

PixelForge AI
PixelForge automates a two-stage image enhancement pipeline on Windows: AI upscaling followed by smart compression, run as a single batch job across entire folders.
Features
Properties
- Privacy focused
Features
- Dark Mode
- No Tracking
- Hardware Accelerated
- Batch Editing
- Ad-free
- Works Offline
- No registration required
- Batch processing
- Image Upscaling
- Image Optimizer
- AI-Powered
PixelForge AI News & Activities
Recent activities
- FST added PixelForge AI
- POX updated PixelForge AI
- FST added PixelForge AI as alternative to Upscayl, Topaz Gigapixel and Caesium Image Compressor
PixelForge AI information
What is PixelForge AI?
PixelForge automates a two-stage image enhancement pipeline on Windows: AI upscaling followed by smart compression, run as a single batch job across entire folders.
Instead of manually running an upscaler on each image and then a separate compressor, PixelForge queues folders and individual images, processes them through both stages automatically, and tracks progress with per-image counters, elapsed time, and ETA.
Key features:
- Three pipeline modes: Upscale + Compress, Upscale only, or Compress only
- 7 bundled AI models (Standard, Lite, Ultra Sharp, Remacri, UltraMix Balanced, Digital Art, High Fidelity) covering photography, illustration, and fast/low-VRAM use cases
- GPU-accelerated inference via Vulkan (NVIDIA, AMD, Intel), with automatic dedicated-GPU priority
- Input queue supporting multiple folders and hand-picked images in a single run, with recursive scanning and folder structure preservation
- Pause, resume, and cancel mid-batch
- Before/after comparison slider for reviewing results
- Custom output naming templates ({name}, {model}, {scale})
- Desktop notifications on batch completion
- 100% offline and private — no cloud, no accounts, no telemetry
PixelForge is an automation layer built on the open-source upscayl-ncnn engine (AGPL-3.0) and Caesium CLT (GPL-3.0), adding the batch queueing, GPU management, and pipeline orchestration neither tool provides on its own.






