kwaivgi/kling-video/v2/master/image-to-video
Kling Video V2 Master by KwaiVGI - animate still images into dynamic videos with AI. Transform photos into cinematic clips with natural motion, camera movement, and optional audio generation.
PNG, JPEG, WebP, or GIF · 20 MiB maximum
Example output — click Run to generate your own
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
https://api.sandbase.ai/v1/runkwaivgi/kling-video/v2/master/image-to-videoInput Schema
3 parameters · 2 required · 1 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
image | string | Required | URL of the image to be used for the video |
prompt | string | Required | Max length: 2500 |
duration | integer | Optional | The duration of the generated video in seconds · Options: 5, 10 · Default: 5 510 |
Output Schema
| Field | Type | Description |
|---|---|---|
id | string | Unique identifier for the generation task |
status | string | Task status: pending, running, completed, failed, timeout |
model | string | Model used for the generation |
outputs | array | Array of output items |
outputs[].url | string | URL of the generated artifact |
outputs[].content_type | string | MIME type (e.g. image/png, video/mp4) |
error | object | null | Error details if failed, null on success |
error.type | string | Machine-readable error type code |
error.message | string | Human-readable error description |
Async Workflow
This model uses asynchronous execution. Submit a request and poll for the result.
- Submit — POST to /v1/run, receive an
id - Poll — GET /v1/run/{id} until status is
completed,failed, ortimeout - Retrieve — Read
outputsfrom the completed response
Code Examples
Ready-to-run snippets
# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "kwaivgi/kling-video/v2/master/image-to-video",
"image": "https://v3.fal.media/files/elephant/rkH-9qoXtXu3rAYTsx9V5_image.webp",
"prompt": "slow-motion sequence captures the catastrophic implosion of a skyscraper, dust and debris billowing outwards in a chaotic ballet of destruction, while a haunting, orchestral score underscores the sheer power and finality of the event.",
"duration": 5
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
Kling Video V2 Master
Kling Video V2 Master is a image-to-video animation endpoint in the Kling family. It is built for creators who need to turn a concrete creative brief into a controlled visual sequence: the request establishes the source material, the intended subject behavior, the camera language, and the atmosphere of the finished shot. The standard route keeps that workflow explicit instead of hiding its input assumptions behind a generic video-generation label.
In practice, this route accepts image as creative context and exposes duration for delivery planning. That makes it suitable for shot-based pipelines where teams must preserve a source, direct a transformation, or control the final format without losing sight of the model's central task. Write prompts as a compact shot plan—subject, action, setting, camera, light, and timing—then use the structured fields for constraints that should remain deterministic across iterations.
Highlights
- First-frame animation. Turns a supplied still into moving footage while the prompt specifies subject action, camera behavior, and atmosphere.
- Controllable shot length. Duration or frame-count controls make timing an explicit part of the generation brief.
- Temporal coherence. The Kling generation path is designed around continuous motion across a shot, not a collection of unrelated frames.
- Production iteration. Seed and sampling controls support repeatable comparisons when refining motion, framing, and visual treatment.
Pricing
The request price is calculated with params.duration * 0.28.
| Configuration | Price |
|---|---|
| duration=5 | $1.400000 |
| duration=10 | $2.800000 |
The model card records a base price of $1.400000; the formula above determines usage-priced requests.
When to Use
| Scenario | Recommendation |
|---|---|
| Choose this route | Use it when the deliverable specifically calls for image-to-video animation, rather than a neighboring generation mode. |
| Prepare the source | Provide image in the format described by the request schema. |
| Direct the shot | Describe the subject, action, environment, camera movement, lighting, and temporal progression in that order. |
| Control continuity | Use endpoint frames, reference media, strength, or audio controls when those fields are available instead of burying hard constraints in prose. |
| Plan delivery | Set duration, frame count, resolution, and aspect ratio explicitly when the schema exposes them, then compare iterations with a stable seed where supported. |
Prompt Guide
For image-to-video animation, describe one coherent shot rather than a list of visual keywords. Put the main subject and action first, follow with location and staging, then add camera movement, lens or framing, lighting, mood, and any timed change. Keep URLs and hard delivery choices in their dedicated fields.
{
"prompt": "slow-motion sequence captures the catastrophic implosion of a skyscraper, dust and debris billowing outwards in a chaotic ballet of destruction, while a haunting, orchestral score underscores the sheer power and finality of the event.",
"image": "https://v3.fal.media/files/elephant/rkH-9qoXtXu3rAYTsx9V5_image.webp",
"duration": 5
}
Technical Specs
| Specification | Value |
|---|---|
| Model ID | kwaivgi/kling-video/v2/master/image-to-video |
| Required inputs | prompt, image |
| Execution | Asynchronous generation job |
| Request controls | 3 documented fields |
| Output | url, content_type |
Request fields
| Field | Type and constraints |
|---|---|
image | string; Required |
prompt | string; Required |
duration | integer; Optional; Options: 5, 10; Default: 5 |