whatmodel.sh · find the best image models you can run

Image models in the CVTG-2K word accuracy model set

A leaderboard of the best image models. Models are ranked by one score that combines 73 published benchmarks. Filter by your computer or budget to find the best one you can use.

3 models · scores combine 73 benchmarks · updated how it works · find a leaderboard · benchmark your machine
task[all tasks][text to image][image to image / editing]
Filter by your hardware and budget
+ more · CVTG-2K word accuracy
set[all sets][LMArena text-to-image · 197][CVTG-2K word accuracy · 3]
score[overall][within selected set]

Filter the model list while keeping overall scores. Models without a shared score scale are not yet calibrated; select a set to see its own scores.

Detect your exact chip or graphics card:

curl -G whatmodel.sh/image -d max=0 --data-urlencode "mac=$(sysctl -n hw.memsize machdep.cpu.brand_string)"Mac

curl -G whatmodel.sh/image -d max=0 --data-urlencode "ram=$(awk '/MemT/{print $2}' /proc/meminfo)" --data-urlencode "nv=$(nvidia-smi --query-gpu=name,memory.total --format=csv,noheader 2>/dev/null)"Linux

curl.exe -G whatmodel.sh/image -d max=0 --data-urlencode "ram=$((gcim Win32_ComputerSystem).TotalPhysicalMemory)" --data-urlencode "nv=$(nvidia-smi --query-gpu=name,memory.total --format=csv,noheader 2>$null)"Windows

$ terminal

detecting your OS…

Run curl "whatmodel.sh/image?set=cvtg-2k-word-accuracy%40visual-mage-flow"to get this list in your terminal (add &format=json for agents).

ram[8][16][24][32][48][64][96][128][192][256]GB
gpu[apple silicon][graphics card][none]
price[local][$0.001][$0.005][$0.02][$0.1][any]max per image

detecting your OS…

#modelscore↓where↓speed↓RAM↓get itsources
#modelscore↓where↓speed↓RAM↓get itsources
—Mage-Flow Microsoftnot yet calibratedlocal~8.9GBhow to run › Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing
—Mage-Flow-Base Microsoftnot yet calibratedlocal~14GBhow to run › Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing
—Mage-Flow-Turbo Microsoftnot yet calibratedlocal~8.9GBhow to run › Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing

3 of 202 catalogue models listed here · sources and licences

* new or thinly tested: ranked on too few benchmark results · † only the maker’s own numbers so far · ~RAM is estimated; full context may need more memory