Sign in to confirm you’re not a bot
This helps protect our community. Learn more
skill > destiny Black Mug
$19.99
Items with the channel mantra printed on.
Channel Logo Dark Unisex Premium Pullover Hoodie
$49.99
Dark items with the channel logo printed on. Custom designed graphic is printed in vivid color and high resolution using state of the art color transfer technology. Hoodies & Sweatshirts are made from super soft 50% cotton, 50% polyester. Printed in the USA. Guaranteed to last through hundreds of washes.
Channel Logo Dark Women's Comfort Tee
$24.99
Dark items with the channel logo printed on. Custom designed graphic is printed in vivid color and high resolution using state of the art color transfer technology. Shirts are made from super soft 100% preshrunk cotton. Printed in the USA. Guaranteed to last through hundreds of washes.
Channel Logo Light Women's Comfort Tee
$24.99
Items with light color (white or grey) and the channel logo printed on. Custom designed graphic is printed in vivid color and high resolution using state of the art color transfer technology. Shirts are made from super soft 100% preshrunk cotton. Printed in the USA. Guaranteed to last through hundreds of washes.
Channel Logo Light Next Level 3600 | Premium Ring-Spun Cotton T-Shirt
$27.99
Items with light color (white or grey) and the channel logo printed on. Custom designed graphic is printed in vivid color and high resolution using state of the art color transfer technology. Shirts are made from super soft 100% combed ringspun cotton. Printed in the USA.
Channel Logo Light Mug
$16.99
Items with light color (white or grey) and the channel logo printed on.
Parti - Scaling Autoregressive Models for Content-Rich Text-to-Image Generation (Paper Explained)
904Likes
24,994Views
2022Jun 23
#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: https://arxiv.org/abs/2206.10789 Github: https://github.com/google-research/parti Links: Homepage: https://ykilcher.com Merch: https://ykilcher.com/merch YouTube:    / yannickilcher   Twitter:   / ykilcher   Discord: https://ykilcher.com/discord LinkedIn:   / 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: https://www.subscribestar.com/yannick... Patreon:   / yannickilcher   Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2 Litecoin (LTC): LQW2TRyKYetVC8WjFkhpPhtpbDM4Vw7r9m Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n

Follow along using the transcript.

Yannic Kilcher

290K subscribers