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  "aboutHtml": "<p>FLUX.2 [flex] — Black Forest Labs’ning tipografiya, matnni tasvirlash va mayda detallarni saqlashga ixtisoslashgan tasvir yaratish hamda tahrirlash nashri. U yozma sahna ko‘rsatmalari va tasvir namunalaridan tasvir hosil qiladi. Uning asosiy boshqaruvi — sozlanadigan namuna olish: hujjatlashtirilgan profil inferens qadamlari va guidance ni ochib, vizual topshiriqni so‘zlar bilan birga sozlamalar orqali ham aniqlashtirishga imkon beradi.</p><h4>Yozuv va nozik detallar</h4><p>Tipografiya vazifasi haqiqiy matndan boshlanishi kerak. Har bir satrni qo‘shtirnoqda bering, qayerda turishini belgilang va sarlavha, yordamchi matn hamda yorliqni ajrating. Harflar uslubi, ko‘lami va rangini sahnaga bog‘lab tasvirlang. Mustaqil plakat topshirig‘ida och tusli studiyada kobalt-ko‘k velosiped, uning ramasidan yuqorida katta sarlavha va pastida kichikroq xususiyatlar satri ko‘rsatilishi mumkin. Tasvir mahsulotni ham, o‘qish tartibini ham birgalikda ravshan qilishi kerak.</p><p>Batafsil mahsulot vizualida natijaning foydaliligini belgilaydigan qismlarni aniqlang: siferblat, boshqaruv yorlig‘i, chok, material qirrasi yoki qadoq belgisi. Tiniq namuna bering va u qaysi xususiyatni belgilashini tushuntiring. Umuman o‘xshash sahna ham muhim belgi yoki komponentni o‘zgartirishi mumkin, shuning uchun yaratilgan detalni mo‘ljallangan ko‘rsatish o‘lchamida solishtiring. Model ixtisosligi aniq talablar berish uchun sababdir; u matnni tekshirish yoki tasvirni ko‘rish keraksiz bo‘lishiga kafolat bermaydi.</p><h4>Qadamlar va guidance turli vazifalarni bajaradi</h4><p>Ishlab chiqaruvchining aniq profili birdan elliktagacha inferens qadamini qabul qiladi; standart qiymat ellik. Tavsifida ko‘proq qadam kattaroq tafsilot va realizm bilan bog‘lanadi. Guidance 1.5 dan 10 gacha, standart qiymati 5. Yuqoriroq guidance topshiriqqa rioyani kuchaytiradi, biroq realizmni kamaytirishi mumkin. Shu sabab aniq dizayn ko‘rsatmalariga ega tasvir va tabiiy fotografik ko‘rinishni ko‘zlagan tasvir mazkur profil ichida turli tanlovlarni talab qilishi mumkin.</p><p>Sozlama o‘zgarishini taqqoslashda so‘zlar, namunalar va natija formatini o‘zgartirmang. O‘zgarishga sabab bo‘lgan xususiyatga qarang: harf shakllari, obyekt joylashuvi yoki material teksturasi. Katta son o‘z-o‘zidan yaxshiroq deb qarash o‘rniga sozlamani aniq vizual sabab bilan o‘zgartiring. Bular ishlab chiqaruvchining namuna olish boshqaruvlaridir; to‘rt qadamli distillatsiyalangan [klein] profili va [pro] yoki [max] standart boshqaruvlari boshqa model tanlovlaridir.</p><p>[flex] spetsifikatsiyasida topshiriqni kengaytirish odatda yoqilgan va uni o‘zining prompt_upsampling boshqaruvi orqali o‘chirish mumkin. Bu kerak bo‘lganda batafsil topshiriqni berilgan matnicha saqlaydi. Ishlab chiqaruvchining umumiy qo‘llanmasi asosiy obyekt va muhim harakatni ikkinchi darajali bezakdan oldin qo‘yishni tavsiya qiladi hamda tabiiy til topshiriqlari bilan birga JSON tuzilmali topshiriqlarni tasvirlaydi. Kerakli munosabatlarni eng oson belgilaydigan tuzilmani ishlating.</p><h4>Namunaga asoslangan tuzatishlar</h4><p>Aniq so‘rov profilida sakkizta namuna tasviri o‘rni mavjud. Ishlab chiqaruvchining interaktiv jarayoni alohida ravishda o‘ntagacha tasvirga ruxsat beradi; bu sonlar turli interfeyslarni tavsiflaydi. Tasvir tahrirlanadigan sahna, mahsulot, qahramon, kiyim yoki uslubni berishini belgilang. Tuzatishda obyekt va o‘zgarishni aniqlang, keyin saqlanishi kerak bo‘lgan atrof kompozitsiyasi, materiallar yoki yorug‘likni ayting.</p><p>Mustaqil qadoqlash vazifasida birinchi tasvirdagi quti va ikkinchisidagi qoplamadan foydalanish, old yorliqni tasdiqlangan so‘zlarga almashtirish hamda quti nisbatlarini saqlash mumkin. Guruh kompozitsiyasi har bir obyektga alohida namuna biriktirishi va shu biriktirishlarni izchil saqlashi mumkin. Oila misollari obyekt va fon o‘zgarishlari, kompozit yaratish, matn tahrirlari va uslub o‘zgartirishni qamrab oladi. Aniq maqsadli bitta yaxlit tuzatishni so‘rang, keyin tahrirlangan hududni ham, barqaror qolishi kerak bo‘lgan qismlarni ham solishtiring.