From Character Priors to Controllable Chinese Glyph Generation

Pretrained image editors can render complex Chinese characters, yet this capability alone does not ensure transfer of a typeface from a few examples or control over its weight. We present a unified framework that turns pretrained character priors into few-shot Chinese font style transfer and explicit weight control. We first post-train Qwen-Image-Edit-2511 on font-transfer data to synthesize text-specified characters from two other-character references, without per-font tuning. We then extend the learned generator with signed weight control while keeping its generation parameters fixed. This enables font style transfer and weight control in one model and a single generation run, with the reference glyphs held fixed. On 24 adaptation-held-out targets, adaptation reduces LPIPS from 0.6832 to 0.1925 and raises foreground IoU from 0.2107 to 0.5490 relative to the unadapted base editor, with the largest gain where neither the font nor the character was seen; it also improves both metrics over the evaluated configurations of dedicated font generation models MX-Font++ and FontDiffuser. Fixed-reference control experiments change stroke weight in every requested direction and recover ordinary generation exactly at zero requested weight change, and a subspace-constrained residual improves target-weight matching, perceptual quality, and spatial fidelity together, where an unconstrained residual improves only the first. These results connect pretrained character knowledge with reference-guided, controllable glyph synthesis.