modellar

wan2.7-image-pro

Markdown · JSON

wan2.7-image-pro

Matnli topshiriq asosida tasvir yaratish modeli. Ishlab chiqaruvchi oddiy matndan yaratish uchun rang palitrasini boshqarish va 4K gacha aniqlikni ko‘zda tutadi.

Model haqida

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

Wan2.7-Image-Pro — Alibaba’ning matn asosida tasvir yaratish modeli. Joriy Ailoot kartasi matnli kirish va tasvir ko‘rinishidagi natijani e’lon qiladi. Ishlab chiqaruvchi tahrirlash, namunalarni birlashtirish va tasvirning ayrim qismlarini o‘zgartirishni ham ko‘zda tutadi; bu usullar kiruvchi tasvirlarni alohida qo‘llab-quvvatlashni talab qiladi va kartaning joriy metodida taqdim etilmagan.

Ishlab chiqaruvchining namuna tasvirli rejimida to‘qqiztagacha boshlang‘ich tasvir yuborish va har birining qaysi elementlarini ishlatish kerakligini tavsiflash mumkin. Tahrirlashda model asosiy obyektni saqlagan holda ishlaydi, tanlangan tafsilotlarni o‘zgartiradi yoki bir nechta materialdan yangi kompozitsiya yig‘adi. O‘zgarishlarni aniqroq yo‘naltirish uchun bitta kiruvchi tasvirda ikkitagacha to‘g‘ri to‘rtburchak hududni belgilash mumkin.

Palitra va murakkab topshiriq

Ketma-ket turkumlardan tashqarida 3–10 rangdan iborat palitra belgilash mumkin. Mulohaza yuritish rejimi namunasiz va ketma-ket turkumsiz oddiy matndan yaratish uchun mo‘ljallangan: model sahna tavsifini oldindan tahlil qiladi.

Alibaba spetsifikatsiyasida oddiy natija birdan to‘rttagacha tasvirni o‘z ichiga oladi. Syujetli turkumda yuqori chegarani 12 tagacha belgilash mumkin; haqiqiy sonni model topshiriqqa qarab tanlaydi. Turkum personajlarning umumiy xususiyatlari va hikoyaning izchil rivojlanishi uchun matn va namunalarni hisobga olishi mumkin. Bu rejimda palitra va mulohaza yuritish ishlatilmaydi.

Aniqlik rejimga bog‘liq

4K darajasi namunasiz va ketma-ket turkumsiz oddiy matndan yaratishda qo‘llab-quvvatlanadi. Tasvirlar asosida tahrirlash va ketma-ket turkumlar 2K darajasi bilan cheklangan. Bu belgilar har bir tomonning bir xil uzunligini emas, piksellar maydonini belgilaydi. Kadr formatini 1:8 dan 8:1 gacha tanlash mumkin; oldindan belgilangan aniqlik bilan tahrirlashda tomonlar nisbati oxirgi namunaga mos keladi. Natijalar PNG’da saqlanadi.

Kiruvchi tasvirli usullar uchun Alibaba JPEG, JPG, shaffofliksiz PNG, BMP va WEBP’ga ruxsat beradi. Chegaralar — har bir faylga 20 MB, har bir tomon uchun 240 dan 8000 pikselgacha va 1:8 dan 8:1 gacha nisbat. Matnli topshiriq uchun xitoy va ingliz tillari qo‘llab-quvvatlanadi; maksimum — 5000 belgi, ortiqcha qism tashlab yuboriladi. Bu versiyada salbiy tavsif va topshiriqni kengaytirish ko‘zda tutilmagan. Boshlang‘ich tasodifiylik urug‘i variantlar o‘xshashligini saqlashga yordam beradi, ammo aynan takrorlanishni ta’minlamaydi.

