AI Upscaling Profiles
Switch between Natural Footage, Animation, and Restore profiles without manually rebuilding every setting from scratch.
A cinematic, local-first video upscaling workflow for creators who need sharper exports, cleaner restores, and faster quality checks before committing to a long render.
PixelForge AI Video Enhancer
Your footage stays on your own machine instead of being uploaded to a hosted render service.
Draggable before/after preview helps you check results before committing to a full pass.
Stage-by-stage processing estimates highlight the slowest parts of the pipeline up front.
Built-in GitHub release updates reduce friction after the initial install.
Inspired by premium video-tool landing pages, but positioned around this app's actual desktop workflow and feature set.
Switch between Natural Footage, Animation, and Restore profiles without manually rebuilding every setting from scratch.
Quick Preview, Balanced Workflow, and Max Detail presets make tradeoffs explicit instead of burying them inside obscure settings.
ETA guidance uses hardware detection and stage timing profiles so you can test with shorter clips before long exports.
The updater checks GitHub Releases, downloads the latest Windows build, and reduces manual maintenance after setup.
PixelForge AI is structured around practical production behavior: run a quick check first, inspect a compare view, then move into a cleaner pass once the settings are proven.
A straightforward desktop workflow built around reducing wasted processing time.
Load a source file, choose where the export should land, and define a short clip range when you want a quick validation pass.
Choose a speed profile and a content profile so the app sets sane defaults before you go deeper into advanced controls.
Use the compare preview and ETA panel to understand how the current settings affect quality, runtime, and the expensive stages.
Launch the full job once the settings are proven, then rely on local processing and bundled runtime assets to complete the export.
The repository ships a one-file Windows build, bundles the Real-ESRGAN runtime and models into the packaged workflow, and includes direct update support from GitHub Releases.
If you are coming from older builds, install v1.0.4 manually once first. After that, the in-app updater is intended to handle future updates.
Knight Logics builds local-first tools, practical desktop utilities, and automation systems around real operator workflows.