GET

/v1/schemas/fal/video/fal-ai/wan/v2.2-a14b/image-to-video

kind inputactivity videohash d0cc52a2…extracted Aug 10, 2026version currentsource upstream spec ↗
fieldrecorded source
schemaSource linked above.
Source trace
a4ee7cebc84b53012b94103426b174466ed476637fd45b18087f06387490a4a9
{
  "fetchedAt": 1786338105,
  "extractorVersion": "1",
  "verifiedAt": null
}

Request body

22 properties · 2 required · 0 $defs
propertytypedescriptionconstraints
image_url*stringURL of the input image. If the input image does not match the chosen aspect ratio, it is resized and center cropped.
prompt*stringThe text prompt to guide video generation.
enable_prompt_expansionbooleanWhether to enable prompt expansion. This will use a large language model to expand the prompt with additional details while maintaining the original meaning.default: false
num_interpolated_framesintegerNumber of frames to interpolate between each pair of generated frames. Must be between 0 and 4.0 ≤ n ≤ 4 · default: 1
enable_safety_checkerbooleanIf set to true, input data will be checked for safety before processing. Disabling it requires account authorization; unauthorized requests are always checked.default: false
adjust_fps_for_interpolationbooleanIf true, the number of frames per second will be multiplied by the number of interpolated frames plus one. For example, if the generated frames per second is 16 and the number of interpolated frames is 1, the final frames per second will be 32. If false, the p…default: true
negative_promptstringNegative prompt for video generation.default: ""
accelerationenumAcceleration level to use. The more acceleration, the faster the generation, but with lower quality. The recommended value is 'regular'.none | regular · default: "regular"
aspect_ratioenumAspect ratio of the generated video. If 'auto', the aspect ratio will be determined automatically based on the input image.auto | 16:9 | 9:16 | 1:1 · default: "auto"
shiftnumberShift value for the video. Must be between 1.0 and 10.0.1 ≤ n ≤ 10 · default: 5
interpolator_modelenumThe model to use for frame interpolation. If None, no interpolation is applied.none | film | rife · default: "film"
num_framesintegerNumber of frames to generate. Must be between 17 to 161 (inclusive).17 ≤ n ≤ 161 · default: 81
enable_output_safety_checkerbooleanIf set to true, output video will be checked for safety after generation.default: false
num_inference_stepsintegerNumber of inference steps for sampling. Higher values give better quality but take longer.2 ≤ n ≤ 40 · default: 27
resolutionenumResolution of the generated video (480p, 580p, or 720p).480p | 580p | 720p · default: "720p"
seedintegerRandom seed for reproducibility. If None, a random seed is chosen.nullable
frames_per_secondintegerFrames per second of the generated video. Must be between 4 to 60. When using interpolation and `adjust_fps_for_interpolation` is set to true (default true,) the final FPS will be multiplied by the number of interpolated frames plus one. For example, if the generated frames per second is 16 and the number of interpolated frames is 1, the final frames per second will be 32. If `adjust_fps_for_interpolation` is set to false, this value will be used as-is.4 ≤ n ≤ 60 · nullable
guidance_scale_2numberGuidance scale for the second stage of the model. This is used to control the adherence to the prompt in the second stage of the model.1 ≤ n ≤ 10 · default: 3.5
video_qualityenumThe quality of the output video. Higher quality means better visual quality but larger file size.low | medium | high | maximum · default: "high"
end_image_urlstringURL of the end image.nullable
video_write_modeenumThe write mode of the output video. Faster write mode means faster results but larger file size, balanced write mode is a good compromise between speed and quality, and small write mode is the slowest but produces the smallest file size.fast | balanced | small · default: "balanced"
guidance_scalenumberClassifier-free guidance scale. Higher values give better adherence to the prompt but may decrease quality.1 ≤ n ≤ 10 · default: 3.5

Validate a payload

before you spend tokens
shell
$ curl -X POST https://modelschemas.com/v1/validate \
    -d '{"provider":"fal","endpointId":"fal-ai/wan/v2.2-a14b/image-to-video","payload":{…}}'
→ {"valid": false, "errors": [{"path": "#", "keyword": "required", …}]}