Kwaivgi Kling Video O1 Image To Video
Playground
Try it on WaveSpeedAI!Kling Omni Video O1 Image-to-Video transforms static images into dynamic cinematic videos using MVL (Multi-modal Visual Language) technology. Maintains subject consistency while adding natural motion, physics simulation, and seamless scene dynamics. Ready-to-use REST API, best performance, no coldstarts, affordable pricing.
Features
Kling Omni Video O1 is Kuaishou’s groundbreaking unified multi-modal video model. The Image-to-Video mode brings your static images to life with intelligent motion, maintaining perfect subject consistency while adding natural dynamics and cinematic quality.
🌟 Key Capabilities
Intelligent Image Animation
Transform any image into a flowing video sequence:
- Adds natural, physics-based motion to static subjects
- Preserves original image details and composition
- Creates smooth, realistic transitions
Subject Consistency
Advanced understanding of input images ensures:
- Stable character identity across all frames
- Consistent props and scene elements
- Maintained color tones and lighting style
Multi-Modal Understanding
Combine your image with text prompts to control:
- Direction and type of motion
- Camera movements and angles
- Scene dynamics and atmosphere
🎬 Core Features
- Motion Intelligence — AI understands what should move and how
- Detail Preservation — Original image quality maintained throughout
- Physics Simulation — Natural, believable movement patterns
- Prompt Control — Guide animation with text descriptions
🚀 How to Use
-
Upload Your Image Provide a high-quality source image as the starting frame.
-
Add Motion Prompt (Optional) Describe the desired motion, camera movement, or scene dynamics. > Example: “Gentle wind blowing through hair, soft camera push-in, leaves falling in background”
-
Set Parameters Choose duration, resolution, and output format.
-
Generate Receive your animated video with natural motion.
💰 Pricing
| Item | Price |
|---|---|
| Per Second | $0.112 |
Billed per second of output video duration.
💡 Pro Tips
- Use high-resolution, clear source images for best results
- Describe specific motions rather than abstract concepts
- Combine with camera movement terms for cinematic effects
- Works best with images containing clear subjects and depth
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(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",
"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-video-o1/image-to-video" \
-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. | |
| image | string | Yes | - | first_frame is the first frame | |
| last_image | string | No | - | - | last_frame is the last frame. |
| duration | integer | No | 5 | 3, 4, 5, 6, 7, 8, 9, 10 | The duration of the generated media. Only 5s or 10s are supported when last_image is not used. |
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 |