Kwaivgi Kling V1.6 I2V Standard

Kwaivgi Kling V1.6 I2V Standard

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Kling 1.6 is an Image-to-Video model with 195% improvement over 1.5, with improved prompt understanding, physics and visual effects. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Kling V1.6 Image-to-Video Standard is Kuaishou’s reliable image-to-video generation model that transforms static images into dynamic videos with smooth, natural motion. Upload an image, describe the action, and watch your photo come to life.


Why It Stands Out

  • Image-driven generation: Animate any image while preserving its original style and composition.
  • Prompt-guided motion: Describe the action you want and the model brings it to life.
  • Prompt Enhancer: Built-in AI-powered prompt optimization for better results.
  • Negative prompt support: Exclude unwanted elements for cleaner outputs.
  • Guidance control: Adjust how closely the output follows your prompt.
  • Flexible duration: Choose video length based on your needs.

Parameters

ParameterRequiredDescription
promptYesText description of desired motion and action.
imageYesSource image to animate (upload or public URL).
negative_promptNoElements to avoid in the output.
guidance_scaleNoPrompt adherence strength (default: 0.5).
durationNoVideo length in seconds (default: 5).

How to Use

  1. Upload your source image — drag and drop a file or paste a public URL.
  2. Write a prompt describing the motion you want. Use the Prompt Enhancer for AI-assisted optimization.
  3. Add a negative prompt (optional) — specify elements to exclude.
  4. Adjust guidance scale — higher values follow prompts more strictly.
  5. Set duration — choose how long you want the video to be.
  6. Click Run and wait for your video to generate.
  7. Preview and download the result.

Best Use Cases

  • Portrait Animation — Bring portrait photos to life with natural movement.
  • Social Media Content — Turn photos into engaging video posts.
  • Marketing & Advertising — Animate product images and hero shots.
  • E-commerce — Create dynamic product showcases from static photography.
  • Creative Projects — Animate artwork, illustrations, and personal photos.

Pricing

DurationPrice
5 seconds$0.25
10 seconds$0.50

Pro Tips for Best Quality

  • Use high-resolution, well-lit source images for optimal results.
  • Keep prompts simple and focused on the main action (e.g., “The woman walks forward”).
  • Use lower guidance scale (0.3–0.5) for more natural motion.
  • Use higher guidance scale (0.6–0.8) for stronger prompt adherence.
  • Use negative prompts to reduce artifacts like blur or distortion.

Notes

  • 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",
  "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
  "guidance_scale": 0.5,
  "duration": 5
}
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-i2v-standard" \
  -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
imagestringYes-First frame of the video; Supported image formats include.jpg/.jpeg/.png; The image file size cannot exceed 10MB, and the image resolution should not be less than 300*300px.
negative_promptstringNo-The negative prompt for the generation.
guidance_scalenumberNo0.50 ~ 1The guidance scale to use for the generation.
durationintegerNo55, 10The duration of the generated media in seconds.

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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