</p><h4>O‘lcham, rang va qaytgan tasvir</h4><p>FLUX.2 qo‘llanmasi kamida 64×64 piksel, 16 ga karrali o‘lchamlar va 4 megapikselgacha natijani hujjatlashtiradi; oddiy foydalanish uchun 2 megapikselgacha tavsiya etiladi. Aynan [flex] spetsifikatsiyasi JPEG, PNG va WebP ni, standart sifatida JPEG ni ko‘rsatadi. Unda ixtiyoriy tasodifiy seed ham bor. Variantlarni taqqoslashda haqiqiy model, seed va namuna olish sozlamalarini manba namunalari bilan saqlang; faqat oila nomi yaratish konfiguratsiyasini to‘liq belgilamaydi.</p><p>Rangga sezgir ishda har bir hex kodni nomlangan obyekt yoki matn elementi bilan bog‘lang. Kompozitsiya uchun kerakli tomonlar nisbatini tasvir o‘lchamlari orqali belgilang va o‘qiladigan yozuvga yetarli joy qoldiring. Umumiy qo‘llanmada salbiy topshiriq mexanizmi yo‘q, shuning uchun kerakli ko‘rinishni ijobiy tasvirlang: aniq fokus, toza fon yoki matn uchun ravshan bo‘sh hudud. Uning ko‘p tilli misollari qat’iy tillar sonini kafolatlamasdan, madaniy o‘ziga xos topshiriqni tegishli tilda yozishni qo‘llab-quvvatlaydi.</p><p>Ishlab chiqaruvchining FLUX.2 jarayoni ishlovdan keyin tasvir qaytaradi va o‘n daqiqalik olish muddatiga ega vaqtinchalik imzolangan havolalardan foydalanadi. Haqiqiy tasvir va topshiriqni birga saqlang. Materialni maketga joylashtirishdan avval tipografiya, mayda detallar, namuna qiyofasi va vizual ishlovni tekshiring. Yakuniy yetkaziladigan material keyingi tuzatish uchun aniq sozlamalari saqlangan tanlangan plakat, mahsulot tasviri yoki tahrirlangan kompozitsiya bo‘lishi mumkin.</p>",
  "aboutText": "FLUX.2 [flex] — Black Forest Labs’ning tipografiya, matnni tasvirlash va mayda detallarni saqlashga ixtisoslashgan tasvir yaratish hamda tahrirlash nashri. U yozma sahna ko‘rsatmalari va tasvir namunalaridan tasvir hosil qiladi. Uning asosiy boshqaruvi — sozlanadigan namuna olish: hujjatlashtirilgan profil inferens qadamlari va guidance ni ochib, vizual topshiriqni so‘zlar bilan birga sozlamalar orqali ham aniqlashtirishga imkon beradi.\n\n### Yozuv va nozik detallar\n\nTipografiya vazifasi haqiqiy matndan boshlanishi kerak. Har bir satrni qo‘shtirnoqda bering, qayerda turishini belgilang va sarlavha, yordamchi matn hamda yorliqni ajrating. Harflar uslubi, ko‘lami va rangini sahnaga bog‘lab tasvirlang. Mustaqil plakat topshirig‘ida och tusli studiyada kobalt-ko‘k velosiped, uning ramasidan yuqorida katta sarlavha va pastida kichikroq xususiyatlar satri ko‘rsatilishi mumkin. Tasvir mahsulotni ham, o‘qish tartibini ham birgalikda ravshan qilishi kerak.\n\nBatafsil mahsulot vizualida natijaning foydaliligini belgilaydigan qismlarni aniqlang: siferblat, boshqaruv yorlig‘i, chok, material qirrasi yoki qadoq belgisi. Tiniq namuna bering va u qaysi xususiyatni belgilashini tushuntiring. Umuman o‘xshash sahna ham muhim belgi yoki komponentni o‘zgartirishi mumkin, shuning uchun yaratilgan detalni mo‘ljallangan ko‘rsatish o‘lchamida solishtiring. Model ixtisosligi aniq talablar berish uchun sababdir; u matnni tekshirish yoki tasvirni ko‘rish keraksiz bo‘lishiga kafolat bermaydi.\n\n### Qadamlar va guidance turli vazifalarni bajaradi\n\nIshlab chiqaruvchining aniq profili birdan elliktagacha inferens qadamini qabul qiladi; standart qiymat ellik. Tavsifida ko‘proq qadam kattaroq tafsilot va realizm bilan bog‘lanadi. Guidance 1.5 dan 10 gacha, standart qiymati 5. Yuqoriroq guidance topshiriqqa rioyani kuchaytiradi, biroq realizmni kamaytirishi mumkin. Shu sabab aniq dizayn ko‘rsatmalariga ega tasvir va tabiiy fotografik ko‘rinishni ko‘zlagan tasvir mazkur profil ichida turli tanlovlarni talab qilishi mumkin.\n\nSozlama o‘zgarishini taqqoslashda so‘zlar, namunalar va natija formatini o‘zgartirmang. O‘zgarishga sabab bo‘lgan xususiyatga qarang: harf shakllari, obyekt joylashuvi yoki material teksturasi. Katta son o‘z-o‘zidan yaxshiroq deb qarash o‘rniga sozlamani aniq vizual sabab bilan o‘zgartiring. Bular ishlab chiqaruvchining namuna olish boshqaruvlaridir; to‘rt qadamli distillatsiyalangan [klein] profili va [pro] yoki [max] standart boshqaruvlari boshqa model tanlovlaridir.\n\n[flex] spetsifikatsiyasida topshiriqni kengaytirish odatda yoqilgan va uni o‘zining prompt_upsampling boshqaruvi orqali o‘chirish mumkin. Bu kerak bo‘lganda batafsil topshiriqni berilgan matnicha saqlaydi. Ishlab chiqaruvchining umumiy qo‘llanmasi asosiy obyekt va muhim harakatni ikkinchi darajali bezakdan oldin qo‘yishni tavsiya qiladi hamda tabiiy til topshiriqlari bilan birga JSON tuzilmali topshiriqlarni tasvirlaydi. Kerakli munosabatlarni eng oson belgilaydigan tuzilmani ishlating.