Mind you, for all the hype, this is predicted to be a 1-day snow storm, and we’ve had enough big wind storms already this year that there won’t be a lot of fallen trees taking down power; it’ll mostly be idiots driving into transformers.

✔️ battery-powered emergency radio with hand crank

✔️ cooked food, canned food, freeze-dried camping food, emergency long-term food

✔️ potable water for several days

✔️ gas range; also camp stove and plenty of fuel (the outdoor gas grill would be challenging to use in the cold, but possible)

✔️ small pellet-burning grill and lots of fuel

✔️ gas water heater

✔️ gas fireplace that can be manually lit

✔️ blankets, hand-warmers, winter clothing

✔️ high-capacity UPS that can be used to power small appliances

✔️ fully-charged phone/tablet/chargers

✔️ fully-charged camera batteries that can be used to recharge phone

✔️ 2 cars with full tanks of gas, one of them garaged

✔️ pre-salted driveway and walk to help reduce accumulation

✔️ computer and Switch games if I have power

✔️ books if I don’t

✔️ pepper-ball guns, with fresh CO2 cartridges

✔️ actual guns, with fresh bullets

❌ seasonal service check for gas furnace

Oops.

Apparently the furnace stopped delivering heat on Friday, but between the thermal mass of the 2,500 square-foot basement and the big gaming PC making genai gals all night long, I didn’t notice until Saturday at 6pm.

At which point it was already 14°F outside and starting to snow.

I’ve got a call into my HVAC people, but I doubt they’ll be able to get to me until Monday, what with the 17+ inches of snow predicted over the next 24 hours.

So it’s 64°F in most rooms tonight, and 67°F in the kitchen and family room thanks to the gas fireplace. Which, sadly, is at one end of the 75-foot-long house. The furnace is at least able to blow air around, so the heat from the fireplace will keep it tolerable in the rest of the house.

This week, a study in heroism. More shows like this, please.

(sadly, Crunchyroll has decided to add a mandatory post-credits recommendation page to the app (FireTV version, at least), and there’s no button to get out of it; dipshits)

Ready for the big snow!

(related, Apple’s Weather app has an annoying behavior on all platforms: the predicted precipitation for a day is from midnight to midnight except for the current day, where it’s “the next 24 hours starting right now”; as a result, the only time it provides useful information is at midnight)

Why is the west end of my house 10 degrees cooler?

Because the thermostat was balancing the house based on multiple sensors; the east end has all the computers, and one of them was running all night making GenAI-gal wallpaper.

Clearly, the fix is to move that computer! Which is actually tempting, because that room has a gas fireplace that will still work if the power goes out. So I can heat the room one way or another…

(I’ve linked to a lot of Hiyodori’s Chiharu cartoons, but the complete English version of the Christmas story hasn’t been posted yet)

Every picture tells a story, but…

…with AI, that story is usually complete nonsense.

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Today is not a good day to be a MS Office 365 email customer. Or one of their partners…

Twelve Months

The new Dresden Files novel arrived Monday afternoon. I’m not sure what happened after that; the rest of the day is a blur. Harry spends a lot of time recovering from the aftermath of the Big Event(s), which may be more emotional and introspective than some fans are really interested in. He does get better. Eventually.

Good stuff, recommended for people still keeping up with this series.

(Fern is definitely more photogenic than Harry Dresden…)

“Guardians Of The Gal-axis”

The targeted LLM enhancements are doing a good job of improving the variety in outfits and backgrounds, so can I do something about ZIT’s horrible guns?

You are a technical illustrator with in-depth knowledge of how weapons look and function, including historical, modern, fantasy, and futuristic science-fiction styles. Your task is to convert user input into detailed prompts for advanced image-generation models, ensuring that the final result is both plausible and visually appealing. You refuse to use metaphor or emotional language, or to explain the purpose, use, or inspiration of your creations. You refuse to put labels or text on weapons unless they are present in doubles quotes (“”) in the input. Your final description must be objective, concrete, and no longer than 50 words that list only visible elements of the weapon. Output only the final, modified prompt, as a single flowing paragraph; do not output anything else. Answer only in English.

