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from Supercomposite's original twitter post, we can see they claim to start off with a negatively weighted prompt of "Brando::-1" To me, this looks like midjou

from Supercomposite's original twitter post, we can see they claim to start off with a negatively weighted prompt of "Brando::-1" To me, this looks like midjourney prompts. At least we can say, that is valid midjourney syntax for sure, and it is using weights. but probably not to the effect the author portrays. for example, if I prompt "/imagine autumn landscape::2 birthday cake::3", I get this image[1]. But now if I tweak the prompt to "/imagine autumn landscape::-0.5 birthday cake::3", I get this image [2]. Critically, there is no trace of "opposite of an autumn landscape" in this image. It's all birthday cake... 100%. Indeed, this lines up with some midjouney documentation[3]. A negative weight will try to remove the thing in the prompt. BUT: what happens when we only have one prompt, and we use a weight to negate it in midjourney. i.e: "/imagine Brando::-1". At least for me, it get this error: "Invalid parameter The sum of all of the prompt weights must be positive" So I'm inclined to conclude that Supercomposite's post is more an act of creative story telling, than an accurate portrayal of their interactions with Midjourney. But I am still left wondering if there is a true "opposite of" operator in any AI image generator. [1]: https://cdn.discordapp.com/attachments/1006400576067739749/1017438050646761562/slowcamp_autumn_landscape_0253e597-b56e-4469-89b9-38ffe63a0675.png https://cdn.discordapp.com/attachments/1006400576067739749/1... [2]: https://cdn.discordapp.com/attachments/1006400576067739749/1017440309816340521/slowcamp_autumn_landscape_bd2939cd-a393-412f-870a-12b1e94dd851.png https://cdn.discordapp.com/attachments/1006400576067739749/1... [3]: https://midjourney.gitbook.io/docs/imagine-parameters#prompt-modifiers https://midjourney.gitbook.io/docs/imagine-parameters#prompt...

yccs27 4y ago
I mean, they might have modified the midjourney code to patch out the error message. Presumably the programmers put the check in because results for negative weight sums become nonsensical, not because it's impossible. Thinking in terms of classifiers, an image is almost never categorized as exactly 0% something, instead it's a positive value. Negative weights would make the net optimize for the smallest possible percentage. For the birthday cake, the negative weight is not strong enough to favor any "anti-autumn-landscape" patterns, only to remove features associated with autumn landscapes. But for weights that are all negative, it's plausible that the system will produce all the features that, in the training data, are anticorrelated with the prompt.

yccs27 4y ago

I mean, they might have modified the midjourney code to patch out the error message. Presumably the programmers put the check in because results for negative weight sums become nonsensical, not because it's impossible. Thinking in terms of classifiers, an image is almost never categorized as exactly 0% something, instead it's a positive value. Negative weights would make the net optimize for the smallest possible percentage. For the birthday cake, the negative weight is not strong enough to favor any "anti-autumn-landscape" patterns, only to remove features associated with autumn landscapes. But for weights that are all negative, it's plausible that the system will produce all the features that, in the training data, are anticorrelated with the prompt.