilishi kerak bo‘lganda kengaytirishni o‘chiradi. Bu yakuniy tasvirda har bir so‘z o‘zgarishsiz chiqadi degan da’vodan farq qiladi. Kutilmagan vizual qaror ko‘rsatmadanmi yoki uning talqinidanmi kelganini baholashda haqiqiy topshiriq va tanlangan sozlamani natija bilan saqlang.\n\n### Natija va foydali yakuniy material\n\nOila qo‘llanmasi 4 megapikselgacha tasvir, kamida 64×64 va 16 ga karrali aniq o‘lchamlarni hujjatlashtiradi. Odatiy foydalanish uchun 2 megapikselgacha tavsiya etiladi. Aynan [max] profilida JPEG, PNG va WebP, standart sifatida JPEG hamda ixtiyoriy tasodifiy seed ko‘rsatilgan. Kompozitsiyani tuzishdan oldin natija formatini mo‘ljallangan joylashuvga mos tanlang. Modelda tasvir yaratish allaqachon tayyor material o‘lchamini o‘zgartirishdan alohida ishdir.\n\nYakuniy variantni tanlashda tasvir, namunalar, topshiriq, o‘lchamlar va model identifikatsiyasini saqlang. Ishlab chiqaruvchining FLUX.2 qo‘llanmasi imzolangan natija havolasi vaqtinchalik ekanini, uni olish uchun o‘n daqiqalik muddat borligini ogohlantiradi. Mayda matn, obyekt qiyofasi, maket, yorug‘lik va qidiruvdan olingan faktlarni mo‘ljallangan ko‘rsatish o‘lchamida tekshiring. Foydali artefakt — muhim detallari topshiriqqa hech solishtirilmagan sahna emas, keyingi aniq tuzatishni davom ettirishga yetarli kontekst bilan saqlangan tanlangan vizualdir.",
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      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">•</span><h2 id=\"sheet-title\">Black Forest Labs: FLUX.2 Max</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Yopish\">×</button></div><div class=\"idline\"><span>Black Forest Labs /</span><code>black-forest-labs/flux.2-max</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|black-forest-labs%2Fflux.2-max\">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\">FLUX.2 [max] — Black Forest Labs’ning yuqori talabdagi yakuniy materiallar va izchil tahrirlar uchun tasvir modeli. Uning hujjatlashtirilgan profili vizual namunalar, batafsil sahna nazorati va dolzarb mavzular uchun veb ma’lumotlariga tayanishni 4 megapikselgacha natija bilan birlashtiradi.</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>FLUX.2 [max] — Black Forest Labs’ning FLUX.2 tasvir yaratish va tahrirlash oilasidagi eng yuqori sifatli a’zosi. Ishlab chiqaruvchi uni talabchan yakuniy materiallar, murakkab topshiriqqa kuchli rioya qilish va tahrirlar o‘rtasidagi izchillik uchun taklif qiladi. U yozma tavsifdan tasvir yaratadi yoki berilgan tasvirlardan vizual namuna sifatida foydalanadi. Oiladagi ajratib turuvchi imkoniyati — qidiruv ma’lumotlariga tayanish: so‘rov faqat topshiriqda tasvirlangan sahnaga emas, dolzarb axborotga ham murojaat qilishi mumkin.</p><h4>Haqiqiy dunyo axboroti va vizual topshiriq</h4><p>Ishlab chiqaruvchi hozirgi ob-havo, yaqindagi sport hodisasi yoki tarixiy muhit kabi mavzular uchun veb-qidiruvni hujjatlashtiradi. Tasvirga tegishli haqiqiy joy, hodisa va vaqtni aniqlang, badiiy ishlovni esa alohida tasvirlang. Manbaga tayangan ob-havo kartasi g‘oyasida shahar, qaysi holatni ko‘rsatish, aniq sarlavha va maket berilishi mumkin. Qidiruv yaratishga axborot beradi; jozibali illyustratsiya faktik xabarga aylanishidan oldin undagi ko‘rinadigan faktlarni tegishli manbaga solishtirish baribir zarur.</p><p>E’lon qilingan FLUX.2 taqqoslashida bu qidiruv imkoniyati [max] ga tegishli. Boshqa nomlangan a’zolarning o‘z vazifalari bor: [pro] ishlab chiqarish uchun, [flex] sozlanadigan namuna olish va tipografika uchun, [klein] esa ixcham interaktiv yaratish uchun. Keyingi tuzatish qidiruvga tayana oladigan profilni boshqa nashrga indamay almashtirmasligi uchun tanlangan model nomini natija bilan saqlang.</p><h4>Talabchan tahrirlar uchun namunalar</h4><p>Hujjatlashtirilgan so‘rov profili sakkiztagacha namuna tasvirini qabul qiladi; ishlab chiqaruvchining interaktiv interfeysi alohida ravishda o‘ntagacha ruxsat beradi. Har bir namunaga qahramon qiyofasi, mahsulot dizayni, kiyim, xona yoki vizual uslub kabi vazifa bering. Kompozitsiya bir tasvirdagi stulni boshqa tasvirdagi xona bilan birlashtirib, stul silueti va materialini saqlashi mumkin. Mavjud sahnada o‘zgartiriladigan obyekt va saqlanadigan detallarni, jumladan yorug‘lik yo‘nalishi va atrof geometriyasini belgilang.