\n\n### Namunaga asoslangan tuzatishlar\n\nAniq so‘rov profilida sakkizta namuna tasviri o‘rni mavjud. Ishlab chiqaruvchining interaktiv jarayoni alohida ravishda o‘ntagacha tasvirga ruxsat beradi; bu sonlar turli interfeyslarni tavsiflaydi. Tasvir tahrirlanadigan sahna, mahsulot, qahramon, kiyim yoki uslubni berishini belgilang. Tuzatishda obyekt va o‘zgarishni aniqlang, keyin saqlanishi kerak bo‘lgan atrof kompozitsiyasi, materiallar yoki yorug‘likni ayting.\n\nMustaqil qadoqlash vazifasida birinchi tasvirdagi quti va ikkinchisidagi qoplamadan foydalanish, old yorliqni tasdiqlangan so‘zlarga almashtirish hamda quti nisbatlarini saqlash mumkin. Guruh kompozitsiyasi har bir obyektga alohida namuna biriktirishi va shu biriktirishlarni izchil saqlashi mumkin. Oila misollari obyekt va fon o‘zgarishlari, kompozit yaratish, matn tahrirlari va uslub o‘zgartirishni qamrab oladi. Aniq maqsadli bitta yaxlit tuzatishni so‘rang, keyin tahrirlangan hududni ham, barqaror qolishi kerak bo‘lgan qismlarni ham solishtiring.\n\n### O‘lcham, rang va qaytgan tasvir\n\nFLUX.2 qo‘llanmasi kamida 64×64 piksel, 16 ga karrali o‘lchamlar va 4 megapikselgacha natijani hujjatlashtiradi; oddiy foydalanish uchun 2 megapikselgacha tavsiya etiladi. Aynan [flex] spetsifikatsiyasi JPEG, PNG va WebP ni, standart sifatida JPEG ni ko‘rsatadi. Unda ixtiyoriy tasodifiy seed ham bor. Variantlarni taqqoslashda haqiqiy model, seed va namuna olish sozlamalarini manba namunalari bilan saqlang; faqat oila nomi yaratish konfiguratsiyasini to‘liq belgilamaydi.\n\nRangga sezgir ishda har bir hex kodni nomlangan obyekt yoki matn elementi bilan bog‘lang. Kompozitsiya uchun kerakli tomonlar nisbatini tasvir o‘lchamlari orqali belgilang va o‘qiladigan yozuvga yetarli joy qoldiring. Umumiy qo‘llanmada salbiy topshiriq mexanizmi yo‘q, shuning uchun kerakli ko‘rinishni ijobiy tasvirlang: aniq fokus, toza fon yoki matn uchun ravshan bo‘sh hudud. Uning ko‘p tilli misollari qat’iy tillar sonini kafolatlamasdan, madaniy o‘ziga xos topshiriqni tegishli tilda yozishni qo‘llab-quvvatlaydi.\n\nIshlab chiqaruvchining FLUX.2 jarayoni ishlovdan keyin tasvir qaytaradi va o‘n daqiqalik olish muddatiga ega vaqtinchalik imzolangan havolalardan foydalanadi. Haqiqiy tasvir va topshiriqni birga saqlang. Materialni maketga joylashtirishdan avval tipografiya, mayda detallar, namuna qiyofasi va vizual ishlovni tekshiring. Yakuniy yetkaziladigan material keyingi tuzatish uchun aniq sozlamalari saqlangan tanlangan plakat, mahsulot tasviri yoki tahrirlangan kompozitsiya bo‘lishi mumkin.",
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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 Flex</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-flex</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-flex\">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 [flex] sozlanadigan namuna olish qadamlari va guidance bilan tasvir tipografiyasi hamda mayda vizual detallarga ixtisoslashgan. Topshiriqqa rioya qilish va realizm o‘rtasida muvozanat tanlab, plakatlar, mahsulot maketlari yoki aniq tuzatishlar uchun matn va tasvir namunalaridan foydalaning.</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 [flex] — Black Forest Labs’ning tipografiya, matnni tasvirlash va mayda detallarni saqlashga ixtisoslashgan tasvir yaratish hamda tahrirlash nashri. U yozma sahna ko‘rsatmalari va tasvir namunalaridan tasvir hosil qiladi. Uning asosiy boshqaruvi — sozlanadigan namuna olish: hujjatlashtirilgan profil inferens qadamlari va guidance ni ochib, vizual topshiriqni so‘zlar bilan birga sozlamalar orqali ham aniqlashtirishga imkon beradi.</p><h4>Yozuv va nozik detallar</h4><p>Tipografiya vazifasi haqiqiy matndan boshlanishi kerak. Har bir satrni qo‘shtirnoqda bering, qayerda turishini belgilang va sarlavha, yordamchi matn hamda yorliqni ajrating. Harflar uslubi, ko‘lami va rangini sahnaga bog‘lab tasvirlang. Mustaqil plakat topshirig‘ida och tusli studiyada kobalt-ko‘k velosiped, uning ramasidan yuqorida katta sarlavha va pastida kichikroq xususiyatlar satri ko‘rsatilishi mumkin. Tasvir mahsulotni ham, o‘qish tartibini ham birgalikda ravshan qilishi kerak.