kling-v3.0-pro-image-to-video API — MuAPI: Image-to-Video
Integrera AI-modellen kling-v3.0-pro-image-to-video via ett högpresterande API med låg latens och ren förbrukningsbaserad prissättning.
Integrera AI-modellen kling-v3.0-pro-image-to-video via ett högpresterande API med låg latens och ren förbrukningsbaserad prissättning.
About this model
Få tillgång till kling-v3.0-pro-image-to-video programmatiskt på MuAPI med omedelbar skalbarhet, automatisk redundans och minimal latens.
Cost analysis
| Provider | Cost | Notes |
|---|---|---|
| muapiapp | $0.72 每次生成 | muapiapp is 20-50% 更实惠 than its competitors, delivering comparable or superior 质量 at a lower cost. |
| Fal.ai | $0.90 每次生成 | Compared to Fal.ai, muapiapp offers a 20-50% cost saving while maintaining high-质量 output and 性能. |
| Replicate | $0.90 每次生成 | muapiapp is 20-50% 更便宜 than Replicate, providing an economical solution without compromising on professional-grade results. |
muapiapp is 20-50% 更实惠 than its competitors, delivering comparable or superior 质量 at a lower cost.
Compared to Fal.ai, muapiapp offers a 20-50% cost saving while maintaining high-质量 output and 性能.
muapiapp is 20-50% 更便宜 than Replicate, providing an economical solution without compromising on professional-grade results.
** Competitor pricing is estimated based on similar model architectures and usage tiers.
Configuration schema
| Parameter | Type | Description | Default |
|---|---|---|---|
| Prompt (Instruktion) | string | Text prompt describing the video. | 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. |
| Bild-URL | string | URL of the input image used to generate video. | https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/kling-v3.0-pro-image-to-video1.jpg |
| Last Image | string | URL of the input last image. | https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/kling-v3.0-pro-image-to-video2.jpg |
| Längd | int | The duration of the generated video in seconds | 5 |
| Generate Audio | boolean | Whether to generate audio for the video | true |
Text prompt describing the video.
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.URL of the input image used to generate video.
https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/kling-v3.0-pro-image-to-video1.jpgURL of the input last image.
https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/kling-v3.0-pro-image-to-video2.jpgThe duration of the generated video in seconds
5Whether to generate audio for the video
trueDeveloper documentation
Skicka en autentiserad POST-förfrågan till slutpunkten med dina valda parametrar och din MuAPI-nyckel.
Frequently asked