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Generate video with audio from audio, text and images using LTX-2 Distilled
Example
Details
- Accepts
- text + image + video + audio
Pricing
- Price
- 0.100 cr / megapixel
Prices in credits (1 credit = $0.01).
Data schema
Input
| Field | Type | Description |
|---|---|---|
| fps | number | The frames per second of the generated video. |
| seed | — | The seed for the random number generator. |
| promptrequired | string | The prompt used for the generation. |
| image_url | string | The URL of the image to generate the video from. |
| 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 | The number of frames to generate. |
| video_size | — | The size of the generated video. |
| camera_lora | stringenum: dolly_in, dolly_out, dolly_left, dolly_right, jib_up, jib_down… | The camera LoRA to use. This allows you to control the camera movement of the generated video more accurately than just prompting the model to move the camera. |
| acceleration | stringenum: none, regular, high, full | The acceleration level to use. |
| end_image_url | — | The URL of the image to use as the end of the video. |
| video_quality | stringenum: low, medium, high, maximum | The quality of the generated video. |
| generate_audio | boolean | Whether to generate audio for the video. |
| image_strength | number | The strength of the image to use for the video generation. |
| use_multiscale | boolean | Whether to use multi-scale generation. If True, the model will generate the video at a smaller scale first, then use the smaller video to guide the generation of a video at or above your requested size. This results in better coherence and details. |
| negative_prompt | string | The negative prompt to generate the video from. |
| video_write_mode | stringenum: fast, balanced, small | The write mode of the generated video. |
| camera_lora_scale | number | The scale of the camera LoRA to use. This allows you to control the camera movement of the generated video more accurately than just prompting the model to move the camera. |
| video_output_type | stringenum: X264 (.mp4), VP9 (.webm), PRORES4444 (.mov), GIF (.gif) | The output type of the generated video. |
| end_image_strength | number | The strength of the end image to use for the video generation. |
| enable_safety_checker | boolean | Whether to enable the safety checker. |
| enable_prompt_expansion | boolean | Whether to enable prompt expansion. |
| interpolation_direction | stringenum: forward, backward | The direction to interpolate the image sequence in. 'Forward' goes from the start image to the end image, 'Backward' goes from the end image to the start image. |
| audio_url | string | The URL of the audio to generate the video from. |
| audio_strength | number | Audio conditioning strength. Values below 1.0 will allow the model to change the audio, while a value of exactly 1.0 will use the input audio without modification. |
| preprocess_audio | boolean | Whether to preprocess the audio before using it as conditioning. |
| match_audio_length | boolean | When enabled, the number of frames will be calculated based on the audio duration and FPS. When disabled, use the specified num_frames. |
| ic_lora | stringenum: match_preprocessor, canny, depth, pose, detailer, none | The type of IC-LoRA to load. In-Context LoRA weights are used to condition the video based on edge, depth, or pose videos. Only change this from `match_preprocessor` if your videos are already preprocessed (or you are using the detailer.) |
| video_url | string | The URL of the video to generate the video from. |
| preprocessor | stringenum: depth, canny, pose, none | The preprocessor to use for the video. When a preprocessor is used and `ic_lora_type` is set to `match_preprocessor`, the IC-LoRA will be loaded based on the preprocessor type. |
| ic_lora_scale | number | The scale of the IC-LoRA to use. This allows you to control the strength of the IC-LoRA. |
| video_strength | number | Video conditioning strength. Lower values represent more freedom given to the model to change the video content. |
| match_input_fps | boolean | When true, match the output FPS to the input video's FPS instead of using the default target FPS. |
| match_video_length | boolean | When enabled, the number of frames will be calculated based on the video duration and FPS. When disabled, use the specified num_frames. |
Output
| Field | Type | Description |
|---|---|---|
| seed | integer | The seed used for the random number generator. |
| video | — | The generated video. |
| prompt | string | The prompt used for the generation. |