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Generate video from text and videos using NVIDIA's 2B Cosmos Distilled Model
Example
Details
- Accepts
- text
Pricing
- Price
- 10 cr / video
Prices in credits (1 credit = $0.01).
Data schema
Input
| Field | Type | Description |
|---|---|---|
| seed | — | Random seed for reproducible generation. |
| promptrequired | string | The text prompt describing the video to generate. |
| sync_mode | boolean | If `True`, the media will be returned as a data URI and the output data won't be available in the request history. |
| num_frames | integer | Number of frames to generate. Must be between 9 and 93. |
| video_quality | stringenum: low, medium, high, maximum | The quality of the output video. |
| negative_prompt | string | A negative prompt to guide generation away from undesired content. |
| video_output_type | stringenum: X264 (.mp4), VP9 (.webm), PRORES4444 (.mov), GIF (.gif) | The format of the output video. |
| num_inference_steps | integer | Number of denoising steps. Distilled model works well with fewer steps. |
Output
| Field | Type | Description |
|---|---|---|
| seed | integer | The random seed used for generation. |
| video | — | The generated video file. |