A reward model that judges text-image alignment, fidelity, and aesthetic quality on a single combined score.
ImageReward bundles three signals (does the image match the prompt, is it visually faithful, and is it aesthetically pleasing) into a single reward score. The model is also widely used to fine-tune diffusion generators via reward-weighted training.
The reward model was trained on hundreds of thousands of human preferences plus structured ratings on alignment, fidelity, and aesthetic. Benchmark score is the mean reward across a standard prompt set.
| # | Model | Lab | Source | Score |
|---|---|---|---|---|
| 01 | Stable Diffusion 3.5 Large | Stability AI | Open | 1.1 |
No models in this category.
Not enough scored models yet.
They correlate strongly. Use ImageReward if you care about a balance of prompt alignment and aesthetics; use HPS v2 if you want the closest single proxy to live human voting. Most benchmark reports use both as a sanity check.
Based on score correlations across our database.
