Ideogram V4.5
ਇੰਟੀਗ੍ਰੇਟ ਕਰੋ
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.com/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.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/ideogram/v4.5?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Vintage travel poster for an imaginary island, bold art-deco lettering at the top that reads \"ISLA SERENA\", turquoise sea, white cliffs and a small sailboat, warm sunset gradient sky, screen-printed paper texture, the words \"Summer 1936\" at the bottom."
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/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/pa/developers/docs/mcp)
claude mcp add --transport http doitong-models https://api.doitong.com/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."
}
}
Doitong API ਰਾਹੀਂ Ideogram V4.5 ਮਾਡਲ (ideogram/v4.5) ਨੂੰ ਕਾਲ ਕਰੋ। ਏਜੰਟਾਂ ਲਈ ਦਸਤਾਵੇਜ਼: https://doitong.com/pa/developers/models/ideogram/v4.5.md
POST https://api.doitong.com/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."
}
ਜੇ ਜਵਾਬ ਦੀ ਸਥਿਤੀ "queued" ਜਾਂ "running" ਹੈ, ਤਾਂ GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 ਨੂੰ ਉਦੋਂ ਤੱਕ ਪੋਲ ਕਰੋ ਜਦੋਂ ਤੱਕ ਇਹ "succeeded" ਨਾ ਹੋ ਜਾਵੇ; ਫ਼ਾਈਲਾਂ outputs[].url ਵਿੱਚ ਹਨ। ਉਸੇ ਬਾਡੀ ਨਾਲ POST https://api.doitong.com/v1/quote/ideogram/v4.5 ਚਲਾਉਣ ’ਤੇ ਰਨ ਤੋਂ ਪਹਿਲਾਂ ਸਹੀ ਕੀਮਤ ਮਿਲ ਜਾਂਦੀ ਹੈ।
ਇਹ ਬੇਨਤੀ: $0.06 60 API ਕ੍ਰੈਡਿਟ ਇਸ ਪੰਨੇ ’ਤੇ ਚਲਾਓ
ਤੁਹਾਡੀ ਨਵੀਂ API ਕੁੰਜੀ। ਇਹ ਸਿਰਫ਼ ਹੁਣ ਦਿਖਾਈ ਜਾਂਦੀ ਹੈ ਅਤੇ ਪਹਿਲਾਂ ਹੀ ਕੋਡ ਅਤੇ ਹੇਠਾਂ ਦਿੱਤੇ API ਕੁੰਜੀ ਖੇਤਰ ਵਿੱਚ ਮੌਜੂਦ ਹੈ। ਇਸਨੂੰ ਗੁਪਤ ਰੱਖੋ: ਇਸਨੂੰ ਕਦੇ ਵੀ ਬ੍ਰਾਊਜ਼ਰ ਵਿੱਚ ਚੱਲਣ ਵਾਲੇ ਕੋਡ ਵਿੱਚ ਨਾ ਰੱਖੋ।
ਉਦਾਹਰਨਾਂ
ਰਿਕਵੈਸਟ ਬਣਾਓ
ਕੰਟਰੋਲ ਮਾਡਲ ਸਕੀਮਾ ਤੋਂ ਤਿਆਰ ਹੁੰਦੇ ਹਨ। ਤੁਸੀਂ ਬਦਲਾਅ ਕਰਦੇ ਹੀ ਕੋਡ ਅਤੇ ਕੀਮਤ ਅੱਪਡੇਟ ਹੋ ਜਾਂਦੇ ਹਨ।
/run/ideogram/v4.5?wait=20
ਕੋਟ → $0.06
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/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.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/ideogram/v4.5?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Vintage travel poster for an imaginary island, bold art-deco lettering at the top that reads \"ISLA SERENA\", turquoise sea, white cliffs and a small sailboat, warm sunset gradient sky, screen-printed paper texture, the words \"Summer 1936\" at the bottom."
