Real-ESRGAN/docs/anime_video_model.md

Anime Video Models

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

Models	Scale	Description
RealESRGANv2-animevideo-xsx2	X2	Anime video model with XS size
RealESRGANv2-animevideo-xsx4	X4	Anime video model with XS size

• Anime Video Models
  • How to Use
    • PyTorch Inference
    • ncnn Executable File
      • Step 1: Use ffmpeg to extract frames from video
      • Step 2: Inference with Real-ESRGAN executable file
      • Step 3: Merge the enhanced frames back into a video
  • More Demos

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The following are some demos (best view in the full screen mode).

https://user-images.githubusercontent.com/17445847/145706977-98bc64a4-af27-481c-8abe-c475e15db7ff.MP4

https://user-images.githubusercontent.com/17445847/145707055-6a4b79cb-3d9d-477f-8610-c6be43797133.MP4

https://user-images.githubusercontent.com/17445847/145783523-f4553729-9f03-44a8-a7cc-782aadf67b50.MP4

How to Use

PyTorch Inference

# download model
wget https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.3.0/RealESRGANv2-animevideo-xsx2.pth -P experiments/pretrained_models
# inference
python inference_realesrgan_video.py -i inputs/video/onepiece_demo.mp4 -n RealESRGANv2-animevideo-xsx2 -s 2 -v -a --half --suffix outx2

ncnn Executable File

Step 1: Use ffmpeg to extract frames from video

ffmpeg -i onepiece_demo.mp4 -qscale:v 1 -qmin 1 -qmax 1 -vsync 0 tmp_frames/frame%08d.png

• Remember to create the folder tmp_frames ahead

Step 2: Inference with Real-ESRGAN executable file

1. Download the latest portable Windows / Linux / MacOS executable files for Intel/AMD/Nvidia GPU

2. Taking the Windows as example, run:

   ./realesrgan-ncnn-vulkan.exe -i tmp_frames -o out_frames -n RealESRGANv2-animevideo-xsx2 -s 2 -f jpg
   

   • Remember to create the folder out_frames ahead

Step 3: Merge the enhanced frames back into a video

1. First obtain fps from input videos by

   ffmpeg -i onepiece_demo.mp4
   

   Usage:
   -i                   input video path
   

   You will get the output similar to the following screenshot.

   

2. Merge frames

   ffmpeg -i out_frames/frame%08d.jpg -c:v libx264 -r 23.98 -pix_fmt yuv420p output.mp4
   

   Usage:
   -i                   input video path
   -c:v                 video encoder (usually we use libx264)
   -r                   fps, remember to modify it to meet your needs
   -pix_fmt             pixel format in video
   

   If you also want to copy audio from the input videos, run:

   ffmpeg -i out_frames/frame%08d.jpg -i onepiece_demo.mp4 -map 0:v:0 -map 1:a:0 -c:a copy -c:v libx264 -r 23.98 -pix_fmt yuv420p output_w_audio.mp4
   

   Usage:
   -i                   input video path, here we use two input streams
   -c:v                 video encoder (usually we use libx264)
   -r                   fps, remember to modify it to meet your needs
   -pix_fmt             pixel format in video
   

More Demos

• Input video for One Piece:

  https://user-images.githubusercontent.com/17445847/145706822-0e83d9c4-78ef-40ee-b2a4-d8b8c3692d17.mp4

• Out video for One Piece

  https://user-images.githubusercontent.com/17445847/145706827-384108c0-78f6-4aa7-9621-99d1aaf65682.mp4

More comparisons

https://user-images.githubusercontent.com/17445847/145707458-04a5e9b9-2edd-4d1f-b400-380a72e5f5e6.MP4