Video2x - A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR.

Last update: Dec 31, 2022

Overview

Official Discussion Group (Telegram): https://t.me/video2x

A Discord server is also available. Please note that most developers are only on Telegram. If you join the Discord server, the developers might not be able to see your questions and help you. It is mostly for user-user interactions and those who do not want to use Telegram.

Download Stable/Beta Builds (Windows)

Full: full package comes pre-configured with all dependencies like FFmpeg and waifu2x-caffe.
Light: ligt package comes with only Video2X binaries and a template configuration file. The user will either have to run the setup script or install and configure dependencies themselves.

Go to the Quick Start section for usages.

Download From Mirror

In case you're unable to download the releases directly from GitHub, you can try downloading from the mirror site hosted by the author. Only releases will be updated in this directory, not nightly builds.

Download Nightly Builds (Windows)

You need to be logged into GitHub to be able to download GitHub Actions artifacts.

Nightly builds are built automatically every time a new commit is pushed to the master branch. The lates nightly build is always up-to-date with the latest version of the code, but is less stable and may contain bugs. Nightly builds are handled by GitHub's integrated CI/CD tool, GitHub Actions.

To download the latest nightly build, go to the GitHub Actions tab, enter the last run of workflow "Video2X Nightly Build, and download the artifacts generated from the run.

Docker Image

Video2X Docker images are available on Docker Hub for easy and rapid Video2X deployment on Linux and macOS. If you already have Docker installed, then only one command is needed to start upscaling a video. For more information on how to use Video2X's Docker image, please refer to the documentations.

Google Colab

You can use Video2X on Google Colab for free. Colab allows you too use a GPU on Google's Servers (Tesla K80, T4, P4, P100). Please bare in mind that Colab can only be provided for free if all users know that they shouldn't abuse it. A single free-tier tier session can last up to 12 hours. Please do not abuse the platform by creating sessions back-to-back and running upscaling 24/7. This might result in you getting banned.

Here is an example Notebook written by @Felixkruemel: Video2X_on_Colab.ipynb. This file can be used in combination of the following modified configuration file: @Felixkruemel's Video2X configuration for Google Colab.

Introduction

Video2X is a video/GIF/image upscaling software based on Waifu2X, Anime4K, SRMD and RealSR written in Python 3. It upscales videos, GIFs and images, restoring details from low-resolution inputs. Video2X also accepts GIF input to video output and video input to GIF output.

Currently, Video2X supports the following drivers (implementations of algorithms).

Waifu2X Caffe: Caffe implementation of waifu2x
Waifu2X Converter CPP: CPP implementation of waifu2x based on OpenCL and OpenCV
Waifu2X NCNN Vulkan: NCNN implementation of waifu2x based on Vulkan API
SRMD NCNN Vulkan: NCNN implementation of SRMD based on Vulkan API
RealSR NCNN Vulkan: NCNN implementation of RealSR based on Vulkan API
Anime4KCPP: CPP implementation of Anime4K

Video Upscaling

Upscale Comparison Demonstration

You can watch the whole demo video on YouTube: https://youtu.be/mGEfasQl2Zo

Clip is from trailer of animated movie "千と千尋の神隠し". Copyright belongs to "株式会社スタジオジブリ (STUDIO GHIBLI INC.)". Will delete immediately if use of clip is in violation of copyright.

GIF Upscaling

This original input GIF is 160x120 in size. This image is downsized and accelerated to 20 FPS from its original image.

Catfru original 160x120 GIF image

Below is what it looks like after getting upscaled to 640x480 (4x) using Video2X.

Catfru 4x upscaled GIF

Image Upscaling

Image upscaling example

Original image from [email protected], edited by K4YT3X.

All Demo Videos

Below is a list of all the demo videos available. The list is sorted from new to old.

Bad Apple!!
- YouTube: https://youtu.be/A81rW_FI3cw
- Bilibili: https://www.bilibili.com/video/BV16K411K7ue
The Pet Girl of Sakurasou 240P to 1080P 60FPS
- Original name: さくら荘のペットな彼女
- YouTube: https://youtu.be/M0vDI1HH2_Y
- Bilibili: https://www.bilibili.com/video/BV14k4y167KP/
Spirited Away (360P to 4K)
- Original name: 千と千尋の神隠し
- YouTube: https://youtu.be/mGEfasQl2Zo
- Bilibili: https://www.bilibili.com/video/BV1V5411471i/

Screenshots

Video2X GUI

Video2X GUI Screenshot

Video2X CLI

Video2X CLI Screenshot

Sample Videos

If you can't find a video clip to begin with, or if you want to see a before-after comparison, we have prepared some sample clips for you. The quick start guide down below will also be based on the name of the sample clips.

Sample Upscale Videos

Clip is from anime "さくら荘のペットな彼女". Copyright belongs to "株式会社アニプレックス (Aniplex Inc.)". Will delete immediately if use of clip is in violation of copyright.

