
>Relative to lossless JXL filesize, how close in compression does a given lossless image codec get?
That's what I'm trying to answer here. A dozen common type 1920x1080 PNG images were used.
JXL KB = 100% and BMP KB = 0%. Lossless JXL/Webp/AVIF/oxiPNG/QOI tested. Anything above 100% means JXL was defeated.(BMP KB-JXL KB)=A | (BMP KB-Xcodec KB)/A= lossless compression relative to JXL losslesscjxl in.png out.jxl -d 0.0 -e 10 --brotli_effort=11 cwebp -lossless -m 6 -q 100 in.png -o out.webp avifenc -l -s 0 --cicp 1/13/16 in.png out.avif oxipng -o 6 in.png qoi "...\in.png" "...\out.qoi"
ALL files: https://files.catbox.moe/x926hp.zip
Discussion for the Codex page Technology Codex.
The Codex page is written by this board's curators, so other users cannot edit it. This thread is where everyone else talks about it: post a reply if you have a question, spotted something out of date, or want to suggest what to add.

>DDR5-6000 2x16GB (Average price in USD over last 18 months)
Source: https://pcpartpicker.com/trends/price/memory/#ram.ddr5.6000.2x16384
How long until prices go down?

Welcome to the Technology board!
For AI discussions please use the https://umigalaxy.com/explore/ai board

>uses an anode composite of silicon with a carbon matrix
>silicon anode alone swelled 300% during charging, cracked itself apart
>carbon matrix contain expansion better
>Si-C = ~1,000 charge/recharge cycles (potentially higher in the future)
>higher energy density, ~300 Wh/KG (potentially higher in the future)
>lower heat during charging (potential for faster charging)
https://www.androidauthority.com/samsung-first-phones-silicon-carbon-batteries-3689630/
https://phoneprice360.com/what-is-a-silicon-carbon-battery-phone-best-phones-using-it-in-2026/

I took the 73 Mbps 4K NLUUG Tears of Steel encode, scaled it to 720p, and used CRF 10 veryslow x264 to simulate 720p BD.
SSIM cheating was disabled in AV1 with tune 0 and variance boost, 720p was chosen to handicap AV1's 128x128 superblocks.
Even when nearly maxing out x264 compression , preset 4 AV1 = ~30% better compression and encodes ~40% faster as well.
I confidently declare that H.264 is now official boomer trash like flickering CRT displays.ffmpeg -i tearsofsteel_4k.mov ^ -vf "scale=1280:720:force_original_aspect_ratio=decrease,pad=1280:720:(ow-iw)/2:(oh-ih)/2:black" ^ -c:v libx264 -preset veryslow -crf 10 -pix_fmt yuv420p input.mp4base_av1=ffmpeg -i input.mp4 -c:v libsvtav1 -crf 28 -preset 4 -pix_fmt yuv420p10le -svtav1-params psy_av1=keyint=5s:lookahead=120:tune=0:enable-variance-boost=1:variance-boost-strength=3:variance-octile=4frame=17616 fps= 18 Lsize= 212825KiB bitrate=2375.4kbits/s speed=0.73x elapsed=0:16:45.14base_h264=ffmpeg -i input.mp4 -c:v libx264 -crf 18 -preset veryslow -pix_fmt yuv420phttps://ftp.nluug.nl/pub/graphics/blender/demo/movies/ToS/tearsofsteel_4k.movframe=17616 fps= 13 Lsize= 304524KiB bitrate=3399.0kbits/s speed=0.535x elapsed=0:22:51.14