</p><p>Oila misollariga fon o‘zgartirish, obyekt almashtirish, mebel kompozitsiyalari, matn tahrirlari va izchil qahramonlar kiradi. Mustaqil yakuniy material topshirig‘i berilgan soatni qoramtir taxlangan matoga qo‘yishi, siferblat va tasma dizaynini saqlashi, faqat yoritishni yumshoq yon yorug‘ligiga o‘zgartirishi mumkin. Har bir xususiyat qaysi manbadan kelishini ayting va natijadagi siferblat, belgilar, material hamda akslarni birgalikda tekshiring. Saqlash ko‘rsatmasi maqsadni belgilaydi; qaytgan tasvir esa u bilan taqqoslanadigan dalildir.</p><h4>Matn, ranglar va topshiriq talqini</h4><p>FLUX.2 qo‘llanmasi muhim elementlar avval keladigan obyekt–harakat–uslub–kontekst tuzilmasini tavsiya qiladi. Tezkor g‘oyalar uchun 10–30, oddiy loyihalar uchun 30–80 so‘z va murakkab sahna uchun uzunroq tavsiflar taklif etiladi. Bular qat’iy kontekst chegaralari emas, yozish tavsiyalaridir. Tabiiy til va JSON tuzilmali sahna tavsiflari obyektlar, joylashuv, yorug‘lik va uslubni tartiblashning hujjatlashtirilgan usullaridir. Tuzilmali topshiriq tasvir uchun brif bo‘lib, tuzilmali matn javobini va’da qilmaydi.</p><p>Ko‘rinadigan yozuv uchun so‘zlarni qo‘shtirnoqqa oling, joyini belgilang va tipografik iyerarxiyani tasvirlang. Har bir o‘n oltilik rangni muayyan obyekt yoki matn elementi bilan bog‘lang; nishoni nomlanmagan rang kodi noaniq. Ishlab chiqaruvchi qo‘llanmasi salbiy topshiriq mexanizmi o‘rniga ijobiy tavsiflardan foydalanadi. Sarlavha uchun bo‘sh joyli mahsulot sahnasida shu bo‘sh hudud va uning kerakli joyini bevosita tasvirlang.</p><p>Aynan [max] so‘rov spetsifikatsiyasi topshiriqni kengaytirishni odatda qo‘llaydi. Uning disable_pup boshqaruvi puxta yozilgan topshiriq berilganicha ishlatilishi kerak bo‘lganda kengaytirishni o‘chiradi. Bu yakuniy tasvirda har bir so‘z o‘zgarishsiz chiqadi degan da’vodan farq qiladi. Kutilmagan vizual qaror ko‘rsatmadanmi yoki uning talqinidanmi kelganini baholashda haqiqiy topshiriq va tanlangan sozlamani natija bilan saqlang.</p><h4>Natija va foydali yakuniy material</h4><p>Oila qo‘llanmasi 4 megapikselgacha tasvir, kamida 64×64 va 16 ga karrali aniq o‘lchamlarni hujjatlashtiradi. Odatiy foydalanish uchun 2 megapikselgacha tavsiya etiladi. Aynan [max] profilida JPEG, PNG va WebP, standart sifatida JPEG hamda ixtiyoriy tasodifiy seed ko‘rsatilgan. Kompozitsiyani tuzishdan oldin natija formatini mo‘ljallangan joylashuvga mos tanlang. Modelda tasvir yaratish allaqachon tayyor material o‘lchamini o‘zgartirishdan alohida ishdir.</p><p>Yakuniy variantni tanlashda tasvir, namunalar, topshiriq, o‘lchamlar va model identifikatsiyasini saqlang. Ishlab chiqaruvchining FLUX.2 qo‘llanmasi imzolangan natija havolasi vaqtinchalik ekanini, uni olish uchun o‘n daqiqalik muddat borligini ogohlantiradi. Mayda matn, obyekt qiyofasi, maket, yorug‘lik va qidiruvdan olingan faktlarni mo‘ljallangan ko‘rsatish o‘lchamida tekshiring. Foydali artefakt — muhim detallari topshiriqqa hech solishtirilmagan sahna emas, keyingi aniq tuzatishni davom ettirishga yetarli kontekst bilan saqlangan tanlangan vizualdir.</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>black-forest-labs/flux.2-max</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\">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, 4:3, 3:4, 3:2, 2:3, 16:9, 9:16, 21:9, 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\">output_format</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>png, jpeg</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: 8</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>Chiqish rasmining megapikseli</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>chiqish rasmining megapikseli uchun</td><td data-cell-label=\"To‘lov\"><span class=\"card-cell-label\">To‘lov</span><div><span>Chiqish · Chiqish rasmining megapikseli · Faqat taqqoslash uchun taxmin</span> <b>$0.14</b> <span class=\"price-unit\">chiqish rasmining megapikseli 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>$0.14</b> <span class=\"price-unit\">yaratishdan oldingi taxmin</span></div><p class=\"note-s\">Bu taxmin qo‘shimcha to‘lov ham, tugallangan generatsiya uchun qat’iy tarif ham emas.