Quick Start

Prerequisites

Before running Video2X, you'll need to ensure you have installed the drivers' external dependencies such as GPU drivers.

waifu2x-caffe
- GPU mode: Nvidia graphics card driver
- cuDNN mode: Nvidia CUDA and cuDNN
Other Drivers
- GPU driver if you want to use GPU for processing

Running Video2X (GUI)

The easiest way to run Video2X is to use the full build. Extract the full release zip file and you'll get these files.

Video2X release files

Simply double click on video2x_gui.exe to launch the GUI.

Video2X GUI main tab

Then, drag the videos you wish to upscale into the window and select the appropriate output path.

Drag and drop file into Video2X GUI

Tweak the settings if you want to, then hit the start button at the bottom and the upscale will start. Now you'll just have to wait for it to complete.

Video2X started processing input files

Running Video2X (CLI)

Basic Upscale Example

This example command below uses waifu2x-caffe to enlarge the video sample-input.mp4 two double its original size.

python video2x.py -i sample-input.mp4 -o sample-output.mp4 -r 2 -d waifu2x_caffe

Advanced Upscale Example

If you would like to tweak engine-specific settings, either specify the corresponding argument after --, or edit the corresponding field in the configuration file video2x.yaml. Command line arguments will overwrite default values in the config file.

This example below adds enables TTA for waifu2x-caffe.

python video2x.py -i sample-input.mp4 -o sample-output.mp4 -r 2 -d waifu2x_caffe -- --tta 1

To see a help page for driver-specific settings, use -d to select the driver and append -- --help as demonstrated below. This will print all driver-specific settings and descriptions.

python video2x.py -d waifu2x_caffe -- --help

Running Video2X (Docker)

Video2X can be deployed via Docker. The following command upscales the video sample_input.mp4 two times with Waifu2X NCNN Vulkan and outputs the upscaled video to sample_output.mp4. For more details on Video2X Docker image usages, please refer to the documentations.

docker run --rm -it --gpus all -v /dev/dri:/dev/dri -v $PWD:/host k4yt3x/video2x:4.6.0 -d waifu2x_ncnn_vulkan -r 2 -i sample_input.mp4 -o sample_output.mp4

Documentations

Video2X Wiki

You can find all detailed user-facing and developer-facing documentations in the Video2X Wiki. It covers everything from step-by-step instructions for beginners, to the code structure of this program for advanced users and developers. If this README page doesn't answer all your questions, the wiki page is where you should head to.

Step-By-Step Tutorial

For those who want a detailed walk-through of how to use Video2X, you can head to the Step-By-Step Tutorial wiki page. It includes almost every step you need to perform in order to enlarge your first video.

Run From Source Code

This wiki page contains all instructions for how you can run Video2X directly from Python source code.

Drivers

Go to the Drivers wiki page if you want to see a detailed description on the different types of drivers implemented by Video2X. This wiki page contains detailed difference between different drivers, and how to download and set each of them up for Video2X.

Q&A

If you have any questions, first try visiting our Q&A page to see if your question is answered there. If not, open an issue and we will respond to your questions ASAP. Alternatively, you can also join our Telegram discussion group and ask your questions there.

History

Are you interested in how the idea of Video2X was born? Do you want to know the stories and histories behind Video2X's development? Come into this page.

License

Licensed under the GNU General Public License Version 3 (GNU GPL v3) https://www.gnu.org/licenses/gpl-3.0.txt

Credits

This project relies on the following software and projects.

Special Thanks

Appreciations given to the following personnel who have contributed significantly to the project (specifically the technical perspective).

Related Projects

Dandere2x: A lossy video upscaler also built around waifu2x, but with video compression techniques to shorten the time needed to process a video.
Waifu2x-Extension-GUI: A similar project that focuses more and only on building a better graphical user interface. It is built using C++ and Qt5, and currently only supports the Windows platform.

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Comments

Upscaling taking too long

Hi! Im trying to upscale a video using video2x. running this: - python3 video2x-4.7.0/src/video2x.py -i ./test.mp4 -o ./upsized.mp4 -d realsr_ncnn_vulkan -h 512 -w 512 it says it will take aprox 26 hours to run.

its a 24 second long video 60 frame video, is this normal?.

Im running it on WSL, Ubuntu 22.04.1 LTS. Python -V : 3.10.6

These are my pc specs: GPU: Nvidia geforce RTX 3070 8GB VRAM Processor Intel(R) Core(TM) i9-10900KF CPU @ 3.70GHz 3.70 GHz Installed RAM 16.0 GB DDR4

I dont know if its taking full advantage of my graphics card, because i saw the GPU Cuda tab on the task manager very low. The CPU in the other hand was at 99% for the 2 hours i let the thing run, i cancelled because i thought 26 hours was just to long to have my computer make the upscaling...

Could you help me with this please?.

Regards

opened by fmPeretti 1
Can't I make a video with the backed up dump folder?

I did upscaling for the first time. I waited 17 hours and when I checked the final result, there was a problem. When I tried again, I had to wait another 17 hours.

I backed up all 71GB of upscale images before the Tump folder was deleted. Can't I make a video with the image I backed up? The original video is 8 minutes and 5 seconds long.

