Ffmpeg Api Images to Video
Integra
ffmpeg-api/images-to-video
# 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/ffmpeg-api/images-to-video?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"images": [
{
"url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"frames": 1
}
]
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/ffmpeg-api/images-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"images": [
{
"url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"frames": 1
}
]
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"images": [
{
"url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"frames": 1,
},
],
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/ffmpeg-api/images-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/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": "ffmpeg-api/images-to-video",
"input": {
"images": [
{
"url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"frames": 1
}
]
}
}
Chiama il modello Ffmpeg Api Images to Video (ffmpeg-api/images-to-video) tramite Doitong API. Documentazione per gli agenti: https://doitong.com/it/developers/models/ffmpeg-api/images-to-video.md
POST https://api.doitong.com/v1/run/ffmpeg-api/images-to-video?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"images": [
{
"url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"frames": 1
}
]
}
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/ffmpeg-api/images-to-video con lo stesso body restituisce il prezzo esatto prima dell'esecuzione.
Questa richiesta: ≈0,005 $ 5 crediti API Esegui in questa pagina
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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/ffmpeg-api/images-to-video?wait=20
preventivo → 0,005 $
# 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/ffmpeg-api/images-to-video?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"images": [
{
"url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"frames": 1
}
]
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/ffmpeg-api/images-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"images": [
{
"url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"frames": 1
}
]
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"images": [
{
"url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"frames": 1,
},
],
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/ffmpeg-api/images-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": "ffmpeg-api/images-to-video",
"input": {
"images": [
{
"url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"frames": 1
}
]
},
"wait_seconds": 20
}
}
}
Esegui questa richiesta
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Informazioni su Ffmpeg Api Images to Video
Strumento di elaborazione che trasforma una lista ordinata di immagini in un MP4. Accetta da 1 a 200 elementi in `images` e ogni immagine viene mantenuta per il numero di fotogrammi specificato prima del passaggio alla successiva. `fps` imposta la frequenza di fotogrammi dell'output da 1 a 120, con valore predefinito 24. Non viene eseguita alcuna generazione.
Parametri
imagesobbligatorio
images[].urlobbligatorio
images[].framesobbligatorio
fpsfacoltativo
Output
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "ffmpeg-api/images-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": 5,
"usd": "0.005",
"charged": 5,
"refunded": 0
},
"input": {
"images": [
{
"url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"frames": 1
}
]
},
"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
}
},
"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}Video generato in formato MP4.
Altre varianti di FFmpeg API
Altri modelli: Da immagine a video
Per gli agenti AI: questa pagina in Markdown è disponibile all'indirizzo https://doitong.com/it/developers/models/ffmpeg-api/images-to-video.md. Tutti i modelli e le guide: https://doitong.com/developers/llms.txt