Integrieren Sie das kling-v3.0-pro-image-to-video KI-Modell über die extrem latenzarme MuAPI-Plattform. Flexible nutzungsbasierte Abrechnung, sofortige Skalierung und maximale Verfügbarkeit.
Das Modell kling-v3.0-pro-image-to-video, verfügbar auf MuAPI mit flexibler nutzungsbasierter Abrechnung und hoher Parallelität.
Über dieses Modell
Programmatischer Zugriff auf das Modell kling-v3.0-pro-image-to-video auf der MuAPI-Plattform. Entwickelt für den Produktiveinsatz mit nahtloser REST-API-Integration und hoher Zuverlässigkeit.
Kostenanalyse
| Anbieter | Kosten | Notizen |
|---|---|---|
| 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.
** Die Preise der Mitbewerber werden auf der Grundlage ähnlicher Modellarchitekturen und Nutzungsstufen geschätzt.
Konfigurationsschema
| Parameter | Typ | Beschreibung | Standard |
|---|---|---|---|
| Aufforderung | string | Videoaufforderung. | 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 | Videoeintragbild-URL. | https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/kling-v3.0-pro-image-to-video1.jpg |
| Letztes Bild | string | EintragBildURL. | https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/kling-v3.0-pro-image-to-video2.jpg |
| Dauer (Sekunden) | int | Videodauer () . | 5 |
| Audio generieren | boolean | Video-Audio | true |
Videoaufforderung.
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.Videoeintragbild-URL.
https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/kling-v3.0-pro-image-to-video1.jpgEintragBildURL.
https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/kling-v3.0-pro-image-to-video2.jpgVideodauer () .
5Video-Audio
trueEntwicklerdokumentation
Senden Sie eine POST-Anfrage an den Modell-Endpunkt mit Ihrem MuAPI-Schlüssel im Header und den erforderlichen Parametern im JSON-Body.
Häufig gefragt