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/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
}
}
}
ਇਹ ਬੇਨਤੀ ਚਲਾਓ
ਤੁਹਾਡੀ key ਇਸ ਬ੍ਰਾਊਜ਼ਰ ਵਿੱਚ ਰਹਿੰਦੀ ਹੈ: ਇਹ ਸਿਰਫ਼ Doitong API ਨੂੰ ਭੇਜੀ ਜਾਂਦੀ ਹੈ ਅਤੇ ਸਿਰਫ਼ ਤਾਂ ਹੀ (localStorage) ਵਿੱਚ ਸੁਰੱਖਿਅਤ ਹੁੰਦੀ ਹੈ ਜੇ ਤੁਸੀਂ Remember ਚੁਣੋ। API ਕੁੰਜੀ ਪ੍ਰਾਪਤ ਕਰੋ
Ideogram V4.5 ਬਾਰੇ
Ideogram V4.5 ਸਹੀ ਲੈਟਰਿੰਗ ਲਈ ਸਭ ਤੋਂ ਭਰੋਸੇਯੋਗ ਮਾਡਲਾਂ ਵਿੱਚੋਂ ਇੱਕ ਹੈ: ਲੋਗੋ, ਦੁਕਾਨਾਂ ਦੇ ਸਾਈਨ, ਪੋਸਟਰ ਅਤੇ ਸੋਸ਼ਲ ਗ੍ਰਾਫਿਕਸ, ਜਿਨ੍ਹਾਂ ਵਿੱਚ ਸ਼ਬਦ ਸਹੀ ਲਿਖੇ ਹੁੰਦੇ ਹਨ। ਘੱਟ, ਦਰਮਿਆਨੀ ਅਤੇ ਉੱਚ ਗੁਣਵੱਤਾ ਵੇਰਵੇ ਲਈ ਗਤੀ ਅਤੇ ਕੀਮਤ ਵਿੱਚ ਸਮਝੌਤਾ ਕਰਦੇ ਹਨ; ਚਿੱਤਰ ਦਾ ਆਕਾਰ ਕੀਮਤ ਨਹੀਂ ਬਦਲਦਾ। ਵਿਕਲਪਿਕ ਪ੍ਰੌਂਪਟ ਵਿਸਤਾਰ, ਇੱਕ ਸੀਡ, ਅਤੇ ਹਰ ਬੇਨਤੀ ਲਈ ਵੱਧ ਤੋਂ ਵੱਧ ਅੱਠ ਚਿੱਤਰ।
ਪੈਰਾਮੀਟਰ
ਕੈਨੋਨਿਕਲ ਨਾਮ ਜਾਂ ਨੇਟਿਵ ਨਾਮ ਵਿੱਚੋਂ ਕੋਈ ਇੱਕ ਭੇਜੋ, ਦੋਵੇਂ ਨਹੀਂ। ਕੈਨੋਨਿਕਲ ਨਾਮ
promptਲੋੜੀਂਦਾ
image_sizeਵਿਕਲਪਿਕ
qualityਵਿਕਲਪਿਕ
enable_prompt_expansionਵਿਕਲਪਿਕ
num_imagesਵਿਕਲਪਿਕ
num_outputs
seedਵਿਕਲਪਿਕ
ਆਉਟਪੁੱਟ
{
"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.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
ਆਉਟਪੁੱਟ ਦੇ ਫ਼ੀਲਡ
- images
- array of object {url, content_type, file_name, file_size}
- seed
- integerਰੈਂਡਮ ਨੰਬਰ ਸਿਰਜਣਾ ਲਈ ਵਰਤਿਆ ਜਾਣ ਵਾਲਾ ਸੀਡ ਮੁੱਲ।
ਹੋਰ Ideogram v4.5 ਵੈਰੀਐਂਟ
ਹੋਰ ਮਾਡਲ: ਟੈਕਸਟ ਤੋਂ ਚਿੱਤਰ
AI ਏਜੰਟਾਂ ਲਈ: ਇਹ ਪੰਨਾ Markdown ਵਜੋਂ ਇੱਥੇ ਹੈ https://doitong.com/pa/developers/models/ideogram/v4.5.md. ਸਾਰੇ ਮਾਡਲ ਅਤੇ ਗਾਈਡ: https://doitong.com/developers/llms.txt







