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現状、pytorch-CycleGAN-and-pix2pixも万能ではなく、SDXL+自作ControlNetの方が優秀ととれる場面もあった
一枚目が自作ControlNet、二枚目がpytorch-CycleGAN-and-pix2pix
これは線画から疑似3D画像に変換するタスク
@Jennestudios Hago fotos y dibujos tipo cuadro con inteligencia artificial, a base de oscilaciones (Mezcla de imágenes de un database y una alternativa modificada de cyclegan a la inversa + photoshop y capture one)
menciono a @Wolframico @Satan_ahr @escarabeeo
AdaIN-Switchable CycleGAN for Efficient Unsupervised Low-Dose CT Denoising. https://t.co/yfMO0wcT6t
i ran 3,000 panels each of CAD and Garfield through ganilla's cyclegan implementation, hoping to transfer each comic's style to the other
disappointingly, the results for cad2garfield were: desaturated colors, an attempt at shading, and gibberish WORDSWORDSWORDSWORDS
Warning: flashy things/strobing
This is 100 style samples from MUNIT (a multimodal version of something like CycleGAN). Lots of them are garbage but its really nice to have the selection!
Comparing overnight cycleGAN training before my morning coffee, can you tell my priorities?
(1) Digital collage generated with code
(2) GAN Output trained on 20th century still life paintings (Matisse, Cezanne)
(3) GAN Output trained on 48 of my own still life paintings
soulful tagine...
(that's from when i trained cycleGAN to draw faces on my stills)
A second series of AI generated nude portraits 🥩🎥
It's painting with warmer tones and better colours (imo), but still hasn't mastered the human form.
Working on other neural networks to post process these- I have some neat stuff planned with cycleGAN that should be done soon.