Please help me .

opened by CHANEL2 0

5.0.0-beta-6 is working, but I'm getting awful fps.

After tinkering with this thing for hours, getting docker and nvidia-docker2 set up, the thing finally appears to be running, with the following command:

sudo docker run -it --rm --privileged --gpus='all,"capabilities=compute,utility,graphics,display"' --env DISPLAY:$DISPLAY -v $PWD:/host ghcr.io/k4yt3x/video2x:5.0.0-beta6 -i input.mp4 -o output.mp4 -p1 upscale -h 720 -a waifu2x -n3

...but I'm getting a lousy frame rate, like between .17 and .56 fps. My laptop's 3070 is not engaging at all.

`(base) [email protected]:~/Archive/temp1$ sudo docker run -it --rm --privileged --gpus='all,"capabilities=compute,utility,graphics,display"' --env DISPLAY:$DISPLAY -v $PWD:/host ghcr.io/k4yt3x/video2x:5.0.0-beta6 -i rmvhsm.mp4 -o output.mp4 -p1 upscale -h 720 -a waifu2x -n3
22:39:54.057817 | INFO     | Video2X 5.0.0-beta6
22:39:54.057944 | INFO     | Copyright (C) 2018-2022 K4YT3X and contributors.
22:39:54.058000 | INFO     | Reading input video information
22:39:54.108182 | INFO     | Starting video decoder
22:39:54.110863 | INFO     | Starting video encoder
[0 Intel(R) UHD Graphics (TGL GT1)]  queueC=0[1]  queueG=0[1]  queueT=0[1]
[0 Intel(R) UHD Graphics (TGL GT1)]  bugsbn1=0  bugbilz=0  bugcopc=0  bugihfa=0
[0 Intel(R) UHD Graphics (TGL GT1)]  fp16-p/s/a=1/1/1  int8-p/s/a=1/1/1
[0 Intel(R) UHD Graphics (TGL GT1)]  subgroup=32  basic=1  vote=1  ballot=1  shuffle=1
[1 NVIDIA GeForce RTX 3070 Laptop GPU]  queueC=2[8]  queueG=0[16]  queueT=1[2]
[1 NVIDIA GeForce RTX 3070 Laptop GPU]  bugsbn1=0  bugbilz=0  bugcopc=0  bugihfa=0
[1 NVIDIA GeForce RTX 3070 Laptop GPU]  fp16-p/s/a=1/1/1  int8-p/s/a=1/1/1
[1 NVIDIA GeForce RTX 3070 Laptop GPU]  subgroup=32  basic=1  vote=1  ballot=1  shuffle=1
../src/intel/isl/isl.c:2105: FINISHME: ../src/intel/isl/isl.c:isl_surf_supports_ccs: CCS for 3D textures is disabled, but a workaround is available.
Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'rmvhsm.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf56.36.100
  Duration: 00:05:00.05, start: 0.000000, bitrate: 266 kb/s
    Stream #0:0(eng): Video: h264 (Constrained Baseline) (avc1 / 0x31637661), 
yuv420p, 768x432 [SAR 1:1 DAR 16:9], 207 kb/s, 25 fps, 25 tbr, 12800 tbn, 50 tbc
(default)
    Metadata:
      handler_name    : VideoHandler
    Stream #0:1(eng): Audio: aac (LC) (mp4a / 0x6134706D), 22050 Hz, stereo, 
fltp, 55 kb/s (default)
    Metadata:
      handler_name    : SoundHandler
Stream mapping:
  Stream #0:0 -> #0:0 (h264 (native) -> rawvideo (native))
Output #0, rawvideo, to 'pipe:1':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf58.29.100
    Stream #0:0(eng): Video: rawvideo (RGB[24] / 0x18424752), rgb24, 768x432 
[SAR 1:1 DAR 16:9], q=2-31, 199065 kb/s, 25 fps, 25 tbn, 25 tbc (default)
    Metadata:
      handler_name    : VideoHandler
      encoder         : Lavc58.54.100 rawvideo