Ailoot · Rasmlar POST /v1/images/generations wan2.7-image-pro

wan2.7-image-pro

Alibaba /wan2.7-image-pro
Model ID
  • wan2.7-image-pro
  • wan-image
  • wan-image-latest

Boshlash

Matnli topshiriq asosida tasvir yaratish modeli. Ishlab chiqaruvchi oddiy matndan yaratish uchun rang palitrasini boshqarish va 4K gacha aniqlikni ko‘zda tutadi.

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
wan2.7-image-pro
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—
Maydonpartial_imagesTurintegerTalabIxtiyoriyQiymatlar va cheklovlar
Modelga bogʻliq
Standart—
Maydonimages[].image_urlTurstringTalabQo‘llab-quvvatlanmaydiQiymatlar va cheklovlar
Dekodlangan baytlarning eng ko‘p soni: 20 971 520
MIME turlari: image/png, image/jpeg
Massivdagi rasmlarning eng ko‘p soni: 9
Shartlar: Har bir images[] obyektiga bitta haqiqiy URL. Massivdagi elementlar soni ushbu yakuniy satr maydonidan alohida tushunchadir.
Quyidagi holatda qo‘llanadi: Faqat JSON images/edits; JSON images/generations rasm referenslarini tahlil qilmaydi.
Standart—
MaydonimageTurfileTalabIxtiyoriyQiymatlar va cheklovlar
Dekodlangan baytlarning eng ko‘p soni: 20 971 520
MIME turlari: image/png, image/jpeg
Quyidagi holatda qo‘llanadi: multipart/form-data orqali yaratish
Standart—
Maydonimage[]Turfile[]TalabIxtiyoriyQiymatlar va cheklovlar
Elementlarning eng ko‘p soni: 9
Dekodlangan baytlarning eng ko‘p soni: 20 971 520
MIME turlari: image/png, image/jpeg
Quyidagi holatda qo‘llanadi: multipart/form-data orqali yaratish
Standart—
Kirish materiallari birikmalari

Matndan rasm · Majburiy: prompt

reference_images_generation · 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
Chiqish
0,075 US$ 1K o‘lchamdagi rasm uchun
Chiqish
0,075 US$ 2K o‘lchamdagi rasm uchun

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 →

Ma’lumot uchun tarif tafsilotlari

Modelning ma’lumot jadvallari usul tanlash, narx hisobi yoki to‘lovlarni o‘zgartirmaydi. Amaldagi to‘lovlar tanlangan Ailoot usuli tariflari bo‘yicha hisoblanadi.

wan2.7-image-pro

Sozlamalar bo‘yicha narxlar

SozlamaTo‘lovni hisoblash shartlariTo‘lov
Sozlamawan2.7-image-pro · Standart sozlamaTo‘lovni hisoblash shartlariStandart konfiguratsiyaTo‘lov
Kirish · Kirish 0,00 US$ har chaqiruv uchun
Chiqish · Chiqish 0,16 US$ har chaqiruv uchun

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": "wan2.7-image-pro", "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': 'wan2.7-image-pro', '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": "wan2.7-image-pro", "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 wan2.7-image-pro, wan-image, wan-image-latest

Usul yo‘llari taxalluslari

Yuqorida ko‘rsatilgan usul yo‘llaridan foydalaning.

Chaqirish uchun tegishli ID lar

wan2.7-image-pro, wan-image, wan-image-latest

Ailoot · Rasmlar POST /v1/images/generations wan-image

wan-image

Alibaba /wan-image
Model ID
  • wan2.7-image-pro
  • wan-image
  • wan-image-latest

Boshlash

Matnli topshiriq asosida tasvir yaratish modeli. Ishlab chiqaruvchi oddiy matndan yaratish uchun rang palitrasini boshqarish va 4K gacha aniqlikni ko‘zda tutadi.

