Kling V1.6 I2V Standard
Generate 5s videos in 720p resolution from image
Features
Kling-V1.6-i2v-Standard is an AI image-to-video generation model developed by the Kuaishou AI Team, now available on WaveSpeedAI. It transforms static images into dynamic 5-second videos at 720p resolution, offering high-quality visual outputs with enhanced motion and semantic understanding.
Key Features
- High-Quality Video Output: Generates 5-second videos at 720p resolution with vivid details and cinematic quality.
- Enhanced Motion Rendering: Utilizes advanced dynamic rendering techniques to create smooth and natural movements.
- Improved Semantic Understanding: Excels in interpreting complex user prompts to generate coherent and dynamic scenes.
- Physical Realism: Simulates realistic physical properties and movements for lifelike videos.
- Fast Processing: Optimized for efficient generation, allowing quick creation of high-quality videos.
- Customizable Parameters: Offers adjustable settings such as duration, quality, and style for greater control over outputs.
ComfyUI
Kling-V1.6-i2v-Standard is also available on ComfyUI, providing local inference capabilities through a node-based workflow. This ensures flexible and efficient video generation on your system, catering to various creative workflows.
Limitations
- Creative Focus: Designed primarily for creative video synthesis; not intended for generating factually accurate content.
- Inherent Biases: Outputs may reflect biases present in the training data.
- Input Sensitivity: The quality and consistency of generated videos depend significantly on the quality of the input image; subtle variations may lead to output variability.
- Resolution Limitation: This model is optimized for 720p video generation and does not support higher resolutions like 1080p.
Out-of-Scope Use
The model and its derivatives may not be used in any way that violates applicable national, federal, state, local, or international law or regulation, including but not limited to:
- Exploiting, harming, or attempting to exploit or harm minors, including solicitation, creation, acquisition, or dissemination of child exploitative content.
- Generating or disseminating verifiably false information with the intent to harm others.
- Creating or distributing personal identifiable information that could be used to harm an individual.
- Harassing, abusing, threatening, stalking, or bullying individuals or groups.
- Producing non-consensual nudity or illegal pornographic content.
- Making fully automated decisions that adversely affect an individual’s legal rights or create binding obligations.
- Facilitating large-scale disinformation campaigns.
Accelerated Inference
Our accelerated inference approach leverages advanced optimization technology from WavespeedAI. This innovative fusion technique significantly reduces computational overhead and latency, enabling rapid image generation without compromising quality. The entire system is designed to efficiently handle large-scale inference tasks while ensuring that real-time applications achieve an optimal balance between speed and accuracy. For further details, please refer to the blog post.
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-v1.6-i2v-standard" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"prompt": "The woman driving a red convertible supercar along a scenic Mediterranean coastal road. The video begins with a slow cinematic drone shot from high above, capturing the winding cliffside highway and sparkling ocean below. The drone then swoops down, transitioning into a smooth pan along the car’s body. A close-up reveals the woman’s confident face behind chic sunglasses, her hair flowing in the wind. As the car speeds ahead, the camera follows from behind, revealing the sunlit coastline stretching into the horizon. Golden hour lighting, elegant, aspirational tone, smooth camera motion, cinematic drone transitions",
"image": "https://d2g64w682n9w0w.cloudfront.net/media/images/1745145676350203025_T0lFAytr.jpg",
"guidance_scale": 0.5,
"duration": "5"
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/kwaivgi/kling-v1.6-i2v-standard/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
Parameter | Type | Required | Default | Range | Description |
---|---|---|---|---|---|
prompt | string | No | The woman driving a red convertible supercar along a scenic Mediterranean coastal road. The video begins with a slow cinematic drone shot from high above, capturing the winding cliffside highway and sparkling ocean below. The drone then swoops down, transitioning into a smooth pan along the car’s body. A close-up reveals the woman’s confident face behind chic sunglasses, her hair flowing in the wind. As the car speeds ahead, the camera follows from behind, revealing the sunlit coastline stretching into the horizon. Golden hour lighting, elegant, aspirational tone, smooth camera motion, cinematic drone transitions | - | 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 | https://d2g64w682n9w0w.cloudfront.net/media/images/1745145676350203025_T0lFAytr.jpg | - | 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 | Flexibility in video generation; The higher the value, the lower the model’s degree of flexibility, and the stronger the relevance to the user’s prompt. |
duration | string | No | 5 | 5, 10 | Generate video duration length 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 |
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 |