Input #0, rawvideo, from 'pipe:0':
  Duration: N/A, start: 0.000000, bitrate: 552960 kb/s
    Stream #0:0: Video: rawvideo (RGB[24] / 0x18424752), rgb24, 1280x720, 552960
kb/s, 25 tbr, 25 tbn, 25 tbc
Input #1, mov,mp4,m4a,3gp,3g2,mj2, from 'rmvhsm.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf56.36.100
  Duration: 00:05:00.05, start: 0.000000, bitrate: 266 kb/s
    Stream #1:0(eng): Video: h264 (Constrained Baseline) (avc1 / 0x31637661), 
yuv420p, 768x432 [SAR 1:1 DAR 16:9], 207 kb/s, 25 fps, 25 tbr, 12800 tbn, 50 tbc
(default)
    Metadata:
      handler_name    : VideoHandler
    Stream #1:1(eng): Audio: aac (LC) (mp4a / 0x6134706D), 22050 Hz, stereo, 
fltp, 55 kb/s (default)
    Metadata:
      handler_name    : SoundHandler
Stream mapping:
  Stream #0:0 -> #0:0 (rawvideo (native) -> h264 (libx264))
  Stream #1:1 -> #0:1 (aac (native) -> aac (native))
[libx264 @ 0x559f0452a4c0] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 
AVX FMA3 BMI2 AVX2 AVX512
[libx264 @ 0x559f0452a4c0] profile High, level 5.0
[libx264 @ 0x559f0452a4c0] 264 - core 155 r2917 0a84d98 - H.264/MPEG-4 AVC codec
- Copyleft 2003-2018 - http://www.videolan.org/x264.html - options: cabac=1 
ref=16 deblock=1:0:0 analyse=0x3:0x133 me=umh subme=10 psy=1 psy_rd=1.00:0.00 
mixed_ref=1 me_range=24 chroma_me=1 trellis=2 8x8dct=1 cqm=0 deadzone=21,11 
fast_pskip=1 chroma_qp_offset=-2 threads=22 lookahead_threads=3 sliced_threads=0
nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=8 
b_pyramid=2 b_adapt=2 b_bias=0 direct=3 weightb=1 open_gop=0 weightp=2 
keyint=250 keyint_min=25 scenecut=40 intra_refresh=0 rc_lookahead=60 rc=crf 
mbtree=1 crf=17.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00
Output #0, mp4, to 'output.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    comment         : Processed with Video2X
    encoder         : Lavf58.29.100
    Stream #0:0: Video: h264 (libx264) (avc1 / 0x31637661), 
yuv420p(progressive), 1280x720, q=-1--1, 25 fps, 12800 tbn, 25 tbc
    Metadata:
      encoder         : Lavc58.54.100 libx264
    Side data:
      cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: -1
    Stream #0:1(eng): Audio: aac (LC) (mp4a / 0x6134706D), 22050 Hz, stereo, 
fltp, 128 kb/s (default)
    Metadata:
      handler_name    : SoundHandler
      encoder         : Lavc58.54.100 aac

Upscaling ━╸━━━━━━━━━━━━━━━━━━━━━━━━━   7% (546/7500) 0.56 FPS 0:16:22 < 3:27:42`

Any assistance would be appreciated. Thanks.

opened by jsly8672 0

Google Collab - "Expected Output File Does Not Exist"

Hi, I'm trying to use the provided Google Collab page to upscale a video. All the steps on the website are working fine, except the very last one which gives the "Expected output file does not exist" error ( see attached image).

I'm not a programmer so if anyone can give advice on how to fix this issue, I would be very grateful.

Link to the website: https://colab.research.google.com/github/pollinations/hive/blob/main/notebooks/7%20Video-To-Video/2%20Video2X.ipynb#scrollTo=AGiMH-UOKgRh

Error Screenshot:

Thanks

opened by Klimt1234 0

Releases(5.0.0-beta5)

5.0.0-beta5(Apr 1, 2022)
Added support for RealCUGAN ncnn Vulkan

Added pause function

Use the global hotkey Ctrl+Alt+V or send SIGUSR1 to the main process to pause

Fixed various problems with the progress bar

The container has also been patched so it will run fine on both AMD and NVIDIA GPUs. The required Docker arguments have changed for AMD GPUs. See the Wiki page for more information.
Source code(tar.gz)
Source code(zip)
5.0.0-beta4(Feb 19, 2022)
Enabled audio, subtitle, data, and attachment streams copying support

Fixed a bug in argument parsing

Source code(tar.gz)
Source code(zip)
5.0.0-beta3(Feb 15, 2022)
Changed the use of term "driver" to "algorithm" since the backend implementation is now mostly abstracted from the user.

The argument -d, --driver has been renamed to -a, --algorithm.

Source code(tar.gz)
Source code(zip)
5.0.0-beta2(Feb 15, 2022)
Fixed two memory usage issues in beta 1. It shouldn't blow your memory up in 30 seconds now.

Source code(tar.gz)
Source code(zip)
5.0.0-beta1(Feb 11, 2022)
⚠️ Known Issues

Errors in handling queued images results in abnormal memory consumption. The program will fill your RAM in a short time if you attempt to process a large video file. This issue has been fixed in 5.0.0-beta2.

Source code(tar.gz)
Source code(zip)
4.8.1(Dec 21, 2020)
Bug Fixes

Fixed Anime4KCPP driver import error

Rolled Gifski back to a version without output bugs

Checksums:

video2x-4.8.1-win32-light.zip

SHA-256: 9C746151CBFA432887759FB783C78A70ED273A6A4008C0BF030220FCD79D29BE

video2x-4.8.1-win32-full.zip

SHA-256: 45FCE1334762B6BF8190FE0603C8F16087BC225AFA2D87D1B472B98D4DB1C048

⚠️ Known Issues

Warning: Some users have reported that the software did not make it clear that the cache folder will be deleted after the upscale is completed. If you want to use a custom cache folder, make sure to use a designated folder with no other contents in it as the cache folder will be wiped after upscaling is done. A warning will be added into the GUI in the upcoming version.

