Psychedelia fine tuned Stable Diffusion model
Hi guys! I did a hackathon this weekend for leapml.dev and built out a site that lets you generate images with stable diffusion in the browser: https://aiart.fm Each image gets tagged and stored in a database so you can go back and look at what prompts, seeds, step, models people have used to make nice images. There is also a rudeimntary voting system and the homepage is sorted by highest rated. But the most exciting bit is I added my own custom fine tuned model to it last night that I'm calling "Psychedelia". All of the top images one the homepage are using this model. It seems to…
What it does
In the maker’s words, at launch
Hi guys! I did a hackathon this weekend for leapml.dev and built out a site that lets you generate images with stable diffusion in the browser: https://aiart.fm Each image gets tagged and stored in a database so you can go back and look at what prompts, seeds, step, models people have used to make nice images. There is also a rudeimntary voting system and the homepage is sorted by highest rated. But the most exciting bit is I added my own custom fine tuned model to it last night that I'm calling "Psychedelia". All of the top images one the homepage are using this model. It seems to work best with basic prompts and I often still get artifacts like double heads, but I'm quite happy with the initial results and will continue to fine tune. The site is built with NextJS, TailwindCSS and Supabase and you can login and generate images for free. Hope you enjoy! Thanks, Alex
Does the same job
all alternatives →More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com