</p></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot so‘rovdan oldin taxminiy summani band qiladi. Natijadan keyin o‘lchangan sarf asosidagi yakuniy to‘lovni yechadi. Oqimli javob bo‘yicha yakuniy hisob-kitob yakuniy sarf yozuviga asoslanadi. <a href=\"/docs/uz/billing/reserve/\">Summani band qilish va to‘lovni hisoblash tartibi →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">So‘rov namunalari</h3><h4>Ailoot Ultra · Rasmlar</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Kod variantlari\"><button class=\"cg-tab\" id=\"model-code-1103-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1103-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Kodni nusxalash\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-1103-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1103-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${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;black-forest-labs/flux.2-max&#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-1104-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1104-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-1104-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1104-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=black-forest-labs%2Fflux.2-max&amp;route=Ultra&amp;caller=black-forest-labs%2Fflux.2-max&amp;fmt=images\"><code>black-forest-labs/flux.2-max</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=black-forest-labs%2Fflux.2-max&amp;route=Ultra&amp;caller=black-forest-labs%2Fflux.2-max&amp;fmt=images\"><code>black-forest-labs/flux.2-max</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "black-forest-labs/flux.2-max",
        "fmt": "images",
        "http": "POST",
        "path": "/v1/images/generations",
        "request_model_id": "black-forest-labs/flux.2-max",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|images|/v1/images/generations|black-forest-labs%2Fflux.2-max",
      "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": [
                  "black-forest-labs/flux.2-max"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "min_length": 1,
                "name": "prompt",
                "required": true,
                "type": "string"
              },
              {
                "enum": [
                  "1:1",
                  "4:3",
                  "3:4",
                  "3:2",
                  "2:3",
                  "16:9",
                  "9:16",
                  "21:9",
                  "auto"
                ],
                "enum_known": true,
                "name": "aspect_ratio",
                "required": false,
                "type": "string"
              },
              {
                "enum": [
                  "png",
                  "jpeg"
                ],
                "enum_known": true,
                "name": "output_format",
                "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": 8,
                "minimum_items": 0,
                "name": "input_references",
                "required": false,
                "type": "array"
              },
              {
                "name": "provider",
                "required": false,
                "type": "object"
              }
            ],
            "request_schema": {
              "properties": {
                "aspect_ratio": {
                  "enum": [
                    "1:1",
                    "4:3",
                    "3:4",
                    "3:2",
                    "2:3",
                    "16:9",
                    "9:16",
                    "21:9",
                    "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": 8,
                  "minItems": 0,
                  "type": "array"
                },
                "model": {
                  "enum": [
                    "black-forest-labs/flux.2-max"
                  ],
                  "type": "string"
                },
                "n": {
                  "maximum": 1,
                  "minimum": 1,
