# Parti Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/parti
> Markdown URL: https://aitinkerers.org/technologies/parti.md
> Technology record last updated: 2026-02-27T20:53:28Z
> Generated: 2026-09-22T20:42:56Z

Google Research's 20-billion parameter autoregressive model designed for high-fidelity text-to-image synthesis.

Parti (Pathways Autoregressive Text-to-Image) treats image generation as a sequence-to-sequence task: converting text tokens into discrete visual codebook entries. Built on the Pathways infrastructure, the model scales from 350 million to 20 billion parameters to capture fine-grained world knowledge and complex spatial logic. It utilizes a ViT-VQGAN encoder-decoder to produce initial 256x256 patches (upscaled to 1024x1024) that excel at rendering legible text and precise object counts. Performance on the 1,600+ prompt PartiPrompts benchmark confirms its ability to handle intricate descriptions that often challenge diffusion models.

- Official technology site: https://parti.research.google/
- Public AI Tinkerers demos and talks: 3
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Infinite Wiki - Using GenAI for cooperative World Building](https://cologne.aitinkerers.org/talks/rsvp__PwrDSyvMvE)

I'll be showing off a hobby project that's using generative AI to auto-create an ever expanding wiki on any world you can think of. The project goes for a human-AI collaborative approach giving humans lots of control during generation and editing capabilities.

- Event context: AI Tinkerers Cologne #2: Let's Build. — 2026-01-21 — Cologne
- Public talk page: https://cologne.aitinkerers.org/talks/rsvp__PwrDSyvMvE

### [Building a Dynamic AI-Powered Trading Card Generation Pipeline](https://chicago.aitinkerers.org/talks/rsvp_MGCTXwzxCM0)

A demo of an automated pipeline that transforms financial market data into a dynamic trading card game. I'll show the complete system: from data extraction to LLM-powered creature generation to final card artwork creation. Includes live generation examples and useful techniques like meta-prompting, where one AI model optimizes prompts for another.

- Event context: AI Tinkerers Chicago February Meetup — 2025-02-18 — Chicago
- Public talk page: https://chicago.aitinkerers.org/talks/rsvp_MGCTXwzxCM0

### [Toybox](https://toronto.aitinkerers.org/talks/rsvp_A41w5FMUrnQ)

An Jackbox TV-style party game that uses AI image generation as the primary mechanic. The game starts with players writing prompts to generate images using a given set of starting words. In subsequent rounds, each player receives an image from another player and has to try to create as similar an image as possible. The catch? They can't use the same words. Every round, more words are taken away until you're left trying to generate an image of a cat without using the words cat, kitten, feline, kitty, or any other cat-adjacent word.

- Event context: AI Tinkerers Toronto - Spooky Botober Meetup at Mozilla HQ — 2024-10-30 — Toronto
- Public talk page: https://toronto.aitinkerers.org/talks/rsvp_A41w5FMUrnQ

## Related Technologies

- [DALL-E 2](https://aitinkerers.org/technologies/dall-e-2) ([Markdown](https://aitinkerers.org/technologies/dall-e-2.md)) — 7 public demos
- [DALL-E 3](https://aitinkerers.org/technologies/dall-e-3) ([Markdown](https://aitinkerers.org/technologies/dall-e-3.md)) — 12 public demos
- [Dream by Wombo](https://aitinkerers.org/technologies/dream-by-wombo) ([Markdown](https://aitinkerers.org/technologies/dream-by-wombo.md)) — 3 public demos
- [Imagen](https://aitinkerers.org/technologies/imagen) ([Markdown](https://aitinkerers.org/technologies/imagen.md)) — 10 public demos
- [Midjourney](https://aitinkerers.org/technologies/midjourney) ([Markdown](https://aitinkerers.org/technologies/midjourney.md)) — 14 public demos
- [Stable Diffusion](https://aitinkerers.org/technologies/stable-diffusion) ([Markdown](https://aitinkerers.org/technologies/stable-diffusion.md)) — 32 public demos
- [Stable Diffusion XL](https://aitinkerers.org/technologies/stable-diffusion-xl) ([Markdown](https://aitinkerers.org/technologies/stable-diffusion-xl.md)) — 6 public demos
- [Generative AI](https://aitinkerers.org/technologies/generative-ai) ([Markdown](https://aitinkerers.org/technologies/generative-ai.md)) — 45 public demos
- [AI image generation](https://aitinkerers.org/technologies/ai-image-generation) ([Markdown](https://aitinkerers.org/technologies/ai-image-generation.md)) — 1 public demo
- [Anthropic](https://aitinkerers.org/technologies/anthropic) ([Markdown](https://aitinkerers.org/technologies/anthropic.md)) — 36 public demos
- [Claude](https://aitinkerers.org/technologies/claude) ([Markdown](https://aitinkerers.org/technologies/claude.md)) — 174 public demos
- [Claude Haiku](https://aitinkerers.org/technologies/claude-haiku) ([Markdown](https://aitinkerers.org/technologies/claude-haiku.md)) — 10 public demos
- [Jackbox](https://aitinkerers.org/technologies/jackbox) ([Markdown](https://aitinkerers.org/technologies/jackbox.md)) — 1 public demo
- [Knowledge Graphs](https://aitinkerers.org/technologies/knowledge-graphs) ([Markdown](https://aitinkerers.org/technologies/knowledge-graphs.md)) — 10 public demos
- [Meta-prompting](https://aitinkerers.org/technologies/meta-prompting) ([Markdown](https://aitinkerers.org/technologies/meta-prompting.md)) — 2 public demos
- [Prompt Engineering](https://aitinkerers.org/technologies/prompt-engineering) ([Markdown](https://aitinkerers.org/technologies/prompt-engineering.md)) — 28 public demos
- [RAG](https://aitinkerers.org/technologies/rag) ([Markdown](https://aitinkerers.org/technologies/rag.md)) — 147 public demos
