Veo 3.1 Fast
Integrasikan
veo3.1/fast
# 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/veo3.1/fast?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "Ultra realistic ASMR video of a fresh ripe pineapple being cut into a glass-shaped cylinder. Close-up macro shot, natural kitchen lighting, high detail pineapple texture, visible juice droplets, slow precise knife slicing.\nSound focus: crisp crunchy cutting sound, juicy wet fiber tearing sound, subtle knife sliding on cutting board, natural room ambience, no music, stereo binaural ASMR audio. \n\nVisual detail: yellow golden pineapple flesh, fresh green crown slightly visible on table, wooden cutting board, stainless steel sharp knife, realistic juice splashing slightly when sliced.\nCamera: slow cinematic movement, macro lens, depth of field, focus on knife entering pineapple flesh.\nStyle: hyper realistic, 4K, natural color grading, food photography realism, satisfying ASMR style.",
"duration": "4s",
"resolution": "720p",
"generate_audio": true
}'
# 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 $DOITONG_API_KEY"
const API = "https://vit.doitong.com/api/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/veo3.1/fast?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Ultra realistic ASMR video of a fresh ripe pineapple being cut into a glass-shaped cylinder. Close-up macro shot, natural kitchen lighting, high detail pineapple texture, visible juice droplets, slow precise knife slicing.\nSound focus: crisp crunchy cutting sound, juicy wet fiber tearing sound, subtle knife sliding on cutting board, natural room ambience, no music, stereo binaural ASMR audio. \n\nVisual detail: yellow golden pineapple flesh, fresh green crown slightly visible on table, wooden cutting board, stainless steel sharp knife, realistic juice splashing slightly when sliced.\nCamera: slow cinematic movement, macro lens, depth of field, focus on knife entering pineapple flesh.\nStyle: hyper realistic, 4K, natural color grading, food photography realism, satisfying ASMR style.",
"duration": "4s",
"resolution": "720p",
"generate_audio": true
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://vit.doitong.com/api/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "Ultra realistic ASMR video of a fresh ripe pineapple being cut into a glass-shaped cylinder. Close-up macro shot, natural kitchen lighting, high detail pineapple texture, visible juice droplets, slow precise knife slicing.\nSound focus: crisp crunchy cutting sound, juicy wet fiber tearing sound, subtle knife sliding on cutting board, natural room ambience, no music, stereo binaural ASMR audio. \n\nVisual detail: yellow golden pineapple flesh, fresh green crown slightly visible on table, wooden cutting board, stainless steel sharp knife, realistic juice splashing slightly when sliced.\nCamera: slow cinematic movement, macro lens, depth of field, focus on knife entering pineapple flesh.\nStyle: hyper realistic, 4K, natural color grading, food photography realism, satisfying ASMR style.",
"duration": "4s",
"resolution": "720p",
"generate_audio": True,
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/veo3.1/fast", 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/ms/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": "veo3.1/fast",
"input": {
"prompt": "Ultra realistic ASMR video of a fresh ripe pineapple being cut into a glass-shaped cylinder. Close-up macro shot, natural kitchen lighting, high detail pineapple texture, visible juice droplets, slow precise knife slicing.\nSound focus: crisp crunchy cutting sound, juicy wet fiber tearing sound, subtle knife sliding on cutting board, natural room ambience, no music, stereo binaural ASMR audio. \n\nVisual detail: yellow golden pineapple flesh, fresh green crown slightly visible on table, wooden cutting board, stainless steel sharp knife, realistic juice splashing slightly when sliced.\nCamera: slow cinematic movement, macro lens, depth of field, focus on knife entering pineapple flesh.\nStyle: hyper realistic, 4K, natural color grading, food photography realism, satisfying ASMR style.",
"duration": "4s",
"resolution": "720p",
