Best Background Removal
Models that specialise in removing or isolating backgrounds with clean edges and minimal artefacts. Useful for product imagery, portraits, compositing, and any workflow where precise cut-out quality matters.
The picks.Clean subject extraction
Ideogram Background Remover
Generative background removal for clean transparent PNG cutouts with strong edge fidelity
BiRefNet General
General-purpose object segmentation model in the BiRefNet family
BiRefNet Portrait
Human portrait segmentation with refined boundary accuracy
BiRefNet Dis
Dichotomous image segmentation using bilateral reference modeling
BiRefNet Massive TR DIS5K TR TES
Large-scale BiRefNet model trained on diverse segmentation datasets
BiRefNet v1 Base
Foundation BiRefNet model for high-accuracy binary image segmentation
BiRefNet v1 Base – COD
Camouflaged object detection with bilateral reference segmentation
BiRefNet General 512×512 FP16
Optimized BiRefNet general segmentation at fixed 512×512 resolution
Common questions
Yes — BiRefNet General, BiRefNet Portrait, BiRefNet HRSOD DHU, RemBG v1.4 and 6 more run on Runware's own optimized compute (the platform's open-weight tier, billed on compute time). Check each model page for license terms before self-hosting.
Ideogram Background Remover, released June 2026 per the live catalog. Membership updates automatically as the catalog publishes new models to this collection.
BiRefNet General, from $0.0006 per 1024x1024. Prices are read live from the catalog and vary with resolution and configuration — expand any row above to see that model's current pricing.
Production notes
Every price on this page is the model's published rate from the live Runware catalog, using the cheapest listed configuration unless stated otherwise. Prices vary with resolution, duration, quality tier, or token volume, so check the pricing table on each model page before estimating unit economics.
The Runware catalog does not publish per-model latency figures, so this page does not quote end-to-end timings. Where a model's own description commits to speed (for example sub-second generation or realtime streaming), that claim is repeated here. For anything else, benchmark the exact models in the Playground with your own payload sizes before committing to an SLA.
Models are addressed by versioned AIR identifiers, so a workflow pinned to specific model versions keeps producing the same behaviour as new versions ship. Adopt upgrades deliberately by re-running your evaluation set against the new version before switching production traffic.
About this collection
Models that specialise in removing or isolating backgrounds with clean edges and minimal artefacts. Useful for product imagery, portraits, compositing, and any workflow where precise cut-out quality matters.
Membership comes directly from the Runware catalog: the 12 models on this page are the live catalog's own membership for the "Best Background Removal" collection. Names, descriptions, pricing, capability chips, samples, and guides are all read live from the catalog — nothing here is hand-curated.