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GPT Image 2.5 Flare 2026-09-08

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GPT Image 2.5 Flare 2026-09-08

GPT Image 2.5 Flare tavsif asosida kundalik tasvir yaratish uchun mo‘ljallangan. Foydalanuvchi belgilaydigan o‘lchamlar, kengaytirilgan sifat darajalari to‘plami va shaffof fon ko‘zda tutilgan.

Model haqida

Bu tavsif model imkoniyatlarini yoritadi. Ailoot da tanlangan usul uchun mavjud kirish, chiqish va parametrlar quyida keltirilgan.

Matnli tavsif asosida kundalik yaratish

GPT Image 2.5 Flare — tasvirlar yaratish uchun OpenAI modeli. Ishlab chiqaruvchi ma’lumotiga ko‘ra, uning vazifasi — sifatli vizual materialni kundalik tez yaratish. Topshiriqda syujet, uslub, tafsilotlar joylashuvi va kerakli kadr shaklini tavsiflash mumkin; natija tasvir bo‘ladi.

Ailoot’da bu karta matnli kirish bilan yaratish uchun taqdim etilgan. OpenAI boshlang‘ich rasmlar, namunalar va tuzatishlar bilan ishlashni ham tavsiflaydi. Bu usullar kiruvchi tasvirlarni qo‘llab-quvvatlashni talab qiladi; ular matnli metod bunday materiallarni allaqachon qabul qilishini anglatmaydi.

Qoralama variantdan batafsil tasvirgacha sifat

low, medium, high, xhigh, max darajalari va avtomatik auto tanlovi qo‘llab-quvvatlanadi. Sifat sozlamasi natijani shakllantirishdagi ish hajmiga ta’sir qiladi. U kadr o‘lchami va tayyor faylni siqishdan alohida belgilanadi.

O‘lcham uchun kvadrat, gorizontal va vertikal variantlar, avtomatik tanlov va foydalanuvchi belgilaydigan o‘lchamlar ko‘zda tutilgan. Ishlab chiqaruvchining barcha cheklovlariga rioya qilgan holda nisbatlarni kompozitsiyaga mos tanlash mumkin.

Foydalanuvchi belgilaydigan o‘lchamlar

Har bir tomon 16 pikselga karrali va 3840 pikseldan uzun bo‘lmasligi kerak. Uzun tomonning qisqa tomonga nisbati — ko‘pi bilan 3:1. Ruxsat etilgan maydon 655 360 dan 8 294 400 pikselgacha. Cheklovlar birgalikda amal qiladi: ruxsat etilgan tomonlar nisbati maydon chegarasini bekor qilmaydi.

2560x1440’dan yuqori aniqliklar tajribaviy deb belgilangan. Katta kadr tanlashda kompozitsiyaning o‘zini hisobga olish muhim: ko‘proq piksel uning barcha elementlari xatosiz joylashishini kafolatlamaydi.

Natija fayli va shaffoflik

Model PNG, JPEG va WebP’ni ko‘zda tutadi; standart format — PNG. JPEG va WebP uchun siqishni boshqarish mumkin. Shaffof fon uchun PNG yoki WebP kerak. Ishlab chiqaruvchi shaffof bo‘lmagan fon va avtomatik tanlovni ham qo‘llab-quvvatlaydi. Shaffoflik tasvirni keyingi kompozitsiyada belgilangan fon qatlamisiz ishlatishga imkon beradi.

Ishlab chiqaruvchi sozlamalari model imkoniyatlarini tavsiflaydi; ularning bajarilishi tanlangan metod parametrlarni qo‘llab-quvvatlashiga bog‘liq. Alohida yaratish yangi natija hosil qiladi, shuning uchun bir xil tavsif tasvirlarning to‘liq mosligi kafolati emas.

