Ideogram V4.5
集成
模型 id
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/zh/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."
}
}
通过 Doitong API 调用 Ideogram V4.5 模型(ideogram/v4.5)。智能体文档:https://doitong.com/zh/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."
}
如果响应状态为 "queued" 或 "running",请轮询 GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20,直到状态变为 "succeeded";文件位于 outputs[].url。使用相同请求体 POST https://api.doitong.ru/v1/quote/ideogram/v4.5,可在运行前返回确切价格。
此请求: $0.06 60 API 积分 · ≈ ₽6.33 在此页面运行
你的新 API 密钥。 它仅在此时显示,并且已填入下方的代码和 API 密钥字段中。请妥善保密:切勿将其放入在浏览器中运行的代码。
示例
输出 · ~16 秒
构建请求
控件根据模型架构生成。更改控件时,代码和价格会同步更新。
POST
/run/ideogram/v4.5?wait=20
报价 → $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
}
}
}
关于 Ideogram V4.5
Ideogram V4.5 是最可靠的精确文字模型之一:可生成文字拼写正确的徽标、店铺招牌、海报和社交媒体图形。低、中和高质量模式以速度和价格换取细节;图像尺寸不会改变价格。支持可选提示词扩展、种子和每个请求最多八张图像。
参数
发送规范名称或原生名称之一,不要同时发送两者。 规范名称
名称类型
默认值允许值
描述
prompt必填
类型string
≤ 10,000 个字符
描述生成或编辑操作的提示词。
image_size可选
类型object
默认值square_hd
square_hdsquareportrait_4_3portrait_16_9landscape_4_3landscape_16_9
可以使用以下受支持的尺寸之一显式指定输出尺寸:1024x1024、1024x3072、1120x896、1152x2944、1152x864、1248x3328、1248x832、1280x3072、1280x720、1280x800、1296x3168、1440x2560、1440x2880、1440x720、1600x2560、1664x2496、1728x2304、1792x2240、2048x2048、2240x1792、2304x1728、2496x1664、2560x1440、2560x1600、2880x1440、2944x1152、3072x1024、3072x1280、3168x1296、3328x1248、720x1280、720x1440、800x1280、832x1248、864x1152、896x1120。对于预设,16:9 对应 1280x720 或 720x1280,4:3 对应 1152x864 或 864x1152。选择 square 则使用 1024x1024 的 square_hd。
quality可选
类型enum
默认值medium
lowmediumhigh
文生图生成的质量设置。
enable_prompt_expansion可选
类型boolean
默认值true
控制合作方是否扩展提示词。
num_images可选
num_outputs
类型integer
默认值1
1 – 8
要生成的图像数量。
seed可选
类型integer | null
随机种子;省略时自动选择。
必填
规范名称,也可接受
输出
GET /requests/req_8k2m4q7x1z9c3v5b6n0p2r4t
{
"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"
}
}
你的文件,由你选择每个 outputs[].url 都是存储中的副本:可永久保存(按 GB-月付费),也可免费保存 7 天,由账户设置或 ?storage= 决定。
每个模型的结构相同图像、视频和音频均包含 type、url、content_type、width、height 和 duration。output 是模型自身的结果对象。
输出字段
- images
- array of object {url, content_type, file_name, file_size}
- seed
- integer用于随机数生成的种子值。
其他 Ideogram v4.5 变体
更多模型:文生图
对于 AI 代理:此页面的 Markdown 版本位于 https://doitong.com/zh/developers/models/ideogram/v4.5.md. 所有模型和指南: https://doitong.com/developers/llms.txt







