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  "aboutHtml": "<p>FLUX.2 [pro] — Black Forest Labs’ning ishlab chiqarishga yo‘naltirilgan tasvir yaratish va tahrirlash modeli. Ishlab chiqaruvchi uni FLUX.2 dagi ko‘pchilik vizual vazifalar uchun asosiy tanlov sifatida taqdim etadi: matndan yangi tasvir yaratish yoki vizual namunalar yordamida sahnani qayta ishlash. Oila imkoniyatlari fotorealistik material va yoritish, o‘qiladigan matn, aniq rang ko‘rsatmalari hamda bog‘liq tahrirlarda obyektlarning izchilligini qamrab oladi. Qaytariladigan artefakt — mahsulot sahnasi, tahririy kompozitsiya, dizayn g‘oyasi yoki vizual xabarda ishlatiladigan tasvir.</p><h4>Ishlab chiqarish topshirig‘ini tayyorlang</h4><p>Asosiy obyekt, uning harakati yoki joylashuvi, uslub hamda muhit yoki yorug‘likdan boshlang. Ishlab chiqaruvchining topshiriq qo‘llanmasi dastlabki so‘zlarga ko‘proq e’tibor beradi va asosiy obyekt hamda harakatni bezak detallaridan oldin qo‘yishni tavsiya qiladi. Tezkor g‘oyalar uchun 10–30, oddiy loyihalar uchun 30–80 so‘z, murakkab sahnalar uchun esa uzunroq tavsiflar taklif qilinadi. Bu oraliqlar matn konteksti chegarasi emas, topshiriq yozish tavsiyalaridir.</p><p>Mustaqil katalog topshirig‘ida iliq kulrang stol ustidagi jilvirlangan po‘lat chiroqni, tugma va qalpog‘i ko‘rinadigan uch chorak rakursda ko‘rsatish mumkin. Mahsulotni tanitadigan sirt, yoritish va ko‘rish nuqtasini belgilang. Infografika yoki marketing tasviri uchun avval ko‘rinadigan so‘zlar va iyerarxiyani hal qiling; aniq sarlavhani qo‘shtirnoqda yozing, joylashuvini, harflar uslubi va o‘lchamini ayting. Yorliqlar, miqdorlar va mahsulot detallarini yakuniy ko‘rsatish o‘lchamida tekshiring.</p><p>Oila qo‘llanmasi tabiiy tildagi va JSON tuzilmali topshiriqlarni hujjatlashtiradi. Tuzilmali sahna topshirig‘i obyekt, fon, yorug‘lik va kompozitsiyani alohida maydonlarda saqlab, bitta talabni aniq o‘zgartirishga imkon beradi. U hex rang tavsiflarini ham qo‘llaydi: kodni rang beriladigan aniq obyekt yoki matn bilan bog‘lang. Kerakli ko‘rinishni ijobiy ifodalang, chunki hujjatlashtirilgan FLUX.2 topshiriq jarayoni salbiy topshiriqlarni taqdim etmaydi.</p><h4>Namunalar va umumiy piksel byudjeti bilan tahrirlang</h4><p>Aynan [pro] so‘rov profili sakkizta namuna tasviri o‘rnini taklif qiladi; ishlab chiqaruvchining interaktiv interfeysi esa alohida ravishda o‘ntasini qo‘llaydi. Har bir tasvirga obyekt qiyofasi, kiyim, mahsulot dizayni, xona yoki uslub kabi vazifa bering. Mavjud sahnada o‘zgartiriladigan elementni, saqlanishi kerak bo‘lgan kompozitsiya, muhit va vizual detallarni ayting. E’lon qilingan misollarga mebel kompozitlari, fon yoki ob-havo almashishi, obyekt almashtirish va matnni tuzatish kiradi.</p><p>Namuna sig‘imi natija o‘lchamiga ham bog‘liq. Ishlab chiqaruvchining [pro] qo‘llanmasi kirish va chiqish uchun jami 9 megapiksellik byudjetni belgilaydi. Misollarda 1 megapikselli natijada sakkizta, 2 megapikselli natijada yettita namuna mumkin; so‘ralgan tasvir kattalashgan sari namuna sig‘imi kamayadi. Eng ko‘p o‘rinlar soni har qanday natija o‘lchamida mavjud deb qarash o‘rniga manbalar to‘plami va natijani birgalikda rejalashtiring. Zarur ma’lumotni belgilaydigan namunalarni ishlating va ularning ko‘zlangan hissasini ayting.</p><p>Mahsulot kompozitida birinchi tasvir mahsulotni, ikkinchisi xonani, uchinchisi esa material qoplamasini berishi mumkin. Ular qanday qilib bitta yaxlit sahnaga aylanishini tushuntiring. Natija saqlanishi kerak bo‘lgan shakl, belgi yoki qiyofani o‘zgartirsa, butun topshiriqni almashtirish o‘rniga keyingi murojaatda aynan shu muammoni nishonga oling. Amaliy natija — namunalarga sodiqligi va aniq o‘zgarishi kirishlar bilan taqqoslangan qayta ishlangan tasvir.