Ideogram V3 Edit
集成
模型 id
ideogram/v3/edit
# 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/v3/edit?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"mask": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/ideogram/v3/edit?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"mask": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"mask": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/ideogram/v3/edit", 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/v3/edit",
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"mask": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
}
通过 Doitong API 调用 Ideogram V3 Edit 模型(ideogram/v3/edit)。智能体文档:https://doitong.com/zh/developers/models/ideogram/v3/edit.md
POST https://api.doitong.ru/v1/run/ideogram/v3/edit?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"mask": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
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/v3/edit,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。
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/v3/edit?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/v3/edit?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"mask": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/ideogram/v3/edit?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"mask": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"mask": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/ideogram/v3/edit", 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/v3/edit",
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"mask": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
},
"wait_seconds": 20
}
}
}
关于 Ideogram V3 Edit
根据 `prompt` 填充图像的蒙版区域。图像(`image_url`)和蒙版(`mask_url`)的尺寸必须完全相同。可通过参考图像、`style_codes`、`color_palette` 或 `style_preset` 引导风格。渲染速度可设为 TURBO、BALANCED 或 QUALITY,并可返回 1 到 8 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
image_urls可选
images
类型url[] · image
JPEG、PNG 或 WebP 格式的风格参考图像。合计大小不得超过 10 MB。
rendering_speed可选
类型enum
默认值BALANCED
TURBOBALANCEDQUALITY
渲染速度设置。
color_palette可选
类型object
生成过程中使用的调色板。可通过名称指定预设,或通过 members 指定显式十六进制颜色,也可以选择性包含权重。
color_palette.members可选
类型object[]
定义调色板颜色的调色板成员列表。
color_palette.members[].rgb必填
类型object
以 RGB 表示的调色板成员颜色。
color_palette.members[].color_weight可选
类型number | null
默认值0.5
0.05 – 1
在调色板中分配给该颜色的权重。
color_palette.name可选
类型enum
EMBERFRESHJUNGLEMAGICMELONMOSAICPASTELULTRAMARINE
调色板的预设选择。
style_codes可选
类型string[]
图像风格代码,以每个 8 字符的十六进制字符串提供;使用此列表时省略 style_reference_images 和 style。
expand_prompt可选
类型boolean
默认值true
请求生成的 MagicPrompt 使用开关。
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
随机数生成的种子值。
style_preset可选
类型enum
80S_ILLUSTRATION90S_NOSTALGIAABSTRACT_ORGANICANALOG_NOSTALGIAART_BRUTART_DECOART_POSTERAURAAVANT_GARDEBAUHAUSBLUEPRINTBLURRY_MOTIONBRIGHT_ARTC4D_CARTOONCHILDRENS_BOOKCOLLAGE
另外 46 个
COLORING_BOOK_ICOLORING_BOOK_IICUBISMDARK_AURADOODLEDOUBLE_EXPOSUREDRAMATIC_CINEMAEDITORIALEMOTIONAL_MINIMALETHEREAL_PARTYEXPIRED_FILMFLAT_ARTFLAT_VECTORFOREST_REVERIEGEO_MINIMALISTGLASS_PRISMGOLDEN_HOURGRAFFITI_IGRAFFITI_IIHALFTONE_PRINTHIGH_CONTRASTHIPPIE_ERAICONICJAPANDI_FUSIONJAZZYLONG_EXPOSUREMAGAZINE_EDITORIALMINIMAL_ILLUSTRATIONMIXED_MEDIAMONOCHROMENIGHTLIFEOIL_PAINTINGOLD_CARTOONSPAINT_GESTUREPOP_ARTRETRO_ETCHINGRIVIERA_POPSPOTLIGHT_80SSTYLIZED_REDSURREAL_COLLAGETRAVEL_POSTERVINTAGE_GEOVINTAGE_POSTERWATERCOLORWEIRDWOODBLOCK_PRINT其选择用于指导图像生成的风格预设。
prompt必填
类型string
描述图像遮罩区域填充内容的提示词。
image_url必填
image
类型url · image
以图像 URL 提供的生成源图像;宽度和高度都必须分别与蒙版对应尺寸完全相等。
mask_url必填
mask
类型url · image
通过 URL 提供的修复蒙版;宽度和高度都必须分别与输入图像对应尺寸完全相等。
必填
规范名称,也可接受
文件参数接受公开的 https:// URL、最大 10 MB 的 data: URI,或上传文件的 file_url。 文件
输出
GET /requests/req_8k2m4q7x1z9c3v5b6n0p2r4t
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "ideogram/v3/edit",
"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 red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"mask_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
},
"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 v3 变体
更多模型:图像编辑
对于 AI 代理:此页面的 Markdown 版本位于 https://doitong.com/zh/developers/models/ideogram/v3/edit.md. 所有模型和指南: https://doitong.com/developers/llms.txt






