Alibaba Wan 2.2 T2V Plus 1080p
Playground
Try it on WavespeedAI!Generate unlimited AI videos with Alibaba WAN 2.2 text-to-video model.
Features
Alibaba WAN 2.2 Text-to-Video Model (1080p)
Alibaba WAN 2.2 is an advanced text-to-video (T2V) model powered by an MoE (Mixture of Experts) architecture. It generates cinematic-quality videos at Full HD 1080p resolution, supporting both landscape (1920×1080) and portrait (1080×1920) formats.
Why it looks great
- Cinematic quality: controls lighting, color, and camera composition for professional results.
- Smooth motion: handles subject and camera movement with stability and naturalness.
- Semantic alignment: faithfully follows detailed text prompts, even in complex scenes.
- Prompt expansion (optional): refine prompts automatically for enhanced output.
Limits and Performance
- Input: text prompt
- Output resolution: 1080p (1920×1080 or 1080×1920)
- Clip length per job: 5 seconds
Pricing
| Duration | Resolution | Cost per job |
|---|---|---|
| 5 s | 1080p | $0.80 |
How to Use
- Write Prompt – describe the scene, mood, motion, and camera style.
- Choose Size – landscape (1920×1080) or portrait (1080×1920).
- (Optional) Add a Negative Prompt to exclude unwanted details.
- (Optional) Set Seed for reproducibility.
- Run – preview and download your 5-second video.
Pro tips
- Use clear motion cues in the prompt (e.g., “slow pan”, “gentle breeze”).
- Choose portrait mode (1080×1920) for mobile/social content, landscape for cinematic use.
- Apply negative prompts to avoid artifacts like text, watermarks, or distortions.
- Enable prompt expansion if you want the system to refine under-specified prompts.
Notes
- Please check that your prompt and parameters are correct before running.
- If results don’t align, try re-running with different seeds.
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-2.2/t2v-plus-1080p" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"size": "1920*1080",
"duration": 5,
"enable_prompt_expansion": false,
"seed": -1
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${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 | 1920*1080 | 1920*1080, 1080*1920 | 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 |