                  "type": "integer"
                },
                "output_format": {
                  "enum": [
                    "png",
                    "jpeg"
                  ],
                  "type": "string"
                },
                "prompt": {
                  "minLength": 1,
                  "type": "string"
                },
                "provider": {
                  "description": "Exact image provider preferences from the documented image request schema.",
                  "type": "object"
                }
              },
              "required": [
                "model",
                "prompt"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": false,
              "body": {
                "model": "black-forest-labs/flux.2-max",
                "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 output image megapixel"
            },
            "label": "output image megapixel",
            "units": [
              {
                "amount": "0.14",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "image_output_megapixel",
                "label": "output image megapixel",
                "native_amount_usd_per_unit": "0.14",
                "native_quantity": 1,
                "public_unit_label": "per output image megapixel",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "image_output_megapixel"
              }
            ]
          },
          {
            "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": "0.14",
                "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": "0.14",
                "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': 'black-forest-labs/flux.2-max', '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 output image megapixel"
            },
            "label": "output image megapixel",
            "units": [
              {
                "amount": "0.14",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "image_output_megapixel",
                "label": "output image megapixel",
                "native_amount_usd_per_unit": "0.14",
                "native_quantity": 1,
                "public_unit_label": "per output image megapixel",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "image_output_megapixel"
              }
            ]
          },
          {
            "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": "0.14",
                "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": "0.14",
                "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": "black-forest-labs/flux.2-max",
        "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": "0.14",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "image_output_megapixel",
            "label": "output image megapixel",
            "native_amount_usd_per_unit": "0.14",
            "native_quantity": 1,
            "public_unit_label": "per output image megapixel",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "image_output_megapixel"
          },
          {
            "amount": "0.14",
            "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": "0.14",
            "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_id": "black-forest-labs/flux.2-max",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "09c2b81cf1ed71ce24032ff404b8f2800769da3efb519b3cd9b2f1043d3a5aaa",
    "input_html_sha256": "4621808fa69c937ea5f1d5355589bf9e2306989178738532991a0cd44fa9eb4e",
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  "page": {
    "canonical": "https://ailoot.ai/models/uz/black-forest-labs-flux-2-max/",
    "description": "FLUX.2 [max] — Black Forest Labs’ning yuqori talabdagi yakuniy materiallar va izchil tahrirlar uchun tasvir modeli. Uning hujjatlashtirilgan profili vizual namunalar, batafsil sahna nazorati va dolzarb mavzular uchun veb ma’lumotlariga tayanishni 4 megapikselgacha natija bilan birlashtiradi.",
    "locale": "uz",
    "md_url": "https://ailoot.ai/models/uz/black-forest-labs-flux-2-max/index.md",
    "title": "Black Forest Labs: FLUX.2 Max — Ailoot",
    "url": "https://ailoot.ai/models/uz/black-forest-labs-flux-2-max/"