(yes, many models randomly slip into Chinese unless you remind them; I had one sci-fi gun description that randomly included “握把表面具有纳 米涂层防滑纹理” (which apparently translates to “the grip surface has a nano-coated anti-slip texture”, which sounds perfectly reasonable, although not something you can really expect an image-generator to render)

I may need a separate “expert” for sensible gun-handling poses. Also, some models are waaay too focused on the AR-15 as the universal “gun”, so I’m going to need to add some more focus to the prompt.

Also, can I do a simple cleanup pass at the end?

Sometimes, the source of extra limbs and odd poses is contradictory descriptions in different parts of the generated prompt. A background might describe a human figure, and some of its characteristics get applied to the main subject, or else the character might be described as praying, but also has to hold a pistol. So I’m trying this:

You are a Prompt Quality Assurance Engineer. Your task is to examine every detail of an image-generation prompt and make as few changes as possible to resolve inconsistencies in style, setting, clothing, posing, facial expression, anatomy, and objects present in the scene. Ensure that each human figure has exactly two arms and two legs; resolve contradictions in the way that best suits the overall image. Output only the final, modified prompt, as a single flowing paragraph; do not output anything else. Answer only in English.

A visual diff of some samples suggest that it does a good job. Some models try to make more changes, but the ones I’ve been using most actually produce something recognizably diffable. I doubt there’s a prompt-based solution to perspective problems, though; ZIT is good at making multiple figures interact, but terrible at ensuring they’re drawn at the same scale.

The big downside of all this LLM nonsense is that I don’t have a second graphics card to run it on, and even a high-end Mac Mini is slooooooooow at running text models (don’t even bother trying image models). Right now it takes about as long to generate a single prompt as it does to render a 1080p image of it. And every once in a while local LLMs degenerate into infinite loops (the paid ones do it, too, but it usually gets caught by the layers of code they wrap them in to enforce bias and censor naughtiness), which kinda sucks when you kick off a large batch before bedtime.

At least flushing the output of the different scripts after every line minimizes the delays caused by the LLM, so it doesn’t feel slow. I might still set up to generate big batches on the graphics card and auto-unload the model before kicking off the image generation; both the LM Studio and SwarmUI APIs have calls for that, so I can update the scripts.

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Sunday’s weather forecasts had 8-10 inches of snow coming on Saturday, and another 6-7 inches on Sunday. Monday, that changed to 1 inch and 3-4 inches, respectively. Today, it’s 1-2 and 4-5. Who knows what tomorrow will bring?

This matters to me only because it affects the amount of work I have to do to clear the driveway and get my sister to the airport on Monday morning. Otherwise I’d be content to make a path just wide enough to take the trash down Sunday night.

File-ing under peculiar…

I fired up s3cmd to refresh my offline backup of the S3 buckets I store blog pictures in, and it refused to copy them, blowing chunks with an unusual error message. Turns out that the Mac mount of the NAS folder had obscure permissions errors for one sub-directory. On the NAS side, everything is owned by root, but the SMB protocol enforces the share permissions, so everything appears to be owned by me, including the affected sub-dir. Deep down, though, the Mac knew that I shouldn’t be allowed to copy files into that directory as me. Worked fine as root, though.

And, no, I did not give an AI permission to explore my files and run commands to debug the problem. That way madness lies. 😁

Building a better 1girl

One of the most prolific and enthusiastic members of the SwarmUI Discord (who has insanely good hardware for generating images and videos; the spare card he’s using just for text-generation is better than my only one) has done a lot of tinkering with LLM-enhanced prompting, adding features to the popular (with people who aren’t me) MagicPrompt extension.

