#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:
Paper:
Github:
Links:
Homepage:
Merch:
YouTube:
Twitter:
Discord:
LinkedIn:
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:
Patreon:
Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq
Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2
Litecoin (LTC): LQW2TRyKYetVC8WjFkhpPhtpbDM4Vw7r9m
Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n
source
