Can the RTX 3060 12 GB run Qwen-Image?
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 (7.1 GB).
Take Q2_K (7.1 GB). In use it comes to about 9.9 GB, with 2.1 GB left over on 12 GB. Quality: heavy loss; a last resort. For better quality, Q3_K_M (9.7 GB) also runs, with about 0.5 GB spilling into system RAM - a little slower, still practical.
Also try the FP8 file (20.4 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
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Model | qwen-image-Q2_K.gguf Q2_K · city96/Qwen-Image-gguf | models/unet | 7.1 GB | Download → |
| Text encoder | qwen_2.5_vl_7b_fp8_scaled.safetensors Qwen2.5-VL 7B FP8 · Comfy-Org/Qwen-Image_ComfyUI | models/text_encoders | 9.4 GB | Download → |
| VAE | qwen_image_vae.safetensors Qwen-Image VAE · Comfy-Org/Qwen-Image_ComfyUI | models/vae | 0.3 GB | Download → |
| Total download · keep about the same free on disk | 16.7 GB | |||
Alternatives: Qwen2.5-VL 7B BF16 (16.6 GB). Sizes from Hugging Face, 2026-10-01.
Free ComfyUI workflow, tested on my RTX 5060 Ti: GGUF Q4_K_M workflow (.json). Drag the file into ComfyUI. All workflows →
02Every Qwen-Image file on 12 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit SAFETENSORS · Comfy-Org | 40.9 GB | 43.7 GB | 31.7 GB too big | the original weights | Hugging Face → |
| Q8_0 GGUF · city96 | 21.8 GB | 24.6 GB | 12.6 GB too big | practically identical to the original | Hugging Face → |
| FP8 SAFETENSORS · Comfy-Org | 20.4 GB | 23.2 GB | 11.2 GB too big | practically identical to the original | Hugging Face → |
| Q6_K GGUF · city96 | 16.8 GB | 19.6 GB | 7.6 GB too big | very close to the original | Hugging Face → |
| Q5_K_M GGUF · city96 | 14.9 GB | 17.7 GB | 5.7 GB too big | close; small differences in fine detail | Hugging Face → |
| Q4_K_M GGUF · city96 | 13.1 GB | 15.9 GB | 3.9 GB too big | good; some loss in fine detail and text | Hugging Face → |
| Q3_K_M GGUF · city96 | 9.7 GB | 12.5 GB | spills 0.5 GB | noticeable loss of detail | Hugging Face → |
| Q2_K ← GGUF · city96 | 7.1 GB | 9.9 GB | fits · 2.1 GB spare | heavy loss; a last resort | Hugging Face → |
“Needed” adds 2 GB of working memory for Qwen-Image and a 0.8 GB reserve. Sizes 2026-10-01.
03Measured and reported results
| Label | Setup | Result | Peak VRAM | Date | Source |
|---|---|---|---|---|---|
| reported | 20 steps “Qwen-ImageがRTX 3060（12GB）で動くと聞いて、早速ComfyUI版をお試し。確かに問題なく動いて、20stepでちょうど5分。” 'ちょうど5分' = exactly 5 minutes (converted to 300 s); ComfyUI version, file/resolution not stated; quote taken from search index (x.com not fetchable); date from tweet ID | 300 s / image | — | 2025-08-05 | x.com → |
Other people's numbers are copied as published, with a link. Send yours.
04With more VRAM
With 24 GB you could run Qwen-Image at 8-bit or better (FP8, 20.4 GB) with no offloading: for example on the RTX 4090 24 GB, RTX 3090 24 GB, RX 7900 XTX 24 GB.
What changes from the RTX 3060 12 GB to the RTX 5060 Ti 16 GB → · What changes from the RTX 3060 12 GB to the RTX 3090 24 GB → · What changes from the RTX 3060 12 GB to the RTX 4070 Ti Super 16 GB →
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 Qwen-Image need?
Around 9.9 GB with the smallest file (Q2_K) and 23.2 GB with an 8-bit file (FP8). The full 16-bit file needs about 43.7 GB.
Which Qwen-Image file should I download for the RTX 3060 12 GB?
Q2_K (7.1 GB) from city96/Qwen-Image-gguf. Load it with Unet Loader (GGUF) from the ComfyUI-GGUF node pack.
FP8 or Q8_0 for Qwen-Image on the RTX 3060 12 GB?
Q8_0 (21.8 GB). The RTX 3060 12 GB has no FP8 maths, so FP8 (20.4 GB) only saves memory and is a step further from the original.
How much do I need to download for Qwen-Image on the RTX 3060 12 GB?
16.7 GB: qwen-image-Q2_K.gguf, qwen_2.5_vl_7b_fp8_scaled.safetensors, qwen_image_vae.safetensors.