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FLUX.2 Styles

93 art styles compared on the same scenes with FLUX.2

Artificial Intelligence
Tech
Computers
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Hunted byAnthony ClicherouxAnthony Clicheroux

93 art styles, from watercolor to voxel art, rendered with FLUX.2 [klein] on the same six scenes and one seed: 564 images side by side, to see what "ukiyo-e" or "low poly" really does to afox, a lighthouse or a city square. Each style comes with the exact sentence that produced it, one click to copy. About half of the style names are ignored by the model when used as a word;describing the technique works, and those sentences are the result. Free, no account.

Top comment

Hi Product Hunt. I wanted to know what its style words really do with FLUX.2 [klein], so I rendered 93 styles on the same six scenes with one seed and put the 564 images on one page. The surprise: roughly half of the style names did nothing on their own. "Pop art", "ukiyo-e" or "cyberpunk" next to a 70-word scene description gave a tidy illustration with a slight colour cast. Describing the technique instead (materials, palette, texture, what to exclude) fixed most of them, and those sentences are on the page with a copy button. Materials like paper cut, crochet or stained glass work first try; pixel art and double exposure never did. The whole method, the blind spots and a prompt you can paste are in this article: https://medium.com/@stablediffus... It all runs on a single 16 GB card, 4 steps, about nine seconds per image. Happy to answer anything about the setup, and to add styles you would like to see compared.

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About FLUX.2 Styles on Product Hunt

“93 art styles compared on the same scenes with FLUX.2”

FLUX.2 Styles was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #44 on the daily leaderboard. 93 art styles, from watercolor to voxel art, rendered with FLUX.2 [klein] on the same six scenes and one seed: 564 images side by side, to see what "ukiyo-e" or "low poly" really does to afox, a lighthouse or a city square. Each style comes with the exact sentence that produced it, one click to copy. About half of the style names are ignored by the model when used as a word;describing the technique works, and those sentences are the result. Free, no account.

FLUX.2 Styles was featured in Artificial Intelligence (481.6k followers), Tech (635k followers) and Computers (2.4k followers) on Product Hunt. Together, these topics include over 302.1k products, making this a competitive space to launch in.

Who hunted FLUX.2 Styles?

FLUX.2 Styles was hunted by Anthony Clicheroux. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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