Kwaivgi Kling V2.0 T2V Master
Playground
Try it on WavespeedAI!Kling 2.0 Master is a Text-to-Video model featuring a Multi-Elements Editor, improved prompt understanding, and refined character motion. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Kling 2.0 Key Features
Enhanced Prompt Adherence
Kling 2.0 interprets complex user prompts with sequential actions more precisely than ever. It can accurately understand intricate character actions, delicate expressions, and advanced camera movements, allowing professional-grade control over visual sequences.
Better Motion Dynamics
Kling 2.0 supports a greater motion range with more natural and fluid character movements. It generates immersive sequences simulating complex motions with realistic detail.
Improved Visual Aesthetics
Kling 2.0 produces higher-quality videos featuring richer details and more accurate visual style control. It enables cinematic-level sequences with dramatic expressions and consistent styles using reference images.
Multi-Elements Editor
Kling 2.0 introduces a powerful video editor that allows users to add, swap, or delete video content using text or image inputs. Users can swap elements such as clothing or even entire subjects, enabling greater customization and creative control.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/kwaivgi/kling-v2.0-t2v-master" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"aspect_ratio": "16:9",
"duration": 5
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. | |
| aspect_ratio | string | No | 16:9 | 16:9, 9:16, 1:1 | The aspect ratio of the generated media. |
| negative_prompt | string | No | - | The negative prompt 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 | Array of URLs to the generated content (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.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| 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 |