</p><p>Batafsil mahsulot vizualida natijaning foydaliligini belgilaydigan qismlarni aniqlang: siferblat, boshqaruv yorlig‘i, chok, material qirrasi yoki qadoq belgisi. Tiniq namuna bering va u qaysi xususiyatni belgilashini tushuntiring. Umuman o‘xshash sahna ham muhim belgi yoki komponentni o‘zgartirishi mumkin, shuning uchun yaratilgan detalni mo‘ljallangan ko‘rsatish o‘lchamida solishtiring. Model ixtisosligi aniq talablar berish uchun sababdir; u matnni tekshirish yoki tasvirni ko‘rish keraksiz bo‘lishiga kafolat bermaydi.</p><h4>Qadamlar va guidance turli vazifalarni bajaradi</h4><p>Ishlab chiqaruvchining aniq profili birdan elliktagacha inferens qadamini qabul qiladi; standart qiymat ellik. Tavsifida ko‘proq qadam kattaroq tafsilot va realizm bilan bog‘lanadi. Guidance 1.5 dan 10 gacha, standart qiymati 5. Yuqoriroq guidance topshiriqqa rioyani kuchaytiradi, biroq realizmni kamaytirishi mumkin. Shu sabab aniq dizayn ko‘rsatmalariga ega tasvir va tabiiy fotografik ko‘rinishni ko‘zlagan tasvir mazkur profil ichida turli tanlovlarni talab qilishi mumkin.</p><p>Sozlama o‘zgarishini taqqoslashda so‘zlar, namunalar va natija formatini o‘zgartirmang. O‘zgarishga sabab bo‘lgan xususiyatga qarang: harf shakllari, obyekt joylashuvi yoki material teksturasi. Katta son o‘z-o‘zidan yaxshiroq deb qarash o‘rniga sozlamani aniq vizual sabab bilan o‘zgartiring. Bular ishlab chiqaruvchining namuna olish boshqaruvlaridir; to‘rt qadamli distillatsiyalangan [klein] profili va [pro] yoki [max] standart boshqaruvlari boshqa model tanlovlaridir.</p><p>[flex] spetsifikatsiyasida topshiriqni kengaytirish odatda yoqilgan va uni o‘zining prompt_upsampling boshqaruvi orqali o‘chirish mumkin. Bu kerak bo‘lganda batafsil topshiriqni berilgan matnicha saqlaydi. Ishlab chiqaruvchining umumiy qo‘llanmasi asosiy obyekt va muhim harakatni ikkinchi darajali bezakdan oldin qo‘yishni tavsiya qiladi hamda tabiiy til topshiriqlari bilan birga JSON tuzilmali topshiriqlarni tasvirlaydi. Kerakli munosabatlarni eng oson belgilaydigan tuzilmani ishlating.</p><h4>Namunaga asoslangan tuzatishlar</h4><p>Aniq so‘rov profilida sakkizta namuna tasviri o‘rni mavjud. Ishlab chiqaruvchining interaktiv jarayoni alohida ravishda o‘ntagacha tasvirga ruxsat beradi; bu sonlar turli interfeyslarni tavsiflaydi. Tasvir tahrirlanadigan sahna, mahsulot, qahramon, kiyim yoki uslubni berishini belgilang. Tuzatishda obyekt va o‘zgarishni aniqlang, keyin saqlanishi kerak bo‘lgan atrof kompozitsiyasi, materiallar yoki yorug‘likni ayting.</p><p>Mustaqil qadoqlash vazifasida birinchi tasvirdagi quti va ikkinchisidagi qoplamadan foydalanish, old yorliqni tasdiqlangan so‘zlarga almashtirish hamda quti nisbatlarini saqlash mumkin. Guruh kompozitsiyasi har bir obyektga alohida namuna biriktirishi va shu biriktirishlarni izchil saqlashi mumkin. Oila misollari obyekt va fon o‘zgarishlari, kompozit yaratish, matn tahrirlari va uslub o‘zgartirishni qamrab oladi. Aniq maqsadli bitta yaxlit tuzatishni so‘rang, keyin tahrirlangan hududni ham, barqaror qolishi kerak bo‘lgan qismlarni ham solishtiring.</p><h4>O‘lcham, rang va qaytgan tasvir</h4><p>FLUX.2 qo‘llanmasi kamida 64×64 piksel, 16 ga karrali o‘lchamlar va 4 megapikselgacha natijani hujjatlashtiradi; oddiy foydalanish uchun 2 megapikselgacha tavsiya etiladi. Aynan [flex] spetsifikatsiyasi JPEG, PNG va WebP ni, standart sifatida JPEG ni ko‘rsatadi. Unda ixtiyoriy tasodifiy seed ham bor. Variantlarni taqqoslashda haqiqiy model, seed va namuna olish sozlamalarini manba namunalari bilan saqlang; faqat oila nomi yaratish konfiguratsiyasini to‘liq belgilamaydi.</p><p>Rangga sezgir ishda har bir hex kodni nomlangan obyekt yoki matn elementi bilan bog‘lang. Kompozitsiya uchun kerakli tomonlar nisbatini tasvir o‘lchamlari orqali belgilang va o‘qiladigan yozuvga yetarli joy qoldiring. Umumiy qo‘llanmada salbiy topshiriq mexanizmi yo‘q, shuning uchun kerakli ko‘rinishni ijobiy tasvirlang: aniq fokus, toza fon yoki matn uchun ravshan bo‘sh hudud. Uning ko‘p tilli misollari qat’iy tillar sonini kafolatlamasdan, madaniy o‘ziga xos topshiriqni tegishli tilda yozishni qo‘llab-quvvatlaydi.