Update

The light version has been taken off since some upstream changes broke the setup script.
Source code(tar.gz)
Source code(zip)
video2x-4.8.1-win32-full.zip(999.91 MB)
4.8.0(Dec 13, 2020)
New Features

Updated waifu2x-ncnn-vulkan arguments

Added custom frame format for waifu2x/srmd/realsr-ncnn-vulkan

Re-added mimetypes fallback for MIME type detection for if python-magic fails to detect the correct MIME types

Console subprocess.Popen outputs are now redirected to the error log instead of the console output

Bug Fixes

Fixed setup script FFmpeg invalid provider

Fixed GUI hwaccel value overwrite issue

Fixed 1.0 upscale ratio issues

Fixed setup script Gifski installation issues

Checksums:

video2x-4.8.0-win32-light.zip

SHA-256: C3E7C235CF2922266CA15AEB631C92849E3312B0A35BB700A4C310B4A93EE4D9

video2x-4.8.0-win32-full.zip

SHA-256: 80CD7D491BA96537A492C2E0931E3B34321006308A71142E4148376F7C90173B

Source code(tar.gz)
Source code(zip)
video2x-4.8.0-win32-full.zip(997.71 MB)
video2x-4.8.0-win32-light.zip(68.20 MB)
4.7.0(Sep 14, 2020)
New Features

Arbitrary scaling ratio support for all drivers

Arbitrary scaling resolution (width/height) support for all drivers

Allows only one of width/height to be specified and the other side will be calculated automatically according to the scaling ratio

Removed the use of shlex.join and := to make the program compatible with Python 3.6 and higher

Updated UI design for better visibility of the preview image

Redesigned logging system and error reporting system

Logs can now be saved optionally when the program runs into an error

If unspecified, logs will be deleted automatically upon normal exit of the program

Logs are now written to a tempfile.TemporaryFile object by default instead of a conventional log file

Various other improvements and code optimizations

Bug Fixes

Fixed waifu2x-caffe output quality option

Fixed Gifski output resolution issues

Other Notes

waifu2x-caffe has recently upgraded their CUDA Toolkit (11.0) and cuDNN (8.0.3) versions. This makes it incompatible with some of NVIDIA's older models of GPUs

To run the newest waifu2x-caffe (version 1.2.0.4 at the time of writing this note), your GPU must have a Compute Capability >= 3.5

Check this link for a list of NVIDIA's GPUs and their Compute Capabilities

Checksums:

video2x-4.7.0-win32-light.zip

SHA-256: 6D5A5BF9C3CCC7CFE3FED369D80BBD24C690336BFB3D43A8853E8D30485E68FE

video2x-4.7.0-win32-full.zip

SHA-256: 18104BE7FD5E355EA77F4DB10D2AD8A9DB60201FB736CF3E0B6E45043620B43C

Source code(tar.gz)
Source code(zip)
video2x-4.7.0-win32-full.zip(1005.81 MB)
video2x-4.7.0-win32-light.zip(131.20 MB)
4.6.1(Sep 1, 2020)
New Features

Updated all dependencies and components

Updated GUI and parser for the newest version of Anime4KCPP

Bug Fixes

Fixed path name encoding issues

Checksums:

video2x-4.6.1-win32-light.zip

SHA-256: D153D2E11F022D429CECBA303A7F64BF891AA92ABCD6268C2BE223B72E2EE75E

video2x-4.6.1-win32-full.zip

SHA-256: 6A1CE6808ED7D6E4B5E5DAB13E8C13ADA26AFB93D110D22A2C715715701BB1E7

Source code(tar.gz)
Source code(zip)
video2x-4.6.1-win32-full.zip(814.30 MB)
video2x-4.6.1-win32-light.zip(73.00 MB)
4.6.0(Jun 8, 2020)
In this release:

New Features

Anime4KCPP 2.0 support (new CNNMode)

Customizable output file extensions

Added disable logging check box in GUI

Various code optimizations and other improvements

Bug Fixes

Fixed GUI file-deletion-related bugs

Fixed more python-magic issues, backing off to mimetypes when python-magic fails

Fixed config loading issues in exe (frozen) mode

Fixed duplicate file name race condition issues

Docker and Linux

Added Ubuntu setup script

Dockerfile now uses Ubuntu setup script

Ubuntu setup script and Dockerfile now downloads waifu2x/srmd/realsr-ncnn-vulkan releases instead of compiling them

Fixed lots of other issues existed in the previous versions

Checksums:

video2x-4.6.0-win32-light.zip

SHA-256: 8D11B511FC46ACAB353343B5A67464178401D55D4A741B20C62AF199C9121147

video2x-4.6.0-win32-full.zip

SHA-256: E8D6E809219FC308A84ACF3D685AAD95AE9A5E57D212AB0E893ADE31C6FC4AD6

Source code(tar.gz)
Source code(zip)
video2x-4.6.0-win32-full.zip(494.55 MB)
video2x-4.6.0-win32-light.zip(73.21 MB)
4.5.0(Jun 5, 2020)
In this release:

