Kwaivgi Kling V2.1 I2V Master
Playground
Try it on WavespeedAI!Kling 2.1 Master is a premium image-to-video endpoint delivering fluid motion, cinematic visuals, and precise prompt-driven control. Ready-to-use REST API, best performance, no coldstarts, affordable pricing.
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 ${WAVESPEED_API_KEY}" \
--data-raw '{
"guidance_scale": 0.5,
"duration": 5
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. | |
| negative_prompt | string | No | - | The negative prompt for the generation. | |
| 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 | 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 |