kling-v3.0-pro-image-to-video API | MuAPI: Image-to-Video
Jelajahi dan integrasikan model AI kling-v3.0-pro-image-to-video melalui MuAPI. Dapatkan inferensi berkecepatan tinggi dan harga kompetitif.
Jelajahi dan integrasikan model AI kling-v3.0-pro-image-to-video melalui MuAPI. Dapatkan inferensi berkecepatan tinggi dan harga kompetitif.
About this model
Model kling-v3.0-pro-image-to-video menyediakan kemampuan generasi AI mutakhir di platform MuAPI.
Cost analysis
| Provider | Cost | Notes |
|---|---|---|
| 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.
** Competitor pricing is estimated based on similar model architectures and usage tiers.
Configuration schema
| Parameter | Type | Description | Default |
|---|---|---|---|
| Prompt Teks | string | 描述Video内容的文本Prompt teks。 | 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. |
| Gambar URL | string | 用于HasilkanVideo的InputGambar URL。 | https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/kling-v3.0-pro-image-to-video1.jpg |
| 最后一帧Gambar | string | Input末帧Gambar的 URL。 | https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/kling-v3.0-pro-image-to-video2.jpg |
| Durasi (Detik) | int | HasilkanVideo的Durasi（秒）。 | 5 |
| 生成Audio / Suara | boolean | 是否为VideoHasilkanAudio | true |
描述Video内容的文本Prompt teks。
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.用于HasilkanVideo的InputGambar URL。
https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/kling-v3.0-pro-image-to-video1.jpgInput末帧Gambar的 URL。
https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/kling-v3.0-pro-image-to-video2.jpgHasilkanVideo的Durasi（秒）。
5是否为VideoHasilkanAudio
trueDeveloper documentation
Panduan integrasi cepat untuk kling-v3.0-pro-image-to-video. Hubungkan dengan kunci API MuAPI Anda dan mulai lakukan panggilan inferensi.
Frequently asked
高分辨率、主体清晰且光照良好的图像效果最佳。具有明确元素和清晰结构细节的图像，有助于 AI 创建更准确、更具吸引力的动画。
你可以使用 ‘duration’ 参数将视频时长设置在 3 到 15 秒之间。此外，‘generate_audio’ 布尔参数允许你选择生成的视频是否包含音轨。
会。该模型旨在保留原始图像的结构和光照，同时加入流畅的镜头运动与逼真的转场，从而确保一致性和高质量结果。
可以。你可以提供 ‘last_image’ 作为转场或结束帧，从而增强生成视频的叙事连贯性。