The model enhances pre-trained 2D stable diffusion models by introducing a domain switcher, enabling effective cross-domain operations without significant alterations to pre-trained weights.
By concatenating positional encoding with time embedding, the model achieves fast convergence and robust generalization, overcoming challenges related to multi-domain diffusion model architectures.
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