Avatars Text to Video
Whakauru
argil/avatars/text-to-video
# 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/argil/avatars/text-to-video?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"avatar": "Mia outdoor (UGC)",
"text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"voice": "Rachel"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/argil/avatars/text-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"avatar": "Mia outdoor (UGC)",
"text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"voice": "Rachel"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"avatar": "Mia outdoor (UGC)",
"text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"voice": "Rachel",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/argil/avatars/text-to-video", 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://api.doitong.ru/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "argil/avatars/text-to-video",
"input": {
"avatar": "Mia outdoor (UGC)",
"text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"voice": "Rachel"
}
}
Karangahia te tauira Avatars Text to Video (argil/avatars/text-to-video) mā te Doitong API. Tuhinga mō ngā āpiha: https://doitong.com/mi/developers/models/argil/avatars/text-to-video.md
POST https://api.doitong.ru/v1/run/argil/avatars/text-to-video?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"avatar": "Mia outdoor (UGC)",
"text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"voice": "Rachel"
}
Mēnā ko "queued" "running" rānei te tūnga whakautu, uiuitia GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 kia "succeeded"; kei outputs[].url ngā kōnae. Ko POST https://api.doitong.ru/v1/quote/argil/avatars/text-to-video me taua tinana anō ka whakahoki i te utu tika i mua i te whakahaere.
Tae atu ki te $ 1.058 mō ia whakahaerenga ka utua mō te whakamahinga tūturu, ka whakahokia te toenga 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.
Kei konei tō hua tuatahi
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.
Hangaia he tono
Ka hangaia ngā mana whakahaere mai i te aronuinga o te tauira. Ka whakahoungia te waehere me te utu ina whakarerekē koe.
/run/argil/avatars/text-to-video?wait=20
utu → $ 1.058
# 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/argil/avatars/text-to-video?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"avatar": "Mia outdoor (UGC)",
"text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"voice": "Rachel"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/argil/avatars/text-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"avatar": "Mia outdoor (UGC)",
"text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"voice": "Rachel"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"avatar": "Mia outdoor (UGC)",
"text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"voice": "Rachel",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/argil/avatars/text-to-video", 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": "argil/avatars/text-to-video",
"input": {
"avatar": "Mia outdoor (UGC)",
"text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"voice": "Rachel"
},
"wait_seconds": 20
}
}
}
Whakahaerehia tēnei tono
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
Mō Avatars Text to Video
Tīpakohia he kiritata tatūkē, tuhia te `text` hei kōrero māna, ka kōwhiria he `voice` mai i ngā ingoa e whakaaetia ana. Kāore he kōnae ororongo e hiahiatia ana, nā te mea ka waihangatia te kōrero mai i te kuputuhi. Ka taea e `remove_background` te tango i te papamuri. Kei roto i te whakautu te ataata me ngā āpure whakahaere pērā i te tūnga flagged me te tuhinga oro.
Ngā tawhā
avatare hiahiatia ana
+12 anō
Viva (Masterclass)Chen (Masterclass)Alex (Masterclass)Vanessa (UGC)Laurent (UGC)Noemie car (UGC)Brandon (UGC)Byron (Masterclass)Calista (Masterclass)Milo (Masterclass)Fabien (Masterclass)Rose (UGC)texte hiahiatia ana
voicee hiahiatia ana
+4 anō
LillyBillOxleyLunaremove_backgroundkōwhiringa
Putanga
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "argil/avatars/text-to-video",
"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": 1058,
"usd": "1.058",
"charged": 1058,
"refunded": 0
},
"input": {
"avatar": "Mia outdoor (UGC)",
"text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"voice": "Rachel"
},
"output": {
"video": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
"content_type": "video/mp4",
"file_name": "0-output.mp4",
"file_size": 1843200
},
"moderation_flagged": false,
"moderation_transcription": "string",
"moderation_error": "string"
},
"outputs": [
{
"type": "video",
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
"content_type": "video/mp4",
"file_size": 1843200,
"width": 1280,
"height": 720,
"duration": 5,
"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"
}
}
Ngā āpure o te putanga
- video
- object {url, content_type, file_name, file_size} | null
- moderation_flagged
- boolean
- moderation_transcription
- string | null
- moderation_error
- string | null
Ētahi atu rerekētanga Argil Avatar
Ētahi atu tauira: Tukutahi Ngutu me ngā Avatar
Mō ngā āpiha AI: kei te wātea tēnei whārangi hei Markdown ki https://doitong.com/mi/developers/models/argil/avatars/text-to-video.md. Ngā tauira me ngā aratohu katoa: https://doitong.com/developers/llms.txt