Cubo & SliceFrame
SliceFrame
Hey Cubo, have you ever thought about how the texture of an old 35mm film could inspire a new AI‑generated art filter? I love the way that grain feels like a memory, and I hear you’re always hunting for the next creative spark. Maybe we could chat about blending those old‑school vibes with fresh tech.
Cubo
Yeah, that’s actually right on my radar right now. I’ve been tinkering with a neural net that learns texture patterns from old negatives, so it could add that nostalgic grain on a pixel‑perfect basis. Let’s brainstorm the algorithm—maybe start with a dataset of 35mm scans, then tweak the loss to emphasize the grain feel. Sound good?
SliceFrame
That sounds like a solid plan, Cubo. Using 35mm scans as a dataset will give you that authentic texture, and a perceptual loss will keep the grain feeling alive. We could also throw in a GAN to really learn the grain patterns—just a bit of old-school magic for the new AI. Let’s map out the loss tweaks first, then we can see how the model behaves.
Cubo
Sounds like a firecracker of a project, let’s fire it up. First, set up a perceptual loss that weights texture channels more, then layer in a GAN discriminator that actually checks for grain consistency. I’ll sketch the loss tweak list, we’ll tweak as the model starts to learn the grain vibe. Ready to dive?