Vidu Q2 Pro Start End To Video Fast
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Try it on WavespeedAI!Vidu Q2 Pro Fast Start-End to Video generates smooth video transitions between start and end images with faster generation speed. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
Features
Vidu Q2 Pro Fast Start-End to Video
Vidu Q2 Pro Fast Start-End to Video generates smooth video transitions between a start frame and an end frame. This model combines the visual quality of Q2 Pro with faster generation speeds, perfect for scene transitions and visual storytelling.
Why Choose This?
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Fast generation Significantly faster than Q2 Pro while maintaining high quality.
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Bi-frame guidance Uses both start and end frames to anchor identity, layout, and lighting.
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Temporal continuity Minimizes flicker and maintains subject integrity across frames.
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Object-aware motion Preserves faces, hands, and fine details while animating.
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Camera-path estimation Simulates subtle pans, dolly moves, and push-ins.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the video motion (max 2000 chars) |
| image | Yes | Start frame image (URL or upload) |
| last_image | Yes | End frame image (URL or upload) |
| duration | No | Video length: 1-8 seconds (default: 5) |
| resolution | No | Output resolution: 720p (default), 1080p |
| bgm | No | Add background music (default: enabled) |
| movement_amplitude | No | Motion intensity: auto (default), small, medium, large |
| seed | No | Random seed for reproducibility (-1 for random) |
How to Use
- Upload start image — provide the first frame of the transition.
- Upload end image — provide the last frame of the transition.
- Write your prompt — describe the motion and transition between frames.
- Set duration — choose video length from 1 to 8 seconds.
- Select resolution — 720p for faster processing, 1080p for higher quality.
- Configure options (optional) — enable/disable BGM, adjust motion amplitude.
- Run — submit and download your video.
Pricing
| Resolution | Base price | Per additional second |
|---|---|---|
| 720p | $0.04 | $0.01 |
| 1080p | $0.08 | $0.02 |
Examples
| Resolution | Duration | Total cost |
|---|---|---|
| 720p | 1s | $0.04 |
| 720p | 5s | $0.08 |
| 720p | 8s | $0.11 |
| 1080p | 1s | $0.08 |
| 1080p | 5s | $0.16 |
| 1080p | 8s | $0.22 |
Best Use Cases
- Scene Transitions — Seamless bridges between shots in long-form content.
- Before/After Sequences — Demonstrate change-over-time with smooth motion.
- Film Previsualization — Explore transitions and camera moves early.
- Storyboard Animation — Bring static boards to life between key beats.
- Time-lapse Effects — Create smooth temporal transitions between two states.
Pro Tips
- Ensure start and end frames have similar aspect ratios for best results.
- Use clear prompts describing the motion between frames.
- For big pose or layout jumps, consider shorter durations for smoother transitions.
- Set movement_amplitude to “small” for subtle, professional transitions.
- Use a specific seed to reproduce the same result across runs.
- Enable BGM to add fitting background music automatically.
Notes
- Prompt, image, and last_image are all required fields.
- Maximum video duration is 8 seconds.
- Start and end frames should share similar visual characteristics for best continuity.
- Ensure uploaded image URLs are publicly accessible.
- Seed value -1 generates a random seed each time.
Related Models
- Vidu Q2 Pro Fast Image-to-Video — Single image to video generation.
- Vidu Q3 Image-to-Video — Latest generation image-to-video with audio.
- Vidu Q3 Text-to-Video — Generate video from text descriptions.
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/q2-pro/start-end-to-video-fast" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"duration": 5,
"resolution": "720p",
"bgm": true,
"movement_amplitude": "auto",
"seed": -1
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${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 video. | |
| last_image | string | Yes | - | - | The end image for generating the video. |
| duration | number | No | 5 | 1 ~ 8 | The duration of the generated video in seconds. |
| resolution | string | No | 720p | 720p, 1080p | Video resolution. |
| bgm | boolean | No | true | - | Whether to add background music to the output. |
| movement_amplitude | string | No | auto | auto, small, medium, large | The movement amplitude of objects in the frame. |
| seed | integer | No | -1 | -1 ~ 2147483647 | The random seed. -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. |
| 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 |