Kwaivgi Kling V2.1 I2V Pro
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 "${PREDICTION_ID}" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL=$(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 | |
| 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.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 |