Ideogram V4.5
Integrer
ideogram/v4.5
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/ideogram/v4.5?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "Vintage travel poster for an imaginary island, bold art-deco lettering at the top that reads \"ISLA SERENA\", turquoise sea, white cliffs and a small sailboat, warm sunset gradient sky, screen-printed paper texture, the words \"Summer 1936\" at the bottom."
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/ideogram/v4.5?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Vintage travel poster for an imaginary island, bold art-deco lettering at the top that reads \"ISLA SERENA\", turquoise sea, white cliffs and a small sailboat, warm sunset gradient sky, screen-printed paper texture, the words \"Summer 1936\" at the bottom."
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "Vintage travel poster for an imaginary island, bold art-deco lettering at the top that reads \"ISLA SERENA\", turquoise sea, white cliffs and a small sailboat, warm sunset gradient sky, screen-printed paper texture, the words \"Summer 1936\" at the bottom.",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/ideogram/v4.5", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])
# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
# 1. Connect once (Claude Code; Cursor, VS Code, Claude Desktop: https://doitong.com/da/developers/docs/mcp)
claude mcp add --transport http doitong-models https://api.doitong.ru/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "ideogram/v4.5",
"input": {
"prompt": "Vintage travel poster for an imaginary island, bold art-deco lettering at the top that reads \"ISLA SERENA\", turquoise sea, white cliffs and a small sailboat, warm sunset gradient sky, screen-printed paper texture, the words \"Summer 1936\" at the bottom."
}
}
Kald Ideogram V4.5-modellen (ideogram/v4.5) via Doitong API. Dokumentation til agenter: https://doitong.com/da/developers/models/ideogram/v4.5.md
POST https://api.doitong.ru/v1/run/ideogram/v4.5?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"prompt": "Vintage travel poster for an imaginary island, bold art-deco lettering at the top that reads \"ISLA SERENA\", turquoise sea, white cliffs and a small sailboat, warm sunset gradient sky, screen-printed paper texture, the words \"Summer 1936\" at the bottom."
}
Hvis svarstatus er "queued" eller "running", skal du forespørge GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 igen, indtil den er "succeeded"; filerne findes i outputs[].url. POST https://api.doitong.ru/v1/quote/ideogram/v4.5 med samme body returnerer den nøjagtige pris før kørslen.
Denne anmodning: 0,06 $ 60 API-kreditter · ≈ 6,33 ₽ Kør den på denne side
Din nye API-nøgle. Den vises kun nu og findes allerede i koden og i feltet til API-nøglen nedenfor. Hold den hemmelig: Anbring den aldrig i kode, der kører i en browser.
Eksempler
Opret en anmodning
Kontrollerne genereres fra modellens skema. Koden og prisen opdateres, når du ændrer dem.
/run/ideogram/v4.5?wait=20
pris → 0,06 $
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/ideogram/v4.5?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "Vintage travel poster for an imaginary island, bold art-deco lettering at the top that reads \"ISLA SERENA\", turquoise sea, white cliffs and a small sailboat, warm sunset gradient sky, screen-printed paper texture, the words \"Summer 1936\" at the bottom."
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/ideogram/v4.5?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Vintage travel poster for an imaginary island, bold art-deco lettering at the top that reads \"ISLA SERENA\", turquoise sea, white cliffs and a small sailboat, warm sunset gradient sky, screen-printed paper texture, the words \"Summer 1936\" at the bottom."
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "Vintage travel poster for an imaginary island, bold art-deco lettering at the top that reads \"ISLA SERENA\", turquoise sea, white cliffs and a small sailboat, warm sunset gradient sky, screen-printed paper texture, the words \"Summer 1936\" at the bottom.",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/ideogram/v4.5", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])
# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "run",
"arguments": {
"model_id": "ideogram/v4.5",
"input": {
"prompt": "Vintage travel poster for an imaginary island, bold art-deco lettering at the top that reads \"ISLA SERENA\", turquoise sea, white cliffs and a small sailboat, warm sunset gradient sky, screen-printed paper texture, the words \"Summer 1936\" at the bottom."
},
"wait_seconds": 20
}
}
}
Kør denne anmodning
Din nøgle forbliver i denne browser: Den sendes kun til Doitong API og gemmes kun i localStorage, hvis du markerer Husk. Hent en API-nøgle
Om Ideogram V4.5
Ideogram V4.5 er en af de mest pålidelige modeller til præcis tekst: logoer, butiksskilte, plakater og social grafik med korrekt stavede ord. Lav, mellem og høj kvalitet afvejer hastighed og pris mod detaljer; billedets størrelse ændrer ikke prisen. Valgfri promptudvidelse, en seed og op til otte billeder pr. anmodning.
Parametre
Send enten det kanoniske navn eller det oprindelige navn, ikke begge. Kanoniske navne
promptpåkrævet
image_sizevalgfri
qualityvalgfri
enable_prompt_expansionvalgfri
num_imagesvalgfri
num_outputs
seedvalgfri
Output
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "ideogram/v4.5",
"status": "succeeded",
"created_at": "2026-10-20T12:00:00Z",
"started_at": "2026-10-20T12:00:02Z",
"completed_at": "2026-10-20T12:00:09Z",
"queue_position": null,
"cost": {
"credits": 60,
"usd": "0.06",
"charged": 60,
"refunded": 0
},
"input": {
"prompt": "A colorful storefront with a neon sign reading \"Night Owl Coffee\", rainy street reflections",
"quality": "medium",
"image_size": "landscape_4_3"
},
"output": {
"images": [
{
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
}
],
"seed": 42
},
"outputs": [
{
"type": "image",
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_size": 1843200,
"width": 1024,
"height": 768,
"stored": true
}
],
"error": null,
"metrics": {
"inference_seconds": 6.8
},
"urls": {
"self": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
Outputfelter
- images
- array of object {url, content_type, file_name, file_size}
- seed
- integerSeed-værdi, der bruges til generering af tilfældige tal.
Andre Ideogram v4.5-varianter
Flere modeller: Tekst til billede
Til AI-agenter: Denne side som Markdown findes på https://doitong.com/da/developers/models/ideogram/v4.5.md. Alle modeller og vejledninger: https://doitong.com/developers/llms.txt







