Models/Collections/Best Preprocessing
Capability · Vision12 ModelsUpdated May 2025

Best Preprocessing

Models and preprocessing abstractions that transform an input image into an intermediate guidance artifact for downstream workflows. Useful for ControlNet conditioning, structure-preserving edits, pose transfer, segmentation-guided generation, and other source-informed image pipelines.

The picks.Conditioning maps for guided generation

IMG → IMGPREPROCESS

ControlNet Preprocess Tile

Tile-based preprocessor for detail reconstruction, enhancement, and local consistency

$0.0006/tile-preprocessing
Run
IMG → IMGPREPROCESS

Common questions

Yes — ControlNet Preprocess Tile, ControlNet Preprocess Shuffle, ControlNet Preprocess NormalBae, ControlNet Preprocess Seg and 8 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.

ControlNet Preprocess Tile, released May 2025 per the live catalog. Membership updates automatically as the catalog publishes new models to this collection.

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 and preprocessing abstractions that transform an input image into an intermediate guidance artifact for downstream workflows. Useful for ControlNet conditioning, structure-preserving edits, pose transfer, segmentation-guided generation, and other source-informed image pipelines.

Membership comes directly from the Runware catalog: the 12 models on this page are the live catalog's own membership for the "Best Preprocessing" collection. Names, descriptions, pricing, capability chips, samples, and guides are all read live from the catalog — nothing here is hand-curated.