GET

/v1/schemas/fal/video/fal-ai/cogvideox-5b/image-to-video

kind inputactivity videohash 7f82104a…extracted Oct 24, 2026version currentsource upstream spec ↗
fieldrecorded source
schemaSource linked above.

upstream-spec

Source trace
942a8903fd3eed5b038c060cf73b31d97f17655a9f4c761e27eb780dc84794c2
{
  "fetchedAt": 1792818001,
  "extractorVersion": "1",
  "verifiedAt": null
}

Request body

12 properties · 2 required · 2 $defs
propertytypedescriptionconstraints
image_url*stringThe URL to the image to generate the video from.
prompt*stringThe prompt to generate the video from.
negative_promptstringThe negative prompt to generate video fromdefault: ""
lorasLoraWeight[]The LoRAs to use for the image generation. We currently support one lora.default: []
use_rifebooleanUse RIFE for video interpolationdefault: true
enable_safety_checkerbooleanAuthorized callers may set false to request relaxed screening.default: true
export_fpsintegerThe target FPS of the video4 ≤ n ≤ 32 · default: 16
video_sizeImageSize | enumThe size of the generated video.default: {"width":720,"height":480}
sync_modebooleanIf `True`, the media will be returned as a data URI and the output data won't be available in the request history.default: false
guidance_scalenumberThe CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related video to show you.0 ≤ n ≤ 20 · default: 7
num_inference_stepsintegerThe number of inference steps to perform.1 ≤ n ≤ 50 · default: 50
seedinteger The same seed and the same prompt given to the same version of the model will output the same video every time. nullable

Types

2 $defs

ImageSizeobject

widthintegerThe width of the generated image.0 < n ≤ 14142 · default: 512
heightintegerThe height of the generated image.0 < n ≤ 14142 · default: 512

LoraWeightobject

path*stringURL or the path to the LoRA weights.
scalenumberThe scale of the LoRA weight. This is used to scale the LoRA weight before merging it with the base model.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/cogvideox-5b/image-to-video","payload":{…}}'
→ {"valid": false, "errors": [{"path": "#", "keyword": "required", …}]}