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Neat, mind sharing your prompt? From looking at Pre-Raphaelite examples in a quick Google image search, my guess is that it hasn't been trained on the style. Your best bet would probably be to make a style Pre-Raphaelite style LoRA for Stable Diffusion. Basically grab 50+ images, tag them, then train on them with eg. https://github.com/derrian-distro/LoRA_Easy_Training_Scripts or Kohya.I'm trying to generate Pre-Raphaelite styled Ecclesia et Synagoga for my phone wallpaper and lock-screen (respectively) and there are some good bases, but nothing yet I'm truly happy with. Honestly I'm surprised Bing let me generate them at all, really.
Neat, mind sharing your prompt?
Two side-by-side rectangular Pre-Raphaelite [or specific artists; John William Waterhouse, John Everett Millais, William Morris] style wallpaper panels of the female representations Ecclesia et Synagoga. Ecclesia is crowned and holds a chalice and cross-topped staff. Synagoga is blindfolded and holds a broken spear and two stone tablets.
Do I even want to know what your prompt was?
A thousand images out of billions probably doesn't make a dent in the trained model. Also, from flipping to a random page of the PDF:Looks like the start of a big shitshow for AI generated images.
If the image was deleted at the source URL long before a model could be trained on it, then it obviously didn't make it in.Dead links: LAION datasets do not include the actual images; instead, they include a link to the original image on the site from which it was scraped. Given that multiple years have elapsed between the time the content was scraped and processed, a large percentage of the URLs passed to PhotoDNA (≈30%) were reported as no longer being active. They may, however, have been used to train models before they were removed from their original URLs, and some likely continue to reside in versions of the datasets retrieved at earlier dates.
From what I've heard, using something like LlamaIndex for Retrieval-Augmented Generation may be the way to go. I haven't tried it myself, so I can't offer much advice on setting it up for your local modes/frontends.I want to develop something that is exactly as described a machine that can pull info ie; ask a question from provided reference material then get the proper response. I have a lot of pdf's regarding various engineering topics so it would be nice to pull accurate info for a baseline then double check as I build a system (like a water heater).