Mainly a coloring/filtering style based on Polaroid photos (with white frame cropped off as per request). At full weight it might be a bit undertrained so depending on how strong you want the Polaroid colors and haze effect be, simply adjust the LoRA strength up. The example images are generated at strength 1.25-1.5. Be aware that different checkpoints have different ways to apply weights from this LoRA - I got the best results with Photon.
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Thank you for this, has to be my most used LORA by now! And I don't really even do polaroid or photorealistic stuff, mainly combinatorial prompting, random parameters, glitchy weird stuff. Just keeping it on at 1 seems to make the outputs much more pleasant... I don't know what it is exactly, but it's kind of a magic sauce for my setup (:
Any chance you'd be willing to show the dataset for this? I haven't done training almost at all and seeing what kind of training data allows for something so functional to happen would be a great educational experience!
If not, that's understandable, just really curious. Keep up the good work!
Thanks for the nice comment! I've trained this one a while ago for a bounty, just trying to train something completely different, so glad you like it. Looks like I still have the training dataset so I will add it to the model and you can download it. It's basically Polaroid photos from some databank, cropped the white frame off and chose those that have the strongest effect. Also it's important to keep the photo subjects very variable to prevent the model learning the subject instead of the style. Hope it helps :)
@dolirama126 Oh wow, thanks a bunch! Yeah, I kind of expected there had to be a good variety, because it seems very versatile. Looking at the dataset, I do see a few elements there besides the style that might show in generations, but in a very non-obvious way. Obscured or partially obscured faces for example, I think that was something that initially drew my attention.
Very cool, this helps me understand this stuff a lot better. Thanks again! (:
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