"generate_audio": true
}
}
Panggil model Veo 3.1 Fast (veo3.1/fast) melalui Doitong API. Dokumentasi untuk ejen: https://doitong.com/ms/developers/models/veo3.1/fast.md
POST https://vit.doitong.com/api/v1/run/veo3.1/fast?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"prompt": "Ultra realistic ASMR video of a fresh ripe pineapple being cut into a glass-shaped cylinder. Close-up macro shot, natural kitchen lighting, high detail pineapple texture, visible juice droplets, slow precise knife slicing.\nSound focus: crisp crunchy cutting sound, juicy wet fiber tearing sound, subtle knife sliding on cutting board, natural room ambience, no music, stereo binaural ASMR audio. \n\nVisual detail: yellow golden pineapple flesh, fresh green crown slightly visible on table, wooden cutting board, stainless steel sharp knife, realistic juice splashing slightly when sliced.\nCamera: slow cinematic movement, macro lens, depth of field, focus on knife entering pineapple flesh.\nStyle: hyper realistic, 4K, natural color grading, food photography realism, satisfying ASMR style.",
"duration": "4s",
"resolution": "720p",
"generate_audio": true
}
Jika status respons ialah "queued" atau "running", tinjau GET https://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20 sehingga statusnya menjadi "succeeded"; fail berada dalam outputs[].url. POST https://vit.doitong.com/api/v1/quote/veo3.1/fast dengan badan yang sama mengembalikan harga tepat sebelum dijalankan.
Permintaan ini: $0.60 600 kredit API Jalankan pada halaman ini
Kunci API baharu anda. Ia hanya dipaparkan sekarang dan sudah dimasukkan dalam kod serta medan kunci API di bawah. Simpan secara rahsia: jangan sekali-kali letakkannya dalam kod yang berjalan dalam pelayar.
Contoh
PromptUltra realistic ASMR video of a fresh ripe pineapple being cut into a glass-shaped cylinder. Close-up macro shot, natural kitchen lighting, high detail pineapple texture, visible juice droplets, slow precise knife slicing. Sound focus: crisp crunchy cutting sound, juicy wet fiber tearing sound, subtle knife sliding on cutting board, natural room ambience, no music, stereo binaural ASMR audio. Visual detail: yellow golden pineapple flesh, fresh green crown slightly visible on table, wooden cutting board, stainless steel sharp knife, realistic juice splashing slightly when sliced. Camera: slow cinematic movement, macro lens, depth of field, focus on knife entering pineapple flesh. Style: hyper realistic, 4K, natural color grading, food photography realism, satisfying ASMR style.
Bina permintaan
Kawalan dijana daripada skema model. Kod dan harga dikemas kini apabila anda mengubahnya.
/run/veo3.1/fast?wait=20
sebut harga → $0.60
# 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/veo3.1/fast?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "Ultra realistic ASMR video of a fresh ripe pineapple being cut into a glass-shaped cylinder. Close-up macro shot, natural kitchen lighting, high detail pineapple texture, visible juice droplets, slow precise knife slicing.\nSound focus: crisp crunchy cutting sound, juicy wet fiber tearing sound, subtle knife sliding on cutting board, natural room ambience, no music, stereo binaural ASMR audio. \n\nVisual detail: yellow golden pineapple flesh, fresh green crown slightly visible on table, wooden cutting board, stainless steel sharp knife, realistic juice splashing slightly when sliced.\nCamera: slow cinematic movement, macro lens, depth of field, focus on knife entering pineapple flesh.\nStyle: hyper realistic, 4K, natural color grading, food photography realism, satisfying ASMR style.",
"duration": "4s",
"resolution": "720p",
"generate_audio": true
}'
