Kwaivgi Kling V1.6 Multi I2V Pro
Playground
Try it on WaveSpeedAI!Kling 1.6 Multi Pro boosts image-to-video generation by 195% vs Kling 1.5, with improved prompt understanding, physics and visuals. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Kling V1.6 Multi-Image-to-Video Pro is Kuaishou’s advanced multi-image-to-video generation model that creates stunning videos from multiple reference images. Upload up to 4 images, describe the motion you want, and generate cinematic videos that blend and animate your source images seamlessly.
Why It Stands Out
- Multi-image input: Use up to 4 reference images for richer, more complex video generation.
- Pro-level quality: Premium output with exceptional detail and motion coherence.
- Prompt-guided motion: Describe camera movements, actions, and transitions.
- Negative prompt support: Exclude unwanted elements for cleaner outputs.
- Flexible aspect ratios: Choose from 16:9, 9:16, 1:1 to fit any platform.
- Commercial-grade output: Professional quality suitable for ads and branded content.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | No | Text description of desired motion and style. |
| negative_prompt | No | Elements to avoid in the output. |
| images | Yes | Reference images to animate (1–4 images, upload or public URL). |
| duration | No | Video length: 5 or 10 seconds (default: 5). |
| aspect_ratio | No | Output aspect ratio: 16:9, 9:16, 1:1 (default: 16:9). |
How to Use
- Upload your images — add 1 to 4 reference images via drag and drop or public URL.
- Write a prompt — describe the motion, camera movement, and visual style you want.
- Add a negative prompt (optional) — specify elements to exclude.
- Set duration — choose 5 or 10 seconds.
- Select aspect ratio — choose the format that fits your platform.
- Click Run and wait for your video to generate.
- Preview and download the result.
Best Use Cases
- Automotive & Product Ads — Create dynamic commercials from product photos.
- Travel & Lifestyle — Animate destination photos into cinematic sequences.
- Multi-Scene Storytelling — Blend multiple images into cohesive narratives.
- Marketing & Advertising — Produce high-quality branded video content.
- Creative Projects — Generate unique videos from artwork and photography.
Pricing
| Duration | Price |
|---|---|
| 5 seconds | $0.45 |
| 10 seconds | $0.90 |
Pro Tips for Best Quality
- Use high-resolution, well-lit source images for optimal results.
- Multiple images work best when they share visual consistency (style, lighting, subject).
- Be detailed in your prompt — describe camera movement, transitions, and atmosphere.
- Include cinematic keywords like “aerial drone shot,” “low-angle tracking,” “commercial film look.”
- Use negative prompts to reduce artifacts like blur or distortion.
- Choose 16:9 for widescreen commercials, 9:16 for social media verticals.
Notes
- Maximum 4 reference images per generation.
- Ensure uploaded image URLs are publicly accessible.
- Processing time varies based on duration and current queue load.
- Please ensure your prompts comply with content guidelines.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic ocean wave at sunrise, highly detailed",
"images": [
"https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
],
"duration": 5,
"aspect_ratio": "1:1"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/kwaivgi/kling-v1.6-multi-i2v-pro" \
-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. max length 2500 | |
| images | array<string> | Yes | - | 0 ~ 4 items | A list of images to use as style references. |
| negative_prompt | string | No | - | The negative prompt for the generation. | |
| duration | integer | No | 5 | 5, 10 | The duration of the generated media in seconds. |
| aspect_ratio | string | No | 1:1 | 1:1, 16:9, 9:16 | The aspect ratio of the generated media. |
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 |