
Atitikmenų nėra. Pabandykite „video“, „FLUX“ arba „webhooks“.
Įkeliami modeliai…
dreamomni2/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/dreamomni2/edit?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
],
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/dreamomni2/edit?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
],
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
],
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/dreamomni2/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/lt/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": "dreamomni2/edit",
"input": {
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
],
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
}
Iškvieskite DreamOmni2 modelį (dreamomni2/edit) per Doitong API. Dokumentacija agentams: https://doitong.com/lt/developers/models/dreamomni2/edit.md
POST https://api.doitong.com/v1/run/dreamomni2/edit?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
],
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
Jei atsakymo būsena yra "queued" arba "running", siųskite GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 užklausas, kol būsena taps "succeeded"; failai pateikiami outputs[].url. POST https://api.doitong.com/v1/quote/dreamomni2/edit su tuo pačiu turiniu grąžina tikslią kainą prieš paleidimą.
Ši užklausa: 0,05 $ 50 API kreditų Paleisti šiame puslapyje
Jūsų naujas API raktas. Jis rodomas tik dabar ir jau įrašytas kode bei toliau esančiame API rakto lauke. Saugokite jį paslaptyje: niekada nedėkite jo į kodą, kuris vykdomas naršyklėje.
Sukurkite užklausą toliau ir paleiskite ją naudodami savo API raktą. Išvestys nukopijuojamos į mūsų saugyklą ir saugomos neribotą laiką arba 7 dienos nemokamai.
Valdikliai sugeneruojami pagal modelio schemą. Keisdami juos atnaujinsite kodą ir kainą.
/run/dreamomni2/edit?wait=20
kaina → 0,05 $
# 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/dreamomni2/edit?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
],
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/dreamomni2/edit?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
],
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
],
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/dreamomni2/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": "dreamomni2/edit",
"input": {
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
],
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
},
"wait_seconds": 20
}
}
}
Jūsų raktas lieka šioje naršyklėje: jis siunčiamas tik į Doitong API ir išsaugomas (localStorage) tik pažymėjus Prisiminti. Gauti API raktą
Priima šaltinio vaizdų sąrašą `image_urls` ir tekstinį `prompt`, aprašantį norimą pakeitimą. Tinka instrukcijomis grindžiamam redagavimui, kai rezultatą valdo keli nuorodiniai vaizdai. Grąžinamas vienas redaguotas vaizdas. Saugos tikrintuvas pagal numatytuosius nustatymus įjungtas.
Siųskite arba kanoninį, arba savąjį pavadinimą, bet ne abu. Kanoniniai pavadinimai
image_urlsprivaloma
images
promptprivaloma
enable_safety_checkerneprivalomas
Failų parametrams reikia viešo https:// URL, ne didesnio nei 10 MB data: URI arba įkelto failo file_url. Failai
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "dreamomni2/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": 50,
"usd": "0.05",
"charged": 50,
"refunded": 0
},
"input": {
"image_urls": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
],
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
},
"output": {
"image": {
"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"
}
}
AI agentams: šis puslapis Markdown formatu pateikiamas adresu https://doitong.com/lt/developers/models/dreamomni2/edit.md. Visi modeliai ir vadovai: https://doitong.com/developers/llms.txt