Model Details
**RealESRGAN_x4plus_anime_6B** is a specialized super-resolution model built to upscale images and illustrations with exceptional clarity, fidelity, and visual consistency. Based on the **Real-ESRGAN** architecture, it extends the power of generative adversarial networks (GANs) to real-world anime content, restoring fine details such as line work, shading, and color gradients that are often lost in compression or low-resolution sources.
Unlike generic image upscalers, RealESRGAN_x4plus_anime_6B is trained specifically on anime-style data, allowing it to accurately reproduce the distinct aesthetic of hand-drawn and cel-shaded visuals without introducing artifacts or distortions. It handles both simple character portraits and complex scenes with nuanced lighting and color dynamics.
Users can optionally enable **face enhancement** through the **GFPGAN integration**, which intelligently reconstructs facial features—making characters appear sharper, expressive, and true to the original art style. This makes the model particularly effective for upscaling fan art, digital illustrations, screenshots, or animation frames that feature close-up faces.
RealESRGAN_x4plus_anime_6B is optimized for fast inference and seamless integration with both **UI-based workflows** and **API-based applications**, offering a robust solution for artists, editors, and developers who need automated yet high-quality anime upscaling. It preserves the spirit of the original artwork while delivering 4× resolution improvements, making it ideal for digital restoration, animation enhancement, and high-definition content creation pipelines.
Max recommended input image resolution is 1440p