Ideogram V4.5
Intégrer
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/fr/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."
}
}
Appelez le modèle Ideogram V4.5 (ideogram/v4.5) via la Doitong API. Documentation pour les agents : https://doitong.com/fr/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."
}
Si le statut de la réponse est "queued" ou "running", interrogez GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 jusqu’à ce qu’il soit "succeeded" ; les fichiers se trouvent dans outputs[].url. POST https://api.doitong.ru/v1/quote/ideogram/v4.5 avec le même corps renvoie le prix exact avant l’exécution.
Cette requête: 0,06 $ 60 crédits API · ≈ 6,33 ₽ L’exécuter sur cette page
Votre nouvelle clé API. Elle n’est affichée que maintenant et figure déjà dans le code et dans le champ de clé API ci-dessous. Gardez-la secrète : ne l’intégrez jamais dans du code exécuté dans un navigateur.
Exemples
Créer une requête
Les contrôles sont générés à partir du schéma du modèle. Le code et le prix se mettent à jour lorsque vous les modifiez.
/run/ideogram/v4.5?wait=20
devis → 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
}
}
}
Exécuter cette requête
Votre clé reste dans ce navigateur : elle est envoyée uniquement à la Doitong API et enregistrée dans localStorage uniquement si vous cochez Mémoriser. Obtenir une clé API
À propos de Ideogram V4.5
Ideogram V4.5 est l'un des modèles les plus fiables pour le lettrage exact : logos, enseignes, affiches et visuels sociaux dont les mots sont correctement orthographiés. Les qualités faible, moyenne et élevée arbitrent vitesse et prix contre niveau de détail ; la taille de l'image ne modifie pas le prix. Expansion facultative du prompt, graine et jusqu'à huit images par requête.
Paramètres
Envoyez soit le nom canonique, soit le nom natif, mais pas les deux. Noms canoniques
promptrequis
image_sizefacultatif
qualityfacultatif
enable_prompt_expansionfacultatif
num_imagesfacultatif
num_outputs
seedfacultatif
Sortie
{
"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"
}
}
Champs de sortie
- images
- array of object {url, content_type, file_name, file_size}
- seed
- integerValeur de graine utilisée pour la génération de nombres aléatoires.
Autres variantes Ideogram v4.5
Plus de modèles : Texte vers image
Pour les agents IA : cette page au format Markdown est disponible à https://doitong.com/fr/developers/models/ideogram/v4.5.md. Tous les modèles et guides : https://doitong.com/developers/llms.txt







