hujjatlar
API

Images

Markdown

OpenAI Images formatida rasmlarni generatsiya qilish va tahrirlash.

To‘liq qo‘llanma
POSThttps://api.ailoot.ai/v1/images/generations
Images
curl https://api.ailoot.ai/v1/images/generations \
  -H "Authorization: Bearer $AILOOT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-image-2.5",
    "prompt": "Akvarel rasm: qoyadagi mayoq, tong",
    "size": "1024x1024"
  }' 
200 OK
{
  "created": 1790812800,
  "data": [
    { "url": "https://…/content" }
  ],
  "usage": { "input_tokens": 18, "output_tokens": 1056 }
}

Avtorizatsiya

  • Authorizationheadermajburiy

    Kalit quyidagi ko‘rinishda: Bearer sk-…. Quyidagi sarlavhalar ham mos keladi: x-api-key yoki x-goog-api-key.

So‘rov tanasi

  • modelstringmajburiy

    Rasm modeli: gpt-image-2.5-sunburst, gemini-3.1-flash-image, grok-imagine-image-2.0, qwen-image-3.0-pro, image-01, gpt-image-2, gemini-3.1-flash-lite-image, grok-imagine-image, wan2.7-image, gpt-image-2.5-sunburst-2026-09-08, gemini-3-pro-image, grok-imagine-image-quality va yana 4.

  • promptstringmajburiy

    Rasm tavsifi.

  • nintegerixtiyoriy

    Nechta rasm generatsiya qilish kerak. Har bir tayyor rasm uchun to‘lov olinadi.

  • sizestringixtiyoriy

    O‘lcham, masalan 1024x1024. Ruxsat etilgan o‘lchamlar modelga bog‘liq.

  • qualitystringixtiyoriy

    Sifat, agar model uni qo‘llab-quvvatlasa (masalan, low, medium, high).

  • response_formatstringixtiyoriy

    url yoki b64_json — agar model tanlashni qo‘llab-quvvatlasa.

Tahrirlash

POSThttps://api.ailoot.ai/v1/images/edits

So‘rov multipart/form-data: maydon image (bitta yoki bir nechta rasm), prompt, model, zarur bo‘lsa mask.

Javob

  • data[]array

    Tayyor rasmlar: havola url yoki ma’lumotlar b64_json, modelga qarab.

Tahrirlash · multipart/form-data

: "${AILOOT_IMAGE_EDIT_MODEL:?Select a model whose actual card or GET /v1/models method supports /v1/images/edits}"
curl --fail-with-body --max-time 300 \
  -D image-edit-headers.txt -o image-edit.json \
  https://api.ailoot.ai/v1/images/edits \
  -H "Authorization: Bearer $AILOOT_API_KEY" \
  -F "model=$AILOOT_IMAGE_EDIT_MODEL" \
  -F 'prompt=Keep the subject and replace the background with a sunset' \
  -F 'image=@input.png'

input.png → image-edit.json → data[] → url | b64_json

import base64
import json
import mimetypes
import os
from pathlib import Path
import time
from urllib.parse import urljoin, urlsplit
from urllib.request import Request, urlopen

origin = "https://api.ailoot.ai"
out = Path("image-edit-results")
out.mkdir(exist_ok=True)

def save_all(data):
    rows = data.get("data", [])
    if not rows:
        raise RuntimeError("No completed image data; keep the original response")
    for index, row in enumerate(rows, 1):
        if row.get("b64_json"):
            content = base64.b64decode(row["b64_json"], validate=True)
            suffix = ".png" if content.startswith(b"\x89PNG") else ".bin"
        elif row.get("url"):
            url = row["url"]
            if urlsplit(url).scheme != "https":
                raise ValueError("Expected the exact returned HTTPS image URL")
            # Signed result URLs are downloaded without sending the API key to another host.
            with urlopen(url, timeout=300) as response:
                content = response.read()
                suffix = mimetypes.guess_extension(response.headers.get_content_type()) or ".bin"
        else:
            raise RuntimeError("Image has neither url nor b64_json")
        (out / ("image-%03d" % index + suffix)).write_bytes(content)


with open("image-edit.json", encoding="utf-8") as response:
    save_all(json.load(response))

