ACE Step 1.5 XL — Task Arithmetic Merged DiT Models (GGUF) Quantized GGUF versions of task arithmetic merged ACE Step v1.5 XL DiT models, ready for use with C++ inference engines. What Are These? These are DiT (Diffusion Transformer) models created by merging the official ACE Step v1.5 XL checkpoints using task arithmetic. Task arithmetic blends the learned "task vectors" of two fine tuned models at a controlled interpolation ratio, producing models that inherit qualities from both parents. Each model blends two of the three official XL checkpoints: Model Parent A Parent B Ratio (λ) Character merge sft turbo xl ta 0.3 XL SFT XL Turbo 0.3 Mostly SFT with a touch of Turbo speed merge sft turbo xl ta 0.7 XL SFT XL Turbo 0.7 Mostly Turbo with SFT musicality merge base turbo xl ta 0.5 XL Base XL Turbo 0.5 Equal blend of Base and Turbo λ = 0 means pure Parent A, λ = 1 means pure Parent B. Why Merge? SFT × Turbo blends combine SFT's strong lyric adherence and musical structure with Turbo's faster convergence and energy Base × Turbo blends bring Base's raw generative range together with Turbo's efficiency Different ratios let you dial the trade off to taste — lower λ for more structure, hi…
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