OMG! The work and time you put in to these is phenomenal! Toward the end, I never even had known the proper names for some of those symbols - and I'm 64 🙂 I'll have to look-up how to make some of them. Man, you just blow me away with these!!!!!!!!!!!!!!!!!!!!

I had a hunch and I Googled "celestial jungle" and discovered an explanation for the type of art it gave you. It is because "celestial jungle" search comes back as a song title with art attached to it, it refers to a set of horoscope cards, thus the continuous addition of text, and it's the name of a 1000pc puzzle explaining the card/game box type borders. I am convince this is what gave MJ the idea that these may have been what you were looking for in that particular grouping of words. Thanks for your thorough and excellent video. I certainly gained a lot of insight from it.

Loved seeing all of these, thanks for sharing!

It's definitely the case (from experience) that words earlier in the prompt have higher weightings.

You have the mind of an engineer! This was a great breakdown

3rd video and I'm hooked! Love the format of your videos. Thank you

This is was a great video and what a lot of work you put into it! I started mixing more than one punctuation mark -- they were interesting too, and I was able to get better images

I know this video is about midjourny, thank you for that. I would also like to share something about Genmo, txt to picture and txt to video Genmo: Sure! Here's what each symbol does: - !: Adds a high contrast effect to the image - #: Adds a sepia tone to the image - $: Adds a grayscale effect to the image - %: Adds a pixelated effect to the image - ?: Adds a blur effect to the image - (: Adds a fisheye effect to the image - ): Adds a bulge effect to the image - ,: Adds a vignette effect to the image These symbols can be added to the end of a caption to apply the effect to the generated image. For example, "a beautiful sunset over the ocean!" would generate an image with a high contrast effect.

I value your time and am grateful for your videos, thank you so much. It has helped me so much on midjourney and I do my own experiments as well. So what you do HELPS us tremendously I can say it 100% for myself.

Thank you fur such a wonderful study!

You seriously took one for the team here, Thaeyne. Thank you.

I’ve only used stable diffusion and DALL-E, and from this Midjourney looks like so much work.

The 7:33 monochromatic, that top right one is identical to the very famous National Geographic photo

awesome work🤩

Very interesting work.

Thanks for doing this, even your AI narrator sounded weary when you mentioned not wanting to do it again :) I'm fairly new to MJ and this has helped understand which, if any, separators make a difference. I think most of them just add a bit of randomness into the melting pot, but as you found a few do seem to make a distinct difference. Will have some fun experimenting :)

Muy interesante😍, Gracias por compartir

Thanks!

recently i removed an extra comma from amongst the handful of negative prompts i had entered. This drastically altered the output.. perhaps it was pushing an embedding outside the 75 token range and just that one erased comma raised its weight somewhat.. the infinite-infinities we have but a space away, this is why i spend 96% of my ML time 'testing' outputs

This is a great video…. The @ symbol looks like it helps with location…. in the celestial@jungle there is an image at what looks like Jungle Cafe. Im going to hassle to test something like Girl@Beach and see how comes up

I will say adding words like 'mockup' is better for UI design, or device designs, not necessarily drawings. Likewise, saying 'what' to refer to an object doesnt quite work for a computer to understand. It doesnt know what a 'what' is, since it can be anything, and these coded algorithms study millions of images of different things to reference when they recreate it for a prompt. so using 'what' doesnt quite work for that reason. Similar for the word 'look'. Unless you add a descriptor before it, 'i.e., 'wes anderson look' or 'cinematic look' or 'watercolor look' it wont give you results you desire. Other than those things, these are really great tips! Appreciate your own findings and experience. I've generated over 20k images at this point since being approved to use Midjourney when it was still invite only beta, and this is just what i've learned over time. If you have any background in coding or basic html/css, ai like this is a little easier to use because you understand that a computer doesnt know things the way we do, or conceptualize. Being able to describe what you want to a machine takes a bit of practice.

