Images
MarkdownGenerering og redigering av bilder i OpenAI Images-format.
Fullstendig guide
https://api.ailoot.ai/v1/images/generationscurl https://api.ailoot.ai/v1/images/generations \
-H "Authorization: Bearer $AILOOT_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-image-2.5",
"prompt": "Akvarelltegning: et fyrtårn på en klippe, daggry",
"size": "1024x1024"
}' img = client.images.generate(
model="gpt-image-2.5",
prompt="Akvarelltegning: et fyrtårn på en klippe, daggry",
size="1024x1024",
)
print(img.data[0].url or "base64:", (img.data[0].b64_json or "")[:40]){
"created": 1790812800,
"data": [
{ "url": "https://…/content" }
],
"usage": { "input_tokens": 18, "output_tokens": 1056 }
}Autentisering
- Authorizationheaderpåkrevd
Nøkkel i formatet
Bearer sk-…. Du kan også bruke headernex-api-keyellerx-goog-api-key.
Forespørselskropp
- modelstringpåkrevd
Bildemodell:
gpt-image-2.5-sunburst,gemini-3.1-flash-image,grok-imagine-image-2.0,qwen-image-3.0-pro,image-01,gpt-image-2,gemini-3.1-flash-lite-image,grok-imagine-image,wan2.7-image,gpt-image-2.5-sunburst-2026-09-08,gemini-3-pro-image,grok-imagine-image-qualityog ytterligere 4. - promptstringpåkrevd
Beskrivelse av bildet.
- nintegervalgfri
Antall bilder som skal genereres. Hvert ferdig bilde belastes.
- sizestringvalgfri
Størrelse, for eksempel
1024x1024. Gyldige størrelser avhenger av modellen. - qualitystringvalgfri
Kvalitet hvis modellen støtter det (for eksempel
low,medium,high). - response_formatstringvalgfri
urlellerb64_json— hvis modellen støtter valg.
Redigering
https://api.ailoot.ai/v1/images/editsForespørsel multipart/form-data: feltet image (ett eller flere bilder), prompt, model, ved behov mask.
Svar
- data[]array
Ferdige bilder: lenke
urleller datab64_json, avhengig av modellen.
Redigering · multipart/form-data
: "${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- og Anthropic-SDK-er gjentar vanligvis nettverksfeil og 5xx automatisk. Deaktiver dette ved generering (max_retries=0) og kontroller X-Should-Retry før et nytt forsøk. Et tapt svar betyr ikke at forespørselen ikke ble utført.
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")