Vidu Image To Video
Playground
Try it on WavespeedAI!Vidu Image-to-Video converts images into smooth-transition videos with high visual quality and diverse motion for cinematic results. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Vidu Image-to-Video
Vidu Image-to-Video is a fast and affordable image-to-video generation model that transforms static images into dynamic, animated videos. Simply provide an image and describe the motion you want — the model brings your photo to life with smooth, natural animation.
Why It Stands Out
- Image-driven generation: Start from any image and animate it into a coherent video while preserving the original style.
- Prompt-guided motion: Describe the action, camera movement, or atmosphere you want and watch your vision unfold.
- Prompt Enhancer: Built-in AI-powered prompt optimization helps craft better descriptions for improved results.
- Movement control: Choose from auto, small, medium, or large motion intensity for precise animation control.
- Affordable pricing: High-quality results at a budget-friendly price point.
- Reproducibility: Use the seed parameter to recreate exact results or explore variations.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of desired motion and style. |
| image | Yes | Source image (upload or public URL). |
| movement_amplitude | No | Motion intensity: auto, small, medium, or large (default: auto). |
| seed | No | Set for reproducibility; -1 for random. |
How to Use
- Upload your source image — drag and drop a file or paste a public URL.
- Write a prompt describing the motion, mood, and style you want. Use the Prompt Enhancer for AI-assisted optimization.
- Set movement amplitude — choose auto, small, medium, or large based on desired motion intensity.
- Set a seed (optional) for reproducible results.
- Click Run and wait for your video to generate.
- Preview and download the result.
Best Use Cases
- Social Media Content — Turn photos into engaging video posts for TikTok, Reels, and Shorts.
- Marketing & Advertising — Animate product images and hero shots without expensive video production.
- Storytelling & Art — Bring illustrations, portraits, and artwork to life.
- E-commerce — Create dynamic product showcases from static photography.
- Personal Projects — Animate family photos, travel shots, or creative artwork.
Pricing
| Output | Price |
|---|---|
| Per video | $0.20 |
Pro Tips for Best Quality
- Use high-resolution, well-lit source images for optimal results.
- Be specific in your prompt — describe camera movement, subject actions, and atmospheric details.
- Use “small” amplitude for subtle movements like breathing or blinking.
- Use “large” amplitude for dramatic motion like running or dancing.
- For portraits, describe natural movements like hair flowing or expressions changing.
- Fix the seed when iterating to compare the effect of different parameters.
Notes
- Ensure uploaded image URLs are publicly accessible.
- Processing time varies based on current queue load.
- For higher quality output, try Vidu Image-to-Video Q1.
- Please ensure your prompts comply with content guidelines.
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/vidu/image-to-video" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"movement_amplitude": "auto",
"seed": -1
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${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. | |
| image | string | Yes | - | The start image for generating the output. | |
| movement_amplitude | string | No | auto | auto, small, medium, large | The movement amplitude of objects in the frame. Defaults to auto, accepted value: auto small medium large. |
| 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 |
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, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | 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.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 |