Realesrgan

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<img src="https://raw.githubusercontent.com/xinntao/Real-ESRGAN/master/assets/realesrgan_logo.png" height=150>
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The major update: 🎉

✅ We update the **RealESRGAN AnimeVideo-v3** model, which can achieve better results with a faster inference speed.
The improvements are:
- **better naturalness**
- **Fewer artifacts**
- **more faithful to the original colors**
- **better texture restoration**
- **better background restoration**

You can find more details in [anime video models](https://github.com/xinntao/Real-ESRGAN/blob/master/docs/anime_video_model.md) and [comparisons](https://github.com/xinntao/Real-ESRGAN/blob/master/docs/anime_comparisons.md).

The models can be downloaded from [realesr-animevideov3](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-animevideov3.pth).

✅ We also update the ncnn.
Portable [Windows](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesrgan-ncnn-vulkan-20220424-windows.zip) / [Linux](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesrgan-ncnn-vulkan-20220424-ubuntu.zip) / [MacOS](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesrgan-ncnn-vulkan-20220424-macos.zip) **executable files for Intel/AMD/Nvidia GPU**.

Have a nice day 😸 and happy everyday 😃

I am happy to add a simple logo to Real-ESRGAN 😋 (designed by myself! and inspired by the [4K logo](https://www.google.com/search?q=4k+logo))
So I release a new version~

You can see it on [ReadMe](https://github.com/xinntao/Real-ESRGAN)

<p align="center">
<img src="https://raw.githubusercontent.com/xinntao/Real-ESRGAN/master/assets/realesrgan_logo.png" height=150>
</p>

Long long time no see😺

We have added small models for **anime videos**: 🎉

You can find demos and usages in https://github.com/xinntao/Real-ESRGAN/blob/master/docs/anime_video_model.md


:white_check_mark: We add small models that are optimized for anime videos :-)

Now we have added two models.

| Models | Scale | Description |
| ---------------------------------------------------------------------------------------------------------------------------------- | :---- | :----------------------------- |
| [RealESRGANv2-animevideo-xsx2](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.3.0/RealESRGANv2-animevideo-xsx2.pth) | X2 | Anime video model with XS size |
| [RealESRGANv2-animevideo-xsx4](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.3.0/RealESRGANv2-animevideo-xsx4.pth) | X4 | Anime video model with XS size |

This release also contains the following files:

- RealESRGANv2-animevideo-xsx2.pth
- RealESRGANv2-animevideo-xsx4.pth
- realesrgan-ncnn-vulkan-20211212-windows.zip
- realesrgan-ncnn-vulkan-20211212-macos.zip
- realesrgan-ncnn-vulkan-20211212-ubuntu.zip

See you again 😺

**The major update**: :tada:

- :white_check_mark: We add [*RealESRGAN_x4plus_anime_6B.pth*](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth), which is optimized for **anime** images with much smaller model size. More details and comparisons with [waifu2x](https://github.com/nihui/waifu2x-ncnn-vulkan) are in [**anime_model.md**](https://github.com/xinntao/Real-ESRGAN/blob/master/docs/anime_model.md)

<p align="center">
<img src="https://raw.githubusercontent.com/xinntao/public-figures/master/Real-ESRGAN/cmp_realesrgan_anime_1.png">
</p>

**Other updates**:

- :white_check_mark: Support finetuning on your own data or paired data (*i.e.*, finetuning ESRGAN). See [here](https://github.com/xinntao/Real-ESRGAN/blob/master/Training.md#Finetune-Real-ESRGAN-on-your-own-dataset)
- :white_check_mark: We add [CONTRIBUTING.md](https://github.com/xinntao/Real-ESRGAN/blob/master/CONTRIBUTING.md). Welcome to your contributions 😃

This release also contains the following files:
- RealESRGAN_x4plus_anime_6B.pth
- RealESRGAN_x4plus_anime_6B_netD.pth
- realesrgan-ncnn-vulkan-20210901-windows.zip
- realesrgan-ncnn-vulkan-20210901-macos.zip
- realesrgan-ncnn-vulkan-20210901-ubuntu.zip

- Add `finetune_realesrgan_x4plus.yml`
- Add scripts for data preparation:
- `generate_multiscale_DF2K.py`
- `generate_meta_info.py`

File list:
- `RealESRGAN_x4plus_netD.pth`
- `RealESRGAN_x2plus_netD.pth`

- Support PyPI
- Support arbitrary scale with `--outscale`
- Add RealESRGAN_x2plus.pth model

File list:
- `RealESRGAN_x2plus.pth`