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

Best image editing models to run locally

A leaderboard of the best image editing models you can run on your own computer. Qwen-Image-2.1 is #1 right now, followed by HunyuanImage 3.0-Instruct and Qwen-Image-Edit-2509. Models are ranked on human votes and image editing tests. Each model shows the download that fits and the command to run it.

23 models · scores combine 15 benchmarks · updated how it works · find a leaderboard · benchmark your machine
task[all tasks][text to image][image to image / editing]

Scores use reviewed image to image / editing evaluations only. Compare scores within this task. Models without task measurements are excluded.

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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?max=0"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][$0.002][$0.005][$0.01][$0.02][$0.05][$0.1][any]max per image

detecting your OS…

Score vs memory to run

#modeltask score↓where↓speed↓RAM↓get itsources
#modeltask score↓where↓speed↓RAM↓get itsources
15Qwen-Image-2.1 Alibaba66±3*local~12GBhow to run › LMArena leaderboard dataset
25HunyuanImage 3.0-Instruct Tencent58±3*local~203GBhow to run › LMArena leaderboard dataset
36Qwen-Image-Edit-2509 Alibaba51±3local~26GBhow to run › Meituan LongCat — LongCat-Image technical reportGEditBench v2: A Human-Aligned Benchmark for General Image EditingBAAI — OmniGen2 technical report
38Qwen-Image-Edit-2511 Alibaba51±2local~37GBhow to run › Edit-Compass & EditReward-Compass: A Unified Benchmark for Image Editing and Reward ModelingLMArena leaderboard datasetGEditBench v2: A Human-Aligned Benchmark for General Image EditingMultiTextEdit: Benchmarking Cross-Lingual Degradation in Text-in-Image Editing (arXiv:2605.08163v2), Table 3
39FLUX.2 [klein] 9B Black Forest Labs51±3*local~11GBhow to run › LMArena leaderboard datasetGEditBench v2: A Human-Aligned Benchmark for General Image Editing
41LongCat-Image-Edit Meituan50±2local~36GBhow to run › Edit-Compass & EditReward-Compass: A Unified Benchmark for Image Editing and Reward ModelingMeituan LongCat — LongCat-Image technical reportGEditBench v2: A Human-Aligned Benchmark for General Image Editing
47Qwen-Image-Edit Alibaba49±2local~27GBhow to run › Meituan LongCat — LongCat-Image technical reportLMArena leaderboard datasetGEditBench v2: A Human-Aligned Benchmark for General Image EditingUnicEdit-10M: A Dataset and Benchmark Breaking the Scale-Quality Barrier via Unified Verification for Reasoning-Enriched EditsGEBench: Benchmarking Image Generation Models as GUI EnvironmentsMultiTextEdit: Benchmarking Cross-Lingual Degradation in Text-in-Image Editing (arXiv:2605.08163v2), Table 3
48FLUX.2 [dev] Black Forest Labs49±2local~20GBhow to run › Edit-Compass & EditReward-Compass: A Unified Benchmark for Image Editing and Reward ModelingLMArena leaderboard datasetGEditBench v2: A Human-Aligned Benchmark for General Image Editing
51FLUX.2 [klein] 4B Black Forest Labs47±3*local~2.9GBhow to run › LMArena leaderboard datasetGEditBench v2: A Human-Aligned Benchmark for General Image Editing
52GLM-Image Z.ai47±6*local~39GBhow to run › GEditBench v2: A Human-Aligned Benchmark for General Image Editing
54Step1X-Edit v1.2 StepFun46±2local~51GBhow to run › Edit-Compass & EditReward-Compass: A Unified Benchmark for Image Editing and Reward Modelingstepfun-ai/Step1X-Edit-v1p2 model cardGEditBench v2: A Human-Aligned Benchmark for General Image EditingCREval: An Automated Interpretable Evaluation for Creative Image Manipulation under Complex Instructions (arXiv:2603.26174v1)
