Kwaivgi Kling V2.1 I2V Master
Playground
Try it on WavespeedAI!Kling 2.1 Master: The premium endpoint for Kling 2.1, designed for top-tier image-to-video generation with unparalleled motion fluidity, cinematic visuals, and exceptional prompt precision.
Features
Kling 2.1
Kling 2.1 is Kuaishou’s advanced image-to-video generation model released in 2025. Designed for high-fidelity cinematic output, Kling 2.1 transforms reference images — with optional text prompts — into visually rich, lifelike video clips.
🔧 Key Technology
-
3D Spatiotemporal Attention Architecture
Enables realistic motion and coherent visual progression across frames. -
Real-World Physics Simulation
Produces natural, fluid, and intricate character movements and scene dynamics.
🎬 Core Features
-
Image-to-Video Transformation
Generates cinematic sequences from static images, optionally guided by user text. -
AI-Assisted Prompting
Offers intelligent prompt suggestions to help users craft effective input instructions. -
Multiple Video Variants
Capable of producing diverse outputs from the same prompt for greater creative flexibility.
🚀 Performance
Kling 2.1 marks a major leap over Kling 2.0 in:
- Visual Realism
- Motion Coherence
- Prompt Adherence
In comparative evaluations, it rivals the quality of top-tier closed-source video generation models.
Kling 2.1 sets a new benchmark for generative video, blending artistry, physics, and AI precision.
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-master" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"prompt": "The scene opens with a small fishing boat caught in the midst of a raging storm. The sky is dark and ominous, filled with swirling clouds and flashes of lightning. The sea is tumultuous, with massive waves crashing against the boat, threatening to capsize it. The boat's deck is slick with rain, and the crew members are struggling to maintain control.",
"negative_prompt": "blur, distort, and low quality",
"image": "https://d3gnftk2yhz9lr.wavespeed.ai/media/images/1749522950129341275_kHvrnkgd.jpeg",
"guidance_scale": 0.5,
"duration": "5"
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${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 |