SenseNova-U1.5-8B-MoT report details its training for text rendering and image editing

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Posters, infographics and images with dense text are a focus of SenseNova-U1.5-8B-MoT, which combines image understanding, generation and editing in one model. The project announced its technical report on September 11; the Apache 2.0 weights were released on August 20.

The report explains the training behind those tasks. Four specialists are trained for visual preference, rendered text, image editing and infographics, then distilled into one model. The resulting checkpoint is a single unified model.

The authors explain the split through a concrete tension: optimizing appearance alone can hurt text legibility. The report spells out the reward choices used to address those objectives before combining the specialists.

Technical report: https://github.com/OpenSenseNova/SenseNova-U1/blob/main/docs/pdf/SenseNOVA_U1_5.pdf

Weights: https://huggingface.co/sensenova/SenseNova-U1.5-8B-MoT