</p><h4>Topshiriqni kengaytirish va o‘zgarmas hamda preview profillari</h4><p>Aynan [pro] spetsifikatsiyasida topshiriqni kengaytirish odatda yoqilgan. Uning disable_pup boshqaruvi puxta yozilgan ko‘rsatma berilganicha ishlatilishi kerak bo‘lganda kengaytirishni to‘xtatadi. Variantlarni solishtirishda tanlangan sozlamani saqlang, chunki bir xil qisqa g‘oya va kengaytirilgan tavsif turli yaratish kirishlaridir. Bu ishlab chiqaruvchi profilining boshqaruvi bo‘lib, so‘ralgan har bir detal to‘g‘ri paydo bo‘lishiga kafolat emas.</p><p>Hujjatlar oddiy [pro] endpointini o‘zgarmas model nusxasi, [pro] Preview ni esa keyingi model yaxshilanishlari kiritiladigan profil deb ajratadi. So‘rov va javob tuzilmalari bir xil, asosiy vaznlari esa farq qiladi. Tanlangan aniq profilni tasvir va namunalar bilan birga saqlang. Tuzatish bir xil hujjatlashtirilgan model tanloviga bog‘liq bo‘lsa, alohida Preview belgisi oddiy [pro] tanlovini indamay almashtirmasligi kerak.</p><h4>O‘lchamlar, formatlar va tanlangan material</h4><p>Oila qo‘llanmasi 4 megapikselgacha natijani, kamida 64×64 va 16 ga karrali aniq o‘lchamlarni hujjatlashtiradi. Ko‘pchilik vazifalar uchun 2 megapikselgacha tavsiya qilinadi. Kenglik va balandlik kerakli kadr formatini belgilaydi; kvadrat mahsulot tasviri, vertikal maket va keng tahririy sahna joyni turlicha taqsimlaydi. Aynan shu so‘rov JPEG, PNG va WebP natijalarini, odatiy JPEG formatini va ixtiyoriy seed ni ko‘rsatadi.</p><p>[max] profilida alohida qidiruvga tayangan yaratish imkoniyati bor; [flex] namuna olish qadamlari va guidance ni ochadi, [klein] esa kichikroq, to‘rt namunali profilga ega. Bu boshqaruvlarni [pro] ga ko‘chirish o‘rniga nashrni kerakli ishga qarab tanlang. Tanlangan material uchun haqiqiy tasvir, yakuniy topshiriq, namunalar, o‘lchamlar va model belgisini saqlang. Ishlab chiqaruvchining FLUX.2 imzolangan natija havolalari o‘n daqiqadan so‘ng tugaydi, shuning uchun vaqtinchalik manzilga tayanmasdan tasvirni oling. Natijani mijozga ko‘rinadigan materialga joylashtirishdan avval obyekt qiyofasi, ranglar, matn, kompozitsiya va tahrirlangan detallarni tekshiring.</p>",
  "aboutText": "FLUX.2 [pro] — Black Forest Labs’ning ishlab chiqarishga yo‘naltirilgan tasvir yaratish va tahrirlash modeli. Ishlab chiqaruvchi uni FLUX.2 dagi ko‘pchilik vizual vazifalar uchun asosiy tanlov sifatida taqdim etadi: matndan yangi tasvir yaratish yoki vizual namunalar yordamida sahnani qayta ishlash. Oila imkoniyatlari fotorealistik material va yoritish, o‘qiladigan matn, aniq rang ko‘rsatmalari hamda bog‘liq tahrirlarda obyektlarning izchilligini qamrab oladi. Qaytariladigan artefakt — mahsulot sahnasi, tahririy kompozitsiya, dizayn g‘oyasi yoki vizual xabarda ishlatiladigan tasvir.\n\n### Ishlab chiqarish topshirig‘ini tayyorlang\n\nAsosiy obyekt, uning harakati yoki joylashuvi, uslub hamda muhit yoki yorug‘likdan boshlang. Ishlab chiqaruvchining topshiriq qo‘llanmasi dastlabki so‘zlarga ko‘proq e’tibor beradi va asosiy obyekt hamda harakatni bezak detallaridan oldin qo‘yishni tavsiya qiladi. Tezkor g‘oyalar uchun 10–30, oddiy loyihalar uchun 30–80 so‘z, murakkab sahnalar uchun esa uzunroq tavsiflar taklif qilinadi. Bu oraliqlar matn konteksti chegarasi emas, topshiriq yozish tavsiyalaridir.\n\nMustaqil katalog topshirig‘ida iliq kulrang stol ustidagi jilvirlangan po‘lat chiroqni, tugma va qalpog‘i ko‘rinadigan uch chorak rakursda ko‘rsatish mumkin. Mahsulotni tanitadigan sirt, yoritish va ko‘rish nuqtasini belgilang. Infografika yoki marketing tasviri uchun avval ko‘rinadigan so‘zlar va iyerarxiyani hal qiling; aniq sarlavhani qo‘shtirnoqda yozing, joylashuvini, harflar uslubi va o‘lchamini ayting. Yorliqlar, miqdorlar va mahsulot detallarini yakuniy ko‘rsatish o‘lchamida tekshiring.\n\nOila qo‘llanmasi tabiiy tildagi va JSON tuzilmali topshiriqlarni hujjatlashtiradi. Tuzilmali sahna topshirig‘i obyekt, fon, yorug‘lik va kompozitsiyani alohida maydonlarda saqlab, bitta talabni aniq o‘zgartirishga imkon beradi. U hex rang tavsiflarini ham qo‘llaydi: kodni rang beriladigan aniq obyekt yoki matn bilan bog‘lang. Kerakli ko‘rinishni ijobiy ifodalang, chunki hujjatlashtirilgan FLUX.2 topshiriq jarayoni salbiy topshiriqlarni taqdim etmaydi.