I am 90% sure I have fixed my windows batch SSIM AV1 auto-encoder script.@echo off & setlocal enabledelayedexpansion & set "crf=60" & set "mincrf=20" set "base_av1=-c:v libsvtav1 -preset 4 -pix_fmt yuv420p10le -svtav1-params" set "psy_av1=keyint=5s:lookahead=120:tune=0:enable-variance-boost=1:variance-boost-strength=3:variance-octile=4" set "opus=-c:a libopus -b:a 128k" & set "ffquiet=-hide_banner -loglevel quiet" echo Weclome to my auto-SSIM AV1 encoder, only input.mp4 accepted, choose desired SSIM: echo 1= 0.995 (autism quality) & echo 2= 0.990 (very high quality) & echo 3= 0.980 (high quality) choice /c 123 /m "Enter number option on keyboard: " if errorlevel 3 set ssim_target=980 if errorlevel 2 set ssim_target=990 if errorlevel 1 set ssim_target=995 echo: :loop ffmpeg !ffquiet! -i input.mp4 -crf !crf! !base_av1! !psy_av1! !opus! -y AV1_CRF-!crf!.webm 2>nul for /f "delims=" %%A in ('ffmpeg -nostdin -r 30 -i AV1_CRF-!crf!.webm -nostdin -r 30 -i input.mp4 ^ -filter_complex "[0:v]format=yuv420p10le[v0];[1:v]format=yuv420p10le[v1];[v0][v1]ssim" -f null - 2^>^&1 ^| findstr "All:"') do set "a=%%A" set "a=!a:*All:0.=!" & set "ssim=!a:~0,3!" & echo SSIM: 0.!ssim! @ CRF !crf! & echo: if !ssim! lss !ssim_target! (if !crf! gtr !mincrf! (del /s /q AV1_CRF-!crf!.webm >nul 2>&1 & set /a crf-=2 & goto loop) ) :end for %%Y in ("input.mp4") do set /a kb_mp4=(%%~zY+1023)/1024 & for %%Y in ("AV1_CRF-!crf!.webm") do set /a kb_webm=(%%~zY+1023)/1024 set /a saved_pct=(kb_mp4-kb_webm)*100/kb_mp4 & echo MP4= !kb_mp4! KB & echo AV1= !kb_webm! KB echo **** !saved_pct!%% filesize reduction achieved with AV1 **** pause

OHIO umigalaxy
I noticed this place supports AV1, hope it's cool if I crosspost from 4chan's /g/ board. I present you a script that targets SSIM, only 1 input video file per folder though.1 problem: AV1 cheats in SSIM. It intelligently preserves the structure of video but destroys fine detail. However these disable SSIM cheating:@echo off & mkdir temp :loop set /p crf="CRF? (30-50 reccomended): " for %%f in (*.mkv, *.mp4, *.mov) do ( ffmpeg -i "%%f" -c:v libsvtav1 ^ -crf %crf% -preset 4 -pix_fmt yuv420p10le -svtav1-params ^ keyint=2s:lookahead=120:tune=0:enable-variance-boost=1:variance-boost-strength=3:variance-octile=4 ^ -c:a libopus -b:a 64k -y "%%f_CRF-%crf%_AV1.webm" echo: & echo SSIM result: ffmpeg -hide_banner -loglevel error -i "%%f" -c:v libx264 -pix_fmt yuv420p10le ^ -preset ultrafast -crf 0 -y temp/temp_source_2_10b.mkv ffmpeg -hide_banner -i "%%f_CRF-%crf%_AV1.webm" -i temp/temp_source_2_10b.mkv ^ -lavfi ssim -f null - 2>&1 | findstr "[Parsed_ssim" echo: ) goto looptune=0Prioritizes perceptual/visual qualityenable-variance-boost=1allocates more bits to low-contrast areas (such as skin, clouds, or foggy scenes) that typically suffer from blurring and artifacting in fixed-quantization encoding.variance-boost-strength=3Applies medium strength variance boost, enough to improve quality but not bloat bitrate.variance-octile=4Applies medium strength for the new 8x8 variance algorithm, which is used for adaptive quantization.
All of these not only give you better/accurate SSIM scores but allow AV1 to create subjectively medium to high quality AV1 encodes, not just compete in objective metric pissing contests.

