Best Inpainting

Yes — FLUX.1 Fill [dev] OneReward, FLUX.1 Fill [dev], Object Eraser, FLUX.2 [klein] 9B and 1 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.

GPT-Image-2.5 Sunburst, released September 2026 per the live catalog. Membership updates automatically as the catalog publishes new models to this collection.

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.

Models optimised for filling or replacing selected regions of an image while carefully preserving surrounding context. Useful for object removal, minor repairs, and targeted edits that need to blend naturally.

Membership comes directly from the Runware catalog: the 19 models on this page are the live catalog's own membership for the "Best Inpainting" collection. Names, descriptions, pricing, capability chips, samples, and guides are all read live from the catalog — nothing here is hand-curated.