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.
Inactivo
$1.12por ejecución
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.
content to describe the plot, action, dialogue, camera movement, and visual details for the clip.image and placement to control positioning, panorama, or step-based references.8, 9, 10, 11, or 12 seconds.| Property | Required | Type | Description |
|---|---|---|---|
| name | Yes | string | Task name. |
| content | Yes | string | Drama script or content. Supports up to 5000 characters. |
| assets | Yes | array(object) | Asset list. Up to 14 assets are supported; 3-10 are recommended. |
| assets.id | Yes | string | Asset ID, using numeric strings such as 01, 02, 03. |
| assets.name | Yes | string | Asset name, up to 30 characters. |
| assets.type | Yes | string enum | Asset type. Supported values: character, scene, tool. |
| assets.image_uri | Yes | string | Reference image for this asset. Supports public image URL or Base64 image data. |
| assets.description | No | string | Asset description, such as identity, appearance, age, role, scene details, or tool details. |
| image | No | string | Positioning reference image uploaded by the user. |
| placement | No | string enum | Placement mode: upload, panorama, or step. Default: upload. |
| quality | No | string enum | Quality level: standard or high. Default: high. |
| duration | Yes | integer enum | Fixed clip duration in seconds. Supported values: 8, 9, 10, 11, and 12. |
| resolution | No | string enum | Output resolution: 720p or 1080p. Default: 1080p. |
| aspect_ratio | No | string enum | Output aspect ratio: 9:16 or 16:9. Default: 9:16. |
| style | No | string | Video style, such as realistic, 3D modeling, or 2D animation. Limit: 30 characters; punctuation is not recommended. |
assets.image_uri supports image URL or Base64 image data.data:image/png;base64,{base64_encode}.Billing is based on effective video duration at $0.14 per second.
| Duration | Price |
|---|---|
| 8s | $1.12 |
| 9s | $1.26 |
| 10s | $1.40 |
| 11s | $1.54 |
| 12s | $1.68 |
Effective duration is limited to 8-12 seconds. Missing or lower values are billed as 8 seconds; values above 12 seconds are billed as 12 seconds.
name for the task.content.01, 02, 03, and so on.image_uri for every asset.placement.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/vidu/q3/drama-clip with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Q3 Drama Clip below.
set -euo pipefail
: "${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
doneconst 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));
}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 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.
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.
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.
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.
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.
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.