Render live
Strokes go up and frames come down over one WebSocket.
potocolom turns your canvas into finished images while you sketch. Run it on your own GPU for free, or let the cloud carry the weight.
Generation, upscaling, editing and the live loop run through the same job path, the same models and the same history, self-hosted or in the cloud.
Strokes go up and frames come down over one WebSocket.
Text to image. Pick a model and the controls come from its manifest, so a new model needs no frontend release.
Take a finished image up in size with Real-ESRGAN class weights. Fast tier by default, quality tier when it matters.
Image to image: feed a picture back in with a prompt and a strength, and keep the parts that already work.
Sketches become finished images in real time. A sample of work from the community - the kind of output the canvas produces.
Hover to pause. Click any prompt to copy it.
Credits meter GPU seconds transparently: drawing drains them live, generations cost a handful each. Beta pricing, subject to change before public launch - the waitlist hears first.
€9 per month
€24 per month
€59 per month
Talk to us
Every beta invite includes a one-time trial grant - no card needed to try.
The short version of how the studio, the hardware and the hosted service fit together.
An open source image studio built around a live drawing loop. You sketch and write a prompt; a diffusion model continuously re-renders the canvas. The same studio also handles generation, editing and upscaling.
No. The AGPL 3.0 repository contains the complete application. Run it with Docker Compose on a supported NVIDIA or AMD GPU, without an account or required phone-home. The paid cloud is the same product operated for you.
Models arrive through manifests that declare their controls, licenses and VRAM needs. The current Studio catalogue includes SDXL-based Stability AI models, realtime and fast variants, and Real-ESRGAN upscalers on NVIDIA or AMD hardware. The benchmark page publishes measured requirements and speeds.
Assets are private by default and served through short-lived signed links. Sharing is explicit, your data can be exported, and your work is not used to train models.
The cloud meters actual GPU time. Active drawing and GPU work consume credits; an idle canvas does not, and failed work refunds automatically. Beta invitations include a trial grant with no card required.
The cloud opens as an invite-only beta. Join the waitlist and you will hear exactly twice: at the self-host launch and when your invite is ready.
One address, one purpose, deletable on request.