Bobs Studio is the generation tool I wanted to be using, so I built it rather than keep working around the ones that existed. A frameless desktop client with a fluid panel-docking workspace, my own GPU doing local inference on one side and cloud APIs for frontier models on the other.
The native inference engine
The native engine speaks twenty-plus model architectures across image and video, in every checkpoint format the ecosystem actually uses (including quantized weights for cards that don't have datacenter VRAM). GPU work runs in its own isolated process and streams live latent previews back while it renders, and the app bootstraps its own Python environment on first launch because nobody should have to install CUDA by hand - me included, which is roughly why this app exists.
Built for daily production work
Distilled models get detected automatically and their constraints enforced, so one wrong slider can't silently torch a generation. Long jobs interrupt cleanly in the middle of a step instead of forcing you to wait them out, and there's a hires-fix pipeline that does tiled upscale-and-refine without seams, and the same workspace drives a Discord bot relay because the community I built still likes generating together.
This is also the machine behind the Studio on this site - everything there was generated and upscaled through this app, on checkpoints I trained.