NOVABER / Vision
Local batch background and watermark removal for Windows
Install and launch Cutout & Watermark Removal from Novaber, the local AI workspace for Windows. Batch remove photo backgrounds or clear visible watermarks from images and short clips. Export transparent PNGs, masks, or restored media.
For Windows 10 / 11 x64. Apps require Docker; check each app for GPU and VRAM requirements.
What you can use it for
Batch background removal with BiRefNet, SAM3 text prompts, or SAM2 point selection
GPU-accelerated SLBR removes visible watermarks from images, short clips, and ordered images with automatic detection or manual selection
SAM2 subject tracking in short clips and ordered images, with keyframe corrections and frame-by-frame preview
Compare with the original and export transparent PNGs, masks, restored images, or MP4, depending on the operation
Batch cutouts, watermark removal and subject tracking
Guide to batch cutouts and transparent PNGsImport media
Import an image batch, one MP4, or ordered images. Set the clip range and extraction frame rate for video. Clips and ordered images support up to 300 frames.
Choose an operation
Choose cutout, watermark removal, or both. SLBR runs on the GPU and downloads weights on first use. Combined processing removes watermarks before cutout for image batches, video, and ordered images.
Track and refine
Use SAM2 to mark a subject, refine keyframes, and preview short clips or ordered images. Combined processing removes watermarks first, then tracks the subject in the restored frames to create masks and transparent results.
Compare and export
Compare the original and results, then export a ZIP for the selected operation. Watermark removal on video also includes a restored MP4.
Requirements
Setup guide- Operating system
- Windows 10 / 11 · x64
- Runtime
- Docker Desktop
- Compute
- NVIDIA GPU required
- Video memory
- 8 GB+ VRAM recommended
- Image and model size
- Image downloads ~16 GB
An internet connection is needed to download applications and sign in. Download size and setup time depend on the image and your connection.
Get started with Cutout & Watermark Removal
Installation guideInstall Novaber
Download and install Novaber for Windows, and prepare Docker Desktop.
Check requirements
Choose this application in the catalog and check the GPU, VRAM, and storage requirements listed on this page.
Prepare the app
Select Install locally and wait for the image download and container setup to finish.
Open the workspace
When the application is ready, select Open workspace to start working in its local interface.
Application questions
Which model should I use to remove product photo backgrounds in batches?
Import a batch of product photos. Start with BiRefNet when each image has a clear foreground subject. Use a SAM3 text prompt to name the object you want or SAM2 keep and exclude points for manual selection. Check that the preview keeps the full subject, then export a ZIP with transparent PNGs and masks.
How do I remove watermarks from images or short clips? Can I also cut out the subject?
SLBR can detect visible watermarks automatically or work within a region you select. You can use either operation on its own or combine them. Combined processing removes watermarks first, then cuts out the restored images or tracks subjects with SAM2 in short clips and ordered images. The results include masks and preserve transparency.
How do I track a subject with SAM2 and correct video keyframes?
Import a short MP4 and set the frame extraction range, or import an ordered set of images. In the SAM2 workspace, refine keyframes with keep and exclude points, preview the current frame, and propagate through the sequence. Review frames on the collapsible timeline before exporting.
What hardware and software do I need?
Use Windows 10 or 11 x64, Docker Desktop, and an NVIDIA GPU. At least 8 GB of VRAM is recommended. SLBR watermark removal runs on the GPU and downloads model weights on first use.
Which steps need internet access when processing runs locally?
Cutout & Watermark Removal processes images and video in a local container. Sign-in, task authorization, the initial app image download, and on-demand model downloads require an internet connection.
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Built with
Third-party names and trademarks belong to their owners. The SLBR authors provide public access to the code and weights. The code license and rights to redistribute the weights remain unconfirmed.