The pandemic made it so much worse for a lot of people I know. Or should I say it was exactly those people who made it worse for all of us? I am sure that a certain slice of the population my age

Where's the demo number? Can't seem to find it?

In the main post! It's +1-650-729-9536 :)

Does anyone here use the free Feedbro extension? I'm asking because it's working really good for me and I've never seen it mentioned here when it comes to RSS feed clients.

Is it possible to setup PayPal to automatically forward received money to a bank account or a credit card, without allowing them any withdrawal rights on that bank account or credit card?

Would it be safe to use it that way?

Any idea on how long could it take to get this in the stable channel?

If you are only interested in Stable Diffusion there's no need to get up to 24 GB. Plenty of people are using a 12 GB RTX 3060 (with that you could generate something like 4 simultaneous 512x512 images in a matter of seconds).

Even the cheaper and recently re-released 12 GB RTX 2060 could be a good pick although the 2060 is generation behind and is less efficient in terms of electricity consumption.

Of course with more GB you get higher resolution images, but plenty of people just generate at 512x512 and then use other AI projects (for example "real-ESRGAN") to later upscale their images, which will still let you achieve great results.

I think a good advice could be to join Stable Diffusion Discord and talk to other users sharing their results and experiences there.

By the way, IIRC (please double-check the following) it could be also worth noting that the guys behind Stable Diffusion (Stability.AI) declared that in the end they will eventually bring down the VRAM usage to approximately 5 GB.

However more GB are always a good thing in general for Machine Learning...

I can run DALL-E mini with the MEGA model with 12 GB of VRAM. What are the requirements for minDALL-E and MEGA, in terms of VRAM?

How is minDALL-E better than DALL-E mini?

I can run DALL-E mini with the MEGA model with 12 GB of VRAM. What are the requirements for minDALL-E in terms of VRAM?

How much VRAM will minDALL-E plus the MEGA model take?

Thanks to the amazing @lucidrains there's already an open-source implementation of DALL-E 2: https://github.com/lucidrains/DALLE2-pytorch and a pretrained model for it should be released within this year.

The same person is also at work on an open-source implementation of Google's Imagen which should be even better (and faster) than DALLE-2: https://github.com/lucidrains/imagen-pytorch.

This is possible because the original research papers behind DALLE-2 and Imagen were both publicly released.