Added log file system

Fixed python-magic-bin related issues

Fixed file list item deletion issues

Checksums:

video2x-4.5.0-win32-light.zip

SHA-256: AC99F519C32D943C895E107ACE9A00DF02B5BC76024FF10C3246A45FA0596A0E

video2x-4.5.0-win32-full.zip

SHA-256: 8D11B511FC46ACAB353343B5A67464178401D55D4A741B20C62AF199C9121147

Source code(tar.gz)
Source code(zip)
video2x-4.5.0-win32-full.zip(500.60 MB)
video2x-4.5.0-win32-light.zip(73.21 MB)
4.4.1(May 30, 2020)
In this release:

Updated the setup script for new waifu2x/srmd/realsr-ncnn-vulkan release structure

Updated waifu2x/srmd/realsr-ncnn-vulkan packages

More comments in the config file

Checksums:

video2x-4.4.1-win32-light.zip

SHA-256: A680385B1CA958A206B22D8AA947A3E5B33EA7FE15AD3C755ED4140AE361D8CA

video2x-4.4.1-win32-full.zip

SHA-256: 7ECAA400582169DCF81A69309A9A5B9BDB17D8411669711DE9F0278EF504A57B

Source code(tar.gz)
Source code(zip)
video2x-4.4.1-win32-full.zip(499.11 MB)
video2x-4.4.1-win32-light.zip(73.24 MB)
4.4.0(May 29, 2020)
Changes in this release:

Added support for RealSR NCNN Vulkan

Fixed Anime4KCPP multi-processing mishandling issues

Some other changes for the Linux platform

Checksums:

video2x-4.4.0-win32-light.zip

SHA-256: F9C70EDA8D87668A648D5CCC85BABACBD2B035A8546655B3AE2A7A8345BB3B49

video2x-4.4.0-win32-full.zip

SHA-256: 7222022D707FA29D6C99E1F0A083622C7B19CB679E0F628964EF744306DF431F

Source code(tar.gz)
Source code(zip)
video2x-4.4.0-win32-full.zip(503.69 MB)
video2x-4.4.0-win32-light.zip(73.22 MB)
4.3.0(May 23, 2020)
Changes in this release:

Using mimetypes as a backup method for mime type detection when python-magic fails

Added GUI shortcut keys

Added H264/H265 tune option

Requiring CLI input/output path to be specified when help is not specified

Some other minor tweaks and fixes

Checksums:

video2x-4.3.0-win32-light.zip

SHA-256: 4E130B7C50507FC4FAC8CDBF8EDE8BFE78AAFA420513CEE734D1C2B2EDBB0180

video2x-4.3.0-win32-full.zip

SHA-256: 58F7F3822A1F25C3A7A22570CA25010891700D25DDD1CAB3FA196F4D276F40A9

Source code(tar.gz)
Source code(zip)
video2x-4.3.0-win32-full.zip(447.34 MB)
video2x-4.3.0-win32-light.zip(73.26 MB)
4.2.0(May 18, 2020)
Changes in this release:

Added FFmpeg frame interpolation option (minterpolate)

Added stopping confirmation dialog

Changed default output pixel format to yuv420p for better compatibility

GUI component minor tweaks

Checksums:

video2x-4.2.0-win32-light.zip

SHA-256: A49043384C4C138C981A2C09F8EB174A6A15099DB42C355F4CF49CDB8BB3B0EB

video2x-4.2.0-win32-full.zip

SHA-256: AC5D19C7AE0069E8BF7CBA85C042E8F5C4E080BA997DCF98C24C497634115E87

Source code(tar.gz)
Source code(zip)
video2x-4.2.0-win32-full.zip(447.34 MB)
video2x-4.2.0-win32-light.zip(73.26 MB)
4.1.0(May 16, 2020)
Changes in this release:

Added FFmpeg settings in GUI

Added Gifski settings in GUI

Added FFprobe tool in GUI

Display upscaler version number in about page

Fixed setup script pyunpack PyInstaller bugs (or maybe not bugs)

Various bug fixes and enhancements. Check commit history for details

Checksums:

video2x-4.1.0-win32-light.zip

SHA-256: 67913323B456207F6B262ACD1CA764A07A8B7C58DACFFEC3E2E28224F442B82A

video2x-4.1.0-win32-full.zip

SHA-256: 73598F869C19F68185CDFC2743EE591BD2042E6F3CF107B17FDD44CAC6FBFE57

Source code(tar.gz)
Source code(zip)
video2x-4.1.0-win32-full.zip(443.35 MB)
video2x-4.1.0-win32-light.zip(73.26 MB)
4.0.0(May 11, 2020)
New features in 4.0.0 release as compared to the previous stable release:

Added internationalization support for CLI

Added language zh_CN (简体中文)

Language will change automatically according to system locale settings

Added support for Anime4KCPP in replacement for Anime4K (Java)

Driver-specific settings can now be specified in the command line by specifying them after a --

