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Vidu Q3 Drama Clip API

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Vidu Q3 Drama Clip generates 8-12 second script-driven drama videos from structured assets, including characters, scenes, and tools. It is ideal for compact story scenes, storyboard shots, and focused narrative moments. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

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Vidu Q3 Drama Clip

Vidu Q3 Drama Clip generates short 8-12 second drama clips from a script and a structured asset list. It is designed for compact narrative moments where you define the characters, scene, tools, visual references, and output controls in one request.

Why Choose This?

  • Short drama clip generation: Create focused drama fragments from 8 to 12 seconds.
  • Script-driven control: Use content to describe the plot, action, dialogue, camera movement, and visual details for the clip.
  • Structured asset control: Define characters, scenes, and tools with IDs, names, types, reference images, and descriptions.
  • Reference positioning: Use image and placement to control positioning, panorama, or step-based references.
  • Precise duration selection: Choose a fixed duration of 8, 9, 10, 11, or 12 seconds.
  • Narrative workflow: Suitable for storyboard shots, scene-level clips, ads, hooks, and short character-driven video moments.

Properties

PropertyRequiredTypeDescription
nameYesstringTask name.
contentYesstringDrama script or content. Supports up to 5000 characters.
assetsYesarray(object)Asset list. Up to 14 assets are supported; 3-10 are recommended.
assets.idYesstringAsset ID, using numeric strings such as 01, 02, 03.
assets.nameYesstringAsset name, up to 30 characters.
assets.typeYesstring enumAsset type. Supported values: character, scene, tool.
assets.image_uriYesstringReference image for this asset. Supports public image URL or Base64 image data.
assets.descriptionNostringAsset description, such as identity, appearance, age, role, scene details, or tool details.
imageNostringPositioning reference image uploaded by the user.
placementNostring enumPlacement mode: upload, panorama, or step. Default: upload.
qualityNostring enumQuality level: standard or high. Default: high.
durationYesinteger enumFixed clip duration in seconds. Supported values: 8, 9, 10, 11, and 12.
resolutionNostring enumOutput resolution: 720p or 1080p. Default: 1080p.
aspect_ratioNostring enumOutput aspect ratio: 9:16 or 16:9. Default: 9:16.
styleNostringVideo style, such as realistic, 3D modeling, or 2D animation. Limit: 30 characters; punctuation is not recommended.

Image Requirements

  • assets.image_uri supports image URL or Base64 image data.
  • Supported image formats: PNG, JPEG, JPG, and WebP.
  • Base64 input should include the content type prefix, for example: data:image/png;base64,{base64_encode}.
  • Each asset can correspond to one image.
  • Keep image URLs publicly accessible.
  • Keep images within the documented size, aspect ratio, and request body limits.

Pricing

Billing is based on effective video duration at $0.14 per second.

DurationPrice
8s$1.12
9s$1.26
10s$1.40
11s$1.54
12s$1.68

Effective duration is limited to 8-12 seconds. Missing or lower values are billed as 8 seconds; values above 12 seconds are billed as 12 seconds.

How to Use

  1. Enter name for the task.
  2. Write the drama clip script in content.
  3. Add assets for characters, scenes, or tools.
  4. Set each asset ID as 01, 02, 03, and so on.
  5. Upload or provide image_uri for every asset.
  6. Optionally provide a positioning reference image and choose placement.
  7. Select quality, duration, resolution, aspect ratio, and style as needed.
  8. Submit the task and retrieve the generated clip when complete.
Nota:Este sitio web utiliza modelos de IA proporcionados por terceros.

Q3 Drama Clip API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/vidu/q3/drama-clip with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Q3 Drama Clip below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "name": "example",
    "content": "A clear example input",
    "assets": [
        {
            "id": "1",
            "name": "example",
            "type": "character",
            "image_uri": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
        }
    ],
    "placement": "panorama",
    "duration": 8,
    "resolution": "1080p",
    "aspect_ratio": "9:16"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/vidu/q3/drama-clip" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "$TASK" | jq -r '.urls.get // empty')
if [ -z "$RESULT_URL" ]; then
  RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
    -H "Authorization: Bearer $WAVESPEED_API_KEY")
  RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "$STATUS" >&2; exit 1 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/vidu/q3/drama-clip";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "name": "example",
        "content": "A clear example input",
        "assets": [
                {
                        "id": "1",
                        "name": "example",
                        "type": "character",
                        "image_uri": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
                }
        ],
        "placement": "panorama",
        "duration": 8,
        "resolution": "1080p",
        "aspect_ratio": "9:16"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
  if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "name": "example",
    "content": "A clear example input",
    "assets": [
        {
            "id": "1",
            "name": "example",
            "type": "character",
            "image_uri": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
        }
    ],
    "placement": "panorama",
    "duration": 8,
    "resolution": "1080p",
    "aspect_ratio": "9:16"
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/vidu/q3/drama-clip", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout"}:
        raise RuntimeError(result)
    if status not in {"created", "processing"}:
        raise RuntimeError(f"Unexpected status: {status}")
    time.sleep(2)

Q3 Drama Clip API — Frequently asked questions

What is the Q3 Drama Clip API?

Q3 Drama Clip is a Vidu model for video generation from images, exposed as a REST API on WaveSpeedAI. Vidu Q3 Drama Clip generates 8-12 second script-driven drama videos from structured assets, including characters, scenes, and tools. It is ideal for compact story scenes, storyboard shots, and focused narrative moments. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Q3 Drama Clip API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/vidu/vidu-q3-drama-clip.

How much does Q3 Drama Clip cost per run?

Q3 Drama Clip starts at $1.12 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Q3 Drama Clip accept?

Key inputs: `image`, `aspect_ratio`, `resolution`, `duration`, `assets`, `content`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/vidu/vidu-q3-drama-clip.

How long does Q3 Drama Clip take to generate?

Median end-to-end generation time on WaveSpeedAI is around 591 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

Can I use Q3 Drama Clip outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Vidu). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.