Integra il modello di intelligenza artificiale kling-v3.0-pro-image-to-video tramite MuAPI con latenza minima. Prezzi flessibili con pagamento a consumo, scalabilità immediata e massima affidabilità.
Modello kling-v3.0-pro-image-to-video, disponibile su MuAPI con fatturazione flessibile a consumo e risposta ad altissima velocità.
A proposito di questo modello
Accesso programmatico al modello kling-v3.0-pro-image-to-video su MuAPI. Progettato per ambienti di produzione con integrazione API REST fluida e prestazioni elevate.
Analisi dei costi
| Fornitore | Costo | Note |
|---|---|---|
| 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.
**I prezzi della concorrenza sono stimati in base ad architetture di modelli e livelli di utilizzo simili.
Schema di configurazione
| Parametro | Digitare | Descrizione | Predefinito |
|---|---|---|---|
| tempestivo | 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. |
| URL dell'immagine | string | URL dell'immagine di ingresso video. | https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/kling-v3.0-pro-image-to-video1.jpg |
| Ultima immagine | string | URLimmagineentrata. | https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/kling-v3.0-pro-image-to-video2.jpg |
| Durata (secondi) | int | durata video () . | 5 |
| Genera audio | boolean | videoaudio | 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.URL dell'immagine di ingresso video.
https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/kling-v3.0-pro-image-to-video1.jpgURLimmagineentrata.
https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/kling-v3.0-pro-image-to-video2.jpgdurata video () .
5videoaudio
trueDocumentazione per gli sviluppatori
Invia una richiesta POST all'endpoint del modello includendo la tua chiave API MuAPI nell'intestazione e i parametri richiesti nel corpo JSON.
Chiesto frequentemente