LTX Video-0.9.7 13B Distilled · Extend
Integra
ltx-video-13b-distilled/extend
# 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/ltx-video-13b-distilled/extend?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"video": {
"video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/ltx-video-13b-distilled/extend?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"video": {
"video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"video": {
"video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
},
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/ltx-video-13b-distilled/extend", 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/it/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": "ltx-video-13b-distilled/extend",
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"video": {
"video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
}
}
Chiama il modello LTX Video-0.9.7 13B Distilled · Extend (ltx-video-13b-distilled/extend) tramite Doitong API. Documentazione per gli agenti: https://doitong.com/it/developers/models/ltx-video-13b-distilled/extend.md
POST https://api.doitong.com/v1/run/ltx-video-13b-distilled/extend?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"video": {
"video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
}
Se lo stato della risposta è "queued" o "running", interroga GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 finché non diventa "succeeded"; i file si trovano in outputs[].url. POST https://api.doitong.com/v1/quote/ltx-video-13b-distilled/extend con lo stesso body restituisce il prezzo esatto prima dell'esecuzione.
Questa richiesta: 0,04 $ 40 crediti API Esegui in questa pagina
La tua nuova chiave API. Viene mostrata solo ora ed è già presente nel codice e nel campo della chiave API qui sotto. Mantienila segreta: non inserirla mai nel codice eseguito in un browser.
Il tuo primo risultato apparirà qui
Crea una richiesta qui sotto ed eseguila con la tua chiave API. Gli output vengono copiati nella nostra archiviazione, conservati per sempre oppure 7 giorni gratuitamente.
Crea una richiesta
I controlli vengono generati dallo schema del modello. Il codice e il prezzo si aggiornano mentre li modifichi.
/run/ltx-video-13b-distilled/extend?wait=20
preventivo → 0,04 $
# 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/ltx-video-13b-distilled/extend?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"video": {
"video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/ltx-video-13b-distilled/extend?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"video": {
"video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"video": {
"video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
},
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/ltx-video-13b-distilled/extend", 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": "ltx-video-13b-distilled/extend",
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"video": {
"video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
},
"wait_seconds": 20
}
}
}
Esegui questa richiesta
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Informazioni su LTX Video-0.9.7 13B Distilled · Extend
Continua la clip fornita in `video`, guidata da un `prompt` obbligatorio. L'output è a 480p o 720p, con `aspect_ratio` auto, 9:16, 1:1 o 16:9 e `num_frames` da 9 a 1441. `constant_rate_factor` (da 0 a 51) controlla la compressione dell'input e `loras` accetta pesi personalizzati.
Parametri
promptobbligatorio
negative_promptfacoltativo
lorasfacoltativo
loras[].pathobbligatorio
loras[].weight_namefacoltativo
loras[].scalefacoltativo
resolutionfacoltativo
aspect_ratiofacoltativo
seedfacoltativo
num_framesfacoltativo
first_pass_num_inference_stepsfacoltativo
second_pass_num_inference_stepsfacoltativo
second_pass_skip_initial_stepsfacoltativo
frame_ratefacoltativo
expand_promptfacoltativo
reverse_videofacoltativo
enable_safety_checkerfacoltativo
enable_detail_passfacoltativo
temporal_adain_factorfacoltativo
tone_map_compression_ratiofacoltativo
constant_rate_factorfacoltativo
videoobbligatorio
video.video_urlobbligatorio
video.start_frame_numfacoltativo
video.strengthfacoltativo
video.limit_num_framesfacoltativo
video.max_num_framesfacoltativo
video.resample_fpsfacoltativo
video.target_fpsfacoltativo
video.reverse_videofacoltativo
Output
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "ltx-video-13b-distilled/extend",
"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": 40,
"usd": "0.04",
"charged": 40,
"refunded": 0
},
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"video": {
"video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
},
"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
},
"prompt": "Woman walking on a street in Tokyo",
"seed": 42
},
"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.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
Campi dell'output
- video
- object {url, content_type, file_name, file_size}File video prodotto dalla generazione.
- prompt
- stringPrompt utilizzato per generare l'output.
- seed
- integerValore seed applicato durante la generazione.
Altre varianti di LTX Video-0.9.7 13B Distilled
Altri modelli: Da video a video
Per gli agenti AI: questa pagina in Markdown è disponibile all'indirizzo https://doitong.com/it/developers/models/ltx-video-13b-distilled/extend.md. Tutti i modelli e le guide: https://doitong.com/developers/llms.txt