</p><p>Ishlab chiqaruvchining FLUX.2 jarayoni ishlovdan keyin tasvir qaytaradi va o‘n daqiqalik olish muddatiga ega vaqtinchalik imzolangan havolalardan foydalanadi. Haqiqiy tasvir va topshiriqni birga saqlang. Materialni maketga joylashtirishdan avval tipografiya, mayda detallar, namuna qiyofasi va vizual ishlovni tekshiring. Yakuniy yetkaziladigan material keyingi tuzatish uchun aniq sozlamalari saqlangan tanlangan plakat, mahsulot tasviri yoki tahrirlangan kompozitsiya bo‘lishi mumkin.</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-flex</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>Kirish 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>kirish rasmining megapikseli uchun</td><td data-cell-label=\"To‘lov\"><span class=\"card-cell-label\">To‘lov</span><div><span>Kirish · Kirish rasmining megapikseli · Faqat taqqoslash uchun taxmin</span> <b>$0.12</b> <span class=\"price-unit\">kirish rasmining megapikseli uchun</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>$0.12</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>$0.12</b> <span class=\"price-unit\">yaratishdan oldingi taxmin</span></div><p class=\"note-s\">Bu taxmin qo‘shimcha to‘lov ham, tugallangan generatsiya uchun qat’iy tarif ham emas.</p></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot so‘rovdan oldin taxminiy summani band qiladi. Natijadan keyin o‘lchangan sarf asosidagi yakuniy to‘lovni yechadi. Oqimli javob bo‘yicha yakuniy hisob-kitob yakuniy sarf yozuviga asoslanadi. <a href=\"/docs/uz/billing/reserve/\">Summani band qilish va to‘lovni hisoblash tartibi →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">So‘rov namunalari</h3><h4>Ailoot Ultra · Rasmlar</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Kod variantlari\"><button class=\"cg-tab\" id=\"model-code-1099-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1099-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Kodni nusxalash\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-1099-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1099-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${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-flex&#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-1100-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1100-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-1100-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1100-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-flex&amp;route=Ultra&amp;caller=black-forest-labs%2Fflux.2-flex&amp;fmt=images\"><code>black-forest-labs/flux.2-flex</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-flex&amp;route=Ultra&amp;caller=black-forest-labs%2Fflux.2-flex&amp;fmt=images\"><code>black-forest-labs/flux.2-flex</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "black-forest-labs/flux.2-flex",
        "fmt": "images",
        "http": "POST",
        "path": "/v1/images/generations",
        "request_model_id": "black-forest-labs/flux.2-flex",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|images|/v1/images/generations|black-forest-labs%2Fflux.2-flex",
      "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-flex"
                ],
                "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-flex"
                  ],
                  "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-flex",
                "prompt": "a red panda astronaut floating in space, studio lighting"
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "content_type": "application/json",
            "material_types": [
              "text",
              "image"
            ],
            "required": [
              "model",
              "prompt"
            ]
          },
          "lifecycle": {
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets"
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "content": [
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "exact returned signed URL; never construct token"
              }
            ],
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "status": [
              {
                "http": "GET",
                "id_source": "Amalda qaytarilgan task_id yoki media kutubxonasidagi yozuv",
                "path": "/v1/media/tasks/{task_id}"
              }
            ],
            "unknown": "Keep the returned X-Client-Request-ID for reconciliation. Read only actual returned task_id/asset_id values or the owned media library; never build a task URL from the operation ID and never resubmit creation."
