Vidu Q2 Pro Image To Video Fast
Playground
Try it on WaveSpeedAI!Vidu Q2 Pro Fast Image to Video generates high-quality videos from a single image with faster generation speed. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
Features
Vidu Q2 Pro Fast is a high-quality image-to-video generation model that combines the visual quality of Q2 Pro with faster generation speeds. Upload a single image and describe the motion — the model generates cinematic video with object-aware animation, making it ideal for rapid iteration and production workflows.
Why Choose This?
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Fast generation Significantly faster than Q2 Pro while maintaining high visual quality.
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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 for cinematic results.
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Motion control Adjust movement amplitude for subtle or dynamic animations.
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Background music Optional BGM to enhance the output video.
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Prompt Enhancer Built-in tool to automatically improve your motion descriptions.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the video motion (max 2000 chars) |
| image | Yes | Reference image to animate (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 your image — provide the reference image to animate.
- Write your prompt — describe the motion, camera movement, and action.
- 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 | $0.22 |
Best Use Cases
- Rapid Prototyping — Quickly iterate on video concepts.
- Social Media Content — Fast turnaround for marketing videos.
- Product Animations — Bring product images to life with natural motion.
- Storyboard Visualization — Animate static frames for pre-production.
- Fashion & Lifestyle — Create runway or lifestyle video from still shots.
Pro Tips
- Use clear, descriptive prompts with specific motion details for best results.
- Set movement_amplitude to “small” for subtle, professional motion.
- Higher resolution (1080p) takes longer but produces sharper output.
- Use a specific seed to reproduce the same result across runs.
- Describe camera movement (tracking shot, push-in, pan) for cinematic results.
- Enable BGM to add fitting background music automatically.
Notes
- Both prompt and image are required fields.
- Maximum video duration is 8 seconds.
- Ensure uploaded image URLs are publicly accessible.
- Seed value -1 generates a random seed each time.
Related Models
- Vidu Q3 Image-to-Video — Latest generation image-to-video with audio generation.
- Vidu Q3 Text-to-Video — Generate video directly from text descriptions.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic ocean wave at sunrise, highly detailed",
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"duration": 5,
"resolution": "720p",
"bgm": true,
"movement_amplitude": "auto",
"seed": -1
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/vidu/q2-pro/image-to-video-fast" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
-H "Content-Type: application/json" \
-d "${REQUEST_BODY}")
TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi
# 2. Poll until the prediction finishes.
while true; do
RESPONSE=$(curl --silent --show-error --fail-with-body \
"${RESULT_URL}" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}")
RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')
case "${STATUS}" in
completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
failed|cancelled|timeout) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
created|processing) sleep 2 ;;
*) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
esac
doneParameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. | |
| image | string | Yes | - | The input 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 | - | 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 | Output values, usually URL strings; some models return text strings or structured result objects (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 |
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 |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<string | object> | Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model. |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to poll for the prediction result |
| data.status | string | Status: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created |
| 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 |