Tayyor rasmda nimani tekshirish kerak

OpenAI ma’lumotiga ko‘ra, murakkab topshiriqni qayta ishlash ikki daqiqagacha vaqt olishi mumkin. Bu aniq ilovada natijani olishning to‘liq vaqti kafolati emas, ishlab chiqaruvchidagi yaratish tavsifidir.

Yozuvlar, obyektlarning aniq holati va tasvirlar orasida bir xil ko‘rinishni saqlash tekshiruv talab qiladi. Alohida qo‘llab-quvvatlanadigan tahrirlash amalidagi niqob qat’iy chegarani emas, o‘zgarish yo‘nalishini belgilaydi. Matnli yaratish uchun kompozitsiyani aniq tavsiflash va faylning o‘zini tekshirish foydali: ko‘rinadigan tafsilotlar, o‘qilish va belgilangan syujetga moslik.

Ailoot · Rasmlar POST /v1/images/generations gpt-image-2.5-flare-2026-09-08

gpt-image-2.5-flare-2026-09-08

OpenAI /gpt-image-2.5-flare-2026-09-08

Boshlash

GPT Image 2.5 Flare tavsif asosida kundalik tasvir yaratish uchun mo‘ljallangan. Foydalanuvchi belgilaydigan o‘lchamlar, kengaytirilgan sifat darajalari to‘plami va shaffof fon ko‘zda tutilgan.

Qabul qilinadigan kirish ma’lumotlari
Matn
Natijalar
Rasmlar

Ailoot da mavjud · kirish ma’lumotlari va usullar

Ailoot · Rasmlar POST /v1/images/generations
Kirish
text
Chiqish
image
Chiqish formati
Rasm fayli
MaydonTurTalabQiymatlar va cheklovlarStandart
MaydonmodelTurstringTalabMajburiyQiymatlar va cheklovlar
gpt-image-2.5-flare-2026-09-08
Standart—
MaydonpromptTurstringTalabMajburiyQiymatlar va cheklovlar
Eng kam uzunlik: 1
Standart—
MaydonnTurintegerTalabIxtiyoriyQiymatlar va cheklovlar
Eng kam: 1
Standart1
Maydonresponse_formatTurstringTalabIxtiyoriyQiymatlar va cheklovlar
url, b64_json
Standart—
MaydonstreamTurbooleanTalabIxtiyoriyQiymatlar va cheklovlarStandartfalse
MaydonsizeTurstringTalabIxtiyoriyQiymatlar va cheklovlar
Modelga bogʻliq
Standart—
MaydonqualityTurstringTalabIxtiyoriyQiymatlar va cheklovlar
Modelga bogʻliq
Standart—
MaydonbackgroundTurstringTalabIxtiyoriyQiymatlar va cheklovlar
Modelga bogʻliq
Standart—
Maydonoutput_formatTurstringTalabIxtiyoriyQiymatlar va cheklovlar
Modelga bogʻliq
Standart—
Maydonoutput_compressionTurintegerTalabIxtiyoriyQiymatlar va cheklovlar
Modelga bogʻliq
Standart—
MaydonmoderationTurstringTalabIxtiyoriyQiymatlar va cheklovlar
Modelga bogʻliq
Standart—
Maydoninput_fidelityTurstringTalabIxtiyoriyQiymatlar va cheklovlar
Modelga bogʻliq
Standart—
MaydonstyleTurstringTalabIxtiyoriyQiymatlar va cheklovlar
Modelga bogʻliq
Standart—
Maydonpartial_imagesTurintegerTalabIxtiyoriyQiymatlar va cheklovlar
Modelga bogʻliq
Standart—
Kirish materiallari birikmalari

Matndan rasm · Majburiy: prompt

Usul parametrlari va hayot sikli
ParametrParametr talablari
Parametrmaterial_typesParametr talablaritext
ParametrrequiredParametr talablarimodel, prompt
Parametroptional_controlsParametr talablarinull
Parametrcontent_typeParametr talablariapplication/json

Hayot sikli: synchronous_result_then_owned_library

GET /v1/media/tasks/{task_id} · Amalda qaytarilgan task_id yoki media kutubxonasidagi yozuv

GET /v1/media/assets/{asset_id}/content

GET /v1/media/assets

GET /v1/media/assets/{asset_id}

Metod tuzilishlari va IDlari aniq; yetkazib beruvchining imkoniyati so‘rovni qabul qilishga ruxsatdan alohida.