At 7:18 the results from "monochromatic::portrait" has given an image that looks strikingly similar to a very famous photo from National Geographic called Afghan Girl by Steve McCurry, but in black and white. Yikes!

6:59 The hooded girl is the famous green eyed girl from the National Geographic magazine cover June 1985

It's cool you do experiments like this, and thanks for sharing! A lot of what you are experiencing here as results are what Midjourney calls "noise" combined with the always variable nature of the output. Even if you set a seed you won't get exactly the same result every time your run it, thereby negating any ability to actually see if tests like these produce meaningful results. The AI only recognizes spaces, ::, and -- for paramaters. the rest does have some small effect, but not specifically. It's "noise", which means you shouldn't try to use it for specific results. Commas, brackets etc do not actually matter other than to help you group your own thoughts and therefore probably generate better prompts. But otherwise they don't make much of a difference. You get far more noticeable results from rearranging the words since Midjourney weights words at the front more heavily than those near the back of the prompt. Also, some words carry such a heavy weight that they overpower other words no matter where you put them. Add something like "art nouveau" to about anything and it dominates most of the output. Whatever the algorithm was trained on was what you get, including some weights and bias, and that's why you can't generate things it's never experienced before. Think if AI/ML like a DJ for music... they create some amazing new songs, but never create the raw building blocks they use, which all come from musicians and other technology.

@Thaeyne - --16:9- is not a parameter we "prefer", but rather designates an industry standard for the [A]spect [R]atio of the image. Width / Height of our monitors, photographs, and projections are all created with this ratio. - - ar 9:9 would generate a square image Vertical images get the smaller number first to denote the width - -ar 9:16 whereas, for your videos on the internet - -ar 16:9 fits most displays i.e. 1920 x 1080, or any image size where the equation equals 1.7778 which is the mathematical expression of 1920 / 1080 the ratio of width to height.

I have a feeling those punctuation affect how light appears in the picture, like shape of light, direction of the light

The girl with the colon separator in monochromatic is like the girl on the National Geographic iconic cover

I wish you would have done Greater than and less than, those seem like symbols that should matter

*have you looked at or considered the exploration of other AI generating programs that function in the basic manner as midjourney such as blue willow or Leonardo AI? i personally use deep ai, dall e-2 and nightcafe'ai the most or rather have for the past few months...i do like what the results have been for the most part...my experimentation does tend to rely on a few key word prompts at the beginning of each image and the random seed generation does produce some interesting results especially since i typically do a marathon run of one hundred or more images per session...*

Cool

+ seems to make my portraits a bit blockier in colour. Almost 'painted'

Love your vids ❤ what do you use for voice?

I'm starting to question my sanity too.. 🤣

--no title, text, word, letter, symbol, watermark, autograph, signature, mockup This helps keep words off of the images, as well attempts to prevent it from turning it into a package or product.

In a second note mind sharing your speech ai tool? It's pretty good

Like the comparisons. You had some errors in the prompt text. Psytrance was showing for monochromatic @11:53 and you didn't have the word "no" before mockup. If you did that on midjourney it's probably the reason you got board game mockup

I always get --seed: invalid int value: '###,' no matter what number I use, Do you have it set to V4 in /settings ? I don't thin the seed is working

7:20 The monochrome portrait here looks like Steven McCurry's portrait, of a Pashtun child, Sharbat Gula

You may want to double check before posting in the future your text labels in some of the photos had errors / wasn’t changed

*9:40** the face in the lower right hand of the center section looks to be unusually large in proportion to the rest of the body...at least in my opinion*

Why are you using the "mockup" prompt? What features do you have?😊😊😊😊😊??????

That's fantastic! That's awesome! But what does --seed777 mean? Is the number 777 necessary?

You used the wrong label at 3:32

Thanks a lol for the science....

Am I the only one who didn't see any difference with all the symbols or do I needed glasses? 😮

I'd love to watch this but the AI voice is just annoying and painful to listen to. I can't do it for 26 minutes. Please, be a human.

Just useless informations...