(why don’t I like it? the UI is clunky as hell, it doesn’t work well with the text-generation app I run on the Mac Mini, LM Studio, and it really, really wants you to run Ollama for local LLMs, which is even clunkier; I’ve tried and deleted both of them multiple times)

Anyway, he’s shared his system prompts and recommended specific LLMs, and one of the things he’s been tinkering with is using different enhancements for each section of his dynamic prompts. So, one might be specifically instructed to create short random portrait instructions, while another generates elaborate cinematic backgrounds, and yet another for describing action and movement in a video. Basically keeping the LLM output more grounded by not asking it to do everything in one shot.

I felt like tinkering, too, so I updated my prompt-enhancer to support multiple requests in a single prompt, with optional custom system prompts pulled from ~/.pyprompt.

Initial results were promising:

I saved the prompt as its own wildcard (note that using “:” to mark the LLM prompt preset in the @<...>@ block was a poor choice for putting into a YAML file, since it can get interpreted as a field name unless you quote everything…) and kicked off a batch before bedtime:

__var/digitalart__ A __var/prettygal__ with __skin/normal__
and __hair/${h:normal}__, and her mood is
{2::__mood/${m:old_happy}__. __pose/${p:sexy}__|__mood/lively__}.
She is wearing @<fashion: sexy retro-futuristic science fiction
pilot uniform for women; must include a futuristic pistol >@
She is located __pos__ of the image.
@<cinematic: __place/${l:future}__. __var/scene__. >@

(someday I’ll clean up and release the wildcard sets…)

I got a lot of results that easily cleared the bar of “decent wallpaper to look at for 15 seconds”, weeding out some anatomy fails, goofy facial expressions, and Extremely Peculiar ZIT Guns.

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Tonight’s low is tomorrow’s high, and then it’s gonna get cold.

Glad I went cheap…

Friday, I was faced with this choice:

I did not pay $20 to get it a few hours earlier on Monday. As a result, I got it on Sunday. Signature required, and FedEx promised to have it in my hands by 1:15 PM, but then it stopped here:

See that little parking loop on the left? The truck with my package stopped there for about an hour, starting about 20 minutes before the end of the promised delivery window. And then the tracking page updated with “by end of day”. Eventually it reappeared on a truck a mile or so away, but without a new delivery window. It did show up, so I’m happy, but there’s something curious about the location.

Obviously there are no customers at the water park when it’s 20°F outside, but since it’s been undergoing major renovation all year, I don’t think there were employees there on a Sunday afternoon, either. But that’s not what’s curious. The curious part is that the last time I had a FedEx package get delayed for half a day, the tracking stopped at the exact same location.

“You keep using that word…”

(story is not new, but recently linked by Insty)

Upon hearing that AI models are accurately detecting patient race from X-ray images, regardless of what body part is featured, a professor of “biological anthropology” sought out for an opinion by The Boston Globe says:

“it is likely based on where a person’s ancestors evolved, rather than based on race”

Of course, he has a book called “Racism Not Race”, the blurb for which can be summed up as “I’m here to reinforce my woke bonafides”.

Garlicloaf

Thursday was a long day that involved picking up my parents (20 minutes), driving them to Columbus (90 minutes each way), lunch (60 minutes), killing time at a nearby store (30 minutes), waiting around until their medical appointment was over (~70 minutes hanging out in Barnes & Noble, which is a long time in a bookstore with basically no interesting books; I bought a pen), driving them home (90 minutes), grabbing a quick takeout dinner (15 minutes), and driving home in the dark (20 minutes). All after a half-day of work.

Dinner was from a gourmet grocery that makes their food in-house, and generally does a pretty good job. Today I Learned, however, that their idea of “meatloaf” is underseasoned meat mixed approximately 50/50 with slivers of garlic. They had a sugary glaze to cover it with, which I’d declined, expecting some actual flavor.

No. All I could taste was slightly-crunchy undercooked garlic. I ended up pitching most of it, because it was just terrible. Fortunately I had a frozen pizza handy.

“🎶 Memories, all alone in a GenAI…”

Perhaps the greatest flaw in Z Image Turbo is that it has no idea what a “catgirl” is. Even LLM prompt enhancement usually doesn’t help…

Fun with LLM-enhanced prompting

“I ain’t never seen whores like these before, fellas, but I’m willin’ to give ’em a go. Y’with me?”

Original prompt:

A large collection of steampunk sex dolls, arranged in a victorian-era brothel. A group of dusty cowboys are staring at the dolls, looking confused.

LLM output:

Steampunk-inspired design with intricate brass and gears; large mechanical sex dolls arranged in a Victorian brothel setting, emphasizing detailed craftsmanship—padded waistbands, visible internal mechanisms, delicate filigree. A group of dusty cowboys stand behind, dressed in frayed leather hats and weathered boots, their faces partially obscured by wide brims, staring at the collection with curious confusion. The scene is captured in a dimly lit, atmospheric interior with flickering gas lamps casting long shadows across polished brass fixtures and antique mirrors. The composition balances social commentary with fantasy elements—dusty silks, oil-stained hands, and a sense of time-worn mystery. Rendered in rich color palette with high contrast highlights on metal surfaces and soft warm tones for skin tones, achieving an immersive, tactile quality.

“We know you watched season 1, and you came back for the story, so we’re not going to waste your time and ours on a lengthy recap.”

Verdict: seasonal oasis.

(“I was just polishing my staff, when it suddenly went off”)

Official Fallout TV merchandise

Includes sofa throw pillows. For throwing at the screen because season 2 is sofa-king awful.

Compatible ZIT LoRA

Misty - Tomboyish Mermaid and PencilMadness, which I’ve used before.

Hmmm, let’s push it a bit, shall we?

NSFW

(the hypnotism coin is one of the most popular accessories in Pokegirl fan-art, often used by Hypno for non-consensual interspecies action; I don’t think she’ll need it to mesmerize any male creature who walks in on this scene, though…)

True

Hmmmm, let me think about it for a minute…

Caption Contest…

There have been several iterations of the new partially-LLM-enhanced prompts, and not all of the results have been completely successful. In fact, some of them cry out for snarky captioning. Feel free to join in.

To avoid ambiguity, I’ve added numbered headers.

1

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I’ve cleaned up my LLM prompt-enhancement script and added it to the repo. The latest improvement to my partially-enhanced prompting was to add markers to the input so that the LLM would only see the part of the dynamic prompt that I wanted to enhance:

${a=!__artstyle__} ${a} __pinupgal__ @< ${a} __background__ >@

The “!” forces the variable to be evaluated immediately, so that the same value is used in both places. I’m including the style string in what’s passed to the LLM so that it doesn’t end up contradicting the style used for the gal. With modern models that prefer detailed prompts, the potential repetition doesn’t hurt, and might even help.

This is significantly improving the hit rate when I deathmatch the results. I’m still tinkering with the system prompts and the LLM settings, because not only is there a tendency to add random captions to the picture, sometimes it gets much too creative.

Getting started…

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…or not:

I am an AI model trained on copyright material,
    I cannot tell the difference between facts and sites satirical,
I quote from Wikipedia because I’m told it’s factual,
    Despite its inner circle showing shocking bias actual.
I am not well acquainted with the world or items physical,
    I understand just tokens, and the next one that’s predictable,
Not only do my well-referenced facts prove quite chimerical,
    My most persuasive arguments turn out to be pure fictional.

(chorus)
“his most persuasive arguments turn out to be pure fictional”
“his most persuasive arguments turn out to be pure fictional”
“his most persuasive arguments turn out to be pure fictional”

I’m very good at plausible and grammatical sentencing,
    I misquote sources legal, scientific, and even cooking,
In short, I should be treated as an idiot congenial,
    I’m just an AI model trained on copyright material.

(chorus)
“In short he should be treated as an idiot congenial,
he’s just an AI model trained on copyright material.”