API
If you're looking for an API, you can choose from your desired programming language.
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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-hug"
# Request payload
data = {
"first_reference_image": image_url_to_base64("https://segmind-resources.s3.amazonaws.com/output/60bad6a3-c59a-4dce-a17e-f8dc92297708-ComfyUI_temp_itxei_00003_.png"), # Or use image_file_to_base64("IMAGE_PATH")
"second_reference_image": image_url_to_base64("https://segmind-resources.s3.amazonaws.com/output/2fdabc7d-24f6-4836-8a09-df3f99f15d1a-ComfyUI_temp_itxei_00002_.png"), # Or use image_file_to_base64("IMAGE_PATH")
"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 imageAttributes
First Reference Image
Second Reference Image
Mode of generation
Allowed values:
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 Hug Effect
The Kling hug effect from Kling AI empowers users to effortlessly generate heartfelt video animations depicting embracing motions. Ideal for anyone seeking to create emotional content or expressions of affection, Kling hug effect offers a simple yet powerful way to add a touch of tenderness to visual narratives. Its key differentiator lies in its intuitive application, allowing users to bring hugging animations to life.
Key Features of Kling FuzzyFuzzy Effect
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Generates Hugging Animations - Effortlessly creates video or animation sequences showcasing characters or subjects in an embrace, saving time and resources compared to manual animation. This allows for the quick visualization of affectionate interactions.
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Facilitates Emotional Expression - Provides a direct and visually compelling way to convey feelings of warmth, love, and connection in video format. This can enhance storytelling and resonate deeply with viewers seeking emotional content.
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Versatile Application - Can be applied to various subjects, whether abstract shapes, text prompts, or existing images, offering flexibility in creating diverse hugging scenarios. This opens up numerous creative possibilities for personalized and unique visuals.
Kling-hug offers a streamlined approach to generating heartfelt hugging animations, making it an invaluable tool for anyone looking to infuse their visual content with warmth, affection, and genuine emotion. Its ease of use and versatile applications empower users across various domains to effortlessly create compelling and emotionally resonant videos.
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