Images
MarkdownGenerering och redigering av bilder i OpenAI Images-format.
Fullständig guide
https://api.ailoot.ai/v1/images/generationscurl https://api.ailoot.ai/v1/images/generations \
-H "Authorization: Bearer $AILOOT_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-image-2.5",
"prompt": "Akvarellmålning: en fyr på en klippa i gryningen",
"size": "1024x1024"
}' img = client.images.generate(
model="gpt-image-2.5",
prompt="Akvarellmålning: en fyr på en klippa i gryningen",
size="1024x1024",
)
print(img.data[0].url or "base64:", (img.data[0].b64_json or "")[:40]){
"created": 1790812800,
"data": [
{ "url": "https://…/content" }
],
"usage": { "input_tokens": 18, "output_tokens": 1056 }
}Autentisering
- Authorizationheaderobligatoriskt
Nyckel i formatet
Bearer sk-…. Även följande headers kan användasx-api-keyellerx-goog-api-key.
Anropskropp
- modelstringobligatoriskt
Bildmodell:
gpt-image-2.5-sunburst,gemini-3.1-flash-image,grok-imagine-image-2.0,qwen-image-3.0-pro,image-01,gpt-image-2,gemini-3.1-flash-lite-image,grok-imagine-image,wan2.7-image,gpt-image-2.5-sunburst-2026-09-08,gemini-3-pro-image,grok-imagine-image-qualityoch ytterligare 4. - promptstringobligatoriskt
Beskrivning av bilden.
- nintegervalfritt
Antal bilder som ska genereras. Varje färdig bild debiteras.
- sizestringvalfritt
Storlek, till exempel
1024x1024. Tillåtna storlekar beror på modellen. - qualitystringvalfritt
Kvalitet, om modellen stöder det (till exempel
low,medium,high). - response_formatstringvalfritt
urlellerb64_json— om modellen stöder val.
Redigering
https://api.ailoot.ai/v1/images/editsAnrop multipart/form-data: fältet image (en eller flera bilder), prompt, model, vid behov mask.
Svar
- data[]array
Färdiga bilder: länken
urleller datab64_json, beroende på modellen.
Redigering · multipart/form-data
: "${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:s och Anthropics SDK:er upprepar vanligen nätverksfel och 5xx automatiskt. Stäng av detta vid generering (max_retries=0) och kontrollera X-Should-Retry före ett nytt försök. Ett förlorat svar betyder inte att anropet inte utfördes.
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")