
ProPainter
Fill missing regions in video with ProPainter, a research project on video inpainting and propagation methods.

About ProPainter
ProPainter is a research project for video inpainting that fills missing regions in video. It supports object removal and video completion using an input video and frame-wise masks, with examples included in the inputs folder. An interactive demo lets users select objects to remove, and online demos are available through Hugging Face and OpenXLab.
Use requires setting up a Python environment with CUDA, PyTorch and other dependencies, plus pretrained models placed in the weights folder. Video inpainting typically needs significant GPU memory, and the project provides settings such as resolution adjustment, fp16 precision and sub-video splitting to reduce usage.
Key features
- Fill missing regions in videos from frame-wise masks
- Remove objects from video using example inputs
- Complete videos with square or custom masks
- Select objects to remove in interactive demo
- Adjust processing resolution with width and height settings
- Lower memory use with fp16 and sub-video options
- Pretrained models download automatically during first inference
- Online demos available through Hugging Face and OpenXLab
- Memory-efficient inference options to avoid out-of-memory errors
- Requires Python, CUDA, PyTorch and other package setup
- Video inpainting typically requires significant GPU memory
- Users must prepare frame-wise masks for their own videos
ProPainter at a glance
- Website
- github.com/sczhou/ProPainter
- Category
- Design & Creative › Video Editing & Animation
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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ProPainter FAQ
What do I need to process my own video?
How can I reduce GPU memory usage?
Can I try object removal without installing the code?
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