All 20 Dependencies
Every package clarity-upscaler depends on, ranked by repo health score.
Clarity AI Upscaler is an open-source AI image enhancement tool that brings commercial-grade upscaling within reach of developers, digital artists, and photographers. It wraps the AUTOMATIC1111 Stable Diffusion WebUI with an opinionated, GPU-accelerated pipeline combining ControlNet tile resampling, Tiled Diffusion, and custom LoRAs to deliver photorealistic detail at resolutions up to 13,000x13,000 pixels — matching or exceeding tools like Magnific at no cost.
The tool supports multiple deployment modes: as a Cog-packaged predictor for cloud platforms like Replicate, as a ComfyUI workflow node, as an AUTOMATIC1111 WebUI extension, or via the hosted API at ClarityAI.co. Flux-based upscaling (available through the hosted app only) extends the system to faces, text, and artistic content using Flux LoRAs. The open-source core remains focused on Stable Diffusion–based workflows.
Under the hood, Clarity AI decomposes large scale factors into multi-step 2x passes, progressively reducing denoising strength to avoid artifacts. Its seamless pattern upscaling algorithm uses a two-pass pixel-shift-and-inpaint method to eliminate tiling seams — a technique not found in standard upscaling tools. The handfix module uses MediaPipe hand detection to surgically crop, upscale, and reinsert hand regions, addressing one of diffusion upscaling's common failure modes.
