OpenRouter Adds Riverflow 2.5 Image Model with Controllable Reasoning and Scoring Rubric

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OpenRouter has integrated Sourceful's Riverflow 2.5 image model, which allows users to define a scoring rubric for guiding image generation and adjust reasoning effort. This provides granular control over output quality and composition, enabling more precise alignment with specific creative or brand requirements.

OpenRouter has integrated Sourceful's Riverflow 2.5, an image model introducing a user-controlled scoring rubric to guide its internal thinking and editing. It also features controllable reasoning effort, letting developers trade speed for quality. Fast and Pro variants are available.
Reasoning effort
Controllable (low/medium/high for Fast, low/medium/high/xhigh for Pro)
Output resolutions
Up to 2K (Fast), Up to 4K (Pro)
Max input images
4 (Fast), 10 (Pro)
Scoring rubric
User-controlled
Background control
Transparent or solid-color outputs

This update provides more explicit control over AI image generation, moving beyond basic prompt engineering. Defining a scoring rubric and adjusting reasoning effort aligns with using "test-time compute" to improve output quality. This offers a sophisticated way to align generation with creative or brand requirements.

Riverflow 2.5 comes in two tiers: Fast for quick iteration, Pro for quality-sensitive work, both free on OpenRouter until June 9, with custom font rendering and background control. Reaching it through OpenRouter's unified API puts it alongside the platform's earlier Recraft V4 integration, no separate setup.

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Live on OpenRouter: Riverflow 2.5 from @riverflow_ai The first image model with an independent scoring rubric you control to guide its thinking and editing, with controllable reasoning effort to trade speed for quality. Free until Tuesday June 9. Fast and Pro below 🧵 https://t.co/ssWhs5DZe9

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