Kling AI Image to Video

Kling AI Image-to-Video is a powerful AI tool that transforms static images into captivating, animated videos. Create high-quality content effortlessly with Kling AI's advanced capabilities.

Playground API Pricing

API

If you're looking for an API, you can choose from your desired programming language.

POST

import requests
import base64

# Use this function to convert an image file from the filesystem to base64
def image_file_to_base64(image_path):
    with open(image_path, 'rb') as f:
        image_data = f.read()
    return base64.b64encode(image_data).decode('utf-8')

# Use this function to fetch an image from a URL and convert it to base64
def image_url_to_base64(image_url):
    response = requests.get(image_url)
    image_data = response.content
    return base64.b64encode(image_data).decode('utf-8')

api_key = "YOUR_API_KEY"
url = "https://api.segmind.com/v1/kling-image2video"

# Request payload
data = {
  "image": image_url_to_base64("https://segmind-sd-models.s3.amazonaws.com/display_images/kling_ip.jpeg"),  # Or use image_file_to_base64("IMAGE_PATH")
  "prompt": "Kitten riding in an aeroplane and looking out the window.",
  "negative_prompt": "No sudden movements, no fast zooms.",
  "cfg_scale": 0.5,
  "mode": "pro",
  "duration": 5
}

headers = {'x-api-key': api_key}

response = requests.post(url, json=data, headers=headers)
print(response.content)  # The response is the generated image

RESPONSE

image/jpeg

HTTP Response Codes

200 - OKImage Generated

401 - UnauthorizedUser authentication failed

404 - Not FoundThe requested URL does not exist

405 - Method Not AllowedThe requested HTTP method is not allowed

406 - Not AcceptableNot enough credits

500 - Server ErrorServer had some issue with processing

Attributes

imageimage *

URL of the input image to be animated

image_tailimage ( default: 1 )

URL of the tail image (optional)

promptstr ( default: Kitten riding in an aeroplane and looking out the window. )

Text prompt to describe the desired animation effect

negative_promptstr ( default: No sudden movements, no fast zooms. )

Description of unwanted animation effects

cfg_scalefloat ( default: 0.5 )

CFG scale to control how closely the animation matches the prompt (range 0-1)

min : 0,

max : 1

modeenum:str ( default: pro )

Mode of generation

Allowed values:

durationenum:str ( default: 5 )

Duration of the animation in seconds

Allowed values:

To keep track of your credit usage, you can inspect the response headers of each API call. The x-remaining-credits property will indicate the number of remaining credits in your account. Ensure you monitor this value to avoid any disruptions in your API usage.

Kling AI Image-to-Video Generation

Kling AI, developed by the Kuaishou AI Team, is a sophisticated AI model designed to transform static images into dynamic, high-quality videos. This model leverages advanced AI technologies to offer unparalleled video generation capabilities, making it an essential tool for content creators, marketers, and educators.

Key Features of Kling AI Image-to-Video

Dynamic-Resolution Training: The model’s dynamic-resolution training strategy allows it to create visually appealing content in various aspect ratios. This flexibility ensures that Kling AI can adapt to different video formats, making it suitable for a wide range of applications
KLING AI utilizes advanced 3D space-time attention and diffusion transformer technologies to accurately model movements and create imaginative scenes efficiently.
Kling AI supports the generation of videos up to 5s & 10s in length. This capability is particularly beneficial for creating comprehensive visual narratives and detailed educational content

How to use Kling AI Image-to-Video

Uploading an Image: Start by uploading an image that will serve as the initial frame of your video.
Drafting the Prompt: Provide a detailed text prompt that describes the desired video. Include specifics such as scene settings, character actions, and camera movements. For example, “A serene beach at sunset with waves gently crashing and seagulls flying overhead.”
Generating the Video: Enter your prompt into the designated text field and initiate the video generation process. Kling AI will process the input and create a video based on your description.
Customizing Output Settings: Adjust the output settings to match your project requirements. You can select the resolution, aspect ratio, and video length to ensure the final product meets your needs.

Best Practices for Optimal Results

Detailed Descriptions: The more specific and descriptive your text prompt, the better the AI can interpret and visualize your ideas. Include details about lighting, colors, and movements to enhance the realism of the generated video.
Iterative Refinement: Experiment with different prompts and settings to refine the output. Iterative adjustments allow you to achieve the best possible results by fine-tuning the input parameters.
High-Quality Image Inputs: Use high-resolution images to ensure that the initial frame of your video is clear and detailed. This will enhance the overall quality of the generated video.

Be sure to read Kling's AI Video Guide for more tips on how to use this model. https://docs.qingque.cn/d/home/eZQDvlYrDMyE9lOforCeWA4KP

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