Kwaivgi Kling V2.1 I2V Pro

Playground

Kling 2.1 Pro is an advanced endpoint for the Kling 2.1 model, offering professional-grade videos with enhanced visual fidelity, precise camera movements, and dynamic motion control, perfect for cinematic storytelling.

Features

Kling 2.1 Pro

Kling 2.1 Pro is a high-end extension of the Kling 2.1 image-to-video model, designed for professional creators seeking cinematic quality and control.

🎥 Key Features

Enhanced Visual Fidelity
Delivers sharper details, refined lighting, and more realistic rendering.
Precise Camera Movements
Supports complex tracking, dolly, pan, and zoom effects for narrative depth.
Dynamic Motion Control
Allows fine-tuned control over character and object motion for high-impact storytelling.

🎬 Use Case

Perfect for creators, filmmakers, and studios aiming to generate cinematic sequences from images and prompts with a high degree of realism and directorial control.

Kling 2.1 Pro brings professional-grade visual storytelling to the next generation of generative video.

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-v2.1-i2v-pro" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "prompt": "FPV cockpit view, hands grip the controls as the ship dives through laser fire and exploding debris. Enemy fighters streak past the glass, HUD elements flash red. Distant explosions light up the void.Intense, fast-paced, immersive sci-fi action",
    "negative_prompt": "blur, distort, and low quality",
    "image": "https://d3gnftk2yhz9lr.wavespeed.ai/media/images/1750647347282425568_rAJFCyuq.jpg",
    "guidance_scale": 0.5,
    "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		-	Text prompt for generation; Positive text prompt; Cannot exceed 2500 characters.
negative_prompt	string	No		-	Negative text prompt; Cannot exceed 2500 characters.
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.
guidance_scale	number	No	0.5	0.00 ~ 1.00	The guidance scale to use for the generation.
duration	string	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

Result Query Parameters

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, the ID of the prediction to get
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

Kwaivgi Kling V2.1 I2v Master Kwaivgi Kling V2.1 I2v Standard