Seed Diffusion is an experimental open-source diffusion language model by the ByteDance Seed team. It achieves a 5.4x inference speedup over comparable autoregressive models for code generation, with strong performance.

Hi everyone!

Text diffusion models are getting faster. After seeing models like Gemini Diffusion and Mercury, ByteDance's new Seed Diffusion Preview is another big leap in speed.

I think the diffusion approach is a really smart idea. For tasks like coding that need you to see the whole picture, planning it all out first is often faster than just generating word by word.

The speedup is real: it delivers a 5.4x speedup over similar-sized models that generate word by word, while performing just as well on key tests. A very interesting new way to build generative models.

This generation speed is just amazing

Super impressive work, Zac — the 5.4x speed boost is wild. Curious how you’re thinking about managing support and onboarding for devs trying Seed Diffusion for the first time? Especially as open-source projects grow fast, that early context matters a lot.

I faced this with my last product, so now I’m building Exthalpy — a live video AI agent that actually acts instead of just chatting. Think Zoom meets AI support. Would love your thoughts: https://exthalpy.com/?fluent-form=3&form=EXT

All the best from a fellow PH builder 🙌

— Udit

Seed Diffusion

A faster, more holistic way to generate code

A faster, more holistic way to generate code

Seed Diffusion

A faster, more holistic way to generate code

A faster, more holistic way to generate code