Upscale images with super resolution
Use AI to upscale images with super resolution with an API
Модели в коллекции
Сортировка: по популярности (run_count)Practical face restoration algorithm for *old photos* or *AI-generated faces*
Real-ESRGAN with optional face correction and adjustable upscale
Robust face restoration algorithm for old photos / AI-generated faces
High resolution image Upscaler and Enhancer. Use at ClarityAI.co. A free Magnific alternative. Twitter/X: @philz1337x
GFPGAN aims at developing Practical Algorithms for Real-world Face and Object Restoration
Image Restoration Using Swin Transformer
3.5 Million Runs! AI Photorealistic Image Super-Resolution and Restoration
Real-ESRGAN: Real-World Blind Super-Resolution
Designed to make images sharper and cleaner, Crisp Upscale increases overall quality, making visuals suitable for web use or print-ready materials.
Professional-grade image upscaling, from Topaz Labs
A better alternative to SDXL refiners, providing a lot of quality and detail. Can also be used for inpainting or upscaling.
UPDATE: new upscaling algorithm for a much improved image quality. Fermat.app open-source implementation of an efficient ControlNet 1.1 tile for high-quality upscales. Increase the creativity to encourage hallucination.
Real-ESRGAN super-resolution model from ruDALL-E
High-precision image upscaler optimized for portraits, faces and products. One of the upscale modes powered by Clarity AI. X:https://x.com/philz1337x
Image Super-Resolution
Image 4x super-resolution
Upscale images 2x or 4x times
Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild. This version uses LLaVA-13b for captioning.
Ultimate SD Upscale with ControlNet Tile
✨DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
Upscale images with the latent diffusion superresolution model
Bria Increase resolution upscales the resolution of any image. It increases resolution using a dedicated upscaling method that preserves the original image content without regeneration.
SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution
Upscale Portrait Images with ControlNet Tile
(Academic and Non-commercial use only) Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization
🔥 SeedVR2: one-step video & image restoration with 3B/7B hot‑swap and optional color fix 🎬✨
AuraSR v2: Second-gen GAN-based Super-Resolution for real-world applications
Creative Upscale focuses on enhancing details and refining complex elements in the image. It doesn’t just increase resolution but adds depth by improving textures, fine details, and facial features.
Image to Image enhancer using DemoFusion
Stable Diffusion x4 upscaler model
Arbitrary-steps Image Super-resolution via Diffusion Inversion
Controlnet v1.1 - Tile Version
AuraSR: GAN-based Super-Resolution for real-world