SkyReels-Text: Fine-Grained Font-Controllable Text Editing for Poster Design
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Abstract (arXiv)
Artistic design, particularly poster design, often demands rapid yet precise modification of textual content while preserving visual harmony and typographic intent, especially across diverse font styles. Although modern image editing models have grown increasingly powerful, they still fall short in fine-grained, font-aware text manipulation, limiting their utility in professional workflows. To address this issue, we present SkyReels-Text, a novel font-controllable framework for precise poster text editing. Our method enables simultaneous editing of multiple text regions, each rendered in distinct typographic styles, while preserving the visual appearance of non-edited regions. Notably, our model requires neither font labels nor test-time fine-tuning: users can simply provide cropped glyph patches corresponding to their desired typography - even if the font is not included in any standard library. Extensive experiments on multiple benchmarks demonstrate that SkyReels-Text achieves state-of-the-art performance in both text fidelity and visual realism, offering unprecedented control over font families and stylistic nuances. This work bridges the gap between general-purpose image editing and professional-grade typographic design. Code and models are publicly available at https://github.com/SkyworkAI/SkyReels-Text.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 40 of its 51 references that are in the map. First posted on arXiv 17 Nov 2025.
Builds on
40 of 51 references.
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28 more
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Citing papers per year: 2026: 1.
1 paper.
- 2026Towards Training-Free Scene Text Editingcited by 0
- 2026Towards Training-Free Scene Text Editing25 Mar 2026