I’m making assets for a game, and I need strict pixel art, not that blurry mess. Most models can’t do real pixels—the scaling is all over the place, some tiles are 14 pixels, some are 16, nothing lines up. After digging into it, the problem is the VAE: models don’t generate pixel-by-pixel; they first output a low-res latent space about 1/8 the size of the final image, then the VAE reconstructs it, and that step destroys pixel consistency.
I’m now running Flux base with a custom-trained LoRA, using a dataset of 8x downscaled pixel art. The results look almost perfect after shrinking.
I heard there are models that skip the VAE entirely and work directly in pixel space, like Chroma1-Radiance, but it’s obscure and hard to find info on how to run it or train LoRAs for it. Anyone here trained a pixel LoRA on a pixel-space model, feeding the dataset raw without scaling?