  },
  "rawModel": {
    "about": "FLUX.2 [max] — Black Forest Labs’ning FLUX.2 tasvir yaratish va tahrirlash oilasidagi eng yuqori sifatli a’zosi. Ishlab chiqaruvchi uni talabchan yakuniy materiallar, murakkab topshiriqqa kuchli rioya qilish va tahrirlar o‘rtasidagi izchillik uchun taklif qiladi. U yozma tavsifdan tasvir yaratadi yoki berilgan tasvirlardan vizual namuna sifatida foydalanadi. Oiladagi ajratib turuvchi imkoniyati — qidiruv ma’lumotlariga tayanish: so‘rov faqat topshiriqda tasvirlangan sahnaga emas, dolzarb axborotga ham murojaat qilishi mumkin.\n\n### Haqiqiy dunyo axboroti va vizual topshiriq\n\nIshlab chiqaruvchi hozirgi ob-havo, yaqindagi sport hodisasi yoki tarixiy muhit kabi mavzular uchun veb-qidiruvni hujjatlashtiradi. Tasvirga tegishli haqiqiy joy, hodisa va vaqtni aniqlang, badiiy ishlovni esa alohida tasvirlang. Manbaga tayangan ob-havo kartasi g‘oyasida shahar, qaysi holatni ko‘rsatish, aniq sarlavha va maket berilishi mumkin. Qidiruv yaratishga axborot beradi; jozibali illyustratsiya faktik xabarga aylanishidan oldin undagi ko‘rinadigan faktlarni tegishli manbaga solishtirish baribir zarur.\n\nE’lon qilingan FLUX.2 taqqoslashida bu qidiruv imkoniyati [max] ga tegishli. Boshqa nomlangan a’zolarning o‘z vazifalari bor: [pro] ishlab chiqarish uchun, [flex] sozlanadigan namuna olish va tipografika uchun, [klein] esa ixcham interaktiv yaratish uchun. Keyingi tuzatish qidiruvga tayana oladigan profilni boshqa nashrga indamay almashtirmasligi uchun tanlangan model nomini natija bilan saqlang.\n\n### Talabchan tahrirlar uchun namunalar\n\nHujjatlashtirilgan so‘rov profili sakkiztagacha namuna tasvirini qabul qiladi; ishlab chiqaruvchining interaktiv interfeysi alohida ravishda o‘ntagacha ruxsat beradi. Har bir namunaga qahramon qiyofasi, mahsulot dizayni, kiyim, xona yoki vizual uslub kabi vazifa bering. Kompozitsiya bir tasvirdagi stulni boshqa tasvirdagi xona bilan birlashtirib, stul silueti va materialini saqlashi mumkin. Mavjud sahnada o‘zgartiriladigan obyekt va saqlanadigan detallarni, jumladan yorug‘lik yo‘nalishi va atrof geometriyasini belgilang.\n\nOila misollariga fon o‘zgartirish, obyekt almashtirish, mebel kompozitsiyalari, matn tahrirlari va izchil qahramonlar kiradi. Mustaqil yakuniy material topshirig‘i berilgan soatni qoramtir taxlangan matoga qo‘yishi, siferblat va tasma dizaynini saqlashi, faqat yoritishni yumshoq yon yorug‘ligiga o‘zgartirishi mumkin. Har bir xususiyat qaysi manbadan kelishini ayting va natijadagi siferblat, belgilar, material hamda akslarni birgalikda tekshiring. Saqlash ko‘rsatmasi maqsadni belgilaydi; qaytgan tasvir esa u bilan taqqoslanadigan dalildir.\n\n### Matn, ranglar va topshiriq talqini\n\nFLUX.2 qo‘llanmasi muhim elementlar avval keladigan obyekt–harakat–uslub–kontekst tuzilmasini tavsiya qiladi. Tezkor g‘oyalar uchun 10–30, oddiy loyihalar uchun 30–80 so‘z va murakkab sahna uchun uzunroq tavsiflar taklif etiladi. Bular qat’iy kontekst chegaralari emas, yozish tavsiyalaridir. Tabiiy til va JSON tuzilmali sahna tavsiflari obyektlar, joylashuv, yorug‘lik va uslubni tartiblashning hujjatlashtirilgan usullaridir. Tuzilmali topshiriq tasvir uchun brif bo‘lib, tuzilmali matn javobini va’da qilmaydi.\n\nKo‘rinadigan yozuv uchun so‘zlarni qo‘shtirnoqqa oling, joyini belgilang va tipografik iyerarxiyani tasvirlang. Har bir o‘n oltilik rangni muayyan obyekt yoki matn elementi bilan bog‘lang; nishoni nomlanmagan rang kodi noaniq. Ishlab chiqaruvchi qo‘llanmasi salbiy topshiriq mexanizmi o‘rniga ijobiy tavsiflardan foydalanadi. Sarlavha uchun bo‘sh joyli mahsulot sahnasida shu bo‘sh hudud va uning kerakli joyini bevosita tasvirlang.\n\nAynan [max] so‘rov spetsifikatsiyasi topshiriqni kengaytirishni odatda qo‘llaydi. Uning disable_pup boshqaruvi puxta yozilgan topshiriq berilganicha ishlatilishi kerak bo‘lganda kengaytirishni o‘chiradi. Bu yakuniy tasvirda har bir so‘z o‘zgarishsiz chiqadi degan da’vodan farq qiladi. Kutilmagan vizual qaror ko‘rsatmadanmi yoki uning talqinidanmi kelganini baholashda haqiqiy topshiriq va tanlangan sozlamani natija bilan saqlang.