FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/2508.05069/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTFLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer — mentioned by jimdavidhttps://news.ycombinator.com/item?id=46821307urn:hackerpapers:mention:2508.05069:46821307Fri, 30 Jan 2026 06:57:15 GMT<p>We’re sharing an open-source project on makeup transfer built on a Diffusion Transformer (DiT) backbone. The goal is to transfer makeup from a reference face to a source face while preserving identity and background consistency. Unlike many previous approaches, this method does not rely on facial landmarks, 3D face models, or other face-control modules — it uses only a source image and a reference image as input. Paper (arXiv): https://arxiv.org/abs/2508.05069 Weights + comfyUI: https://github.com/360CVGroup/FLUX-Makeup You can also give it a quick try at FLUX-Makeup agent…</p><p><a href="https://hackerpaper.kaipfister.de/p/2508.05069/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.CV