Real-ESRGAN v0.3.0 Release Note

🚀 Long time no see ☄️

✨ Highlights

✅ add realesr-general-x4v3 and realesr-general-wdn-x4v3. They are very tiny models for general scenes, and they may more robust. But as they are tiny models, their performance may be limited.
✅ support denoise strength for realesr-general-x4v3. You can use the -dn option to adjust the denising strength. Denoise strength. 0 for weak denoise (keep noise), 1 for strong denoise ability. Only used for the realesr-general-x4v3 model.
✅ update inference_video: support auto download. You do not need to download models explicitly. If the models are not download, they will be downloaded automatically.

✅ support ffmpeg stream for inference_realesrgan_video
✅ fix colorspace bug & support multi-gpu and multi-processing
✅ Added GPU selection feature to python inference
✅ deal with flv format

📢📢📢

https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-general-x4v3.pth

https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-general-wdn-x4v3.pth

Real-ESRGAN V0.2.5.0 Release Note

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 and comparisons.

The models can be downloaded from realesr-animevideov3.

✅ We also update the ncnn.
Portable Windows / Linux / MacOS executable files for Intel/AMD/Nvidia GPU.

Real-ESRGAN V0.2.4.0 Release Note

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)
So I release a new version~

You can see it on ReadMe

Real-ESRGAN V0.2.3.0 Release Note

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

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

Now we have added two models.

Models	Scale	Description
RealESRGANv2-animevideo-xsx2	X2	Anime video model with XS size
RealESRGANv2-animevideo-xsx4	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

Real-ESRGAN V0.2.2.4 Release Note

See you again 😺

The major update: 🎉

• ✅ We add RealESRGAN_x4plus_anime_6B.pth, which is optimized for anime images with much smaller model size. More details and comparisons with waifu2x are in anime_model.md

Other updates:

• ✅ Support finetuning on your own data or paired data (i.e., finetuning ESRGAN). See here
• ✅ We add 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

Real-ESRGAN V0.2.2.3 Release Note

• 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

Real-ESRGAN V0.2.1 Release Note

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

File list:

• RealESRGAN_x2plus.pth

Real-ESRGAN V0.1.2 Release Note

This release is mainly for updating realesrgan-ncnn-vulkan executable files.

• We have added Linux/MacOS executable files

• We add back the tta option

• We add the function: when the destination folder does not exist, create it!

File list:

• realesrgan-ncnn-vulkan-20210801-windows.zip
• realesrgan-ncnn-vulkan-20210801-macos.zip
• realesrgan-ncnn-vulkan-20210801-ubuntu.zip

Real-ESRGAN V0.1.1 Release Note

This release is mainly for storing pre-trained models and executable files.

• RealESRGAN-ncnn-vulkan-20210725-windows.zip

• RealESRNet_x4plus.pth

• ESRGAN_SRx4_DF2KOST_official-ff704c30.pth

Note that: RealESRGAN_x4plus.pth can be found in https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth

Real-ESRGAN V0.1.0 Release Note

This release is mainly for storing pre-trained models and executable files.

1. RealESRGAN-ncnn-vulkan.zip
2. RealESRGAN_x4plus.pth