Can the RTX 3060 12 GB run Z-Image Turbo?
Yes, but only just: Q8_0 leaves 2.8 GB free on the RTX 3060 12 GB.
Take Q8_0 (7.2 GB). In use it comes to about 9.2 GB, with 2.8 GB left over on 12 GB.
01What to download
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Model | z-image-turbo-Q8_0.gguf Q8_0 · unsloth/Z-Image-Turbo-GGUF | models/unet | 7.2 GB | Download → |
| Text encoder | qwen_3_4b_fp8_mixed.safetensors Qwen3 4B FP8 · Comfy-Org/z_image_turbo | models/text_encoders | 5.6 GB | Download → |
| VAE | ae.safetensors FLUX.1 VAE (ae) · Comfy-Org/z_image_turbo | models/vae | 0.3 GB | Download → |
| Total download · keep about the same free on disk | 13.2 GB | |||
Alternatives: Qwen3 4B BF16 (8.0 GB). Sizes from Hugging Face, 2026-10-01.
Free ComfyUI workflow, tested on my RTX 5060 Ti: 16-bit workflow (.json). Drag the file into ComfyUI. All workflows →
02Every Z-Image Turbo file on 12 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit SAFETENSORS · Comfy-Org | 12.3 GB | 14.3 GB | 2.3 GB too big | the original weights | Hugging Face → |
| Q8_0 ← GGUF · unsloth | 7.2 GB | 9.2 GB | fits · 2.8 GB spare | practically identical to the original | Hugging Face → |
| INT8 SAFETENSORS · Comfy-Org | 6.2 GB | 8.2 GB | fits · 3.8 GB spare | practically identical to the original | Hugging Face → |
| Q6_K GGUF · unsloth | 5.9 GB | 7.9 GB | fits · 4.1 GB spare | very close to the original | Hugging Face → |
| Q5_K_M GGUF · unsloth | 5.6 GB | 7.6 GB | fits · 4.4 GB spare | close; small differences in fine detail | Hugging Face → |
| Q4_K_M GGUF · unsloth | 5.0 GB | 7.0 GB | fits · 5.0 GB spare | good; some loss in fine detail and text | Hugging Face → |
| Q3_K_M GGUF · unsloth | 4.2 GB | 6.2 GB | fits · 5.8 GB spare | noticeable loss of detail | Hugging Face → |
| Q2_K GGUF · unsloth | 3.6 GB | 5.6 GB | fits · 6.4 GB spare | heavy loss; a last resort | Hugging Face → |
“Needed” adds 1.2 GB of working memory for Z-Image Turbo and a 0.8 GB reserve. Sizes 2026-10-01.
03Measured and reported results
| Label | Setup | Result | Peak VRAM | Date | Source |
|---|---|---|---|---|---|
| reported | 1024x1024 “私の環境（グラボ：RTX 3060 12GB）では解像度1024*1024pxの画像を生成するのに大体45秒程度かかりました” ComfyUI; approximate ('大体…程度'); file/steps not stated (article notes ~12GB model) | 45 s / image | — | 2025-12-05 | kurokumasoft.com → |
Other people's numbers are copied as published, with a link. Send yours.
04About 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 →
05Questions
How much VRAM does Z-Image Turbo need?
Around 5.6 GB with the smallest file (Q2_K) and 8.2 GB with an 8-bit file (INT8). The full 16-bit file needs about 14.3 GB.
Which Z-Image Turbo file should I download for the RTX 3060 12 GB?
Q8_0 (7.2 GB) from unsloth/Z-Image-Turbo-GGUF. Load it with Unet Loader (GGUF) from the ComfyUI-GGUF node pack.
How much do I need to download for Z-Image Turbo on the RTX 3060 12 GB?
13.2 GB: z-image-turbo-Q8_0.gguf, qwen_3_4b_fp8_mixed.safetensors, ae.safetensors.