Images
MarkdownGeneriranje in urejanje slik v formatu OpenAI Images.
Celoten vodnik
https://api.ailoot.ai/v1/images/generationscurl https://api.ailoot.ai/v1/images/generations \
-H "Authorization: Bearer $AILOOT_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-image-2.5",
"prompt": "Akvarelna risba: svetilnik na pečini, zora",
"size": "1024x1024"
}' img = client.images.generate(
model="gpt-image-2.5",
prompt="Akvarelna risba: svetilnik na pečini, zora",
size="1024x1024",
)
print(img.data[0].url or "base64:", (img.data[0].b64_json or "")[:40]){
"created": 1790812800,
"data": [
{ "url": "https://…/content" }
],
"usage": { "input_tokens": 18, "output_tokens": 1056 }
}Avtentikacija
- Authorizationheaderobvezno
Ključ v obliki
Bearer sk-…. Uporabite lahko tudi glavix-api-keyalix-goog-api-key.
Telo zahteve
- modelstringobvezno
Slikovni model:
gpt-image-2.5-sunburst,gemini-3.1-flash-image,grok-imagine-image-2.0,qwen-image-3.0-pro,image-01,gpt-image-2,gemini-3.1-flash-lite-image,grok-imagine-image,wan2.7-image,gpt-image-2.5-sunburst-2026-09-08,gemini-3-pro-image,grok-imagine-image-qualityin še 4. - promptstringobvezno
Opis slike.
- nintegerneobvezno
Število slik za generiranje. Plača se vsaka dokončana slika.
- sizestringneobvezno
Velikost, na primer
1024x1024. Dovoljene velikosti so odvisne od modela. - qualitystringneobvezno
Kakovost, če jo model podpira (na primer,
low,medium,high). - response_formatstringneobvezno
urlalib64_json– če model omogoča izbiro.
Urejanje
https://api.ailoot.ai/v1/images/editsZahteva multipart/form-data: polje image (ena ali več slik), prompt, model, po potrebi mask.
Odgovor
- data[]array
Dokončane slike: povezava
urlali podatkib64_json, odvisno od modela.
Urejanje · multipart/form-data
: "${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
SDK-ji OpenAI in Anthropic običajno samodejno ponovijo zahteve pri omrežnih napakah in 5xx. Pri generiranju to izklopite (max_retries=0) in preverite X-Should-Retry pred novim poskusom. Izgubljen odgovor ne pomeni, da zahteva ni bila izvedena.
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")