The bundled text_fusion is now revision v12 (vision cosine against the native Qwen3-VL-8B encoder
0.930 -> 0.971, text unchanged at 0.951/24.2%). Two things moved: the attention-branch position table
covers 2304 slots, and the fine-tune ran at the real inference geometry (--geom 1024), so the ~2000
token condition of a two-image edit no longer falls into a zero-padded tail.
transformer/config.json text_fusion_config.max_len goes 512 -> 2304 to match the table; the model card,
the conditioning row and the card media are re-rendered with the shipped weights.
Zen Image Edit: Qwen-Image-2.1 on Qwen3.5-0.8B with a text-fusion adapter inside the DiT
Text encoder replaced (Qwen3-VL-8B -> Qwen3.5-0.8B + 158M adapter), adapter embedded in the
transformer as text_fusion before txt_in. Weights fp16 (VAE fp32, 13 files via LFS), 8 example
images generated by this pipeline, NOTICE/LICENSE included per the Qwen Research License.
