Alibaba Wan 2.1 T2V Plus 720p
Playground
Try it on WavespeedAI!Generate unlimited AI videos with Alibaba WAN 2.1 text-to-video model.
Features
Alibaba WAN 2.1 — Text-to-Video Plus Model (720p)
Alibaba WAN 2.1 T2V Plus is an advanced text-to-video generation model powered by Alibaba Cloud’s Mixture of Experts (MoE) architecture. It creates cinematic 5-second 720p videos with natural motion, balanced lighting, and smooth transitions — optimized for speed, stability, and storytelling flexibility.
Why it looks great
- Cinematic control: captures lighting, color tone, and depth for professional-grade visuals.
- Smooth temporal motion: ensures coherent motion flow between subjects and background.
- Prompt accuracy: delivers faithful interpretation of detailed text descriptions.
- Optimized 720p efficiency: achieves excellent quality at faster inference and lower cost.
- Stable rendering: minimizes flicker, distortion, or structure shifts during animation.
Pricing
| Duration | Resolution | Cost per job |
|---|---|---|
| 5 s | 720p | $0.70 |
How to Use
- Write Prompt – describe the desired scene, environment, and camera movement.
- Choose Size – select landscape (1280×720) or portrait (720×1280).
- (Optional) Add a Negative Prompt to exclude unwanted elements.
- (Optional) Set Seed for reproducibility.
- Run – preview and download your generated 5-second clip.
Pro Tips
- Include motion cues (e.g., “camera panning,” “soft breeze,” “car moving through city lights”).
- Use portrait mode for short-form social content, landscape for cinematic or presentation use.
- Keep prompts focused and clear for best visual alignment and stable motion.
Notes
- Please verify that your prompt and parameters are set correctly before running.
- If results appear inconsistent, try a new seed value or simplify your prompt.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/alibaba/wan-2.1/t2v-plus-720p" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"size": "1280*720",
"duration": 5,
"enable_prompt_expansion": false,
"seed": -1
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. | |
| size | string | No | 1280*720 | 1280*720, 720*1280 | The size of the generated media in pixels (width*height). |
| duration | integer | No | 5 | 5 | The duration of the generated media in seconds. |
| enable_prompt_expansion | boolean | No | false | - | If set to true, the prompt optimizer will be enabled. |
| negative_prompt | string | No | - | The negative prompt for the generation. | |
| seed | integer | No | -1 | -1 ~ 2147483647 | 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 | Array of URLs to the generated content (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.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| 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 |