          },
          "method": {
            "http": "POST",
            "path": "/v1/images/generations"
          },
          "output": {
            "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.",
            "family": "image",
            "fields": [
              {
                "description": null,
                "name": "created",
                "type": null
              },
              {
                "description": null,
                "name": "data[].url",
                "type": null
              },
              {
                "description": null,
                "name": "data[].b64_json",
                "type": null
              },
              {
                "description": null,
                "name": "usage",
                "type": null
              }
            ]
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per input image megapixel"
            },
            "label": "input image megapixel",
            "units": [
              {
                "amount": "0.12",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "image_input_megapixel",
                "label": "input image megapixel",
                "native_amount_usd_per_unit": "0.12",
                "native_quantity": 1,
                "public_unit_label": "per input image megapixel",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "image_input_megapixel"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per output image megapixel"
            },
            "label": "output image megapixel",
            "units": [
              {
                "amount": "0.12",
                "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": "0.12",
                "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": "0.12",
                "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": "0.12",
                "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-flex', '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",
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    "description": "FLUX.2 [flex] sozlanadigan namuna olish qadamlari va guidance bilan tasvir tipografiyasi hamda mayda vizual detallarga ixtisoslashgan. Topshiriqqa rioya qilish va realizm o‘rtasida muvozanat tanlab, plakatlar, mahsulot maketlari yoki aniq tuzatishlar uchun matn va tasvir namunalaridan foydalaning.",
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    "about": "FLUX.2 [flex] — Black Forest Labs’ning tipografiya, matnni tasvirlash va mayda detallarni saqlashga ixtisoslashgan tasvir yaratish hamda tahrirlash nashri. U yozma sahna ko‘rsatmalari va tasvir namunalaridan tasvir hosil qiladi. Uning asosiy boshqaruvi — sozlanadigan namuna olish: hujjatlashtirilgan profil inferens qadamlari va guidance ni ochib, vizual topshiriqni so‘zlar bilan birga sozlamalar orqali ham aniqlashtirishga imkon beradi.\n\n### Yozuv va nozik detallar\n\nTipografiya vazifasi haqiqiy matndan boshlanishi kerak. Har bir satrni qo‘shtirnoqda bering, qayerda turishini belgilang va sarlavha, yordamchi matn hamda yorliqni ajrating. Harflar uslubi, ko‘lami va rangini sahnaga bog‘lab tasvirlang. Mustaqil plakat topshirig‘ida och tusli studiyada kobalt-ko‘k velosiped, uning ramasidan yuqorida katta sarlavha va pastida kichikroq xususiyatlar satri ko‘rsatilishi mumkin. Tasvir mahsulotni ham, o‘qish tartibini ham birgalikda ravshan qilishi kerak.\n\nBatafsil mahsulot vizualida natijaning foydaliligini belgilaydigan qismlarni aniqlang: siferblat, boshqaruv yorlig‘i, chok, material qirrasi yoki qadoq belgisi. Tiniq namuna bering va u qaysi xususiyatni belgilashini tushuntiring. Umuman o‘xshash sahna ham muhim belgi yoki komponentni o‘zgartirishi mumkin, shuning uchun yaratilgan detalni mo‘ljallangan ko‘rsatish o‘lchamida solishtiring. Model ixtisosligi aniq talablar berish uchun sababdir; u matnni tekshirish yoki tasvirni ko‘rish keraksiz bo‘lishiga kafolat bermaydi.\n\n### Qadamlar va guidance turli vazifalarni bajaradi\n\nIshlab chiqaruvchining aniq profili birdan elliktagacha inferens qadamini qabul qiladi; standart qiymat ellik. Tavsifida ko‘proq qadam kattaroq tafsilot va realizm bilan bog‘lanadi. Guidance 1.5 dan 10 gacha, standart qiymati 5. Yuqoriroq guidance topshiriqqa rioyani kuchaytiradi, biroq realizmni kamaytirishi mumkin. Shu sabab aniq dizayn ko‘rsatmalariga ega tasvir va tabiiy fotografik ko‘rinishni ko‘zlagan tasvir mazkur profil ichida turli tanlovlarni talab qilishi mumkin.\n\nSozlama o‘zgarishini taqqoslashda so‘zlar, namunalar va natija formatini o‘zgartirmang. O‘zgarishga sabab bo‘lgan xususiyatga qarang: harf shakllari, obyekt joylashuvi yoki material teksturasi. Katta son o‘z-o‘zidan yaxshiroq deb qarash o‘rniga sozlamani aniq vizual sabab bilan o‘zgartiring. Bular ishlab chiqaruvchining namuna olish boshqaruvlaridir; to‘rt qadamli distillatsiyalangan [klein] profili va [pro] yoki [max] standart boshqaruvlari boshqa model tanlovlaridir.\n\n[flex] spetsifikatsiyasida topshiriqni kengaytirish odatda yoqilgan va uni o‘zining prompt_upsampling boshqaruvi orqali o‘chirish mumkin. Bu kerak bo‘lganda batafsil topshiriqni berilgan matnicha saqlaydi. Ishlab chiqaruvchining umumiy qo‘llanmasi asosiy obyekt va muhim harakatni ikkinchi darajali bezakdan oldin qo‘yishni tavsiya qiladi hamda tabiiy til topshiriqlari bilan birga JSON tuzilmali topshiriqlarni tasvirlaydi. Kerakli munosabatlarni eng oson belgilaydigan tuzilmani ishlating.\n\n### Namunaga asoslangan tuzatishlar\n\nAniq so‘rov profilida sakkizta namuna tasviri o‘rni mavjud. Ishlab chiqaruvchining interaktiv jarayoni alohida ravishda o‘ntagacha tasvirga ruxsat beradi; bu sonlar turli interfeyslarni tavsiflaydi. Tasvir tahrirlanadigan sahna, mahsulot, qahramon, kiyim yoki uslubni berishini belgilang. Tuzatishda obyekt va o‘zgarishni aniqlang, keyin saqlanishi kerak bo‘lgan atrof kompozitsiyasi, materiallar yoki yorug‘likni ayting.