I’ve been building an open-source, local-first 3D generation tool recently, and it got me thinking about something: Do people actually want local 3D AI tools, or is cloud just the better option in practice? On paper, local sounds great: no API costs full control over models and pipeline privacy (no uploads) works offline But in reality, there are trade-offs: high VRAM requirements more setup complexity slower iteration depending on hardware harder to maintain/update Recently I’ve seen users generate some pretty interesting results locally on their own machines (the images below were all generated locally, not using any cloud service), which made me think: maybe local workflows are more viable than they seem? From what I’ve seen, most tools and workflows still lean heavily toward cloud solutions, even for fairly technical users. So I’m curious: What do you personally use for 3D AI workflows today? Mostly cloud tools? Local setups? Hybrid? And more importantly: Would you switch to local if performance/quality was good enough? I’m trying to understand whether “local-first 3D AI” is actually something people want, or if convenience still wins in most real-world cases. Would love to hear how people here are approaching it. If you are interest by this project : https://github.com/lightningpixel/modly submitted by /u/Lightnig125
Originally posted by u/Lightnig125 on r/ArtificialInteligence