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Can the RTX 3060 12 GB run HunyuanImage 2.1?

Not at full quality. The 16-bit and 8-bit files are too big for the RTX 3060 12 GB; the largest that fits is Q2_K (7.3 GB).

Image model · 17B12 GB GDDR6 · 192-bit · 360 GB/s · AmpereData 2026-10-01
Tight
Only just.

Q2_K (7.3 GB) fits with only 1.4 GB to spare (about 10.6 GB of 12 GB). Quality: heavy loss; a last resort. For better quality, Q3_K_M (9.8 GB) also runs, with about 1.1 GB spilling into system RAM - a little slower, still practical.

Best fileQ2_K
File size7.3 GB
VRAM needed~10.6 GB
System RAM32 GB+
Memory map · RTX 3060 12 GB10.6 GB / 12 GB
06 GB12 GB
Weights Q2_K · 7.3 GBWorking memory · 2.5 GBReserve · 0.8 GBFree · 1.4 GB

Also try the FP8 file (17.4 GB) on this GPU. It does not fit entirely, but a current ComfyUI streams the overflow from RAM and native 8-bit files often beat a small GGUF that does fit. Dynamic VRAM →

01What to download

PartFileFolderSize
Modelhunyuanimage2.1-q2_k.gguf
Q2_K · calcuis/hunyuanimage-gguf
models/unet7.3 GBDownload →
Text encoderqwen_2.5_vl_7b_fp8_scaled.safetensors
Qwen2.5-VL 7B FP8 · Comfy-Org/HunyuanImage_2.1_ComfyUI
models/text_encoders9.4 GBDownload →
Text encoderbyt5_small_glyphxl_fp16.safetensors
ByT5 small Glyph-XL · Comfy-Org/HunyuanImage_2.1_ComfyUI
models/text_encoders0.4 GBDownload →
VAEhunyuan_image_2.1_vae_fp16.safetensors
HunyuanImage 2.1 VAE · Comfy-Org/HunyuanImage_2.1_ComfyUI
models/vae0.8 GBDownload →
Total download · keep about the same free on disk18.0 GB

Alternatives: Qwen2.5-VL 7B BF16 (16.6 GB). Sizes from Hugging Face, 2026-10-01.

02Every HunyuanImage 2.1 file on 12 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · Comfy-Org
34.9 GB38.2 GB26.2 GB too bigthe original weightsHugging Face →
Q8_0
GGUF · calcuis
19.8 GB23.1 GB11.1 GB too bigpractically identical to the originalHugging Face →
FP8
SAFETENSORS · Comfy-Org
17.4 GB20.7 GB8.7 GB too bigpractically identical to the originalHugging Face →
Q6_K
GGUF · calcuis
15.7 GB19.0 GB7.0 GB too bigvery close to the originalHugging Face →
Q5_K_M
GGUF · calcuis
13.4 GB16.7 GB4.7 GB too bigclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · calcuis
11.3 GB14.6 GB2.6 GB too biggood; some loss in fine detail and textHugging Face →
Q3_K_M
GGUF · calcuis
9.8 GB13.1 GBspills 1.1 GBnoticeable loss of detailHugging Face →
Q2_K ←
GGUF · calcuis
7.3 GB10.6 GBfits · 1.4 GB spareheavy loss; a last resortHugging Face →

“Needed” adds 2.5 GB of working memory for HunyuanImage 2.1 and a 0.8 GB reserve. Sizes 2026-10-01.

03Measured and reported results

Nobody has sent measured numbers for this pair yet. If you run HunyuanImage 2.1 on a RTX 3060 12 GB, send your time per image and peak VRAM and it will appear here, credited.

05About the RTX 3060 12 GB

The RTX 3060 12 GB (Ampere) has no FP8 compute. FP8 files still load and save memory, but ComfyUI converts them back before the maths, so there is no speed gain - Q8_0 GGUF is the closer-to-original 8-bit choice. ComfyUI can compute INT8 files natively on NVIDIA, which is worth a try where a model offers one.

12 GB GDDR6 · 192-bit · 360 GB/s · Ampere. Everything that runs on it →

06Questions

How much VRAM does HunyuanImage 2.1 need?

Around 10.6 GB with the smallest file (Q2_K) and 20.7 GB with an 8-bit file (FP8). The full 16-bit file needs about 38.2 GB.

Which HunyuanImage 2.1 file should I download for the RTX 3060 12 GB?

Q2_K (7.3 GB) from calcuis/hunyuanimage-gguf. Load it with Unet Loader (GGUF) from the ComfyUI-GGUF node pack.

FP8 or Q8_0 for HunyuanImage 2.1 on the RTX 3060 12 GB?

Q8_0 (19.8 GB). The RTX 3060 12 GB has no FP8 maths, so FP8 (17.4 GB) only saves memory and is a step further from the original.

How much do I need to download for HunyuanImage 2.1 on the RTX 3060 12 GB?

18.0 GB: hunyuanimage2.1-q2_k.gguf, qwen_2.5_vl_7b_fp8_scaled.safetensors, byt5_small_glyphxl_fp16.safetensors, hunyuan_image_2.1_vae_fp16.safetensors.