56Qwen-Image Alibaba46±5*local~13GBhow to run › ServImage: An Image Generation and Editing Benchmark from Real-world Commercial Imaging Services (arXiv:2604.24023v2)
62Step1X-Edit v1.1 StepFun39±4local~51GBhow to run › stepfun-ai/Step1X-Edit-v1p2 model cardUnicEdit-10M: A Dataset and Benchmark Breaking the Scale-Quality Barrier via Unified Verification for Reasoning-Enriched Edits
65FLUX.1 Kontext [dev] Black Forest Labs36±2local~21GBhow to run › Meituan LongCat — LongCat-Image technical reportLMArena leaderboard datasetEdit-Compass & EditReward-Compass: A Unified Benchmark for Image Editing and Reward ModelingUnicEdit-10M: A Dataset and Benchmark Breaking the Scale-Quality Barrier via Unified Verification for Reasoning-Enriched EditsGEditBench v2: A Human-Aligned Benchmark for General Image EditingCREval: An Automated Interpretable Evaluation for Creative Image Manipulation under Complex Instructions (arXiv:2603.26174v1)+2
67ChronoEdit-14B NVIDIA34±3*local~34GBhow to run › Edit-Compass & EditReward-Compass: A Unified Benchmark for Image Editing and Reward Modeling
69OmniGen2 BAAI34±2local~17GBhow to run › Edit-Compass & EditReward-Compass: A Unified Benchmark for Image Editing and Reward ModelingUnicEdit-10M: A Dataset and Benchmark Breaking the Scale-Quality Barrier via Unified Verification for Reasoning-Enriched EditsGEditBench v2: A Human-Aligned Benchmark for General Image EditingCREval: An Automated Interpretable Evaluation for Creative Image Manipulation under Complex Instructions (arXiv:2603.26174v1)BAAI — OmniGen2 technical reportMultiTextEdit: Benchmarking Cross-Lingual Degradation in Text-in-Image Editing (arXiv:2605.08163v2), Table 3+1
70BAGEL ByteDance Seed33±2local~12GBhow to run › LMArena leaderboard datasetEdit-Compass & EditReward-Compass: A Unified Benchmark for Image Editing and Reward ModelingUnicEdit-10M: A Dataset and Benchmark Breaking the Scale-Quality Barrier via Unified Verification for Reasoning-Enriched EditsGEditBench v2: A Human-Aligned Benchmark for General Image EditingCREval: An Automated Interpretable Evaluation for Creative Image Manipulation under Complex Instructions (arXiv:2603.26174v1)BAAI — OmniGen2 technical report+3
71Stable Diffusion 3.5 Large Stability AI33±7*local~5.4GBhow to run › ServImage: An Image Generation and Editing Benchmark from Real-world Commercial Imaging Services (arXiv:2604.24023v2)
72UNO ByteDance32±7*local~16GBhow to run › BAAI — OmniGen2 technical report
74OmniGen (v1) BAAI30±7*†local~9GBhow to run › BAAI — OmniGen2 technical report
78Lumina-DiMOO Alpha-VLLM (Shanghai AI Lab)19±5*local~39GBhow to run › Edit-Compass & EditReward-Compass: A Unified Benchmark for Image Editing and Reward Modeling
80OneCAT-3B Meituan (OneCAT team)14±5*local~25GBhow to run › Edit-Compass & EditReward-Compass: A Unified Benchmark for Image Editing and Reward Modeling
81InstructPix2Pix UC Berkeley (Brooks, Holynski, Efros)10±4local~2.6GBhow to run › UnicEdit-10M: A Dataset and Benchmark Breaking the Scale-Quality Barrier via Unified Verification for Reasoning-Enriched EditsEdit-Compass & EditReward-Compass: A Unified Benchmark for Image Editing and Reward ModelingImagenWorld: Stress-Testing Image Generation Models with Explainable Human Evaluation on Open-ended Real-World TasksMultiTextEdit: Benchmarking Cross-Lingual Degradation in Text-in-Image Editing (arXiv:2605.08163v2), Table 3

+ 58 more don't fit your machine or budget · show them

81 of 81 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