अति-निम्न विलंबता के साथ MuAPI प्लेटफ़ॉर्म के माध्यम से kling-v3.0-pro-image-to-video AI मॉडल को एकीकृत करें। लचीला पे-एज-यू-गो मूल्य निर्धारण, त्वरित स्केलिंग और अधिकतम अपटाइम।
मॉडल kling-v3.0-pro-image-to-video, लचीली पे-एज-यू-गो बिलिंग और उच्च समवर्तीता के साथ MuAPI पर उपलब्ध है।
इस मॉडल के बारे में
MuAPI प्लेटफ़ॉर्म पर kling-v3.0-pro-image-to-video मॉडल तक प्रोग्रामेटिक पहुंच। निर्बाध REST API एकीकरण और उच्च विश्वसनीयता के साथ उत्पादन वातावरण के लिए डिज़ाइन किया गया।
लागत विश्लेषण
| प्रदाता | लागत | टिप्पणियाँ |
|---|---|---|
| muapiapp | $0.72 per generation | muapiapp is 20-50% more affordable than its competitors, delivering comparable or superior quality at a lower cost. |
| Fal.ai | $0.90 per generation | Compared to Fal.ai, muapiapp offers a 20-50% cost saving while maintaining high-quality output and performance. |
| Replicate | $0.90 per generation | muapiapp is 20-50% cheaper than Replicate, providing an economical solution without compromising on professional-grade results. |
muapiapp is 20-50% more affordable than its competitors, delivering comparable or superior quality at a lower cost.
Compared to Fal.ai, muapiapp offers a 20-50% cost saving while maintaining high-quality output and performance.
muapiapp is 20-50% cheaper than Replicate, providing an economical solution without compromising on professional-grade results.
** प्रतिस्पर्धी मूल्य निर्धारण का अनुमान समान मॉडल आर्किटेक्चर और उपयोग स्तरों के आधार पर लगाया जाता है।
कॉन्फ़िगरेशन स्कीमा
| पैरामीटर | प्रकार | विवरण | डिफ़ॉल्ट |
|---|---|---|---|
| संकेत | string | videoprompt. | The camera begins on the railway station platform beside a stationary train as morning sunlight filters through the roof. Passengers make small natural movements while the train doors are open. The camera moves forward and enters the train, transitioning smoothly into a window-seat point of view. As the doors close, the train starts moving. The view shifts fully to the window, showing the city passing by outside with gentle motion blur, buildings and trees sliding past. Sunlight reflects on the glass, faint interior reflections appear, and the ride feels calm and realistic with smooth, cinematic motion. |
| छवि यूआरएल | string | वीडियोएंट्रीइमेज यूआरएल. | https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/kling-v3.0-pro-image-to-video1.jpg |
| अंतिम छवि | string | EntryimageURL. | https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/kling-v3.0-pro-image-to-video2.jpg |
| अवधि (सेकंड) | int | वीडियो अवधि() . | 5 |
| ऑडियो उत्पन्न करें | boolean | वीडियोऑडियो | true |
videoprompt.
The camera begins on the railway station platform beside a stationary train as morning sunlight filters through the roof. Passengers make small natural movements while the train doors are open. The camera moves forward and enters the train, transitioning smoothly into a window-seat point of view. As the doors close, the train starts moving. The view shifts fully to the window, showing the city passing by outside with gentle motion blur, buildings and trees sliding past. Sunlight reflects on the glass, faint interior reflections appear, and the ride feels calm and realistic with smooth, cinematic motion.वीडियोएंट्रीइमेज यूआरएल.
https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/kling-v3.0-pro-image-to-video1.jpgEntryimageURL.
https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/kling-v3.0-pro-image-to-video2.jpgवीडियो अवधि() .
5वीडियोऑडियो
trueडेवलपर दस्तावेज़ीकरण
हेडर में अपनी MuAPI कुंजी और JSON बॉडी में आवश्यक पैरामीटर के साथ मॉडल एंडपॉइंट पर एक POST अनुरोध भेजें।
अक्सर पूछा जाता है