InSPyReNet / transparent-background
A salient object detection model and the ready-made transparent-background tool built on it: removes backgrounds from photos, video and webcam with one command.
The last open version came out in Sep 2023. The family has not been updated for a long time: the model still works, but do not expect fixes or new sizes.
- Developer
- Taehoon Kim (POSTECH), South Korea
- First release
- Oct 2022
- Latest release
- Sep 2023
- Sizes
- small (based on Swin-B)
- License
- Commercial use allowedMIT
- Running
- On your own serverAlso runs without a GPU
- Industries
- Retail and marketplaces, Media and production
What it does
- Batch background removal from photos
- Replacing the background with a color or blur
- Background removal in video
Where it is used
Hardware requirements
Versions
- base-nightly
- transparent-background 1.0
- InSPyReNet (DIS5K)
How to run it
I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.
Frequently asked questions
Can InSPyReNet / transparent-background be used in a commercial project?
Yes. License: MIT. It allows commercial use, but it is still worth having a lawyer review the license before launch.
What hardware does InSPyReNet / transparent-background need?
At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.
Does InSPyReNet / transparent-background support Russian?
Language does not matter for this model: it does not work with text.
Where can I download InSPyReNet / transparent-background and what does it cost?
The InSPyReNet / transparent-background weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.
How I deploy it for clients
- SelectionI pick the model size for your task and hardware and test it on your examples.
- DeploymentI deploy it on your server or in a closed network and provide an API.
- Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
- IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.
Similar models
An open MIT-licensed model for precise object segmentation and background removal. RMBG-2.0 is built on it. Versions for 2K and for hair and semi-transparent edges.
DetailsPhoto editingBRIA RMBGBRIA AI · IsraelNon-commercial onlyBRIA's background removal, trained on licensed photos. Soft edges, hair, transparency. Video versions available. Business use requires a paid agreement.
DetailsPhoto editingBEN2Prama LLC · USACommercial use allowedA background removal model focused on difficult edges: hair, fur, fine details. The open version is MIT-licensed and can process video.
DetailsSource: github.com/plemeri/transparent-background. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


