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const axios = require('axios');
const api_key = "YOUR API-KEY";
const url = "https://api.segmind.com/v1/kling-3-pro-text2video";
const data = {
"prompt": "A dragon flying over mountains at sunset, vibrant colors, epic scene",
"negative_prompt": "fog, noise, dark lighting",
"duration": 10,
"aspect_ratio": "16:9",
"cfg_scale": 0.6,
"generate_audio": true
};
(async function() {
try {
const response = await axios.post(url, data, { headers: { 'x-api-key': api_key } });
console.log(response.data);
} catch (error) {
console.error('Error:', error.response.data);
}
})();Attributes
Text description for video subject and scene to generate.
List elements to exclude. Avoid 'fog', 'noise' for clearer videos.
Controls video length in seconds. Short for ads; long for storytelling.
Allowed values:
min : 3,
max : 4
Width-height ratio. 16:9 for cinema, 1:1 for social media.
Allowed values:
Adjusts prompt adherence strength. Use 0.7 for clarity, 0.3 for creativity.
min : 0,
max : 1
Toggle to generate audio. Enable for immersive scenes.
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 3.0: Text-to-Video Model (1080p + Native Audio)
What is Kling 3.0?
Kling 3.0 (via fal.ai) is a generative text-to-video and image-to-video model built for cinematic 1080p video generation with native audio. It’s designed for creators and developers who need structured storytelling—not just single clips—thanks to multi-shot storyboarding, consistent subject rendering, and realistic motion. Kling’s strengths show up in scenes that require camera movement, physics-driven effects (fabric, hair, liquids), and coherent visual continuity across shots.
Kling 3.0 supports workflows such as start/end frame inputs and element referencing (using images or short videos) to maintain a consistent character or product appearance across multiple scenes. Two variants are commonly used: Kling V3 for cinematic, prompt-driven video creation, and Kling O3 for pipelines that prioritize character consistency and voice control.
Key Features
- 1080p cinematic output with realistic camera motion and scene dynamics
- Native audio generation (multilingual) for ambience, SFX, and narration-style soundbeds
- Text-to-video + image-to-video for prompt-first or reference-driven creation
- Multi-shot storyboarding for structured narratives and ad-style sequences
- Element referencing to keep characters/objects consistent across shots
- Strong physics realism: hair, fabric, liquid motion, and natural interactions
Best Use Cases
- Marketing and creative: product trailers, social ads, brand films (16:9 or 9:16)
- Entertainment: cinematic previs, short-form storytelling, anime/game cutscenes
- E-commerce: consistent product shots across multiple scenes
- Education: explainer videos with controlled pacing and clear visuals
- Apps & tools: “prompt to video” editors, storyboard generators, UGC pipelines
Prompt Tips and Output Quality
- Lead with subject + action + setting, then camera language: “dolly in,” “wide shot,” “handheld,” “slow pan.”
- Specify lighting and mood (golden hour, neon noir, soft studio light) to stabilize style.
- Use Negative Prompt to remove artifacts (e.g., “fog, noise, dark lighting”).
- Tune CFG Scale (0–1):
- ~0.7 = stronger prompt adherence and clarity
- ~0.3 = more creative variation
- Choose Aspect Ratio intentionally: 16:9 cinematic, 9:16 shorts, 1:1 square feeds.
- Set Duration (3–15s): shorter for punchy ads, longer for multi-beat storytelling.
- Keep Generate Audio enabled for immersive scenes; disable if you’ll add audio in post.
FAQs
Is Kling 3.0 text-to-video or image-to-video?
Both—use prompts for text-to-video or provide an image/reference for image-to-video.
Does Kling 3.0 generate sound?
Yes. Set generate_audio: true to produce native audio alongside the video.
How do I improve prompt accuracy?
Increase cfg_scale (e.g., ~0.7) and add concrete camera/lighting details.
What parameters should I tweak first?
Start with duration, aspect_ratio, cfg_scale, and negative_prompt for the biggest quality gains.
How is Kling V3 different from Kling O3?
V3 is optimized for cinematic prompt-driven generation; O3 is geared toward workflows needing stronger character consistency and voice control.
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