GenVRAI
VOID Video Inpainting
Video Utilities Model

VOID Video Inpainting

Remove objects from a video with optional quadmask/binary mask support and pass-2 temporal refinement.

Overview

VOID Video Inpainting is a video utilities model available on the GenVR platform. Remove objects from a video with optional quadmask/binary mask support and pass-2 temporal refinement.

Key Features

  • Background removal and relighting for videos
  • Video‑to‑video style and motion transfer
  • Video restoration for older or compressed clips
  • Enhancement tools for upscaling, captioning, and restoration

Popular Use Cases

  1. Improving legacy or low‑quality footage
  2. Generating talking‑head content from still images
  3. Adding subtitles, translations, and dubbing
  4. Applying effects and transformations to existing clips

Best For

  • Teams that batch‑process video libraries
  • Agencies handling localization and repurposing
  • Content creators optimizing existing footage
  • Editors and post‑production teams

Limitations to Keep in Mind

  • Complex sequences may still need manual QC
  • Some tools require careful parameter tuning per clip
  • Heavily compressed source video may limit quality gains

Why Choose This Model

  • Workflow transparency: Clear monitoring and status for complex video tasks.
  • Integrated captioning: High-accuracy subtitling that follows the audio beat.
  • Post-production automation: Scriptable lip-sync and face-swap capabilities.
  • Production efficiency: Replace manual QC and fixing with automated AI passes.

Alternatives on GenVR

  • Pixverse 5.5 Effects
  • Luma Reframe Video
  • Kling Lip Sync

Pricing

Billed through GenVR credits

Base 5 credits. +5 credits when Pass 2 refinement is enabled. +5 credits when mask_video is provided.

Credits5
Approx. INR₹5.00
Approx. USD$0.0525

Properties

Customizable parameters available for this model.

Required

promptstring

Text description of the desired background after object removal.

videostring

URL of the input video containing the object to remove.

Optional

enable_pass2_refinement
booleanDefault: false

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

guidance_scale
numberDefault: 1

Classifier-free guidance scale.

mask_prompt
string

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.

mask_video
string

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.

negative_prompt
string

Negative prompt to guide generation away from undesired outputs.

Model Info
CategoryVideo Utilities

GenVR Visual App

Experience the power of VOID Video Inpainting through our intuitive visual interface. Experiment with prompts, adjust parameters in real-time, and download your results instantly.

Try in Web App

Developer API Docs

Integrate this model into your own applications. Access enterprise-grade performance, scalable infrastructure, and detailed documentation for rapid deployment.

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