GET
/v1/schemas/fal/video/fal-ai/ltx-2.3-22b/distilled/text-to-video/lora
Accept:
| field | recorded source |
|---|---|
| schema | Source linked above.Source trace65938668b16f335efe55a40d8260ff05627d21dbd4b3aa24707652a4a37f691e{
"fetchedAt": 1783331098,
"extractorVersion": "1",
"verifiedAt": null
} |
Request body
20 properties · 2 required · 2 $defs| property | type | description | constraints |
|---|---|---|---|
| prompt* | string | The prompt to generate the video from. | |
| loras* | LoRAInput[] | The LoRAs to use for the 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. | default: true |
| generate_audio | boolean | Whether to generate audio for the video. | default: true |
| enable_prompt_expansion | boolean | Whether to enable prompt expansion. | default: true |
| seed | integer | The seed for the random number generator. | nullable |
| negative_prompt | string | The negative prompt to generate the video from. | default: "news broadcast, 3d animation, c… |
| enable_safety_checker | boolean | Whether to enable the safety checker. | default: true |
| video_write_mode | enum | The write mode of the generated video. | fast | balanced | small · default: "balanced" |
| acceleration | enum | The acceleration level to use. | none | regular | high | full · default: "none" |
| video_output_type | enum | The output type of the generated video. | X264 (.mp4) | VP9 (.webm) | PRORES4444 (.mov) | GIF (.gif) · default: "X264 (.mp4)" |
| video_size | ImageSize | enum | The size of the generated video. | default: "landscape_16_9" |
| camera_lora | enum | 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. | dolly_in | dolly_out | dolly_left | dolly_right | jib_up | jib_down · +2 more · default: "none" |
| num_frames | integer | The number of frames to generate. | 9 ≤ n ≤ 481 · default: 121 |
| 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. | 0 ≤ n ≤ 1 · default: 1 |
| video_quality | enum | The quality of the generated video. | low | medium | high | maximum · default: "high" |
| fps | number | The frames per second of the generated video. | 1 ≤ n ≤ 60 · default: 24 |
| distill_lora_second_pass_scale | number | The scale of the distill LoRA to use for the second and subsequent passes. | 0 ≤ n ≤ 1 · default: 0.5 |
| 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. | default: false |
| scheduler | enum | The scheduler to use. | ltx2 | linear_quadratic | beta · default: "ltx2" |
Types
2 $defsImageSizeobject
| height | integer | The height of the generated image. | 0 < n ≤ 14142 · default: 512 |
| width | integer | The width of the generated image. | 0 < n ≤ 14142 · default: 512 |
LoRAInputobject
LoRA weight configuration.
| scale | number | Scale factor for LoRA application (0.0 to 4.0). | 0 ≤ n ≤ 4 · default: 1 |
| path* | string | URL, HuggingFace repo ID (owner/repo) to lora weights. | |
| weight_name | string | Name of the LoRA weight. Only used if `path` is a HuggingFace repository, and is only required when the repository contains multiple LoRA weights. | nullable |
Validate a payload
before you spend tokensshell
$ curl -X POST https://modelschemas.com/v1/validate \
-d '{"provider":"fal","endpointId":"fal-ai/ltx-2.3-22b/distilled/text-to-video/lora","payload":{…}}'
→ {"valid": false, "errors": [{"path": "#", "keyword": "required", …}]}