Video Editing Models - Parameters Reference

Runway

Runway Gen4 Aleph

Model ID: model_runway-gen4-aleph

InputLabelTypeDefaultAllowed ValuesNotes
promptPromptstringrequired
videoVideoassetIdrequired (<16MB, uses first 5s)
aspectRatioAspect Ratiostring16:99:16, 3:4, 1:1, 4:3, 16:9, 21:9
referenceImagesReference ImagesassetId_arrayup to 3
seedSeednumberreproducibility

Pixverse

Pixverse Swap

Model ID: model_pixverse-swap

InputLabelTypeDefaultMinMaxAllowed ValuesNotes
videoVideoassetIdRequired. Video to swap person, objects, or background from
imageImageassetIdRequired. Image to swap the subject/background to
modeModestringperson, backgroundSelects the swap mode
resolutionResolutionstring720p720p, 540p, 360pOutput video resolution
originalSoundSwitchOriginal SoundbooleantrueIncludes original sound from input video

LTX

LTX-2 19b Video to Video

Model ID: model_ltx-2-19b-video-to-video

InputLabelTypeDefaultMinMaxAllowed ValuesNotes
promptPromptstringNoneNone5000NoneRequired. Text prompt for video generation.
videoInput VideofileNoneNoneNoneNoneRequired. Reference video. The model generates output conditioned on this video's structure.
videoStrengthVideo Strengthnumber101NoneReference video conditioning strength (0-1). Higher = more faithful to input video structure.
imageFirst Frame ImagefileNoneNoneNoneNoneOptional first-frame image. Applied at frame 0 for additional conditioning.
imageStrengthImage Strengthnumber101NoneFirst-frame image conditioning strength (0-1).
negativePromptNegative PromptstringNoneNone5000NoneNegative prompt to guide what to avoid in generation.
resolutionResolutionstringautoNoneNoneauto, 720p, 1080p, 1440p, 2160pVideo resolution. 'Match Input' replicates input video dimensions (recommended).
widthWidthnumberNone644096NoneExplicit video width in pixels. Must be used with height. Rounded to multiple of 64.
heightHeightnumberNone644096NoneExplicit video height in pixels. Must be used with width. Rounded to multiple of 64.
cameraMotionTypestringnoneNoneNonenone, static, dolly_in, dolly_out, dolly_left, dolly_right, jib_up, jib_downCamera movement type in the generated video.
cameraMotionStrengthStrengthnumber102NoneStrength of camera motion (0-2). Higher values = stronger effect.
durationDurationnumberNone320NoneOutput video duration in seconds (3-20). Leave empty to match input video.
aspectRatioAspect RatiostringautoNoneNoneauto, 21:9, 16:9, 4:3, 1:1, 3:4, 9:16Video aspect ratio. 'Match Input' detects from input video (recommended).
fpsFrame RatenumberNone160NoneOutput frame rate (1-60 fps). Leave empty to match input video.
audioSourceAudio SourcestringoriginalNoneNoneoriginal, generate, noneAudio for output: copy from input, generate new, or none.
modalityModality TypestringnoneNoneNonenone, canny, depth, pose, detailerIC-LoRA control: canny (edges), depth, pose (skeleton), detailer, or none.
modalityStrengthModality Strengthnumber102NoneStrength of IC-LoRA modality (0-2). Higher values = stronger control.
conditioningVideoConditioning VideofileNoneNoneNoneNonePre-processed conditioning video (canny/depth/pose). Use with matching modality.
numInferenceStepsStepsnumber401100NoneNumber of inference steps. Higher = better quality, slower.
guidanceScaleGuidancenumber3120NoneClassifier-free guidance scale. Higher = stronger prompt adherence.
enhancePromptEnhance PromptbooleanfalseNoneNoneNoneUse Gemma to enhance the prompt for better video generation.
seedSeednumberNone0NoneNoneRandom seed for reproducibility. Leave blank for random.