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
wan-image
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—
Maydonpartial_imagesTurintegerTalabIxtiyoriyQiymatlar va cheklovlar
Modelga bogʻliq
Standart—
Maydonimages[].image_urlTurstringTalabQo‘llab-quvvatlanmaydiQiymatlar va cheklovlar
Dekodlangan baytlarning eng ko‘p soni: 20 971 520
MIME turlari: image/png, image/jpeg
Massivdagi rasmlarning eng ko‘p soni: 9
Shartlar: Har bir images[] obyektiga bitta haqiqiy URL. Massivdagi elementlar soni ushbu yakuniy satr maydonidan alohida tushunchadir.
Quyidagi holatda qo‘llanadi: Faqat JSON images/edits; JSON images/generations rasm referenslarini tahlil qilmaydi.
Standart—
MaydonimageTurfileTalabIxtiyoriyQiymatlar va cheklovlar
Dekodlangan baytlarning eng ko‘p soni: 20 971 520
MIME turlari: image/png, image/jpeg
Quyidagi holatda qo‘llanadi: multipart/form-data orqali yaratish
Standart—
Maydonimage[]Turfile[]TalabIxtiyoriyQiymatlar va cheklovlar
Elementlarning eng ko‘p soni: 9
Dekodlangan baytlarning eng ko‘p soni: 20 971 520
MIME turlari: image/png, image/jpeg
Quyidagi holatda qo‘llanadi: multipart/form-data orqali yaratish
Standart—
Kirish materiallari birikmalari

Matndan rasm · Majburiy: prompt

reference_images_generation · 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
Chiqish
0,075 US$ 1K o‘lchamdagi rasm uchun
Chiqish
0,075 US$ 2K o‘lchamdagi rasm uchun

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 →

Ma’lumot uchun tarif tafsilotlari

Modelning ma’lumot jadvallari usul tanlash, narx hisobi yoki to‘lovlarni o‘zgartirmaydi. Amaldagi to‘lovlar tanlangan Ailoot usuli tariflari bo‘yicha hisoblanadi.

wan2.7-image-pro

Sozlamalar bo‘yicha narxlar

SozlamaTo‘lovni hisoblash shartlariTo‘lov
Sozlamawan2.7-image-pro · Standart sozlamaTo‘lovni hisoblash shartlariStandart konfiguratsiyaTo‘lov
Kirish · Kirish 0,00 US$ har chaqiruv uchun
Chiqish · Chiqish 0,16 US$ har chaqiruv uchun

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": "wan-image", "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': 'wan-image', '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": "wan-image", "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 wan2.7-image-pro, wan-image, wan-image-latest

Usul yo‘llari taxalluslari

Yuqorida ko‘rsatilgan usul yo‘llaridan foydalaning.

Chaqirish uchun tegishli ID lar

wan2.7-image-pro, wan-image, wan-image-latest

Ailoot · Rasmlar POST /v1/images/generations wan-image-latest

wan-image-latest

Alibaba /wan-image-latest
Model ID
  • wan2.7-image-pro
  • wan-image
  • wan-image-latest

Boshlash

Matnli topshiriq asosida tasvir yaratish modeli. Ishlab chiqaruvchi oddiy matndan yaratish uchun rang palitrasini boshqarish va 4K gacha aniqlikni ko‘zda tutadi.

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
wan-image-latest
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—
Maydonpartial_imagesTurintegerTalabIxtiyoriyQiymatlar va cheklovlar
Modelga bogʻliq
Standart—
Maydonimages[].image_urlTurstringTalabQo‘llab-quvvatlanmaydiQiymatlar va cheklovlar
Dekodlangan baytlarning eng ko‘p soni: 20 971 520
MIME turlari: image/png, image/jpeg
Massivdagi rasmlarning eng ko‘p soni: 9
Shartlar: Har bir images[] obyektiga bitta haqiqiy URL. Massivdagi elementlar soni ushbu yakuniy satr maydonidan alohida tushunchadir.
Quyidagi holatda qo‘llanadi: Faqat JSON images/edits; JSON images/generations rasm referenslarini tahlil qilmaydi.
Standart—
MaydonimageTurfileTalabIxtiyoriyQiymatlar va cheklovlar
Dekodlangan baytlarning eng ko‘p soni: 20 971 520
MIME turlari: image/png, image/jpeg
Quyidagi holatda qo‘llanadi: multipart/form-data orqali yaratish
Standart—
Maydonimage[]Turfile[]TalabIxtiyoriyQiymatlar va cheklovlar
Elementlarning eng ko‘p soni: 9
Dekodlangan baytlarning eng ko‘p soni: 20 971 520
MIME turlari: image/png, image/jpeg
Quyidagi holatda qo‘llanadi: multipart/form-data orqali yaratish
Standart—
Kirish materiallari birikmalari