# 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 $DOITONG_API_KEY"
const API = "https://vit.doitong.com/api/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/veo3.1/fast?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Ultra realistic ASMR video of a fresh ripe pineapple being cut into a glass-shaped cylinder. Close-up macro shot, natural kitchen lighting, high detail pineapple texture, visible juice droplets, slow precise knife slicing.\nSound focus: crisp crunchy cutting sound, juicy wet fiber tearing sound, subtle knife sliding on cutting board, natural room ambience, no music, stereo binaural ASMR audio. \n\nVisual detail: yellow golden pineapple flesh, fresh green crown slightly visible on table, wooden cutting board, stainless steel sharp knife, realistic juice splashing slightly when sliced.\nCamera: slow cinematic movement, macro lens, depth of field, focus on knife entering pineapple flesh.\nStyle: hyper realistic, 4K, natural color grading, food photography realism, satisfying ASMR style.",
"duration": "4s",
"resolution": "720p",
"generate_audio": true
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://vit.doitong.com/api/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "Ultra realistic ASMR video of a fresh ripe pineapple being cut into a glass-shaped cylinder. Close-up macro shot, natural kitchen lighting, high detail pineapple texture, visible juice droplets, slow precise knife slicing.\nSound focus: crisp crunchy cutting sound, juicy wet fiber tearing sound, subtle knife sliding on cutting board, natural room ambience, no music, stereo binaural ASMR audio. \n\nVisual detail: yellow golden pineapple flesh, fresh green crown slightly visible on table, wooden cutting board, stainless steel sharp knife, realistic juice splashing slightly when sliced.\nCamera: slow cinematic movement, macro lens, depth of field, focus on knife entering pineapple flesh.\nStyle: hyper realistic, 4K, natural color grading, food photography realism, satisfying ASMR style.",
"duration": "4s",
"resolution": "720p",
"generate_audio": True,
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/veo3.1/fast", 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": "veo3.1/fast",
"input": {
"prompt": "Ultra realistic ASMR video of a fresh ripe pineapple being cut into a glass-shaped cylinder. Close-up macro shot, natural kitchen lighting, high detail pineapple texture, visible juice droplets, slow precise knife slicing.\nSound focus: crisp crunchy cutting sound, juicy wet fiber tearing sound, subtle knife sliding on cutting board, natural room ambience, no music, stereo binaural ASMR audio. \n\nVisual detail: yellow golden pineapple flesh, fresh green crown slightly visible on table, wooden cutting board, stainless steel sharp knife, realistic juice splashing slightly when sliced.\nCamera: slow cinematic movement, macro lens, depth of field, focus on knife entering pineapple flesh.\nStyle: hyper realistic, 4K, natural color grading, food photography realism, satisfying ASMR style.",
"duration": "4s",
"resolution": "720p",
"generate_audio": true
},
"wait_seconds": 20
}
}
}
Jalankan permintaan ini
Kunci anda kekal dalam pelayar ini: ia hanya dihantar kepada Doitong API dan disimpan (localStorage) hanya jika anda menanda Ingat. Dapatkan kunci API
Tentang Veo 3.1 Fast
Veo 3.1 Fast mengekalkan realisme, dialog dan penjanaan bunyi Veo dengan masa pemaparan yang lebih singkat dan harga yang jauh lebih rendah, menjadikannya lalai yang baik untuk iterasi. 4, 6 atau 8 saat, 16:9 atau 9:16, pada 720p, 1080p atau 4K; audio boleh dimatikan.
Parameter
promptdiperlukan
aspect_ratiopilihan
durationpilihan
negative_promptpilihan
resolutionpilihan
generate_audiopilihan
seedpilihan
auto_fixpilihan
safety_tolerancepilihan
Output
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "veo3.1/fast",
"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": 600,
"usd": "0.60",
"charged": 600,
"refunded": 0
},
"input": {
"prompt": "A golden retriever runs along a beach at sunset, waves splashing, slow motion, warm backlight",
"duration": 6,
"resolution": "720p"
},
"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://vit.doitong.com/api/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://vit.doitong.com/api/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
Medan output
- video
- object {url, content_type, file_name, file_size}Video yang dihasilkan oleh model.
Varian Veo 3.1 lain
Lebih banyak model: Teks ke Video
Untuk ejen AI: halaman ini dalam Markdown tersedia di https://doitong.com/ms/developers/models/veo3.1/fast.md. Semua model dan panduan: https://doitong.com/developers/llms.txt