Alibaba Wan 2.5 Video Extend Fast
Playground
Try it on WaveSpeedAI!WAN 2.5 Fast is an AI-powered video extender that turns short clips into longer videos while preserving audio tracks for seamless extensions. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
WAN 2.5 is an advanced video generation model on Cloud’s DashScope. It generates high-quality videos from images and supports output resolutions of 480p, 720p, and 1080p.
✨ Why This endpoint is special
- Seamless extension: Extends videos naturally — no abrupt cuts or looping artifacts. The motion flow and scene lighting stay coherent frame to frame.
- Flexible duration control: Choose any target length from 3 s – 10 s (3, 4, 5, 6, 7, 8, 9, 10 s all supported).
- One-pass A/V sync: Automatically aligns audio and mouth movements, ensuring natural speech and rhythm without manual editing.
- Multilingual friendly: Supports prompts in Chinese and English for synchronized video generation with accurate lip-sync.
- Custom audio option: You can upload your own audio (music or voice) or let the model generate one for you — plug-and-play.
- Lightweight and affordable: Built for creators and teams who need fast, consistent, and cost-effective video outputs.
🧩 Designed For
- Content creators & storytellers: Extend scenes smoothly to fit a beat, dialogue, or camera motion.
- Marketing teams: Produce multiple ad variations from a single core clip — faster, cheaper, consistent.
- Corporate training teams: Expand short clips into complete learning segments without reshooting.
- Global enterprises: Generate localized, multilingual video extensions for different audiences.
⚙️ How to Use
- Upload your base video clip.
- (Optional) Upload an audio file (
.wav/.mp3, ≤ 15 MB, 3–30 s). - Enter your prompt or description (supports Chinese / English).
- Select the output duration (3 s – 10 s).
- Choose resolution (480p / 720p / 1080p).
- Submit the job — wait a few moments, preview, and download your extended video.
💡 Audio Handling
- If audio > chosen video length: Only the first segment (3 s, 5 s, 10 s etc.) is used.
- If audio < chosen video length: Remaining video plays silently.
- If no audio: WAN 2.5 can auto-generate one or leave it silent.
💰 Pricing
| Resolution | Price per second | Example (3 s) | Example (5 s) |
|---|---|---|---|
| 720p | $0.068 | $0.204 | $0.34 |
| 1080p | $0.102 | $0.306 | $0.51 |
🧠 Pro Tips
- Start with 5 s for testing — balance between cost and quality.
- Upload high-quality input videos to maximize motion consistency.
- Keep your prompt concise but descriptive: include mood, motion, and scene intent.
- For multilingual videos, specify the desired spoken language in your prompt.
📎 Note
- If you didn’t upload your image or video locally, please ensure that the media URL is publicly accessible. A successfully accessible file will display a preview in the interface.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic ocean wave at sunrise, highly detailed",
"video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
"resolution": "720p",
"duration": 5,
"enable_prompt_expansion": false,
"seed": -1
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/alibaba/wan-2.5/video-extend-fast" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
-H "Content-Type: application/json" \
-d "${REQUEST_BODY}")
TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL=$(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' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')
case "${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
doneParameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. | |
| video | string | Yes | - | The video for generating the output. | |
| audio | string | No | - | - | Audio URL to guide generation (optional). |
| negative_prompt | string | No | - | The negative prompt for the generation. | |
| resolution | string | No | 720p | 720p, 1080p | The resolution of the generated media. |
| duration | integer | No | 5 | 3, 4, 5, 6, 7, 8, 9, 10 | The duration of the generated media in seconds. |
| enable_prompt_expansion | boolean | No | false | - | If set to true, the prompt optimizer will be enabled. |
| seed | integer | No | -1 | - | The random seed to use for the generation. -1 means a random seed will be used. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Output values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<string | object> | Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model. |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to poll for the prediction result |
| data.status | string | Status: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |