Diffusion PDF – A Diffusion Image Model Embedded Entirely in a PDF File
Hey Hacker News! I'm Alex, I'm 19 and I work at Hack Club! The last two weeks i've been messing around with pdfs. I made slop pdf (https://slop.alexvd.dev -- notice the similar website design), a pdf that generates random ai slop stories when you open it, and I was showing that off to one of my friends who suggested I get the LLM to actually work inside the pdf, without an API call to a relay. I laughed at the idea, but then we did some research together, and we managed to find EvanZhouDev's llm.pdf (https://github.com/EvanZhouDev/llm.pdf). Because it existed, I…
Diffusion PDF – A Diffusion Image Model Embedded Entirely in a PDF File launched on August 13, 2026 with 5 votes, #1,809 of 23,274 launches that month and more than 75% of that year's launches.
What it does
A PDF with a 55-million-parameter denoising diffusion model embedded within it.
The last two weeks i've been messing around with pdfs. I made slop pdf , a pdf that generates random ai slop stories when you open it, and I was showing that off to one of my friends who suggested I get the LLM to actually work inside the pdf, without an API call to a relay. I laughed at the idea, but then we did some research together, and we managed to find EvanZhouDev's llm.pdf . Because it existed, I didn't want to waste my time or my tokens building something like it. So I pivoted, eventually deciding to make a diffusion image model work fully inside a pdf. I forked EvanZhouDev's llm.pdf repo, and eventually managed to get it working (with the help of claude). Here's the finished…from diffusion.alexvd.dev
In the maker’s words, at launch
Hey Hacker News! I'm Alex, I'm 19 and I work at Hack Club! The last two weeks i've been messing around with pdfs. I made slop pdf (https://slop.alexvd.dev -- notice the similar website design), a pdf that generates random ai slop stories when you open it, and I was showing that off to one of my friends who…
Does a similar job
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Tiny Diffusion – A character-level text diffusion model from scratchNov 2025 · github.com · ▲172I previously posted this a month and a half ago: https://news.ycombinator.com/item?id=45876742 I have rewritten it to be much more simple, from 951 lines of code to just 364, with no loss in core functionality or generation quality. I also added a tiny GPT implementation as a comparison (inspired by Andrej Karpathy's code). The two model implementations are ~80% identical, with the core differences being the generate and get_batch functions. The model architecture, training loop, etc, differ in only 19 lines of code. Trained weights are included, so you can just clone and run…
- ILI left Figma to build a diffusion-based UI design toolJul 2026 · diffui.ai · ▲80
Hey hn, this has been something I've been working on for the last few months and is finally robust enough to really show off. I've been pretty tired with the design outputs of LLMs for a while, and I've always thought diffusion offered much more creative / on brand design outputs, even before they were able to render text. I had enough conviction for this to leave my role over at Figma to build Diffui. The goal is to allow for you to design your full web app as quickly as possible, in a figma-like interface, and then hand that off to an agent to build. The page shows some interactive…
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Modular Diffusion – A modular Python library for diffusion models2023 · github.com · ▲40Hello everyone! I've been working on this project for a few months as part of my thesis in Machine Learning. It's meant to be a library that provides an easy-to-use but flexible API to design and train Diffusion Models. I decided to make it because I wanted to quickly prototype a Diffusion Model but there were no good tools to do it with. I think it really can help people prototype their own Diffusion Models a lot faster and only in a few lines of code. The base idea is to have a Model class that takes different modules corresponding to the different aspects of the Diffusion Model process…
Slop or not – can you tell AI writing from human in everyday contexts?Mar 2026 · slop-or-not.space · ▲19I’ve been building a crowd-sourced AI detection benchmark. Two responses to the same prompt — one from a real human (pre-2022, provably pre prevalence of AI slop on the internet), one generated by AI. You pick the slop. Three wrong and you’re out. The dataset: 16K human posts from Reddit, Hacker News, and Yelp, each paired with AI generations from 6 models across two providers (Anthropic and OpenAI) at three capability tiers. Same prompt, length-matched, no adversarial coaching — just the model’s natural voice with platform context. Every vote is logged with model, tier, source, response…
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