\n\n### Namunalar va umumiy piksel byudjeti bilan tahrirlang\n\nAynan [pro] so‘rov profili sakkizta namuna tasviri o‘rnini taklif qiladi; ishlab chiqaruvchining interaktiv interfeysi esa alohida ravishda o‘ntasini qo‘llaydi. Har bir tasvirga obyekt qiyofasi, kiyim, mahsulot dizayni, xona yoki uslub kabi vazifa bering. Mavjud sahnada o‘zgartiriladigan elementni, saqlanishi kerak bo‘lgan kompozitsiya, muhit va vizual detallarni ayting. E’lon qilingan misollarga mebel kompozitlari, fon yoki ob-havo almashishi, obyekt almashtirish va matnni tuzatish kiradi.\n\nNamuna sig‘imi natija o‘lchamiga ham bog‘liq. Ishlab chiqaruvchining [pro] qo‘llanmasi kirish va chiqish uchun jami 9 megapiksellik byudjetni belgilaydi. Misollarda 1 megapikselli natijada sakkizta, 2 megapikselli natijada yettita namuna mumkin; so‘ralgan tasvir kattalashgan sari namuna sig‘imi kamayadi. Eng ko‘p o‘rinlar soni har qanday natija o‘lchamida mavjud deb qarash o‘rniga manbalar to‘plami va natijani birgalikda rejalashtiring. Zarur ma’lumotni belgilaydigan namunalarni ishlating va ularning ko‘zlangan hissasini ayting.\n\nMahsulot kompozitida birinchi tasvir mahsulotni, ikkinchisi xonani, uchinchisi esa material qoplamasini berishi mumkin. Ular qanday qilib bitta yaxlit sahnaga aylanishini tushuntiring. Natija saqlanishi kerak bo‘lgan shakl, belgi yoki qiyofani o‘zgartirsa, butun topshiriqni almashtirish o‘rniga keyingi murojaatda aynan shu muammoni nishonga oling. Amaliy natija — namunalarga sodiqligi va aniq o‘zgarishi kirishlar bilan taqqoslangan qayta ishlangan tasvir.\n\n### Topshiriqni kengaytirish va o‘zgarmas hamda preview profillari\n\nAynan [pro] spetsifikatsiyasida topshiriqni kengaytirish odatda yoqilgan. Uning disable_pup boshqaruvi puxta yozilgan ko‘rsatma berilganicha ishlatilishi kerak bo‘lganda kengaytirishni to‘xtatadi. Variantlarni solishtirishda tanlangan sozlamani saqlang, chunki bir xil qisqa g‘oya va kengaytirilgan tavsif turli yaratish kirishlaridir. Bu ishlab chiqaruvchi profilining boshqaruvi bo‘lib, so‘ralgan har bir detal to‘g‘ri paydo bo‘lishiga kafolat emas.\n\nHujjatlar oddiy [pro] endpointini o‘zgarmas model nusxasi, [pro] Preview ni esa keyingi model yaxshilanishlari kiritiladigan profil deb ajratadi. So‘rov va javob tuzilmalari bir xil, asosiy vaznlari esa farq qiladi. Tanlangan aniq profilni tasvir va namunalar bilan birga saqlang. Tuzatish bir xil hujjatlashtirilgan model tanloviga bog‘liq bo‘lsa, alohida Preview belgisi oddiy [pro] tanlovini indamay almashtirmasligi kerak.\n\n### O‘lchamlar, formatlar va tanlangan material\n\nOila qo‘llanmasi 4 megapikselgacha natijani, kamida 64×64 va 16 ga karrali aniq o‘lchamlarni hujjatlashtiradi. Ko‘pchilik vazifalar uchun 2 megapikselgacha tavsiya qilinadi. Kenglik va balandlik kerakli kadr formatini belgilaydi; kvadrat mahsulot tasviri, vertikal maket va keng tahririy sahna joyni turlicha taqsimlaydi. Aynan shu so‘rov JPEG, PNG va WebP natijalarini, odatiy JPEG formatini va ixtiyoriy seed ni ko‘rsatadi.\n\n[max] profilida alohida qidiruvga tayangan yaratish imkoniyati bor; [flex] namuna olish qadamlari va guidance ni ochadi, [klein] esa kichikroq, to‘rt namunali profilga ega. Bu boshqaruvlarni [pro] ga ko‘chirish o‘rniga nashrni kerakli ishga qarab tanlang. Tanlangan material uchun haqiqiy tasvir, yakuniy topshiriq, namunalar, o‘lchamlar va model belgisini saqlang. Ishlab chiqaruvchining FLUX.2 imzolangan natija havolalari o‘n daqiqadan so‘ng tugaydi, shuning uchun vaqtinchalik manzilga tayanmasdan tasvirni oling. Natijani mijozga ko‘rinadigan materialga joylashtirishdan avval obyekt qiyofasi, ranglar, matn, kompozitsiya va tahrirlangan detallarni tekshiring.",