Tariflar

Ailoot usullari tariflari

Ailoot RasmlarPOST /v1/images/generations
Matnli kirish
0,005 US$ / 1K
Kirish, rasm
0,008 US$ / 1K tokens
Chiqish, rasm
0,03 US$ / 1K tokens

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. Summani band qilish va to‘lovni hisoblash tartibi →

So‘rov namunalari

Ailoot · Rasmlar

curlPython SDKNode.js SDK
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
export AILOOT_API_KEY
export AILOOT_API_KEY
: "${AILOOT_PROMPT_FILE:?Set your actual UTF-8 image brief}"
export AILOOT_PROMPT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "gpt-image-2.5-flare-2026-09-08", "prompt": ""}')
f=Path(os.environ["AILOOT_PROMPT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 brief")
p['prompt']=f.read_text(encoding="utf-8")
if not p['prompt'].strip():raise SystemExit("Brief must contain text")
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/images/generations \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json, os, subprocess
from pathlib import Path
from urllib.parse import urlsplit, urljoin

def save_images(items):
    if not items: raise SystemExit("No completed images; retain the full response")
    for index, item in enumerate(items):
        encoded=item.get("b64_json")
        uri=item.get("url", "")
        if not encoded and uri.startswith("data:image/"):
            header, separator, encoded=uri.partition(",")
            if not separator or ";base64" not in header: raise SystemExit("Unsupported image data URI")
        if encoded:
            raw=base64.b64decode(encoded,validate=True)
        elif uri:
            uri=urljoin("https://api.ailoot.ai",uri)
            parsed=urlsplit(uri)
            if parsed.scheme!="https" or not parsed.netloc or parsed.username or parsed.password:
                raise SystemExit("Invalid returned image URL")
            owned=parsed.netloc=="api.ailoot.ai" and parsed.path.startswith("/v1/media/assets/") and parsed.path.endswith("/content")
            args=["curl","--fail-with-body","--silent","--show-error",uri]
            if owned: args += ["-H","Authorization: Bearer "+os.environ["AILOOT_API_KEY"]]
            temporary=Path(f"image-{index}.bin")
            subprocess.run(args+["-o",str(temporary)],check=True)
            raw=temporary.read_bytes()
            temporary.unlink()
        else: raise SystemExit("Image has neither bytes nor URL")
        if not raw: raise SystemExit("Empty image result")
        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"
        Path(f"image-{index}.{ext}").write_bytes(raw)
    print("Every returned image saved; complete response metadata retained")
save_images(json.loads(Path("result.json").read_text())["data"])
PY_RESULT
from openai import OpenAI
import base64, json, os, subprocess
from pathlib import Path
from urllib.parse import urlsplit, urljoin

def save_images(items):
    if not items: raise SystemExit("No completed images; retain the full response")
    for index, item in enumerate(items):
        encoded=item.get("b64_json")
        uri=item.get("url", "")
        if not encoded and uri.startswith("data:image/"):
            header, separator, encoded=uri.partition(",")
            if not separator or ";base64" not in header: raise SystemExit("Unsupported image data URI")
        if encoded:
            raw=base64.b64decode(encoded,validate=True)
        elif uri:
            uri=urljoin("https://api.ailoot.ai",uri)
            parsed=urlsplit(uri)
            if parsed.scheme!="https" or not parsed.netloc or parsed.username or parsed.password:
                raise SystemExit("Invalid returned image URL")
            owned=parsed.netloc=="api.ailoot.ai" and parsed.path.startswith("/v1/media/assets/") and parsed.path.endswith("/content")
            args=["curl","--fail-with-body","--silent","--show-error",uri]
            if owned: args += ["-H","Authorization: Bearer "+os.environ["AILOOT_API_KEY"]]
            temporary=Path(f"image-{index}.bin")
            subprocess.run(args+["-o",str(temporary)],check=True)
            raw=temporary.read_bytes()
            temporary.unlink()
        else: raise SystemExit("Image has neither bytes nor URL")
        if not raw: raise SystemExit("Empty image result")
        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"
        Path(f"image-{index}.{ext}").write_bytes(raw)
    print("Every returned image saved; complete response metadata retained")

