Integra el modelo de IA kling-v3.0-pro-image-to-video a través de la API de baja latencia de MuAPI. Facturación flexible por uso, escalabilidad instantánea y alta disponibilidad.
Modelo kling-v3.0-pro-image-to-video disponible en MuAPI con facturación por uso y alta concurrencia.
Acerca de este modelo
Acceso programático al modelo kling-v3.0-pro-image-to-video en la plataforma MuAPI. Diseñado para producción con integración de API REST fluida y alta confiabilidad.
Análisis de costes
| Proveedor | Coste | Notas |
|---|---|---|
| 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.
** Los precios de competidores son estimaciones basadas en arquitecturas de modelos y niveles de uso similares.
Esquema de configuración
| Parámetro | Tipo | Descripción | Por defecto |
|---|---|---|---|
| Prompt | string | vídeoprompt. | 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 de imagen | string | vídeoentradaimagen URL. | https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/kling-v3.0-pro-image-to-video1.jpg |
| Última imagen | string | entradaimagen URL. | https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/kling-v3.0-pro-image-to-video2.jpg |
| Duración (segundos) | int | vídeoduración () . | 5 |
| Generar audio | boolean | vídeoaudio | true |
vídeoprompt.
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.vídeoentradaimagen URL.
https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/kling-v3.0-pro-image-to-video1.jpgentradaimagen URL.
https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/kling-v3.0-pro-image-to-video2.jpgvídeoduración () .
5vídeoaudio
trueDocumentación para desarrolladores
Envía una solicitud POST al endpoint del modelo incluyendo tu clave de acceso de MuAPI en los encabezados y los parámetros requeridos en el cuerpo JSON.
Preguntas frecuentes