Luma

Luma Modify Video

Model ID: model_luma-modify-video

InputLabelTypeDefaultAllowed ValuesNotes
videoVideoassetIdrequired (<100MB, <30s)
firstFrameFirst FrameassetIdoptional reference frame
promptPromptstringguides modification
modeModestringadhere_1adhere_1, adhere_2, adhere_3, flex_1, flex_2, flex_3, reimagine_1, reimagine_2, reimagine_3controls degree of change

Luma Video Reframe

Model ID: model_luma-reframe-video

InputLabelTypeDefaultMinMaxAllowed ValuesNotes
videoVideoassetIdNoneNoneNoneNoneRequired. Video to reframe. Maximum duration is 10 seconds
aspectRatioOutput Aspect Ratiostring16:9NoneNone9:21, 9:16, 3:4, 1:1, 4:3, 16:9, 21:9Aspect ratio of the output video
promptPromptstringNoneNone2048NoneOptional prompt to guide the reframing generation

Wan

Wan 2.2 Animate Replace

Model ID: model_wan-2-2-14b-animate-replace

InputLabelTypeDefaultMinMaxAllowed ValuesNotes
videoUrlVideoassetIdRequired input video
imageUrlImageassetIdRequired input image. If aspect ratio mismatches, it is resized and center cropped
resolutionResolutionstring720p720p, 580p, 480pOutput resolution
numInferenceStepsStepsnumber30240Number of inference steps
guidanceScaleGuidancenumber5110Guidance scale for generation
videoQualityVideo Qualitystringhighmaximum, high, medium, lowOutput video quality
videoWriteModeVideo Write Modestring balancedbalanced, fast, smallVideo writing mode
seedSeednumberOptional random seed for reproducibility

Wan 2.2 Animate Move

Model ID: model_wan-2-2-14b-animate-move

InputLabelTypeDefaultMinMaxAllowed ValuesNotes
videoUrlVideoassetIdRequired input video
imageUrlImageassetIdRequired input image. If aspect ratio mismatches, it is resized and center cropped
resolutionResolutionstring720p720p, 580p, 480pOutput resolution
numInferenceStepsStepsnumber30240Number of inference steps
guidanceScaleGuidancenumber5110Guidance scale for generation
videoQualityVideo Qualitystringhighmaximum, high, medium, lowOutput video quality
videoWriteModeVideo Write Modestringbalancedbalanced, fast, smallVideo writing mode
seedSeednumberOptional random seed for reproducibility

Video Foreground Extractor

BiRefNet v2

Model ID: model_birefnet-v2-video

Parameter

Type

Default

Description

video

assetId

``

Source video for foreground extraction.

model

string

General Use (Light)

Model to use for background removal. The 'General Use (Light)' model is the original model used in the BiRefNet repository. The 'General Use (Light)' model is the original model used in the BiRefNet repository but trained with 2K images. The 'General Use (Heavy)' model is a slower but more accurate model. The 'Matting' model is a model trained specifically for matting images. The 'Portrait' model is a model trained specifically for portrait images. The 'General Use (Light)' model is recommended for most use cases. "allowedValues": ["General Use (Light)", "General Use (Light 2K)", "General Use (Heavy)", "Matting", "Portrait"]

operatingResolution

string

1024x1024

The resolution to operate on. The higher the resolution, the more accurate the output will be for high res input images.
"allowedValues": ["1024x1024", "2048x2048"]

outputMask

boolean

Whether to output the mask used to remove the background

refineForeground

boolean

Refine the foreground for better results

videoQuality

string

high

Video output quality. "allowedValues": ["low", "medium", "high", "maximum"]

videoWriteMode

string

balanced

Video write mode for encoding. "allowedValues": ["fast", "balanced", "small"]


Decart

Lucy Edit Pro

Model ID: model_lucy-edit-pro

InputLabelTypeDefaultAllowed ValuesNotes
promptPromptstringText description of the desired video content - required
videoUrlVideoassetIdInput video to edit
resolutionResolutionstring-480p, 720p
enhancePromptEnhance Promptbooleantruetrue, falseWhether to enhance the prompt for better results

Lucy Edit Dev

Model ID: model_lucy-edit-dev

InputLabelTypeDefaultAllowed ValuesNotes
promptPromptstringText description of the desired video content - required
videoUrlVideoassetIdInput video to edit
enhancePromptEnhance Promptbooleantruetrue, falseWhether to enhance the prompt for better results