f=Path(os.environ["AILOOT_PROMPT_FILE"])
if not f.is_file():raise SystemExit("Set your actual UTF-8 image brief file")
request={'model': 'gpt-image-2.5-flare-2026-09-08', 'prompt': ''}
request["prompt"]=f.read_text(encoding="utf-8")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
result=client.images.generate(**request)
Path("sdk-result.txt").write_text(str(result),encoding="utf-8")
save_images([{"b64_json":getattr(item,"b64_json",None),"url":getattr(item,"url",None)} for item in result.data])
import OpenAI from "openai";
import { readFileSync, writeFileSync } from "node:fs";
const key=process.env.AILOOT_API_KEY;
if(!key) throw new Error("Set your actual Ailoot API key");
const client=new OpenAI({baseURL:"https://api.ailoot.ai/v1",apiKey:key,maxRetries:0});
const request={"model": "gpt-image-2.5-flare-2026-09-08", "prompt": ""};
if(!process.env.AILOOT_PROMPT_FILE)throw new Error("Set your actual UTF-8 image brief file");
request.prompt=readFileSync(process.env.AILOOT_PROMPT_FILE,"utf8");
const result=await client.images.generate(request);
writeFileSync("sdk-result.json",JSON.stringify(result,null,2));
if(!result.data?.length) throw new Error("No completed images");
for(let index=0;index<result.data.length;index++) {
  const item=result.data[index];let encoded=item.b64_json,uri=item.url||"",raw;
  if(!encoded && uri.startsWith("data:image/")) {
    const comma=uri.indexOf(",");if(comma<0 || !uri.slice(0,comma).includes(";base64")) throw new Error("Unsupported image data URI");
    encoded=uri.slice(comma+1);
  }
  if(encoded) {
    if(encoded.length%4!==0 || !/^[A-Za-z0-9+/]*={0,2}$/.test(encoded)) throw new Error("Invalid Base64");
    raw=Buffer.from(encoded,"base64");
  } else if(uri) {
    const u=new URL(uri,"https://api.ailoot.ai");
    if(u.protocol!=="https:" || u.username || u.password) throw new Error("Invalid returned URL");
    const owned=u.origin==="https://api.ailoot.ai" && u.pathname.startsWith("/v1/media/assets/") && u.pathname.endsWith("/content");
    const response=await fetch(u,{headers:owned?{Authorization:"Bearer "+key}:{},redirect:"manual"});
    if(!response.ok) throw new Error("Image content download failed: "+response.status);
    raw=Buffer.from(await response.arrayBuffer());
  } else throw new Error("Image has neither bytes nor URL");
  if(!raw.length) throw new Error("Empty image result");
  const ext=raw.subarray(0,4).equals(Buffer.from([137,80,78,71]))?"png":raw[0]===255&&raw[1]===216?"jpg":raw.toString("ascii",0,4)==="RIFF"&&raw.toString("ascii",8,12)==="WEBP"?"webp":raw.toString("utf8").trimStart().startsWith("<svg")||raw.toString("utf8").trimStart().startsWith("<?xml")?"svg":"bin";
  writeFileSync(`image-${index}.${ext}`,raw);
}
console.log("Every returned image saved; sdk-result.json retains complete metadata");

Natijalarni olish va saqlash

Ailoot · Rasmlar

Har bir qaytarilgan rasmni yuklab oling yoki uning Base64 kontentini saqlang

  • GET /v1/media/tasks/{task_id}
  • GET /v1/media/assets/{asset_id}/content
  • GET /v1/media/assets
  • GET /v1/media/assets/{asset_id}
Barcha tayyor natijalarni saqlash

Har bir tayyor rasmni saqlang; har bir qaytarilgan URL dan kontentni oling yoki uning Base64 kontentini dekodlang.