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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 Pro</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-pro</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-pro\">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 [pro] — Black Forest Labs’ning matndan tasvir yaratish va namunalar yordamida tahrirlashga mo‘ljallangan ishlab chiqarish modeli. Uning hujjatlashtirilgan profili fotorealistik detallar, matn va rang nazoratini namuna/natija piksellari byudjeti hamda 4 megapikselgacha tasvirlar 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 [pro] — Black Forest Labs’ning ishlab chiqarishga yo‘naltirilgan tasvir yaratish va tahrirlash modeli. Ishlab chiqaruvchi uni FLUX.2 dagi ko‘pchilik vizual vazifalar uchun asosiy tanlov sifatida taqdim etadi: matndan yangi tasvir yaratish yoki vizual namunalar yordamida sahnani qayta ishlash. Oila imkoniyatlari fotorealistik material va yoritish, o‘qiladigan matn, aniq rang ko‘rsatmalari hamda bog‘liq tahrirlarda obyektlarning izchilligini qamrab oladi. Qaytariladigan artefakt — mahsulot sahnasi, tahririy kompozitsiya, dizayn g‘oyasi yoki vizual xabarda ishlatiladigan tasvir.</p><h4>Ishlab chiqarish topshirig‘ini tayyorlang</h4><p>Asosiy obyekt, uning harakati yoki joylashuvi, uslub hamda muhit yoki yorug‘likdan boshlang. Ishlab chiqaruvchining topshiriq qo‘llanmasi dastlabki so‘zlarga ko‘proq e’tibor beradi va asosiy obyekt hamda harakatni bezak detallaridan oldin qo‘yishni tavsiya qiladi. Tezkor g‘oyalar uchun 10–30, oddiy loyihalar uchun 30–80 so‘z, murakkab sahnalar uchun esa uzunroq tavsiflar taklif qilinadi. Bu oraliqlar matn konteksti chegarasi emas, topshiriq yozish tavsiyalaridir.</p><p>Mustaqil katalog topshirig‘ida iliq kulrang stol ustidagi jilvirlangan po‘lat chiroqni, tugma va qalpog‘i ko‘rinadigan uch chorak rakursda ko‘rsatish mumkin. Mahsulotni tanitadigan sirt, yoritish va ko‘rish nuqtasini belgilang. Infografika yoki marketing tasviri uchun avval ko‘rinadigan so‘zlar va iyerarxiyani hal qiling; aniq sarlavhani qo‘shtirnoqda yozing, joylashuvini, harflar uslubi va o‘lchamini ayting. Yorliqlar, miqdorlar va mahsulot detallarini yakuniy ko‘rsatish o‘lchamida tekshiring.</p><p>Oila qo‘llanmasi tabiiy tildagi va JSON tuzilmali topshiriqlarni hujjatlashtiradi. Tuzilmali sahna topshirig‘i obyekt, fon, yorug‘lik va kompozitsiyani alohida maydonlarda saqlab, bitta talabni aniq o‘zgartirishga imkon beradi. U hex rang tavsiflarini ham qo‘llaydi: kodni rang beriladigan aniq obyekt yoki matn bilan bog‘lang. Kerakli ko‘rinishni ijobiy ifodalang, chunki hujjatlashtirilgan FLUX.2 topshiriq jarayoni salbiy topshiriqlarni taqdim etmaydi.</p><h4>Namunalar va umumiy piksel byudjeti bilan tahrirlang</h4><p>Aynan [pro] so‘rov profili sakkizta namuna tasviri o‘rnini taklif qiladi; ishlab chiqaruvchining interaktiv interfeysi esa alohida ravishda o‘ntasini qo‘llaydi. Har bir tasvirga obyekt qiyofasi, kiyim, mahsulot dizayni, xona yoki uslub kabi vazifa bering. Mavjud sahnada o‘zgartiriladigan elementni, saqlanishi kerak bo‘lgan kompozitsiya, muhit va vizual detallarni ayting. E’lon qilingan misollarga mebel kompozitlari, fon yoki ob-havo almashishi, obyekt almashtirish va matnni tuzatish kiradi.</p><p>Namuna sig‘imi natija o‘lchamiga ham bog‘liq. Ishlab chiqaruvchining [pro] qo‘llanmasi kirish va chiqish uchun jami 9 megapiksellik byudjetni belgilaydi. Misollarda 1 megapikselli natijada sakkizta, 2 megapikselli natijada yettita namuna mumkin; so‘ralgan tasvir kattalashgan sari namuna sig‘imi kamayadi. Eng ko‘p o‘rinlar soni har qanday natija o‘lchamida mavjud deb qarash o‘rniga manbalar to‘plami va natijani birgalikda rejalashtiring. Zarur ma’lumotni belgilaydigan namunalarni ishlating va ularning ko‘zlangan hissasini ayting.</p><p>Mahsulot kompozitida birinchi tasvir mahsulotni, ikkinchisi xonani, uchinchisi esa material qoplamasini berishi mumkin. Ular qanday qilib bitta yaxlit sahnaga aylanishini tushuntiring. Natija saqlanishi kerak bo‘lgan shakl, belgi yoki qiyofani o‘zgartirsa, butun topshiriqni almashtirish o‘rniga keyingi murojaatda aynan shu muammoni nishonga oling. Amaliy natija — namunalarga sodiqligi va aniq o‘zgarishi kirishlar bilan taqqoslangan qayta ishlangan tasvir.