\n\nMustaqil qadoqlash vazifasida birinchi tasvirdagi quti va ikkinchisidagi qoplamadan foydalanish, old yorliqni tasdiqlangan so‘zlarga almashtirish hamda quti nisbatlarini saqlash mumkin. Guruh kompozitsiyasi har bir obyektga alohida namuna biriktirishi va shu biriktirishlarni izchil saqlashi mumkin. Oila misollari obyekt va fon o‘zgarishlari, kompozit yaratish, matn tahrirlari va uslub o‘zgartirishni qamrab oladi. Aniq maqsadli bitta yaxlit tuzatishni so‘rang, keyin tahrirlangan hududni ham, barqaror qolishi kerak bo‘lgan qismlarni ham solishtiring.\n\n### O‘lcham, rang va qaytgan tasvir\n\nFLUX.2 qo‘llanmasi kamida 64×64 piksel, 16 ga karrali o‘lchamlar va 4 megapikselgacha natijani hujjatlashtiradi; oddiy foydalanish uchun 2 megapikselgacha tavsiya etiladi. Aynan [flex] spetsifikatsiyasi JPEG, PNG va WebP ni, standart sifatida JPEG ni ko‘rsatadi. Unda ixtiyoriy tasodifiy seed ham bor. Variantlarni taqqoslashda haqiqiy model, seed va namuna olish sozlamalarini manba namunalari bilan saqlang; faqat oila nomi yaratish konfiguratsiyasini to‘liq belgilamaydi.\n\nRangga sezgir ishda har bir hex kodni nomlangan obyekt yoki matn elementi bilan bog‘lang. Kompozitsiya uchun kerakli tomonlar nisbatini tasvir o‘lchamlari orqali belgilang va o‘qiladigan yozuvga yetarli joy qoldiring. Umumiy qo‘llanmada salbiy topshiriq mexanizmi yo‘q, shuning uchun kerakli ko‘rinishni ijobiy tasvirlang: aniq fokus, toza fon yoki matn uchun ravshan bo‘sh hudud. Uning ko‘p tilli misollari qat’iy tillar sonini kafolatlamasdan, madaniy o‘ziga xos topshiriqni tegishli tilda yozishni qo‘llab-quvvatlaydi.\n\nIshlab chiqaruvchining FLUX.2 jarayoni ishlovdan keyin tasvir qaytaradi va o‘n daqiqalik olish muddatiga ega vaqtinchalik imzolangan havolalardan foydalanadi. Haqiqiy tasvir va topshiriqni birga saqlang. Materialni maketga joylashtirishdan avval tipografiya, mayda detallar, namuna qiyofasi va vizual ishlovni tekshiring. Yakuniy yetkaziladigan material keyingi tuzatish uchun aniq sozlamalari saqlangan tanlangan plakat, mahsulot tasviri yoki tahrirlangan kompozitsiya bo‘lishi mumkin.",
    "alias_of": null,
    "aliases": [],
    "author": "Black Forest Labs",
    "capabilities": {
      "context_length": 67344,
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        "text",
        "image"
      ],
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        "image"
      ]
    },
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            "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": "0.12",
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            "quantity_is_estimate": true,
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        ],
        "summary": "Konfiguratsiya narxlari tafsilotlarda to‘liq ko‘rsatilgan."
      }
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      "images"
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    "id": "black-forest-labs/flux.2-flex",
    "input": [
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      "image"
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    "max_out": null,
    "methods": [
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        "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.",
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                  "name": "data[].b64_json",
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                }
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                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
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                "name": "prompt",
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                "required": false,
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                "enum_known": true,
                "name": "output_format",
                "required": false,
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                "minimum": 1,
                "name": "n",
                "required": false,
                "type": "integer"
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                      "type": "object"
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                    "type": {
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                "minimum_items": 0,
                "name": "input_references",
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            "request_schema": {
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                        "required": [
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                        ],
                        "type": "object"
                      },
                      "type": {
                        "const": "image_url"
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                    },
                    "required": [
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                    "type": "object"
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                  "minItems": 0,
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                },
                "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-flex",
                "prompt": "a red panda astronaut floating in space, studio lighting"
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "content_type": "application/json",
            "material_types": [
              "text",
              "image"
            ],
            "required": [
              "model",
              "prompt"
            ]
          },
          "lifecycle": {
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets"
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "content": [
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "exact returned signed URL; never construct token"
              }
            ],
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "status": [
              {
                "http": "GET",
                "id_source": "Amalda qaytarilgan task_id yoki media kutubxonasidagi yozuv",
                "path": "/v1/media/tasks/{task_id}"
              }
            ],
            "unknown": "Keep the returned X-Client-Request-ID for reconciliation. Read only actual returned task_id/asset_id values or the owned media library; never build a task URL from the operation ID and never resubmit creation."