Har bir ma’lumot elementini saqlang. Har bir b64_json ni dekodlang yoki qaytarilgan har bir imzolangan URL dan faylni yuklab oling. Fayl nomi kengaytmasini haqiqiy MIME turi/baytlar asosida tanlang.

Asl javobni tekshirish kerak bo‘lsa

Rasm yaratish yoki tahrirlash natijasini tekshirish kerak bo‘lsa, dastlabki operation_id/X-Client-Request-ID va qaytarilgan natija haqidagi ma’lumotlarni saqlang. Amalda qaytarilgan task_id yoki asset_id qiymatlari yordamida media kutubxonasidan o‘zingizga tegishli mavjud natijalarni tiklang. Rasm yaratish/tahrirlash so‘rovini qayta yubormang va operation_id dan holatni davriy tekshirish uchun URL tuzmang.

Javob maydonlari
MaydonTur
MaydoncreatedTurinteger
Maydondata[].urlTurstring
Maydondata[].b64_jsonTurbase64 string
MaydonusageTurobject
Xatolar va keyingi qadamlar
JavobShartKeyingi qadam
Javob400 · invalid_request_errorShartMajburiy maydonlar, material ifodasi yoki parametr qiymati noto‘g‘riKeyingi qadamYangi yaratish so‘rovidan oldin ko‘rsatilgan maydonlarni tuzating.
Javobserver_errorShartQaytarilgan javob operatsiya yoki natijani tekshirish kerakligini bildiradiKeyingi qadamDastlab qaytarilgan operatsiya/vazifa ID sini, so‘rov sarlavhalarini va javobni saqlang; aynan shu operatsiya uchun qo‘llab-quvvatlanadigan o‘qish so‘rovlarini davom ettiring. Yaratish so‘rovini qayta yubormang.

Taxalluslar

Model taxalluslari

Ailoot gpt-image-2.5-flare-2026-09-08

Usul yo‘llari taxalluslari

Yuqorida ko‘rsatilgan usul yo‘llaridan foydalaning.

Chaqirish uchun tegishli ID lar

gpt-image-2.5-flare-2026-09-08

FAQ · GPT Image 2.5 Flare 2026-09-08
Qanday kirish ma’lumotlari va natijalar mavjud?

POST /v1/images/generations · gpt-image-2.5-flare-2026-09-08: text → image

So‘rov qaysi maydonlardan foydalanadi?

POST /v1/images/generations · gpt-image-2.5-flare-2026-09-08: model, prompt, n, response_format, stream

Qanday cheklovlar amal qiladi?

POST /v1/images/generations · gpt-image-2.5-flare-2026-09-08: n.minimum: 1

Batafsil

Ailoot’ni Claude Code, OpenCode, Hermes yoki ilovangizga ulang.

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Obuna
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Tarixdagi xarajatlar
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Obuna tanlash · Model narxlarini ko‘rish

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SaaS, ilova va botlar Ailoot ofertasi hamda litsenziya shartnomasiga muvofiq. Qayta sotishga reseller litsenziyasi so‘rang.

Tijorat ilovasi
Xizmatingizning pullik funksiyalariga matn, rasm, video va ovoz yaratishni qo‘shing.
Reseller litsenziyasi
Loyiha tavsifi va kirish sxemasini yuboring. Foydalanish va qayta sotishga yozma shartlarni so‘rang.
Saytdagi hujjatlar
Oferta, litsenziya shartnomasi va ma’lumotlar siyosati ulashdan oldin ochiq.

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