Freaks City

Accelerating diffusion model inference—especially for large-scale text-to-image pipelines—requires a multi-layered strategy targeting computation, memory bandwidth, and parameter reuse. This article covers three orthogonal yet complementary optimization axes: computation-aware frameworks, intermediate state caching, and low-bit quantization. Al ...

Model Structure The basic unit consists of token embedding with positional encoding, encoder, and decoder. Encoder: Self-attention layer with skip connections and layer normalization, followed by a feed-forward network (FFN) with skip connections and layer normalization. Decoder: Self-attention layer with skip connections and layer normalizati ...