Kling 3.0
Create a video
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MODEL GUIDE
Build with Kling 3.0
Create a video with Kling 3.0. Try its settings in the playground and copy the same request into your application.
How to use this model
- Choose create a video and adjust the settings above.
- Add the input media required by your task. Use a public URL or a media ID from your account.
- Run the request, review the result, then copy the API code.
One request, any integration
Send POST /api/v3/run with model: kling-v3-video-create/standard. The API returns the run ID and expected cost. Read GET /api/v3/run/{id} for its status and result URLs, or provide a webhook URL.
In MCP, use run with the same model and parameters.
Versions: Standard (default), Pro.
Parameters
These fields come from this model’s API schema. The server also validates input combinations and conditional limits.
| Parameter | Type | Requirements / values / default |
|---|---|---|
duration | integer | Optional · Default: 5 · Minimum: 3 · Maximum: 15 |
aspect_ratio | string | Optional · Values: "9:16", "1:1", "16:9" · Default: "16:9" |
generate_audio | boolean | Optional · Default: true |
guidance_scale | number | Optional · Default: 0.5 · Minimum: 0 · Maximum: 1 |
prompt | string | Required · Minimum 1 character · Maximum 2500 characters |
negative_prompt | string | Optional |
first_frames | array | Optional · Minimum 1 item when supplied · Maximum 1 item |
last_frames | array | Optional · Minimum 1 item when supplied · Maximum 1 item |
webhook_url | string | Optional · Public HTTPS destination for this Run. No registration required. Deliveries use Ed25519 signatures; public keys: /.well-known/jwks.json. · Maximum 2048 characters |
How do billing and results work?
Estimate the current request with POST /api/v3/run/estimate before generating. Generations use your Fusara balance. A successful run includes direct output URLs; save results you need before their links expire. An estimate does not create a run.
Can I use this model from an agent?
Connect your client to https://fusara.ai/mcp. Use get_model to discover the current schema, estimate_run for the expected cost, and run to start.