drawingthesun
Joined 4 years ago
Joined 4 years ago
Logseq now has a whiteboard feature that is similarly powerful.
As my business become more complicated and I become less a tech oriented student and more a "have to get the paperwork done for legal reasons" type person I went back to iPhone and never looked back.
I noticed many people I know running very time consuming business to be iPhone users too, not having the time to tinker with Android.
I notice my tech friends working in support love android, as their job doesn't really let them tinker. How we for those running's servers and dealing with backend stuff I see iPhone ownership is about 50/50, far higher than in support.
And most people I know that own their own business like I do are almost always iPhone users.
We just do not have time to dig deep into our phones and tinker, we have too much work to do and we are already stretched for time with our families, why waste that on configuring yet another Android ?
I've read people making comics and generate many different scenes say v4 now allows consistent character design.
For over a month after the funding round completed he was eager to release as much as he could, including 1.5
My read on the issue is that either of (or all) the following is causing some concern:
1. The severe pushback from artists regarding the fact that the model is trained on living artists artworks.
2. Almost every implementation removed the nudity filters.
https://mobile.twitter.com/EMostaque/status/1582055542960230...
This issue has been claimed many times and I've heard that DALL·E 1 & 2, Stable Diffusion & Midjourney all can create images that are exact copies of the training material.
This doesn't make sense considering the compression ratio of training images to model is about 1:25,000.
Further investigations I have made show that all these cases can be explained via the following:
1) The prompt included an image, so some form of image2image was used. Of course if you use an image as a base, and tell the model to stick closely to that image, the output will largely resemble that image.
2) The example was completely made up.
So far I have seen no evidence, given a text prompt, the output of an image containing some portion of any image from the training set.
Let the backlash happen and as a society let's put a stop to letting religious idiocy get in the way of science.
There is an entire field of study for ethical science and I stand behind that 100%.
Unethical science can get lost!
I'm not a progress at any costs type of person.
But is this actually unethical or just something a religious idiot doesn't like?
However:
If I buy you a gift and we agree for the gift you do task x for me. Now that is income and the value of the gift must be considered income on your tax return.
Disney isn't saying "here is a room for free if you do x, y , z"
Disney is saying "here is a room for free" and that is the end of it.
Of course the obvious issue for Disney is that the influencer might never do the review of the park and never in a million years could Disney take them to court complaining services were not rendered.
You cannot give a gift with expectation of return.
So it's not income.
But it's limited because the one giving you the gift really has to trust that you'll do the thing you do.
I am surprised Disney would bother to be honest. I thought their theme parks were popular enough already.
Stable Diffusion cost less than $1 million to train.
I'm dumbfounded to see all the gatekeeping around these ML models considering this.
Within 24 months someone will train a stronger model with a $20,000 home setup and this gatekeeping ridiculousness will be dead for good.
I'm excited to see what $1 million gets you in 24 months, possibly a multi-trillion parameter NLP god. :p
The devs recently added img2img support too.
I had tried to install the more complete versions but I just end up in a wormhole of python and conda errors.
I feel like an idiot buying a $7,000 aud computer to have the native apps contain ads.
It's disgusting.
The database is kept in sync with either Dropbox or iCloud.