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摘要: I tried Google's new DiffusionGemma, and watching it generate text like an image is unlike any local LLM

Adam Conway

Published

Jun 17, 2026, 6:00 AM EDT

I’m Adam Conway, an Irish technology fa...

正文

I tried Google's new DiffusionGemma, and watching it generate text like an image is unlike any local LLM

Adam Conway

Published

Jun 17, 2026, 6:00 AM EDT

I’m Adam Conway, an Irish technology fanatic with a BSc in Computer Science and I'm XDA’s Lead Technical Editor. My Bachelor’s thesis was conducted on the viability of benchmarking the non-functional elements of Android apps and smartphones such as performance, and I’ve been working in the tech industry in some way or another since 2017.

In my spare time, you’ll probably find me playing Counter-Strike or VALORANT, and you can reach out to me at

adam@xda-developers.com

, on Twitter as

@AdamConwayIE

, on Instagram as

AdamConwayIE

, or u/AdamConwayIE on Reddit.

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Most local LLMs feel predictable now. You download a model, point a runtime at it, ask a question, and then watch text move across the screen one token at a time. The model might be better or worse than the one you used yesterday, but the basic experience is usually the same.

DiffusionGemma is different, at least when you run it in its visual mode. Google's new experimental Gemma model doesn't just type its answer from left to right. Instead, it works on a block of text at once, gradually replacing and refining tokens until the answer settles into place. The effect is similar to watching an image generator denoise a picture, which is what the process of "diffusion" refers to. It's a very different experience compared to your typical LLM generating token by token.

I tried it on an M4 Pro MacBook Pro using the 4-bit GGUF through the custom llama.cpp fork detailed by Unsloth. It didn't feel faster to me than running Google's regular Gemma 4 26B-A4B model, and it also

hammered

my Mac in a way LLMs typically don't, causing a full system-wide slowdown. Still, it's a strange experience, but also uniquely exciting given how

different

it is compared to your typical autoregressive language model.

DiffusionGemma changes

来源: Brave/xda-developers.com

采集时间: 2026-06-17 20:16:37