Style And Aesthetic Control Through Model Variants

via “multi-model selection with style-specific pre-trained variants”

Generate images from texts. In Russian

Unique: Implements style-specific model variants as first-class citizens rather than post-processing filters, enabling style to influence the entire generation process from token embedding through VAE decoding. Kandinsky variant uses 12B parameters (10x larger than alternatives) for quality-focused applications.

vs others: More flexible than single-model systems like Stable Diffusion (which uses LoRA adapters) because each variant is independently optimized; simpler than prompt-engineering approaches because style is baked into model weights rather than requiring careful prompt crafting.