</p><h4>Topshiriqni kengaytirish va o‘zgarmas hamda preview profillari</h4><p>Aynan [pro] spetsifikatsiyasida topshiriqni kengaytirish odatda yoqilgan. Uning disable_pup boshqaruvi puxta yozilgan ko‘rsatma berilganicha ishlatilishi kerak bo‘lganda kengaytirishni to‘xtatadi. Variantlarni solishtirishda tanlangan sozlamani saqlang, chunki bir xil qisqa g‘oya va kengaytirilgan tavsif turli yaratish kirishlaridir. Bu ishlab chiqaruvchi profilining boshqaruvi bo‘lib, so‘ralgan har bir detal to‘g‘ri paydo bo‘lishiga kafolat emas.</p><p>Hujjatlar oddiy [pro] endpointini o‘zgarmas model nusxasi, [pro] Preview ni esa keyingi model yaxshilanishlari kiritiladigan profil deb ajratadi. So‘rov va javob tuzilmalari bir xil, asosiy vaznlari esa farq qiladi. Tanlangan aniq profilni tasvir va namunalar bilan birga saqlang. Tuzatish bir xil hujjatlashtirilgan model tanloviga bog‘liq bo‘lsa, alohida Preview belgisi oddiy [pro] tanlovini indamay almashtirmasligi kerak.</p><h4>O‘lchamlar, formatlar va tanlangan material</h4><p>Oila qo‘llanmasi 4 megapikselgacha natijani, kamida 64×64 va 16 ga karrali aniq o‘lchamlarni hujjatlashtiradi. Ko‘pchilik vazifalar uchun 2 megapikselgacha tavsiya qilinadi. Kenglik va balandlik kerakli kadr formatini belgilaydi; kvadrat mahsulot tasviri, vertikal maket va keng tahririy sahna joyni turlicha taqsimlaydi. Aynan shu so‘rov JPEG, PNG va WebP natijalarini, odatiy JPEG formatini va ixtiyoriy seed ni ko‘rsatadi.</p><p>[max] profilida alohida qidiruvga tayangan yaratish imkoniyati bor; [flex] namuna olish qadamlari va guidance ni ochadi, [klein] esa kichikroq, to‘rt namunali profilga ega. Bu boshqaruvlarni [pro] ga ko‘chirish o‘rniga nashrni kerakli ishga qarab tanlang. Tanlangan material uchun haqiqiy tasvir, yakuniy topshiriq, namunalar, o‘lchamlar va model belgisini saqlang. Ishlab chiqaruvchining FLUX.2 imzolangan natija havolalari o‘n daqiqadan so‘ng tugaydi, shuning uchun vaqtinchalik manzilga tayanmasdan tasvirni oling. Natijani mijozga ko‘rinadigan materialga joylashtirishdan avval obyekt qiyofasi, ranglar, matn, kompozitsiya va tahrirlangan detallarni tekshiring.</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-pro</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>$0.06</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>$0.06</b> <span class=\"price-unit\">yaratishdan oldingi taxmin</span></div><p class=\"note-s\">Bu taxmin qo‘shimcha to‘lov ham, tugallangan generatsiya uchun qat’iy tarif ham emas.</p></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot so‘rovdan oldin taxminiy summani band qiladi. Natijadan keyin o‘lchangan sarf asosidagi yakuniy to‘lovni yechadi. Oqimli javob bo‘yicha yakuniy hisob-kitob yakuniy sarf yozuviga asoslanadi. <a href=\"/docs/uz/billing/reserve/\">Summani band qilish va to‘lovni hisoblash tartibi →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">So‘rov namunalari</h3><h4>Ailoot Ultra · Rasmlar</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Kod variantlari\"><button class=\"cg-tab\" id=\"model-code-1105-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1105-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Kodni nusxalash\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-1105-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1105-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${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-pro&#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-1106-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1106-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-1106-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1106-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-pro&amp;route=Ultra&amp;caller=black-forest-labs%2Fflux.2-pro&amp;fmt=images\"><code>black-forest-labs/flux.2-pro</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-pro&amp;route=Ultra&amp;caller=black-forest-labs%2Fflux.2-pro&amp;fmt=images\"><code>black-forest-labs/flux.2-pro</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "black-forest-labs/flux.2-pro",
