Parti - Scaling Autoregressive Models for Content-Rich Text-to-Image Generation (Paper Explained) @YannicKilcher
Parti - Scaling Autoregressive Models for Content-Rich Text-to-Image Generation (Paper Explained)  @YannicKilcher
Uploaded June 2022 | Updated September 2026, 2 weeks ago
#parti #ai #aiart

Parti is a new autoregressive text-to-image model that shows just how much scale can achieve. This model's outputs are crips, accurate, realistic, and can combine arbitrary styles, concepts, and fulfil even challenging requests.

OUTLINE:
0:00 - Introduction
2:40 - Example Outputs
6:00 - Model Architecture
17:15 - Datasets (incl. PartiPrompts)
21:45 - Experimental Results
27:00 - Picking a cherry tree
29:30 - Failure cases
33:20 - Final comments

Website: https://parti.research.google/
Paper: arxiv.org/abs/2206.10789
Github: github.com/google-research/parti

Links:
Homepage: ykilcher.com
Merch: ykilcher.com/merch
YouTube: youtube.com/c/yannickilcher
Twitter: twitter.com/ykilcher
Discord: ykilcher.com/discord
LinkedIn: linkedin.com/in/ykilcher

If you want to support me, the best thing to do is to share out the content :)

If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this):
SubscribeStar: subscribestar.com/yannickilcher
Patreon: patreon.com/yannickilcher
Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq
Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2
Litecoin (LTC): LQW2TRyKYetVC8WjFkhpPhtpbDM4Vw7r9m
Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n
Parti - Scaling Autoregressive Models for Content-Rich Text-to-Image Generation (Paper Explained)Transformer Memory as a Differentiable Search Index (Machine Learning Research Paper Explained)[ML News] GPT-4 Rumors | AI Mind Reading | Neuron Interaction Solved | AI Theorem ProvingI built the most expensive CPU ever! (Every instruction is a prompt)Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attentionFull Self-Driving is HARD! Analyzing Elon Musk re: Tesla Autopilot on Lex Fridmans PodcastCompetition-Level Code Generation with AlphaCode (Paper Review)[ML News] DeepMinds Flamingo Image-Text model | Locked-Image Tuning | Jurassic X & MRKLActive Dendrites avoid catastrophic forgetting - Interview with the AuthorsOpen Assistant Live Coding (Open-Source ChatGPT Replication)[ML News] Chips, Robots, and ModelsTiDAR: Think in Diffusion, Talk in Autoregression (Paper Analysis)
Yannic Kilcher |

Parti - Scaling Autoregressive Models for Content-Rich Text-to-Image Generation (Paper Explained)

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER