The Lemmy Club

masterpiece, best quality, 1girl, smirk, closed eyes, black sunglasses, eyewear on head, yamada ryo, bocchi the rock!, photo background, standing, on railing, looking at viewer, beach in background, sea in background, dawn, blurry, black shirt, collared shirt, sleeves rolled up, blue bowtie, blue skirt, pleated skirt, pantyhose, cowboy shot, from side, hand on eyewear, dark,

Negative prompt: (lowres:1.2), (worst quality:1.4), (low quality:1.4), (bad anatomy:1.4), bad hands, multiple views, comic, jpeg artifacts, patreon logo, patreon username, web address, (signature:1.3), watermark, text, logo, (artist name:1.3), censored, 2d, realistic,

Steps: 28, CFG scale: 5, Sampler: Euler a, Seed: 989902078, Size: 1024x1024, Model: cocoIllustriousNoobai_v55, Version: f2.0.1v1.10.1-previous-634-g37301b22, Module 1: sdxl_vae, Mask blur: 4, Model hash: 9ecc815dfc, Inpaint area: Only masked, Schedule type: Automatic, Denoising strength: 0.4, Masked area padding: 32

Patrick Star-inspired gaming chair, centered on a dark background. The chair takes on a soft, rounded shape, mimicking Patrick’s plump and starfish-like form. It’s covered in a smooth, plush pink material with subtle darker pink spots scattered across the surface. The seat and backrest are slightly curved, designed for maximum comfort, resembling Patrick’s laid-back nature. The armrests are thick and rounded, shaped like Patrick’s stubby arms, extending outward in a relaxed manner. The base features five sturdy legs, colored in a vibrant green with a playful purple floral pattern, resembling his iconic swim trunks. The wheels are small, rounded, and slightly wobbly, giving the chair a fun, cartoonish personality. The overall atmosphere is cheerful, goofy, and perfectly suited for a gamer who embraces a carefree, fun-loving vibe.

Steps: 16, CFG scale: 1, Sampler: Euler, Seed: 334780932067191

After more than couple dozen hours of trying, here are the main takeaways:

1. I found a couple requests sent by my phone with my precise location + 5 requests that leak my IP address, which can be turned into geolocation using reverse DNS.
2. Learned a lot about the RTB (real-time bidding) auctions and OpenRTB protocol and was shocked by the amount and types of data sent with the bids to ad exchanges.
3. Gave up on the idea to buy my location data from a data broker or a tracking service, because I don't have a big enough company to take a trial or $10-50k to buy a huge database with the data of millions of people + me. Well maybe I do, but such expense seems a bit irrational. Turns out that EU-based peoples` data is almost the most expensive.

But still, I know my location data was collected and I know where to buy it!