\n\n### Natija va foydali yakuniy material\n\nOila qo‘llanmasi 4 megapikselgacha tasvir, kamida 64×64 va 16 ga karrali aniq o‘lchamlarni hujjatlashtiradi. Odatiy foydalanish uchun 2 megapikselgacha tavsiya etiladi. Aynan [max] profilida JPEG, PNG va WebP, standart sifatida JPEG hamda ixtiyoriy tasodifiy seed ko‘rsatilgan. Kompozitsiyani tuzishdan oldin natija formatini mo‘ljallangan joylashuvga mos tanlang. Modelda tasvir yaratish allaqachon tayyor material o‘lchamini o‘zgartirishdan alohida ishdir.\n\nYakuniy variantni tanlashda tasvir, namunalar, topshiriq, o‘lchamlar va model identifikatsiyasini saqlang. Ishlab chiqaruvchining FLUX.2 qo‘llanmasi imzolangan natija havolasi vaqtinchalik ekanini, uni olish uchun o‘n daqiqalik muddat borligini ogohlantiradi. Mayda matn, obyekt qiyofasi, maket, yorug‘lik va qidiruvdan olingan faktlarni mo‘ljallangan ko‘rsatish o‘lchamida tekshiring. Foydali artefakt — muhim detallari topshiriqqa hech solishtirilmagan sahna emas, keyingi aniq tuzatishni davom ettirishga yetarli kontekst bilan saqlangan tanlangan vizualdir.",
    "alias_of": null,
    "aliases": [],
    "author": "Black Forest Labs",
    "capabilities": {
      "context_length": 46864,
      "manufacturer_input": [
        "text",
        "image"
      ],
      "manufacturer_output": [
        "image"
      ]
    },
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0.14",
            "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": "0.14",
            "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": "black-forest-labs/flux.2-max",
    "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": [
                  "black-forest-labs/flux.2-max"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "min_length": 1,
                "name": "prompt",
                "required": true,
                "type": "string"
              },
              {
                "enum": [
                  "1:1",
                  "4:3",
                  "3:4",
                  "3:2",
                  "2:3",
                  "16:9",
                  "9:16",
                  "21:9",
                  "auto"
                ],
                "enum_known": true,
                "name": "aspect_ratio",
                "required": false,
                "type": "string"
              },
              {
                "enum": [
                  "png",
                  "jpeg"
                ],
                "enum_known": true,
                "name": "output_format",
                "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": 8,
                "minimum_items": 0,
                "name": "input_references",
                "required": false,
                "type": "array"
              },
              {
                "name": "provider",
                "required": false,
                "type": "object"
              }
            ],
            "request_schema": {
              "properties": {
                "aspect_ratio": {
                  "enum": [
                    "1:1",
                    "4:3",
                    "3:4",
                    "3:2",
                    "2:3",
                    "16:9",
                    "9:16",
                    "21:9",
                    "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": 8,
                  "minItems": 0,
                  "type": "array"
                },
                "model": {
                  "enum": [
                    "black-forest-labs/flux.2-max"
                  ],
                  "type": "string"
                },
                "n": {
                  "maximum": 1,
                  "minimum": 1,
                  "type": "integer"
                },
                "output_format": {
                  "enum": [
                    "png",
                    "jpeg"
                  ],
                  "type": "string"
                },
                "prompt": {
                  "minLength": 1,
                  "type": "string"
                },
                "provider": {
                  "description": "Exact image provider preferences from the documented image request schema.",
