Vidu Text To Video 2.0
Playground
Try it on WavespeedAI!Vidu Text-to-Video 2.0 converts text prompts into high-quality 720p videos with exceptional visual detail and diverse motion dynamics. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
🎬 Vidu Text-to-Video 2.0
Vidu Text-to-Video 2.0 turns your imagination into motion — a next-generation text-to-video model that produces cinematic 720p videos with smooth, expressive, and visually coherent motion. Now with flexible duration control, you can generate 5s or 8s clips for storytelling, concept visualization, or creative motion studies.
🌟 Why it looks amazing
- Cinematic realism: generates film-like motion, lighting, and depth of field.
- Temporal consistency: prevents flicker and ghosting between frames.
- Expressive movement: animates both camera and subject naturally for lifelike motion.
- Scene understanding: interprets your text prompt accurately to match composition, emotion, and action.
- 720p output: crisp visuals ready for editing, sharing, or production use.
⚙️ Parameters and Controls
-
prompt — describe your scene (e.g., “A woman walking through a rainy street under neon lights”).
-
movement_amplitude — controls the motion strength of objects in the frame:
auto(default): automatically adjusts motion scale.small: subtle, gentle movements (good for portraits or static shots).medium: balanced motion, ideal for everyday scenes.large: dramatic, cinematic camera or subject motion.
-
duration — select video length:
5: short clips, ideal for previews or teasers.8: extended motion for storytelling or scene development.
-
seed — use a fixed number for reproducibility or leave empty for random generation.
💰 Pricing
| Resolution | Duration | Cost per Clip |
|---|---|---|
| 720p | 5s | $0.60 |
| 720p | 8s | $0.60 |
🚀 How to Use
- ✍️ Write your prompt describing the scene or story.
- 🎥 Choose movement_amplitude (
auto,small,medium, orlarge). - ⏱️ Select duration (
5or8seconds). - 🎲 Optionally set a seed for reproducibility.
- ▶️ Click Run to generate your cinematic video.
💡 Pro Tips
- Keep prompts concise but descriptive — include subject, setting, and atmosphere.
- Use small amplitude for subtle character shots, large for dynamic scenes.
- Choose 8s duration for narrative continuity or action sequences.
- Experiment with different seeds to explore creative variations.
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/text-to-video-2.0" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"duration": 5,
"resolution": "720p",
"movement_amplitude": "auto"
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${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. | |
| duration | integer | No | 5 | 5, 8 | The duration of the generated media in seconds. |
| resolution | string | No | 720p | 720p | The resolution of the generated media. |
| 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 ~ 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 |