GET

/v1/schemas/fal/video/fal-ai/ltx-video-13b-distilled/extend

Accept:

kind inputactivity videohash b6d24bf2…extracted Oct 29, 2026version currentsource upstream spec ↗

field	recorded source
schema	Source linked above. upstream-spec Source trace `773cba009c24e32d5c3e511e6a5002248e599ea3612906e0981429a35ce6dd44` { "fetchedAt": 1793250001, "extractorVersion": "1", "verifiedAt": null }

Request body

19 properties · 2 required · 2 $defs

property	type	description	constraints
video*	ExtendVideoConditioningInput	Video to be extended.
prompt*	string	Text prompt to guide generation
frame_rate	integer	The frame rate of the video.	1 ≤ n ≤ 60 · default: 24
seed	integer	Random seed for generation	nullable
resolution	enum	Resolution of the generated video.	480p \| 720p · default: "720p"
second_pass_num_inference_steps	integer	Number of inference steps during the second pass.	2 ≤ n ≤ 12 · default: 8
enable_detail_pass	boolean	Whether to use a detail pass. If True, the model will perform a second pass to refine the video and enhance details. This incurs a 2.0x cost multiplier on the base price.	default: false
enable_safety_checker	boolean	Whether to enable the safety checker. Disabling it requires account authorization; unauthorized requests are always checked.	default: true
enable_prompt_expansion	boolean	Whether to expand the prompt using a language model.	default: false
loras	LoRAWeight[]	LoRA weights to use for generation	default: []
constant_rate_factor	integer	The constant rate factor (CRF) to compress input media with. Compressed input media more closely matches the model's training data, which can improve motion quality.	0 ≤ n ≤ 51 · default: 29
negative_prompt	string	Negative prompt for generation	default: "worst quality, inconsistent mot…
second_pass_skip_initial_steps	integer	The number of inference steps to skip in the initial steps of the second pass. By skipping some steps at the beginning, the second pass can focus on smaller details instead of larger changes.	1 ≤ n ≤ 11 · default: 5
temporal_adain_factor	number	The factor for adaptive instance normalization (AdaIN) applied to generated video chunks after the first. This can help deal with a gradual increase in saturation/contrast in the generated video by normalizing the color distribution across the video. A high va…	0 ≤ n ≤ 1 · default: 0.5
reverse_video	boolean	Whether to reverse the video.	default: false
aspect_ratio	enum	The aspect ratio of the video.	9:16 \| 1:1 \| 16:9 \| auto · default: "auto"
tone_map_compression_ratio	number	The compression ratio for tone mapping. This is used to compress the dynamic range of the video to improve visual quality. A value of 0.0 means no compression, while a value of 1.0 means maximum compression.	0 ≤ n ≤ 1 · default: 0
num_frames	integer	The number of frames in the video.	9 ≤ n ≤ 1441 · default: 121
first_pass_num_inference_steps	integer	Number of inference steps during the first pass.	2 ≤ n ≤ 12 · default: 8

Types

2 $defs

ExtendVideoConditioningInputobject

resample_fps	boolean	Whether to resample the video to a specific FPS. If True, the `target_fps` parameter will be used to resample the video.	default: false
strength	number	Strength of the conditioning. 0.0 means no conditioning, 1.0 means full conditioning.	0 ≤ n ≤ 1 · default: 1
reverse_video	boolean	Whether to reverse the video. This is useful for tasks where the video conditioning should be applied in reverse order.	default: false
max_num_frames	integer	Maximum number of frames to use from the video. If None, all frames will be used.	1 ≤ n ≤ 1441 · default: 1441
start_frame_num	integer	Frame number of the video from which the conditioning starts. Must be a multiple of 8.	0 ≤ n ≤ 1440 · default: 0
limit_num_frames	boolean	Whether to limit the number of frames used from the video. If True, the `max_num_frames` parameter will be used to limit the number of frames.	default: false
target_fps	integer	Target FPS to resample the video to. Only relevant if `resample_fps` is True.	1 ≤ n ≤ 60 · default: 24
video_url*	string	URL of video to use as conditioning

LoRAWeightobject

scale	number	Scale of the LoRA weight. This is a multiplier applied to the LoRA weight when loading it.	0 ≤ n ≤ 4 · default: 1
path*	string	URL or path to the 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 tokens

shell

$ curl -X POST https://modelschemas.com/v1/validate \
    -d '{"provider":"fal","endpointId":"fal-ai/ltx-video-13b-distilled/extend","payload":{…}}'
→ {"valid": false, "errors": [{"path": "#", "keyword": "required", …}]}