        "fmt": "images",
        "http": "POST",
        "path": "/v1/images/generations",
        "request_model_id": "black-forest-labs/flux.2-pro",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|images|/v1/images/generations|black-forest-labs%2Fflux.2-pro",
      "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-pro"
                ],
                "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-pro"
                  ],
                  "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-pro",
                "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": "0.06",
                "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": "0.06",
                "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": "0.06",
                "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": "0.06",
                "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-pro', '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",
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            "dimensions": {
              "quoted_unit": "per output image megapixel"
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                "unit": "request_estimate"
              }
            ]
          }
        ],
        "request_model_id": "black-forest-labs/flux.2-pro",
        "route_label": "Ultra",
        "status_reads": [
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        "tiers": [],
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            "amount": null,
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            "label": "output image megapixel",
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            "native_amount_usd_per_unit": "0.06",
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  "nativeProvenance": {
    "input_facts_canonical_sha256": "07c4ab9967aaa41c9351b6f5a46daf1aee3a688bb4b8877769437d4b97831d06",
    "input_html_sha256": "6b45efcc6c3c884f05820f97dae070ce98d9943b5cf4fbd962e37c3618d14f0d",
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  "page": {
    "canonical": "https://ailoot.ai/models/uz/black-forest-labs-flux-2-pro/",
    "description": "FLUX.2 [pro] — Black Forest Labs’ning matndan tasvir yaratish va namunalar yordamida tahrirlashga mo‘ljallangan ishlab chiqarish modeli. Uning hujjatlashtirilgan profili fotorealistik detallar, matn va rang nazoratini namuna/natija piksellari byudjeti hamda 4 megapikselgacha tasvirlar bilan birlashtiradi.",
    "locale": "uz",
    "md_url": "https://ailoot.ai/models/uz/black-forest-labs-flux-2-pro/index.md",
    "title": "Black Forest Labs: FLUX.2 Pro — Ailoot",
    "url": "https://ailoot.ai/models/uz/black-forest-labs-flux-2-pro/"
  },
  "rawModel": {
    "about": "FLUX.2 [pro] — Black Forest Labs’ning ishlab chiqarishga yo‘naltirilgan tasvir yaratish va tahrirlash modeli. Ishlab chiqaruvchi uni FLUX.2 dagi ko‘pchilik vizual vazifalar uchun asosiy tanlov sifatida taqdim etadi: matndan yangi tasvir yaratish yoki vizual namunalar yordamida sahnani qayta ishlash. Oila imkoniyatlari fotorealistik material va yoritish, o‘qiladigan matn, aniq rang ko‘rsatmalari hamda bog‘liq tahrirlarda obyektlarning izchilligini qamrab oladi. Qaytariladigan artefakt — mahsulot sahnasi, tahririy kompozitsiya, dizayn g‘oyasi yoki vizual xabarda ishlatiladigan tasvir.\n\n### Ishlab chiqarish topshirig‘ini tayyorlang\n\nAsosiy obyekt, uning harakati yoki joylashuvi, uslub hamda muhit yoki yorug‘likdan boshlang. Ishlab chiqaruvchining topshiriq qo‘llanmasi dastlabki so‘zlarga ko‘proq e’tibor beradi va asosiy obyekt hamda harakatni bezak detallaridan oldin qo‘yishni tavsiya qiladi. Tezkor g‘oyalar uchun 10–30, oddiy loyihalar uchun 30–80 so‘z, murakkab sahnalar uchun esa uzunroq tavsiflar taklif qilinadi. Bu oraliqlar matn konteksti chegarasi emas, topshiriq yozish tavsiyalaridir.