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-1.6-text2video"
# Request payload
data = {
"prompt": "a scene shows a shitzu puppy walking through long grass",
"negative_prompt": "No buildings, no artificial objects",
"cfg_scale": 0.5,
"mode": "std",
"aspect_ratio": "16:9",
"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
Text prompt to describe the desired image
Description of unwanted elements
CFG scale to control how closely the image matches the prompt (range 0-1)
min : 0,
max : 1
std: Standard Mode, generates videos faster and has lower inference costs. pro: currently does not support professional mode
Allowed values:
Aspect ratio of the output image
Allowed values:
Duration of the output 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 1.6 Text to Video
Kling 1.6 Text-to-Video is the latest iteration of Kuaishou's AI video generator, offering remarkable enhancements over its predecessor, Kling 1.5. This upgrade focuses on delivering superior video quality, improved user experience, and advanced features that cater to both novice and professional creators.
Key Features Kling 1.6 Text to Video
Enhanced Prompt Adherence
Kling 1.6 significantly improves its ability to understand and execute user prompts, resulting in videos that closely align with the creator's intentions. This enhancement allows for more precise translations of complex descriptions into engaging visual narratives, making it easier for users to maintain artistic direction throughout their projects.
Dynamic Result Generation
The model excels in producing visually captivating videos by incorporating various elements such as transitions, effects, and pacing. This capability ensures that the final product is not only aesthetically pleasing but also engaging for viewers, surpassing the output quality of Kling 1.5
Dual Operating Modes
Kling 1.6 introduces two distinct modes: Standard Mode for quick and user-friendly outputs, ideal for beginners, and Professional Mode, which offers advanced customization options for experienced users seeking greater control over their video projects. This flexibility allows creators to choose a workflow that best suits their needs.
Realism and Physical Simulation
One of the standout advancements in Kling 1.6 is its ability to accurately simulate physical interactions within video outputs. This attention to detail enhances the realism of generated scenes, making them more believable and immersive compared to those produced by Kling 1.5.
Improved Character Performance
The latest version showcases enhanced character performance capabilities, capturing a wider range of emotional expressions and complex body movements. This improvement adds depth to character-driven narratives, allowing for more relatable and engaging storytelling.
Semantic Understanding and Scene Comprehension
Kling 1.6 demonstrates a refined ability to comprehend intricate scenes and continuous actions, making it a powerful tool for creators looking to produce detailed video content that accurately reflects their vision.
Faster Rendering Speeds
With significantly faster rendering times compared to Kling 1.5, users can generate high-quality videos more efficiently. This speed is crucial for content creators who need to produce large volumes of work quickly without compromising on quality.
Use cases of Kling 1.6 Text to Video
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Content Creation for Social Media: Kling 1.6 is ideal for social media marketers and influencers looking to create engaging video content quickly. Users can generate short, eye-catching videos for platforms like Instagram, TikTok, or YouTube Shorts by simply inputting creative text prompts. The model’s ability to produce cinematic-quality videos ensures that content stands out in crowded feeds, enhancing audience engagement and shareability.
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Educational Video Production: Educators can leverage Kling 1.6 to create informative and visually appealing educational videos. By transforming lesson plans or complex topics into dynamic visual narratives, teachers can enhance student understanding and retention. The model’s capability to simulate real-world physics and accurately represent concepts makes it an effective tool for developing interactive learning materials.
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Marketing and Promotional Videos: Businesses can utilize Kling 1.6 to produce high-quality promotional videos tailored to specific campaigns. The model allows marketers to craft compelling narratives that highlight products or services, complete with realistic animations and engaging visuals. This feature is particularly beneficial for e-commerce brands looking to showcase their offerings in a more dynamic way.
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Entertainment and Storytelling: Filmmakers and content creators in the entertainment industry can use Kling 1.6 to generate realistic animations and special effects for films, TV shows, or video games. The advanced motion control and lifelike character performances enable creators to bring their stories to life with greater depth and realism, making it easier to visualize complex scenes and narratives.
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