playgroundai/MJHQ-30K
MJHQ-30K Benchmark Model Overall FID SDXL-1-0-refiner 9.55 playground-v2-1024px-aesthetic 7.07 We introduce a new benchmark, MJHQ-30K, for automatic evaluation of a model’s aesthetic quality. The benchmark computes FID on a high-quality dataset to gauge aesthetic quality. We curate the high-quality dataset from Midjourney with 10 common categories, each category with 3K samples. Following common practice, we use aesthetic score and CLIP score to ensure high… See the full description on the dataset page: https://huggingface.co/datasets/playgroundai/MJHQ-30K.
| Author / organization | playgroundai |
|---|---|
| Downloads | 1.4K (as reported by Hugging Face) |
| Likes | 66 |
| Created | 3 December 2023 |
| Last updated at source | 28 June 2024 |
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- 17 Oct 2026 Description: MJHQ-30K Benchmark Model Overall FID SDXL-1-0-refiner 9.55 playground-v2-1024px-aesthetic 7.07 We introduce a new benchmark, MJHQ-30K, for automatic evaluation of a model’s aesthetic quality. The benchmark computes FID on a high-quality dat → MJHQ-30K Benchmark Model Overall FID SDXL-1-0-refiner 9.55 playground-v2-1024px-aesthetic 7.07 We introduce a new benchmark, MJHQ-30K, for automatic evaluation of a model’s aesthetic quality. The benchmark computes FID on a high-quality dat
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