\n\nMustaqil katalog topshirig‘ida iliq kulrang stol ustidagi jilvirlangan po‘lat chiroqni, tugma va qalpog‘i ko‘rinadigan uch chorak rakursda ko‘rsatish mumkin. Mahsulotni tanitadigan sirt, yoritish va ko‘rish nuqtasini belgilang. Infografika yoki marketing tasviri uchun avval ko‘rinadigan so‘zlar va iyerarxiyani hal qiling; aniq sarlavhani qo‘shtirnoqda yozing, joylashuvini, harflar uslubi va o‘lchamini ayting. Yorliqlar, miqdorlar va mahsulot detallarini yakuniy ko‘rsatish o‘lchamida tekshiring.\n\nOila qo‘llanmasi tabiiy tildagi va JSON tuzilmali topshiriqlarni hujjatlashtiradi. Tuzilmali sahna topshirig‘i obyekt, fon, yorug‘lik va kompozitsiyani alohida maydonlarda saqlab, bitta talabni aniq o‘zgartirishga imkon beradi. U hex rang tavsiflarini ham qo‘llaydi: kodni rang beriladigan aniq obyekt yoki matn bilan bog‘lang. Kerakli ko‘rinishni ijobiy ifodalang, chunki hujjatlashtirilgan FLUX.2 topshiriq jarayoni salbiy topshiriqlarni taqdim etmaydi.\n\n### Namunalar va umumiy piksel byudjeti bilan tahrirlang\n\nAynan [pro] so‘rov profili sakkizta namuna tasviri o‘rnini taklif qiladi; ishlab chiqaruvchining interaktiv interfeysi esa alohida ravishda o‘ntasini qo‘llaydi. Har bir tasvirga obyekt qiyofasi, kiyim, mahsulot dizayni, xona yoki uslub kabi vazifa bering. Mavjud sahnada o‘zgartiriladigan elementni, saqlanishi kerak bo‘lgan kompozitsiya, muhit va vizual detallarni ayting. E’lon qilingan misollarga mebel kompozitlari, fon yoki ob-havo almashishi, obyekt almashtirish va matnni tuzatish kiradi.\n\nNamuna sig‘imi natija o‘lchamiga ham bog‘liq. Ishlab chiqaruvchining [pro] qo‘llanmasi kirish va chiqish uchun jami 9 megapiksellik byudjetni belgilaydi. Misollarda 1 megapikselli natijada sakkizta, 2 megapikselli natijada yettita namuna mumkin; so‘ralgan tasvir kattalashgan sari namuna sig‘imi kamayadi. Eng ko‘p o‘rinlar soni har qanday natija o‘lchamida mavjud deb qarash o‘rniga manbalar to‘plami va natijani birgalikda rejalashtiring. Zarur ma’lumotni belgilaydigan namunalarni ishlating va ularning ko‘zlangan hissasini ayting.\n\nMahsulot kompozitida birinchi tasvir mahsulotni, ikkinchisi xonani, uchinchisi esa material qoplamasini berishi mumkin. Ular qanday qilib bitta yaxlit sahnaga aylanishini tushuntiring. Natija saqlanishi kerak bo‘lgan shakl, belgi yoki qiyofani o‘zgartirsa, butun topshiriqni almashtirish o‘rniga keyingi murojaatda aynan shu muammoni nishonga oling. Amaliy natija — namunalarga sodiqligi va aniq o‘zgarishi kirishlar bilan taqqoslangan qayta ishlangan tasvir.\n\n### Topshiriqni kengaytirish va o‘zgarmas hamda preview profillari\n\nAynan [pro] spetsifikatsiyasida topshiriqni kengaytirish odatda yoqilgan. Uning disable_pup boshqaruvi puxta yozilgan ko‘rsatma berilganicha ishlatilishi kerak bo‘lganda kengaytirishni to‘xtatadi. Variantlarni solishtirishda tanlangan sozlamani saqlang, chunki bir xil qisqa g‘oya va kengaytirilgan tavsif turli yaratish kirishlaridir. Bu ishlab chiqaruvchi profilining boshqaruvi bo‘lib, so‘ralgan har bir detal to‘g‘ri paydo bo‘lishiga kafolat emas.\n\nHujjatlar oddiy [pro] endpointini o‘zgarmas model nusxasi, [pro] Preview ni esa keyingi model yaxshilanishlari kiritiladigan profil deb ajratadi. So‘rov va javob tuzilmalari bir xil, asosiy vaznlari esa farq qiladi. Tanlangan aniq profilni tasvir va namunalar bilan birga saqlang. Tuzatish bir xil hujjatlashtirilgan model tanloviga bog‘liq bo‘lsa, alohida Preview belgisi oddiy [pro] tanlovini indamay almashtirmasligi kerak.\n\n### O‘lchamlar, formatlar va tanlangan material\n\nOila qo‘llanmasi 4 megapikselgacha natijani, kamida 64×64 va 16 ga karrali aniq o‘lchamlarni hujjatlashtiradi. Ko‘pchilik vazifalar uchun 2 megapikselgacha tavsiya qilinadi. Kenglik va balandlik kerakli kadr formatini belgilaydi; kvadrat mahsulot tasviri, vertikal maket va keng tahririy sahna joyni turlicha taqsimlaydi. Aynan shu so‘rov JPEG, PNG va WebP natijalarini, odatiy JPEG formatini va ixtiyoriy seed ni ko‘rsatadi.