Kwaivgi Kling V1.6 Multi I2V Pro

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

ParameterRequiredDescription
promptNoText description of desired motion and style.
negative_promptNoElements to avoid in the output.
imagesYesReference images to animate (1–4 images, upload or public URL).
durationNoVideo length: 5 or 10 seconds (default: 5).
aspect_ratioNoOutput aspect ratio: 16:9, 9:16, 1:1 (default: 16:9).

How to Use

  1. Upload your images — add 1 to 4 reference images via drag and drop or public URL.
  2. Write a prompt — describe the motion, camera movement, and visual style you want.
  3. Add a negative prompt (optional) — specify elements to exclude.
  4. Set duration — choose 5 or 10 seconds.
  5. Select aspect ratio — choose the format that fits your platform.
  6. Click Run and wait for your video to generate.
  7. 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

DurationPrice
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
done

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The positive prompt for the generation. max length 2500
imagesarray<string>Yes-0 ~ 4 itemsA list of images to use as style references.
negative_promptstringNo-The negative prompt for the generation.
durationintegerNo55, 10The duration of the generated media in seconds.
aspect_ratiostringNo1:11:1, 16:9, 9:16The aspect ratio of the generated media.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayOutput values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction
data.modelstringModel ID used for the prediction
data.outputsarray<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.urlsobjectObject containing related API endpoints
data.urls.getstringURL to poll for the prediction result
data.statusstringStatus: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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