Alibaba Wan 2.1 I2V Plus 720p
Playground
Try it on WavespeedAI!Generate unlimited AI videos with Alibaba WAN 2.1 image-to-video model from image inputs.
Features
Alibaba WAN 2.1 — Image-to-Video Model-Plus (720p)
Alibaba WAN 2.1 is an advanced image-to-video generation model that transforms static images into smooth, cinematic 5-second motion clips. This 720p version provides the ideal balance between visual quality and generation speed — perfect for professional content creation and rapid storytelling.
🌟 Key Features
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Cinematic Motion Generation Adds natural depth, parallax, and camera motion effects to bring still images to life.
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High Temporal Consistency Maintains stable structure and lighting across all frames for smooth playback.
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Balanced 720p Output Delivers clear HD video optimized for both web and mobile distribution.
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Lightweight and Efficient Produces professional-quality motion in seconds, minimizing compute cost and latency.
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Creative Flexibility Works across diverse visual styles — from portraits and landscapes to products and illustrations.
⚙️ Capabilities
- Input: Single image (JPEG / PNG)
- Output: 5-second 720p MP4 video
- Supports: Camera motion, lighting drift, and subject parallax effects
💰 Pricing
| Duration | Resolution | Cost (USD) |
|---|---|---|
| 5 seconds | 720p | $0.70 |
💡 Best Use Cases
- Social Media & Marketing — Animate photos into attention-grabbing motion content.
- E-commerce & Branding — Add cinematic motion to product visuals and hero shots.
- Art & Photography — Turn static compositions into immersive short clips.
- Education & Storytelling — Visualize concepts and narratives dynamically.
📝 Notes
- For best results, upload clear, high-resolution images with good lighting and contrast.
- Simple prompts and compositions yield the most stable motion.
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/i2v-plus-720p" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"duration": 5,
"enable_prompt_expansion": false,
"seed": -1
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| image | string | Yes | - | The image for generating the output. | |
| prompt | string | Yes | - | The positive prompt for the generation. | |
| 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 |