\n\n[max] profilida alohida qidiruvga tayangan yaratish imkoniyati bor; [flex] namuna olish qadamlari va guidance ni ochadi, [klein] esa kichikroq, to‘rt namunali profilga ega. Bu boshqaruvlarni [pro] ga ko‘chirish o‘rniga nashrni kerakli ishga qarab tanlang. Tanlangan material uchun haqiqiy tasvir, yakuniy topshiriq, namunalar, o‘lchamlar va model belgisini saqlang. Ishlab chiqaruvchining FLUX.2 imzolangan natija havolalari o‘n daqiqadan so‘ng tugaydi, shuning uchun vaqtinchalik manzilga tayanmasdan tasvirni oling. Natijani mijozga ko‘rinadigan materialga joylashtirishdan avval obyekt qiyofasi, ranglar, matn, kompozitsiya va tahrirlangan detallarni tekshiring.",
    "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": "0.06",
            "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": "0.06",
            "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-pro",
    "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-pro"
                ],
                "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-pro"
                  ],
                  "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-pro",
                "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": "0.06",
                "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": "0.06",
                "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": "0.06",
                "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": "0.06",
                "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-pro', '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": "0.06",
                "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": "0.06",
                "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": "0.06",
                "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": "0.06",
                "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-pro",
        "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": "0.06",
            "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": "0.06",
            "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": "0.06",
            "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": "0.06",
            "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-pro",
        "request_model_id": "black-forest-labs/flux.2-pro",
        "route_label": "Ultra"
      }
    ],
    "name": "Black Forest Labs: FLUX.2 Pro",
    "price": {
      "estimate_only": true,
      "in": null,
      "in_label": null,
      "out": 0.06,
      "out_label": "estimate before generation",
      "scope_label": "Estimated generation cost",
      "sort_in": null,
      "sort_out": 0.06,
      "varies": false
    },
    "short": "FLUX.2 [pro] — Black Forest Labs’ning matndan tasvir yaratish va namunalar yordamida tahrirlashga mo‘ljallangan ishlab chiqarish modeli. Uning hujjatlashtirilgan profili fotorealistik detallar, matn va rang nazoratini namuna/natija piksellari byudjeti hamda 4 megapikselgacha tasvirlar 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 [pro] — Black Forest Labs’ning matndan tasvir yaratish va namunalar yordamida tahrirlashga mo‘ljallangan ishlab chiqarish modeli. Uning hujjatlashtirilgan profili fotorealistik detallar, matn va rang nazoratini namuna/natija piksellari byudjeti hamda 4 megapikselgacha tasvirlar bilan birlashtiradi.",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "99d1dc645f806b998bea437c00b86fb3f296971d9214edb05bf3eff8769f8f3c",
    "renderer_sha256": "aa8a0fca1bd770c042b64987512b6187fca2067aea3ddc877f68b163d80e7df6"
  },
  "sourceRevision": "24b7ee4733906008c14e2f270a1ca6411657fd5f5deea1a55c90342e8e337e35"
}