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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://vit.doitong.com/api/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://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://vit.doitong.com/api/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/bytedance/seedream/v5/pro/edit?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Place the sneaker from image 1 on the desk of the office from image 2, natural lighting",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg",
"https://content.doitong.com/images/gp/image_20260610003801_541d9719_316882.png"
]
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://vit.doitong.com/api/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/developers/docs/mcp)
claude mcp add --transport http doitong-models https://vit.doitong.com/api/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"
]
}
}
Call the Seedream 5.0 Pro Edit model (bytedance/seedream/v5/pro/edit) through the Doitong API. Docs for agents: https://doitong.com/developers/models/bytedance/seedream/v5/pro/edit.md
POST https://vit.doitong.com/api/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"
]
}
If the response status is "queued" or "running", poll GET https://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20 until it is "succeeded"; the files are in outputs[].url. POST https://vit.doitong.com/api/v1/quote/bytedance/seedream/v5/pro/edit with the same body returns the exact price before the run.
Files like the example: $0.14 140 API credits your files are measured before the run Run it on this page
Your new API key. It is shown only now and is already in the code and in the API key field below. Keep it secret: never put it in code that runs in a browser.
Build a request below and run it with your API key. Outputs are copied to our storage, kept forever or 7 days for free.
Controls are generated from the model schema. The code and the price update as you change them.
/run/bytedance/seedream/v5/pro/edit?wait=20
quote → $0.14
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://vit.doitong.com/api/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://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://vit.doitong.com/api/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/bytedance/seedream/v5/pro/edit?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Place the sneaker from image 1 on the desk of the office from image 2, natural lighting",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg",
"https://content.doitong.com/images/gp/image_20260610003801_541d9719_316882.png"
]
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://vit.doitong.com/api/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
}
}
}
Your key stays in this browser: it is sent only to the Doitong API and saved (localStorage) only if you tick Remember. Get an API key
Give Seedream 5.0 Pro up to ten reference images (products, logos, people, places) and describe how to combine or change them; it keeps materials and lettering faithful. Output between 1 and 4 megapixels, up to six images per request.
Send either the canonical name or the native name, not both. Canonical names
promptrequired
image_sizeoptional
num_imagesoptional
num_outputs
output_formatoptional
enhance_prompt_modeoptional
image_urlsrequired
images
File parameters take a public https:// URL, a data: URI up to 10 MB, or the file_url of an upload. Files
{
"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://vit.doitong.com/api/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://vit.doitong.com/api/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
For AI agents: this page as Markdown is at https://doitong.com/developers/models/bytedance/seedream/v5/pro/edit.md. All models and guides: https://doitong.com/developers/llms.txt