All driver-specific settings are parsed by the corresponding driver

Modularized driver wrappers in Video2X

Completely redesigned GUI

Added stop button (or actually making it do something)

Added time elapsed, time remaining and processing speed under progress bar

Added environment variable expansion for paths (e.g., %LOCALAPPDATA%\video2x)

Redesigned exception handling

Added soft interruption. setting self.stop_signal = True in Upscaler object stops execution

Added comments for all drivers in the config file

Added folder processing functionalities for GUI

Added drag and drop support

Upgraded input line edit to table view

Redesigned UI progress display

Other tweaks and minor bug fixes

Added drag and drop support

Upgraded input line edit to table view

Redesigned UI progress display

Other tweaks and minor bug fixes

Cleaned up some clutters in the code

New in this release compared to beta versions:

Frame preview

Output intermediate file if stream migration fails instead of losing all progress

More GUI options for waifu2x-converter-cpp

Better about and error dialogs

Redesigned driver argument parsing procedure that's more accurate

SRMD-NCNN-Vulkan and Waifu2X-NCNN-Vulkan native multi-threading support

Bug fixes for preview releases

Checksums:

video2x-4.0.0-win32-light.zip

SHA-256: 55D68C19A986CCC28E7D49888A0541914F6F00E203EE46D519CC7C28F6A0A3BC

video2x-4.0.0-win32-full.zip

SHA-256: 977AC9201A7C4BAA3A18E84AF3622E07A70A441C3821F8D7F361D1680F482E7B

Source code(tar.gz)
Source code(zip)
video2x-4.0.0-win32-full.zip(447.07 MB)
video2x-4.0.0-win32-light.zip(70.93 MB)
4.0.0-beta3(May 9, 2020)
New in this release:

Added drag and drop support

Upgraded input line edit to table view

Redesigned UI progress display

Other tweaks and minor bug fixes

Checksums:

video2x-4.0.0_beta3-win32-light.zip

SHA-256: 2D724B97CFB8DA4373347B6BE0E81A5346FC628F6F24E764952D1BC117800A5C

video2x-4.0.0_beta3-win32-full.zip

SHA-256: 20DEBE7442AE4BFC90D3711EB9D5342D03C8393B5B2668BE6F28B4F1617D91E7

Source code(tar.gz)
Source code(zip)
video2x-4.0.0_beta3-win32-full.zip(446.90 MB)
video2x-4.0.0_beta3-win32-light.zip(70.78 MB)
4.0.0-beta2(May 7, 2020)
Lots of improvements and bug fixes compared to the previous version.

Added stop button (or actually making it do something)

Added time elapsed, time remaining and processing speed under progress bar

Added environment variable expansion for paths (e.g., %LOCALAPPDATA%\video2x)

Redesigned exception handling

Added soft interruption. setting self.stop_signal = True in Upscaler object stops execution

Added comments for all drivers in the config file

Added folder processing functionalities for GUI

Checksums:

video2x-4.0.0_beta2-win32-light.zip

SHA-256: 0641CB40ADB2B0D13B6CEE8D289D44B3C190B5E73F98524203A454C8AFC14D2C

video2x-4.0.0_beta2-win32-full.zip

SHA-256: 3AA61A29DD2945C3F8B22CE0F1E4DEE668D2A2D7975BA9691F27E97E010FF180

Source code(tar.gz)
Source code(zip)
video2x-4.0.0_beta2-win32-full.zip(440.74 MB)
video2x-4.0.0_beta2-win32-light.zip(70.76 MB)
4.0.0-beta1(May 7, 2020)
This pre-release contains an experimental version of Video2X CLI 4.0.0 and GUI 2.0.0. Both the CLI and GUI are completely redesigned. This version is still in beta testing, and is yet stable.

Checksums:

video2x-4.0.0_beta1-win32-light.zip

SHA-256: 5391085E2D14A234A80E3953F0C3AE531FDC8917309BFC38BD8DBA42C342B088

video2x-4.0.0_beta1-win32-full.zip

SHA-256: C6A54C257DDAB4AB3766F01D5B35BCC29745DF779F033364D4D70A6BBCBC4DD4

Source code(tar.gz)
Source code(zip)
video2x-4.0.0_beta1-win32-full.zip(446.86 MB)
video2x-4.0.0_beta1-win32-light.zip(70.75 MB)
3.0.0(Feb 20, 2020)
The 3.0.0 release contains the newest version of the code after Linux compatibility has been added. For Windows users, this version resolves bugs such as temp directory cleaning issues and some logical errors that might trigger crashes.

Since the PE files are unsigned, it's recommended to do a checksum before executing anything.

Checksums:

video2x-3.0.0-win32-light.zip

SHA-256: E64CE16C657E8AD5CDCCE01360D669BF86A929DF52B90AAE743545BCD0BC7674

video2x-3.0.0-win32-full.zip

SHA-256: 8F17D3F8EC59C2CF9F70F89C12810E2AA741DBDC05ADCA1C85DD80C6C01ED3B8

Source code(tar.gz)
Source code(zip)
video2x-3.0.0-win32-full.zip(354.90 MB)
video2x-3.0.0-win32-light.zip(42.20 MB)
2.10.0(Sep 28, 2019)
This release contains version 2.10.0 of the base Video2X executable, and version 1.1.1 of Video2X GUI.