Images · async

OpenAI va Anthropic SDK’lari odatda tarmoq xatolari va 5xx javoblarni avtomatik takrorlaydi. Generatsiyalar uchun buni o‘chiring (max_retries=0) va tekshiring: X-Should-Retry — yangi urinishdan oldin. Javob yo‘qolishi so‘rov bajarilmaganini anglatmaydi.

import base64
import json
import mimetypes
import os
from pathlib import Path
import time
from urllib.parse import urljoin, urlsplit
from urllib.request import Request, urlopen

origin = "https://api.ailoot.ai"
key = os.environ["AILOOT_API_KEY"]
out = Path("image-results")
out.mkdir(exist_ok=True)

def api(url, payload=None):
    url = urljoin(origin, url)
    if urlsplit(url).scheme != "https" or urlsplit(url).netloc != "api.ailoot.ai":
        raise ValueError("Unexpected API origin")
    request = Request(url, data=None if payload is None else json.dumps(payload).encode(),
                      headers={"Authorization": "Bearer " + key, "Content-Type": "application/json"})
    with urlopen(request, timeout=300) as response:
        headers = dict(response.headers)
        data = json.load(response)
    (out / "response-headers.json").write_text(json.dumps(headers, indent=2))
    return data, headers

def save_all(data):
    rows = data.get("data", [])
    if not rows:
        raise RuntimeError("No completed image data; keep the original response")
    for index, row in enumerate(rows, 1):
        if row.get("b64_json"):
            content = base64.b64decode(row["b64_json"], validate=True)
            suffix = ".png" if content.startswith(b"\x89PNG") else ".bin"
        elif row.get("url"):
            url = row["url"]
            if urlsplit(url).scheme != "https":
                raise ValueError("Expected the exact returned HTTPS image URL")
            # Signed result URLs are downloaded without sending the API key to another host.
            with urlopen(url, timeout=300) as response:
                content = response.read()
                suffix = mimetypes.guess_extension(response.headers.get_content_type()) or ".bin"
        else:
            raise RuntimeError("Image has neither url nor b64_json")
        (out / ("image-%03d" % index + suffix)).write_bytes(content)

# One POST. If its result is unknown, preserve it and check history; do not rerun creation.
task, headers = api("/v1/images/generations/async", {
    "model": "gpt-image-2.5", "prompt": "Watercolor lighthouse at dawn", "size": "1024x1024"})
(out / "created-task.json").write_text(json.dumps(task, indent=2))
task_id = task.get("task_id") or task.get("id")
poll_url = task.get("poll_url") or headers.get("Location") or headers.get("location")
if not task_id or not poll_url:
    raise RuntimeError("Keep the create response and Request ID; do not submit again")

for poll in range(60):
    task, headers = api(poll_url)  # Read the original task with the same key.
    (out / "task-status.json").write_text(json.dumps(task, indent=2))
    if task.get("status") == "completed":
        result = task["result"]
        (out / "image-response.json").write_text(json.dumps(result, indent=2))
        save_all(result)
        break
    if task.get("status") == "failed":
        raise RuntimeError(json.dumps(task.get("error")))
    if task.get("status") != "processing" or task.get("result_pending_check"):
        raise RuntimeError("Keep the original task ID and check it later; no new POST")
    time.sleep(min(60, max(1, int(headers.get("Retry-After", headers.get("retry-after", "3"))))))
else:
    raise TimeoutError("Polling stopped; resume GET reads using created-task.json, never repeat POST")
Savollaringiz qoldimi? Request ID va tavsifni yuboring — tushunishga yordam beramiz.Yordam xizmatiga yozish