I love birds but high res images of them tend to be pretty bloated and not ideal for sharing.
Noticed Webp uploads are allowed here and aren't further compressed, very nice. Nice step up from ancient JPG.
I don't know too much about quality except that high quality SSIM scores are above 0.95 so I'm aiming for 0.96.
'cwebp -sharp_yuv -m 6 -mt -pass 4 -hint photo -size 540000 in.jpg -o out.webp' size=in bytes not KB
https://commons.wikimedia.org/wiki/File:Great_Grey_Shrike_in_Bhigwan_August_2025_by_Tisha_Mukherjee_02.jpg

The Harpy eagle scares me. It's not just that it's talons exert ~500 PSI, enough to crush monkey skulls, but it has an oldly human shaped face.
https://commons.wikimedia.org/wiki/File:Harpy_Eagle_%287117520549%29.jpg

It's using Staxrip so not ffmpeg advanced but it does give you access to SVT-AV1-PSY + a few advanced options like maxing out frame lookahead, VQ tune used by default.

CRF 50 + preset 4 allowed AV1 to cram it into ~200 kbps and ~95 VMAF was achieved. I should warn that this is an unusual result, the sample is more of a slideshow than a video which is why it was able to compress it so well.
>>1335
There are some cracks forming on all this AI shit but it's hard to say if they'll amount to much in the next few years. As far as I can understand everyone is still high on FOMO gas despite the Leopold scandal.
https://www.newyorker.com/news/the-financial-page/what-does-the-humbling-of-leopold-aschenbrenner-mean-for-the-ai-bubble

0.99 SSIM is special because it's correlated with a CRF ~20 x264 encode, both objectively and subjectively rated as very high quality.
When AV1 was initially released it was only good for low to medium quality video encodes and not recommended for personal encodes.
To make things worse, AV1 uses tricks to cheat in SSIM but Tune 0 and variance boost unnoficially disable SSIM cheating.
>>650 (OP)
>I confidently declare that H.264 is now official boomer trash like flickering CRT displays.
When do you think we will see mass adoption? It's like H.264 refuses to die
>>652
I'm betting it's going to be this year. One of the main downsides to AV1 used to be that it took longer to encode vs H.264. Most people probably still think this is true. As for decoding probably like 90% of existing computers/laptops can now decode 1080p AV1 just fine.
Getting the word out to normalfags is going to be an uphill battle though.
>>640
Converted in/out video to .y4m and ran this:ffmpeg -r 30 -i output.y4m -r 30 -i input.y4m -lavfi ssim -f null -
Got:Script SSIM result is valid.[Parsed_ssim_0 @ 0000017f15ef1300] SSIM Y:0.991726 (20.822658) U:0.994994 (23.005166) V:0.994861 (22.890891) All:0.992793 (21.422383)

https://i.4cdn.org/wsg/1780247723462520.mp4SSIM: 0.990 @ CRF 48 MP4= 4528 KB AV1= 1630 KB **** 64% filesize reduction achieved with AV1 ****
>>644
Testing known problem MP4 giving me wrong SSIM result.
Converted in/out video to .y4m and ran this:ffmpeg -r 30 -i output.y4m -r 30 -i input.y4m -lavfi ssim -f null -
Got:Script SSIM result is valid.[Parsed_ssim_0 @ 000002521fe389c0] SSIM Y:0.988880 (19.538991) U:0.992380 (21.180455) V:0.992690 (21.360996) All:0.990098 (20.042968)

Sixth Dalit H264 encode: 1.1 Mbps for 942x720 30 fps https://i.4cdn.org/wsg/1777594847738622.mp4
Webm related 0.99 SSIM AV1 rip: 0.5 Mbps with CRF 60 + Preset 4 (~55% smaller)
>>277
On a side note, this anime sure made history lmao

>>278
Thanks and I've tried dozens of video encoders but I really favor Staxrip since it feels like a bridge between the simple Handbrake encoder and the full blown hacker ffmpeg method. It's also one of the few encoders out there that will let you toy with SVT-AV1-PSY which optimizes not just for quality metrics but subjective "that looks good" as well.
https://svt-av1-psy.com/
...
>>280
Hell yeah, no brakes on that wincest train, it would get buried under red tape if it was released today lol. Story was kind of meh though, which wasn't too shocking given how the game was made first.

I forgot to mention, the video tutorial also includes FFMetrics, a GUI that measures video quality. The most reliable one seems to be VMAF and the gist is that you want scores above 80. Chatgpt came up with picrel focusing on high quality scores only and mapping them to Amazon product review scores.