Upscale anime, art, and video with stunning clarity-no code, just clicks
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Upscale anime, art, and video with stunning clarity-no code, just clicks

@the_ospsPost Author

Project Description

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Upscale Anime, Art, and Videos with Waifu2x-Extension-GUI

Ever stumbled upon a low-res anime screenshot or vintage artwork and wished you could magically enhance it? Or maybe you’ve got a grainy old video that deserves a crisp, modern makeover. Enter Waifu2x-Extension-GUI—a no-code, one-click solution for super-resolution and frame interpolation that leverages multiple state-of-the-art AI models.

This isn’t just another upscaler. It’s a Swiss Army knife for media enhancement, packing Waifu2x, Real-ESRGAN, RTX VSR, Anime4K, RIFE, and more under the hood. Best part? It’s free, open-source, and works on AMD, Nvidia, and Intel GPUs.

What It Does

Waifu2x-Extension-GUI lets you:

  • Upscale images, videos, and GIFs (2x–4x resolution)
  • Interpolate video frames (smoother motion)
  • Batch process files with customizable settings
  • Leverage multiple AI models (e.g., Real-CUGAN for anime, RealSR for real-world content)

No command-line tinkering required—just drag, drop, and let the AI work its magic.

Why It’s Cool

  1. All-in-One Tool: Combines 11+ upscaling and interpolation models in a single interface.
  2. Hardware Flexibility: Supports Nvidia RTX VSR, Intel iGPUs, and even AMD GPUs.
  3. Anime-Optimized: Models like Waifu2x and Real-CUGAN are fine-tuned for anime/art.
  4. Active Development: Frequent updates (latest beta: July 2025) and a thriving community (14.9k GitHub stars).

How to Try It

  1. Download the latest release here (Windows only).
  2. Run the GUI, load your media, and pick a model (e.g., Real-ESRGAN for photos, RIFE for frame interpolation).
  3. Export and marvel at the results.

Pro tip: Check the Samples folder to see before/after comparisons.

Final Thoughts

For devs, this is a goldmine of pretrained models wrapped in a user-friendly UI. For everyone else, it’s the easiest way to breathe new life into old media. The project’s Patreon (@aaronfeng) hints at its sustainability, and the MIT license means you can even hack on it yourself.

Got a pixelated passion project? Give it a spin.

Follow @githubprojects for more cool tools.

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Project ID: 1948949253297963063Last updated: July 26, 2025 at 03:31 AM