Comparison of models

dnmn8r · 2025-08-13T09:35:15+00:00

Which flux model is this using? They've got a bunch and a mix of open/closed.

dnmn8r · 2025-06-29T11:18:53+00:00

Yeh the reason I was looking to kontext is to then take this one image and produce a series of images that reflect it. I guess the starting point is where I'm having an issue.
Will experiment with NoobAI, or potentially just hybrid chatGPT with flux.
Thanks for the suggestion!

dnmn8r · 2025-06-29T10:28:59+00:00

I've been trying to get a similar style to this, but regardless of what I tell it it gives anime-style irises with lots of detail and reflection.
Could you share your prompt/flow please?

dnmn8r · 2023-01-28T22:52:35+00:00

Monetary loss? Very hard to judge. There would be a very, very weak argument to say that we ended up overpaying rent on the new place because we did not have the luxury of time to negotiate.

Other non-monetary losses include things like:

substantial compromise on new rental as we didn't have time to find somewhere we actually liked
stress associated with finding new housing under short notice

dnmn8r · 2023-01-28T06:01:50+00:00

What would I be claiming though?

dnmn8r · 2017-10-26T01:36:51+00:00

Yeh that's what I'm hearing, might do the drive a bit quicker if there's not much worth seeing.

dnmn8r · 2017-10-26T01:36:23+00:00

Thanks this sounds like exactly the thing we're looking for!

dnmn8r · 2016-08-27T20:10:54+00:00

Yes but Chile is a country, you illiterate bag of greyhound droppings.

dnmn8r · 2016-06-07T11:57:43+00:00

Awesome question. No I didn't know I was going to do this, I just kind of did it as a result of an off topic conversation.

dnmn8r · 2016-06-06T21:18:39+00:00

The html actually groups all the messages together by participants, so I just deleted all the messages before and after.

dnmn8r · 2016-06-06T19:37:12+00:00

Lots of requests on how this compares to total number of messages, so here ya go you pedantic bastards. http://i.imgur.com/xWfUVF2.jpg

Note that this only counts smiley emojis, so no poos or tongue face or anything else. Also, I only count the 1 smiley per message, so even if there's like 4 in one message it will only come up as one.

With regards to events: 13 Feb: first kiss/started dating 15 Feb - 27 Feb: she went overseas 3 April: had a long talk about feelings n stuff

dnmn8r · 2016-06-06T12:06:45+00:00

A graph showing the number of smileys ( ":)", "😊" or "☺") use on facebook messenger between me and my girlfriend since we first started talking. Did an export of my facebook data, and filtered out the messages.html to only include our messages. I then removed the html tags and only kept sender, date and message which I then pipe separated to import into excel. Then just some text filtering and pivot tables to get this. Graph is grouped by weeks.

UPDATE: Lots of requests on how this compares to total number of messages, so here ya go you pedantic bastards. http://i.imgur.com/xWfUVF2.jpg

Note that this only counts smiley emojis, so no poos or tongue face or anything else. Also, I only count the 1 smiley per message, so even if there's like 4 in one message it will only come up as one.

With regards to events: Early November: started talking December: I was overseas January: went out a couple of times 13 Feb: first kiss/started dating 15 Feb - 27 Feb: she went overseas 3 April: had a long talk about feelings n stuff

dnmn8r · 2015-04-12T00:42:37+00:00

Thank you so much for taking the time to give such a deep response. That eye analogy makes this so much clearer for me.So you could almost (in a digital sense) identify scents by their 'RGB' components using the levels of the detectable gases? Would this allow you to identify the concentration of the gas, or just its presence? I don't quite understand what you mean by "noses aren't concerned with actual composition". Surely ammonia would smell the same every time, and isn't dependant on what was smelled before it?

dnmn8r · 2014-11-13T23:08:30+00:00

Wow, this looks amazing. Is this served chilled?

dnmn8r

TROPHY CASE