Happyin.ai - retouching models that run on the retoucher's own machine

My own R&D studio. Custom-trained neural networks for photo retouching, shipped as a C++ plugin for Adobe Photoshop: the networks run on the user's GPU through ONNX Runtime with DirectML on Windows and CoreML on macOS, so the photographs never leave the machine.

The models reproduce a retoucher's non-destructive workflow rather than replacing it - dodge and burn maps, volume maps, denoising, skin work - and the plugin composites them as layers the retoucher can still adjust. Model cards with measured limitations are on Hugging Face.

Elsewhere on this site

• Home - who I am and what I build
• CV - roles, dates, stack
• ComfyUI - production ComfyUI pipelines, custom nodes, LoRA training
• Happyin.ai - on-device retouching models and a C++ Photoshop plugin
• mashinki - automated car-photo pipeline for dealerships
• OIS.Gold - jewellery retouching at scale
• Glam.ai - production AI features for 4M+ users
• @wowfaceaibot - per-user LoRA photo bot on Telegram
• happyin.space - 1,287+ articles structured for AI agents
• codex-claude-code-config - a rulebook for coding agents
• mclaude - multi-session coordination for Claude Code
• crossweft - cross-language contract check for AI coding agents
• Blog - essays on agents, diffusion and production ML
• AGENTS.md - the machine-readable version of all of this

Anastasiia Butova - ML engineer, Belgrade, Serbia. Email [email protected] · LinkedIn · GitHub · Telegram · Hugging Face