                  "type": "object"
                }
              },
              "required": [
                "model",
                "prompt"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": false,
              "body": {
                "model": "black-forest-labs/flux.2-max",
                "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 output image megapixel"
            },
            "label": "output image megapixel",
            "units": [
              {
                "amount": "0.14",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "image_output_megapixel",
                "label": "output image megapixel",
                "native_amount_usd_per_unit": "0.14",
                "native_quantity": 1,
                "public_unit_label": "per output image megapixel",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "image_output_megapixel"
              }
            ]
          },
          {
            "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": "0.14",
                "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": "0.14",
                "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': 'black-forest-labs/flux.2-max', '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 output image megapixel"
            },
            "label": "output image megapixel",
            "units": [
              {
                "amount": "0.14",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "image_output_megapixel",
                "label": "output image megapixel",
                "native_amount_usd_per_unit": "0.14",
                "native_quantity": 1,
                "public_unit_label": "per output image megapixel",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "image_output_megapixel"
              }
            ]
          },
          {
            "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": "0.14",
                "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": "0.14",
                "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": "black-forest-labs/flux.2-max",
        "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": "0.14",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "image_output_megapixel",
            "label": "output image megapixel",
            "native_amount_usd_per_unit": "0.14",
            "native_quantity": 1,
            "public_unit_label": "per output image megapixel",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "image_output_megapixel"
          },
          {
            "amount": "0.14",
            "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": "0.14",
            "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": "black-forest-labs/flux.2-max",
        "request_model_id": "black-forest-labs/flux.2-max",
        "route_label": "Ultra"
      }
    ],
    "name": "Black Forest Labs: FLUX.2 Max",
    "price": {
      "estimate_only": true,
      "in": null,
      "in_label": null,
      "out": 0.14,
      "out_label": "estimate before generation",
      "scope_label": "Estimated generation cost",
      "sort_in": null,
      "sort_out": 0.14,
      "varies": false
    },
    "short": "FLUX.2 [max] — Black Forest Labs’ning yuqori talabdagi yakuniy materiallar va izchil tahrirlar uchun tasvir modeli. Uning hujjatlashtirilgan profili vizual namunalar, batafsil sahna nazorati va dolzarb mavzular uchun veb ma’lumotlariga tayanishni 4 megapikselgacha natija bilan birlashtiradi."
  },
  "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": "FLUX.2 [max] — Black Forest Labs’ning yuqori talabdagi yakuniy materiallar va izchil tahrirlar uchun tasvir modeli. Uning hujjatlashtirilgan profili vizual namunalar, batafsil sahna nazorati va dolzarb mavzular uchun veb ma’lumotlariga tayanishni 4 megapikselgacha natija bilan birlashtiradi.",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "06aae08c2ebefe6b090fcc8105ff27f62708b84927d6cdbd09afa91f31e546e0",
    "renderer_sha256": "aa8a0fca1bd770c042b64987512b6187fca2067aea3ddc877f68b163d80e7df6"
  },
  "sourceRevision": "0f2bb1650bd796ad2dfc413a50195b17d5f515a42391b84bcc297cd467cde027"
}
