3 papers
cs.SD2026
TADA! Tuning Audio Diffusion Models through Activation Steering
Åukasz Staniszewski, Katarzyna Zaleska, Mateusz Modrzejewski +1
Audio diffusion models can synthesize high-fidelity music from text, yet achieving fine-grained control over specific musical attributes remains challenging, as their internal mech…
cs.CV2026
Precise Parameter Localization for Textual Generation in Diffusion Models
Åukasz Staniszewski, Bartosz CywiÅski, Franziska Boenisch +2
Novel diffusion models can synthesize photo-realistic images with integrated high-quality text. Surprisingly, we demonstrate through attention activation patching that only less th…
cs.LG2025
Low-Rank Continual Personalization of Diffusion Models
Åukasz Staniszewski, Katarzyna Zaleska, Kamil Deja
Recent personalization methods for diffusion models, such as Dreambooth and LoRA, allow fine-tuning pre-trained models to generate new concepts. However, applying these techniques…