Checksums:

video2x-2.10.0-win32-light.zip

SHA224: 140750ed41b0e54e930ea0869fb604283a502b129923af81ededbdb0

Source code(tar.gz)
Source code(zip)
video2x-2.10.0-win32-light.zip(37.46 MB)
2.9.0(Aug 3, 2019)
This version includes the new Video2X GUI 1.0.0, with a number of enhancements (e.g. pathlib.Path instead of os.path).

Checksums:

video2x-2.9.0-win32-full.zip

SHA224: 7404619522f647f24a85fe313f22b220d3e49403f2aec9e330520f65

video2x-2.9.0-win32-light.zip

SHA224: 8be2ef31309beb75dcf676de69b3ac42e28ede6bbdda0e5e2ea4976b

Source code(tar.gz)
Source code(zip)
video2x-2.9.0-win32-full.zip(374.18 MB)
video2x-2.9.0-win32-light.zip(37.44 MB)
2.7.1(May 18, 2019)
This release addressed some bugs that existed in the previous version, where the most important one being that the FFmpeg arguments are not passed in the correct order.

Checksums:

video2x-2.7.1-win32-full.zip

SHA224: f771bf66d98e5869fade15dc3d8ebcfc68f6cc7f6160f97c47123058

MD5: 7efe61175ffce26ca4b81d99f77e4b15

video2x-2.7.1-win32-light.zip

SHA224: 8974fa2f400c690fd7088501a82c8580e7a69957219024a532cc9327

MD5: a7175c31eb1805c58523bc3eb610d2e8

Source code(tar.gz)
Source code(zip)
video2x-2.7.1-win32-full.zip(308.78 MB)
video2x-2.7.1-win32-light.zip(22.40 MB)
2.7.0(Mar 31, 2019)
This is the first release of Video2X in exe format. Files are packaged using pyinstaller 3.4 and Python 3.7.2. If you have any suggestions for the release format, please open a new issue to leave a comment.

The full package contains ffmpeg, waifu2x-caffe and waifu2x-converter-cpp. The configuration file is already configured for the environment. The light package only contains the basic video2x.exe and video2x_setup.exe. To setup dependencies, run the video2x_setup.exe.

Checksums:

video2x-2.7.0-win32-full.zip

SHA224: ccc9f55d27ddac482d6823b5737b21d1576b47149851b48a1a69f57e

MD5: 20620c557af208eb23583795b187d78e

video2x-2.7.0-win32-light.zip

SHA224: 5663932385db8734acdc2ebf6d6fb5b7e57c002b16d77b9c77458a3e

MD5: 91760658f717becfdf9e4759a533931f

Source code(tar.gz)
Source code(zip)
video2x-2.7.0-win32-full.zip(308.79 MB)
video2x-2.7.0-win32-light.zip(22.39 MB)

Owner

K4YT3X

所謂的正確之物會隨人們各自的意志而遷移無常。| The so-called correctness will change with people's will.

GitHub Repository https://video2x.org

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Video2x - A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR.

Related tags

Overview

Official Discussion Group (Telegram): https://t.me/video2x

Download Stable/Beta Builds (Windows)

Download Nightly Builds (Windows)

Introduction

Video Upscaling

GIF Upscaling

Image Upscaling

All Demo Videos

Screenshots

Video2X GUI

Video2X CLI

Sample Videos

Quick Start

Prerequisites

Running Video2X (GUI)

Running Video2X (CLI)

Basic Upscale Example

Advanced Upscale Example

Running Video2X (Docker)

Documentations

License

Credits

Special Thanks

Related Projects

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Comments

Releases(5.0.0-beta5)

5.0.0-beta5(Apr 1, 2022)

5.0.0-beta4(Feb 19, 2022)

5.0.0-beta3(Feb 15, 2022)

5.0.0-beta2(Feb 15, 2022)

5.0.0-beta1(Feb 11, 2022)

⚠️ Known Issues

4.8.1(Dec 21, 2020)

Bug Fixes

Checksums:

⚠️ Known Issues

Update

4.8.0(Dec 13, 2020)

New Features

Bug Fixes

Checksums:

4.7.0(Sep 14, 2020)

New Features

Bug Fixes

Other Notes

Checksums:

4.6.1(Sep 1, 2020)

New Features

Bug Fixes

Checksums:

4.6.0(Jun 8, 2020)

New Features

Bug Fixes

Docker and Linux

Checksums:

4.5.0(Jun 5, 2020)

Checksums:

4.4.1(May 30, 2020)

Checksums:

4.4.0(May 29, 2020)

Checksums:

4.3.0(May 23, 2020)

Checksums:

4.2.0(May 18, 2020)

Checksums:

4.1.0(May 16, 2020)

Checksums:

4.0.0(May 11, 2020)