GET

/v1/schemas/fal/video/fal-ai/ltx-2-19b/distilled/text-to-video/lora

Accept:

kind inputactivity videohash ce70b5f6…extracted Jul 6, 2026version currentsource upstream spec ↗

field	recorded source
schema	Source linked above. Source trace `1748d618d680c8b5681a894c9ad0f9ad817795ea17a0b19b5398c6f161c26d30` { "fetchedAt": 1783331098, "extractorVersion": "1", "verifiedAt": null }

Request body

18 properties · 2 required · 2 $defs

property	type	description	constraints
loras*	LoRAInput[]	The LoRAs to use for the generation.
prompt*	string	The prompt to generate the video from.
enable_prompt_expansion	boolean	Whether to enable prompt expansion.	default: true
enable_safety_checker	boolean	Whether to enable the safety checker.	default: true
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_size	ImageSize \| enum	The size of the generated video.	default: "landscape_4_3"
video_output_type	enum	The output type of the generated video.	X264 (.mp4) \| VP9 (.webm) \| PRORES4444 (.mov) \| GIF (.gif) · default: "X264 (.mp4)"
video_quality	enum	The quality of the generated video.	low \| medium \| high \| maximum · default: "high"
acceleration	enum	The acceleration level to use.	none \| regular \| high \| full · default: "none"
generate_audio	boolean	Whether to generate audio for the video.	default: true
seed	integer	The seed for the random number generator.	nullable
fps	number	The frames per second of the generated video.	1 ≤ n ≤ 60 · default: 25
negative_prompt	string	The negative prompt to generate the video from.	default: "blurry, out of focus, overexpos…
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"
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
video_write_mode	enum	The write mode of the generated video.	fast \| balanced \| small · default: "balanced"
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
num_frames	integer	The number of frames to generate.	9 ≤ n ≤ 481 · default: 121

Types

2 $defs

ImageSizeobject

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.

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
scale	number	Scale factor for LoRA application (0.0 to 4.0).	0 ≤ n ≤ 4 · default: 1

Validate a payload

before you spend tokens

shell

$ curl -X POST https://modelschemas.com/v1/validate \
    -d '{"provider":"fal","endpointId":"fal-ai/ltx-2-19b/distilled/text-to-video/lora","payload":{…}}'
→ {"valid": false, "errors": [{"path": "#", "keyword": "required", …}]}