Kwaivgi Kling V2.1 I2V Pro API Documentation
Playground
Try it on WaveSpeedAI!Kling 2.1 Pro converts images to professional cinematic videos with enhanced fidelity, precise camera moves and dynamic motion control. Ready-to-use REST inference API, top performance, no coldstarts, affordable pricing.
Features
Kling v2.1 I2V Pro turns a single reference image into a short, cinematic video clip guided by your prompt. Upload an image, describe the motion (subject + camera + environment), and the model animates the scene while keeping the input image as the visual anchor. Built for stable production use with a ready-to-use REST API, no cold starts, and predictable pricing.
Key capabilities
- Image-to-video generation anchored to your input image
- Prompt-controlled motion: facial micro-expressions, hair/clothing movement, environment effects
- Cinematic camera moves: push-in, orbit, pan, tilt, handheld feel
- Supports negative_prompt to reduce artifacts and unwanted styles
Pricing
| Duration | Price |
|---|---|
| 5s | $0.45 |
| 10s | $0.90 |
| 15s | $1.35 |
| 20s | $1.80 |
Inputs
- image (required): the reference image used as the visual anchor
- prompt (required): describe what moves and how the camera behaves
- negative_prompt (optional): describe what to avoid (blur, distortions, artifacts)
Parameters
- prompt: motion + scene direction for the clip
- negative_prompt: optional “avoid list”
- image: input image (upload or URL)
- guidance_scale: how strongly motion follows your prompt (lower = more natural, higher = more literal)
- duration: video length in seconds
Prompting guide (I2V)
Write prompts like a director’s brief, focusing on motion:
- Subject motion: expression change, breathing, walking, turning, hair swaying
- Environment motion: wind, rain, fog, particles, light rays
- Camera motion: slow push-in, orbit, dolly, handheld micro-shake
- Continuity: keep identity, outfit, and scene layout consistent with the input image
Example prompts
- A cinematic close-up of a woman laughing on a sunny city street. Her hair sways in the wind, coat fabric subtly moves, warm natural light, shallow depth of field, camera slow push-in, smooth motion, 5 seconds.
- Portrait in golden hour. Gentle breeze, subtle facial motion, soft lens flare, handheld micro-sway, realistic skin texture, 5 seconds.
- Moody night street scene. Light rain, drifting mist, neon reflections, camera slow orbit around the subject, 5 seconds.
Negative prompt examples
- blur, distort, low quality
- jitter, warping, melted details, extra limbs
- watermark, logo, subtitles, text artifacts
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(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-v2.1-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 "${PREDICTION_ID}" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"
# 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' "${RESULT}" | jq '.outputs'; break ;;
failed|cancelled|timeout|deleted) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
*) sleep 2 ;;
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 | |
| image | string | Yes | - | 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_prompt | string | No | - | The negative prompt for the generation. | |
| guidance_scale | number | No | 0.5 | 0 ~ 1 | The guidance scale to use for the generation. |
| duration | integer | No | 5 | 5, 10 | The duration of the generated media in seconds. |
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.status | string | Task status. completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses. |
| 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.status | string | Status: completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses |
| 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 |