Matndan rasm · Majburiy: prompt

reference_images_generation · 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
Chiqish
0,075 US$ 1K o‘lchamdagi rasm uchun
Chiqish
0,075 US$ 2K o‘lchamdagi rasm uchun

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 →

Ma’lumot uchun tarif tafsilotlari

Modelning ma’lumot jadvallari usul tanlash, narx hisobi yoki to‘lovlarni o‘zgartirmaydi. Amaldagi to‘lovlar tanlangan Ailoot usuli tariflari bo‘yicha hisoblanadi.

wan2.7-image-pro

Sozlamalar bo‘yicha narxlar

SozlamaTo‘lovni hisoblash shartlariTo‘lov
Sozlamawan2.7-image-pro · Standart sozlamaTo‘lovni hisoblash shartlariStandart konfiguratsiyaTo‘lov
Kirish · Kirish 0,00 US$ har chaqiruv uchun
Chiqish · Chiqish 0,16 US$ har chaqiruv uchun

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": "wan-image-latest", "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': 'wan-image-latest', '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": "wan-image-latest", "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 wan2.7-image-pro, wan-image, wan-image-latest

Usul yo‘llari taxalluslari

Yuqorida ko‘rsatilgan usul yo‘llaridan foydalaning.

Chaqirish uchun tegishli ID lar

wan2.7-image-pro, wan-image, wan-image-latest

FAQ · wan2.7-image-pro
Qanday kirish ma’lumotlari va natijalar mavjud?

POST /v1/images/generations · wan2.7-image-pro: text → image

POST /v1/images/generations · wan-image: text → image

POST /v1/images/generations · wan-image-latest: text → image

So‘rov qaysi maydonlardan foydalanadi?

POST /v1/images/generations · wan2.7-image-pro: model, prompt, n, response_format, stream, image, image[]

POST /v1/images/generations · wan-image: model, prompt, n, response_format, stream, image, image[]

POST /v1/images/generations · wan-image-latest: model, prompt, n, response_format, stream, image, image[]

Qanday cheklovlar amal qiladi?

POST /v1/images/generations · wan2.7-image-pro: n.minimum: 1

POST /v1/images/generations · wan-image: n.minimum: 1

POST /v1/images/generations · wan-image-latest: n.minimum: 1

Batafsil

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

Kompaniya va uning loyihalar portfeli

Kompaniya va uning loyihalar portfeli: millionlab mijozlar; oylik sotuvlar hajmi milliardlarda.

Tokenlarni chegirma bilan xarid qiling.

Muntazam ish uchun obuna chegirmasi. Token xaridiga promokodlar — 50% gacha.

Obuna
Muntazam so‘rovlaringiz uchun chegirmali tarif tanlang.
50% gacha promokod
Xaridda kod kiriting. Narx amaldagi aksiya bilan qayta hisoblanadi.
Tarixdagi xarajatlar
Har so‘rov uchun model, token va summa saqlanadi.

Obuna tanlash · Model narxlarini ko‘rish

API’ni sotadigan mahsulotingizga ulang.

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.

Reseller litsenziyasini so‘rash · Oferta va litsenziya shartnomasi