#dit

FoCa: Boosting DiT Inference Speed by 5x via ODE-based Forecast and Calibration

Accelerating Diffusion Transformers (DiTs) during inference has become a major frontier. We know the bottleneck: generating a single image…

Pico-MoEDiT: How Class-Routed MoE Gave a Tiny DiT a 43% Quality Boost for Emoji Generation

“One change cut our loss by 43% — and it wasn’t scaling up the model, the data, or the compute. It was giving each emoji category its own…

Top Enterprise Product Engineering Services Companies in 2026

Enterprises today are under constant pressure to innovate faster and deliver better digital experiences. Customers expect seamless…

Why Stable Diffusion 3 Switched to Rectified Flow: A Visual Explorer

Building a tiny Diffusion Transformer from scratch in JAX to see why Stable Diffusion 3, Flux, and Sora all switched to Rectified Flow.

Your Legacy System Is Slowing You Down — Here’s Who to Hire to Modernize It

Many businesses today rely on systems that were built 10, 15, or even 20 years ago. These legacy systems once powered growth, streamlined…

The Architecture Behind Every State-of-the-Art Image Generator: DiT + Rectified Flow, Explained

The two ideas behind Stable Diffusion 3, Flux, and Sora — how they work, and what makes them tick.

NeurIPS25 oral DiT training speed up new SOTA: REG

A recent collaboration between Nankai University and Harvard University has produced a standout NeurIPS 2025 Oral paper that might just…

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