molbal/identity_preservation_image_editing
Identity Preservation Augmentation Dataset for Image Editing Overview This dataset contains algorithmically generated image pairs designed to teach diffusion-based image editing models pixel-level identity preservation — the ability to keep unchanged regions of an image exactly intact while applying targeted edits. Every example consists of a reference image, a target image, and a short natural-language prompt. The transformation between reference and target is… See the full description on the dataset page: https://huggingface.co/datasets/molbal/identity_preservation_image_editing.
| Author / organization | molbal |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 1.3K (as reported by Hugging Face) |
| Likes | 9 |
| Created | 13 July 2026 |
| Last updated at source | 13 July 2026 |
Popularity, last 3 days
1,334 now (-75 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
More from molbal
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.