          },
          "method": {
            "http": "POST",
            "path": "/v1/images/generations"
          },
          "output": {
            "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.",
            "family": "image",
            "fields": [
              {
                "description": null,
                "name": "created",
                "type": null
              },
              {
                "description": null,
                "name": "data[].url",
                "type": null
              },
              {
                "description": null,
                "name": "data[].b64_json",
                "type": null
              },
              {
                "description": null,
                "name": "usage",
                "type": null
              }
            ]
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per input image megapixel"
            },
            "label": "input image megapixel",
            "units": [
              {
                "amount": "0.12",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "image_input_megapixel",
                "label": "input image megapixel",
                "native_amount_usd_per_unit": "0.12",
                "native_quantity": 1,
                "public_unit_label": "per input image megapixel",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "image_input_megapixel"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per output image megapixel"
            },
            "label": "output image megapixel",
            "units": [
              {
                "amount": "0.12",
                "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": "0.12",
                "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": "0.12",
                "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": "0.12",
                "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-flex', 'prompt': 'a red panda astronaut floating in space, studio lighting'}\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/images/generations \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\npython3 - <<'PY_RESULT'\nimport base64, json, os, subprocess\nfrom pathlib import Path\nfrom urllib.parse import urlsplit, urljoin\n\ndef save_images(items):\n    if not items: raise SystemExit(\"No completed images; retain the full response\")\n    for index, item in enumerate(items):\n        encoded=item.get(\"b64_json\")\n        uri=item.get(\"url\", \"\")\n        if not encoded and uri.startswith(\"data:image/\"):\n            header, separator, encoded=uri.partition(\",\")\n            if not separator or \";base64\" not in header: raise SystemExit(\"Unsupported image data URI\")\n        if encoded:\n            raw=base64.b64decode(encoded,validate=True)\n        elif uri:\n            uri=urljoin(\"https://api.ailoot.ai\",uri)\n            parsed=urlsplit(uri)\n            if parsed.scheme!=\"https\" or not parsed.netloc or parsed.username or parsed.password:\n                raise SystemExit(\"Invalid returned image URL\")\n            owned=parsed.netloc==\"api.ailoot.ai\" and parsed.path.startswith(\"/v1/media/assets/\") and parsed.path.endswith(\"/content\")\n            args=[\"curl\",\"--fail-with-body\",\"--silent\",\"--show-error\",uri]\n            if owned: args += [\"-H\",\"Authorization: Bearer \"+os.environ[\"AILOOT_API_KEY\"]]\n            temporary=Path(f\"image-{index}.bin\")\n            subprocess.run(args+[\"-o\",str(temporary)],check=True)\n            raw=temporary.read_bytes()\n            temporary.unlink()\n        else: raise SystemExit(\"Image has neither bytes nor URL\")\n        if not raw: raise SystemExit(\"Empty image result\")\n        ext=\"png\" if raw.startswith(b\"\\x89PNG\") else \"jpg\" if raw.startswith(b\"\\xff\\xd8\") else \"webp\" if raw[:4]==b\"RIFF\" and raw[8:12]==b\"WEBP\" else \"svg\" if raw.lstrip().startswith((b\"<svg\",b\"<?xml\")) else \"bin\"\n        Path(f\"image-{index}.{ext}\").write_bytes(raw)\n    print(\"Every returned image saved; complete response metadata retained\")\nsave_images(json.loads(Path(\"result.json\").read_text())[\"data\"])\nPY_RESULT\n",
            "label": "curl · exact creation/save all outputs",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o owned-assets.json\n# Preserve every returned asset and follow its exact signed content URL. Do not construct a signed token.\n",
            "label": "Read existing owned assets",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "images",
        "hints": [
          "Use the exact caller model ID and documented input representation.",
          "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again."
        ],
        "http": "POST",
        "in": null,
        "input": [
          "text",
          "image"
        ],
        "label": "Rasmlar",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [
          "/v1/images"
        ],
        "native_endpoint": "images",
        "out": null,
        "output": [
          "image"
        ],
        "path": "/v1/images/generations",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "pricing": {
          "billing_mode": "original_invoice_usd",
          "image_input_price": null,
          "image_output_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per input image megapixel"
            },
            "label": "input image megapixel",
            "units": [
              {
                "amount": "0.12",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "image_input_megapixel",
                "label": "input image megapixel",
                "native_amount_usd_per_unit": "0.12",
                "native_quantity": 1,
                "public_unit_label": "per input image megapixel",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "image_input_megapixel"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per output image megapixel"
            },
            "label": "output image megapixel",
            "units": [
              {
                "amount": "0.12",
                "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": "0.12",
                "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": "0.12",
                "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": "0.12",
                "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-flex",
        "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": "0.12",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "image_input_megapixel",
            "label": "input image megapixel",
            "native_amount_usd_per_unit": "0.12",
            "native_quantity": 1,
            "public_unit_label": "per input image megapixel",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "image_input_megapixel"
          },
          {
            "amount": "0.12",
            "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": "0.12",
            "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": "0.12",
            "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": "0.12",
            "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-flex",
        "request_model_id": "black-forest-labs/flux.2-flex",
        "route_label": "Ultra"
      }
    ],
    "name": "Black Forest Labs: FLUX.2 Flex",
    "price": {
      "estimate_only": true,
      "in": null,
      "in_label": null,
      "out": 0.12,
      "out_label": "estimate before generation",
      "scope_label": "Estimated generation cost",
      "sort_in": null,
      "sort_out": 0.12,
      "varies": false
    },
    "short": "FLUX.2 [flex] sozlanadigan namuna olish qadamlari va guidance bilan tasvir tipografiyasi hamda mayda vizual detallarga ixtisoslashgan. Topshiriqqa rioya qilish va realizm o‘rtasida muvozanat tanlab, plakatlar, mahsulot maketlari yoki aniq tuzatishlar uchun matn va tasvir namunalaridan foydalaning."
  },
  "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 [flex] sozlanadigan namuna olish qadamlari va guidance bilan tasvir tipografiyasi hamda mayda vizual detallarga ixtisoslashgan. Topshiriqqa rioya qilish va realizm o‘rtasida muvozanat tanlab, plakatlar, mahsulot maketlari yoki aniq tuzatishlar uchun matn va tasvir namunalaridan foydalaning.",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "1e3a03f7f59184bc664317cc2ecd58776ac53edb0742160798e51ca63b3b55b9",
    "renderer_sha256": "aa8a0fca1bd770c042b64987512b6187fca2067aea3ddc877f68b163d80e7df6"
  },
  "sourceRevision": "8bc6a4b615bb8af9bd86c0960ebc567d44860a371021e2a90342e3f67a443d38"
}
