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Void Video Inpainting

All video to video models
Video to Video

VOID removes objects from videos along with all interactions they induce on the scene

Inference$ Commercial useFrom 2 credits per run

About Void Video Inpainting

VOID removes objects from videos along with all interactions they induce on the scene

utilityediting

Pricing

A run with the default settings costs 2 credits. The exact cost updates in the playground as you change settings, and you're only charged when you press Run. Failed runs are refunded automatically.

Inputs

video_urlfilerequired

URL of the input video containing the object to remove.

quad_mask_video_urlfiledefault: ""

URL of a mask video for the removal target. For best results this should be a VOID-style quadmask video with 4 grayscale values: 0=object to remove, 63=overlap, 127=affected region, 255=background to keep. A simple binary mask (0=remove, 255=keep) also works. If omitted, the app will generate a temporary mask video from `mask_prompt` using the SAM-3 video endpoint and convert it to a quadmask automatically.

mask_prompttextarea

Text description of what should be masked in the input video, such as the object or person to remove. Used to generate a temporary mask video with SAM-3 when `quad_mask_video_url` is not provided.

prompttextarearequired

Text description of the desired background after object removal.

enable_pass2_refinementbooleandefault: false

Run VOID Pass 2 warped-noise refinement after Pass 1. This is slower but can improve temporal consistency on longer clips.

negative_prompttextareadefault: "The video is not of a high quality, it has a low resolution. Watermark present in each frame. The background is solid. Strange body and strange trajectory. Distortion."

Negative prompt to guide generation away from undesired outputs.

num_inference_stepsintegerdefault: 30

Number of denoising steps. Higher values improve quality but increase latency.

guidance_scalenumberdefault: 1

Classifier-free guidance scale.

strengthnumberdefault: 1

Denoising strength. 1.0 means full denoising.

seedinteger

Random seed for reproducibility.

num_framesintegerdefault: 85

Temporal window size for inference. The backend snaps this to the nearest CogVideoX-safe value that works with temporal compression and patching. Valid outputs are 69, 77, 85, ..., 197.

enable_safety_checkerbooleandefault: true

Enable content safety checking on the output.

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