
Kāore he ōrite. Whakamātauria “video”, “FLUX” rānei “webhooks”.
E uta ana ngā tauira…
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/mi/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"
]
}
}
Karangahia te tauira Seedream 5.0 Pro Edit (bytedance/seedream/v5/pro/edit) mā te Doitong API. Tuhinga mō ngā āpiha: https://doitong.com/mi/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"
]
}
Mēnā ko "queued" "running" rānei te tūnga whakautu, uiuitia GET https://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20 kia "succeeded"; kei outputs[].url ngā kōnae. Ko POST https://vit.doitong.com/api/v1/quote/bytedance/seedream/v5/pro/edit me taua tinana anō ka whakahoki i te utu tika i mua i te whakahaere.
Ngā kōnae pēnei i te tauira: $ 0.14 140 whiwhinga API ka inea ō kōnae i mua i te whakahaere Whakahaerehia ki tēnei whārangi
Tō kī API hou. Ka whakaaturia ināianei anake, ā, kua whakaurua kētia ki te waehere me te āpure kī API kei raro. Me huna: kaua rawa e waiho ki te waehere e whakahaere ana i roto i te pūtirotiro.
Hangaia he tono ki raro nei, ka whakahaere mā tō kī API. Ka tāruatia ngā putanga ki tō mātou rokiroki, ka puritia mō ake tonu atu, mō rānei 7 rā mō te kore utu.
Ka hangaia ngā mana whakahaere mai i te aronuinga o te tauira. Ka whakahoungia te waehere me te utu ina whakarerekē koe.
/run/bytedance/seedream/v5/pro/edit?wait=20
utu → $ 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
}
}
}
Ka noho tō kī ki tēnei pūtirotiro: ka tukuna ki te Doitong API anake, ā, ka tiakina ki te localStorage anake ina tohua e koe te Mahara. Tikina he kī API
Hoatu ki Seedream 5.0 Pro kia tekau ngā atahanga tohutoro (ngā hua, ngā waitohu, ngā tāngata, ngā wāhi) ka whakaahua hoki me pēhea te whakakotahi me te whakarerekē; ka ū tonu ki ngā rawa me ngā tuhi. He 1 ki te 4 megapika te putanga, tae atu ki te ono atahanga mō ia tono.
Tukuna te ingoa tōmua, te ingoa taketake rānei, kaua e rua. Ngā ingoa tōmua
prompte hiahiatia ana
image_sizekōwhiringa
num_imageskōwhiringa
num_outputs
output_formatkōwhiringa
enhance_prompt_modekōwhiringa
image_urlse hiahiatia ana
images
Mō ngā tawhā kōnae, whakamahia he URL tūmatanui https://, he URI data: tae atu ki te 10 MB, he file_url rānei o tētahi tukuake. Ngā kōnae
{
"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"
}
}
Mō ngā āpiha AI: kei te wātea tēnei whārangi hei Markdown ki https://doitong.com/mi/developers/models/bytedance/seedream/v5/pro/edit.md. Ngā tauira me ngā aratohu katoa: https://doitong.com/developers/llms.txt