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Image models ·

HunyuanImage 3.0 (80B-A13B)

Backbone
83.0B
Native output
1024×1024
Default steps
50
License
tencent-hunyuan-community
Released
2025-09

How to run it

Original weights · Hugging Face

Full-precision files from Tencent, for fine-tuning, vLLM, Transformers, Diffusers or ComfyUI.

huggingface.co/tencent/HunyuanImage-3.0 (opens in a new tab)

No sign-in needed.

Official repo · GitHub

Reference code, inference scripts and docs from Tencent. The weights themselves download from Hugging Face.

github.com/Tencent-Hunyuan/HunyuanImage-3.0 (opens in a new tab)

git clone https://github.com/Tencent-Hunyuan/HunyuanImage-3.0

Links checked 6 days ago against Hugging Face, Ollama and GitHub.

Memory needed

Peak GPU memory at the native output size. Offloading moves the text encoder, or the whole pipeline, to system RAM between steps.

Precision Everything on GPU Text encoder offloaded Sequential offload Download
FP16 170 GB 170 GB 61.8 GB Original weights (opens in a new tab)
FP8 86.9 GB 86.9 GB 32.8 GB Original weights (opens in a new tab)

Components

Best hardware for HunyuanImage 3.0 (80B-A13B)

The least expensive GPU in our catalog that runs it without offloading is the AMD Radeon PRO W7800 48GB (launch price $2,799) at FP8.

Grade · points Hardware Precision Memory Time per output Fit
85 ptsExcellent (S) · 85 of 100 points: Model quality 39.7/45, Memory fit 23.0/25, Speed 7.5/15, Memory use 15.0/15 NVIDIA RTX PRO 6000 Blackwell FP8 86.9 GB / 96.0 GB 40 s Tight fit
84 ptsGreat (A) · 84 of 100 points: Model quality 39.7/45, Memory fit 25.0/25, Speed 4.5/15, Memory use 15.0/15 NVIDIA GB10 (128 GB) FP8 86.9 GB / 115 GB 1.9 min Runs well
82 ptsGreat (A) · 82 of 100 points: Model quality 39.7/45, Memory fit 23.0/25, Speed 4.7/15, Memory use 15.0/15 AMD Ryzen AI Max+ 395 (128 GB) FP8 86.9 GB / 96.0 GB 1.7 min Tight fit
81 ptsGreat (A) · 81 of 100 points: Model quality 39.7/45, Memory fit 25.0/25, Speed 3.1/15, Memory use 13.9/15 Apple M2 Ultra (192 GB) FP8 86.9 GB / 144 GB 3.9 min Runs well
80 ptsGreat (A) · 80 of 100 points: Model quality 39.7/45, Memory fit 23.0/25, Speed 2.7/15, Memory use 15.0/15 Apple M4 Max (128 GB) FP8 86.9 GB / 96.0 GB 5.3 min Tight fit
78 ptsGreat (A) · 78 of 100 points: Model quality 40.5/45, Memory fit 25.0/25, Speed 3.0/15, Memory use 10.2/15 Apple M3 Ultra (512 GB) FP16 170 GB / 384 GB 4.2 min Runs well
78 ptsGreat (A) · 78 of 100 points: Model quality 39.7/45, Memory fit 25.0/25, Speed 3.1/15, Memory use 10.4/15 Apple M3 Ultra (256 GB) FP8 86.9 GB / 192 GB 3.8 min Runs well
69 ptsGood (B) · 69 of 100 points: Model quality 39.7/45, Memory fit 12.0/25, Speed 2.3/15, Memory use 15.0/15 Apple M4 Max (64 GB) FP8 32.8 GB / 48.0 GB 6.9 min Runs well
68 ptsGood (B) · 68 of 100 points: Model quality 39.7/45, Memory fit 12.0/25, Speed 1.9/15, Memory use 15.0/15 Apple M1 Max (64 GB) FP8 32.8 GB / 48.0 GB 10.5 min Runs well
66 ptsGood (B) · 66 of 100 points: Model quality 39.7/45, Memory fit 10.0/25, Speed 1.8/15, Memory use 15.0/15 Apple M4 Pro (48 GB) FP8 32.8 GB / 36.0 GB 11.5 min Tight fit

Check it on your own hardware

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.