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در حال بارگذاری مدلها…
bytedance/seedream/v5/pro/edit
# 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/bytedance/seedream/v5/pro/edit?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "Place the sneaker from image 1 on the desk of the office from image 2, natural lighting",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg",
"https://content.doitong.com/images/gp/image_20260610003801_541d9719_316882.png"
]
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/bytedance/seedream/v5/pro/edit?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Place the sneaker from image 1 on the desk of the office from image 2, natural lighting",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg",
"https://content.doitong.com/images/gp/image_20260610003801_541d9719_316882.png"
]
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "Place the sneaker from image 1 on the desk of the office from image 2, natural lighting",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg",
"https://content.doitong.com/images/gp/image_20260610003801_541d9719_316882.png",
],
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/bytedance/seedream/v5/pro/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/fa/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": "bytedance/seedream/v5/pro/edit",
"input": {
"prompt": "Place the sneaker from image 1 on the desk of the office from image 2, natural lighting",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg",
"https://content.doitong.com/images/gp/image_20260610003801_541d9719_316882.png"
]
}
}
مدل Seedream 5.0 Pro Edit (bytedance/seedream/v5/pro/edit) را از طریق Doitong API فراخوانی کنید. مستندات عاملها: https://doitong.com/fa/developers/models/bytedance/seedream/v5/pro/edit.md
POST https://api.doitong.com/v1/run/bytedance/seedream/v5/pro/edit?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"prompt": "Place the sneaker from image 1 on the desk of the office from image 2, natural lighting",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg",
"https://content.doitong.com/images/gp/image_20260610003801_541d9719_316882.png"
]
}
اگر وضعیت پاسخ "queued" یا "running" است، GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 را تا زمانی که وضعیت "succeeded" شود بهطور دورهای فراخوانی کنید؛ فایلها در outputs[].url قرار دارند. ارسال POST https://api.doitong.com/v1/quote/bytedance/seedream/v5/pro/edit با همان بدنه، قیمت دقیق را پیش از اجرا برمیگرداند.
فایلهایی مانند نمونه: $۰٫۱۴ ۱۴۰ اعتبار API فایلهای شما پیش از اجرا اندازهگیری میشوند اجرای آن در این صفحه
کلید API جدید شما. این کلید فقط همین حالا نمایش داده میشود و از قبل در کد و فیلد کلید API زیر قرار گرفته است. آن را محرمانه نگه دارید: هرگز آن را در کدی که در مرورگر اجرا میشود قرار ندهید.
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کنترلها از شِمای مدل تولید میشوند. با تغییر آنها، کد و قیمت بهروزرسانی میشوند.
/run/bytedance/seedream/v5/pro/edit?wait=20
قیمت → $۰٫۱۴
# 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/bytedance/seedream/v5/pro/edit?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "Place the sneaker from image 1 on the desk of the office from image 2, natural lighting",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg",
"https://content.doitong.com/images/gp/image_20260610003801_541d9719_316882.png"
]
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/bytedance/seedream/v5/pro/edit?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Place the sneaker from image 1 on the desk of the office from image 2, natural lighting",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg",
"https://content.doitong.com/images/gp/image_20260610003801_541d9719_316882.png"
]
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "Place the sneaker from image 1 on the desk of the office from image 2, natural lighting",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg",
"https://content.doitong.com/images/gp/image_20260610003801_541d9719_316882.png",
],
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/bytedance/seedream/v5/pro/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": "bytedance/seedream/v5/pro/edit",
"input": {
"prompt": "Place the sneaker from image 1 on the desk of the office from image 2, natural lighting",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg",
"https://content.doitong.com/images/gp/image_20260610003801_541d9719_316882.png"
]
},
"wait_seconds": 20
}
}
}
کلید شما در این مرورگر باقی میماند: فقط به Doitong API ارسال میشود و فقط در صورت فعالکردن گزینه «یادآوری»، در localStorage ذخیره میشود. دریافت کلید API
حداکثر ده تصویر مرجع (محصولات، لوگوها، افراد، مکانها) به Seedream 5.0 Pro بدهید و نحوه ترکیب یا تغییر آنها را توضیح دهید؛ مدل به جنس و نوشتهها وفادار میماند. خروجی بین 1 تا 4 مگاپیکسل است و حداکثر شش تصویر در هر درخواست تولید میکند.
نام استاندارد یا نام بومی را ارسال کنید، نه هر دو. نامهای استاندارد
promptالزامی
image_sizeاختیاری
num_imagesاختیاری
num_outputs
output_formatاختیاری
enhance_prompt_modeاختیاری
image_urlsالزامی
images
پارامترهای فایل یک URL عمومی https://، یک URI از نوع data: تا سقف 10 MB، یا file_url یک فایل بارگذاریشده را میپذیرند. فایلها
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "bytedance/seedream/v5/pro/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": 140,
"usd": "0.14",
"charged": 140,
"refunded": 0
},
"input": {
"prompt": "Place the sneaker from image 1 on the desk of the office from image 2, natural lighting",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg",
"https://content.doitong.com/images/gp/image_20260610003801_541d9719_316882.png"
]
},
"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,
"width": 1024,
"height": 768
}
]
},
"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"
}
}
برای عاملهای هوش مصنوعی: این صفحه بهصورت Markdown در دسترس است https://doitong.com/fa/developers/models/bytedance/seedream/v5/pro/edit.md. همه مدلها و راهنماها: https://doitong.com/developers/llms.txt