RTX 3060 12 GB for local AI
Which image and video models run on the RTX 3060 12 GB, which file to download for each, and how much VRAM they need.
VRAM12 GB
MemoryGDDR6
Bus192-bit
Bandwidth360 GB/s
ArchitectureAmpere
Launched2021-02
Launch price$329
Runs well17 of 49
Specs: www.nvidia.com · launch: en.wikipedia.org
01What runs on it
| Model | Verdict | Best file | Size | Needed |
|---|---|---|---|---|
| image models | ||||
| FLUX.1 [dev] | Runs | Q5_K_S | 8.3 GB | 10.6 GB |
| FLUX.1 [schnell] | Runs | Q5_K_S | 8.3 GB | 10.6 GB |
| FLUX.1 Kontext [dev] | Runs | Q5_K_M | 8.4 GB | 11.0 GB |
| FLUX.1 Krea [dev] | Runs | Q5_K_M | 8.4 GB | 10.7 GB |
| FLUX.1 Fill [dev] | Runs | Q5_K_S | 8.3 GB | 10.9 GB |
| FLUX.2 [dev] | Offload only | Q4_K_M | 20.1 GB | 23.4 GB |
| FLUX.2 [klein] 9B | Runs well | FP8 | 9.4 GB | 11.7 GB |
| FLUX.2 [klein] 4B | Runs well | 16-bit | 7.8 GB | 9.6 GB |
| Krea 2 (Turbo) | Runs | Q5_K_M | 8.9 GB | 11.5 GB |
| Qwen-Image | Tight | Q2_K | 7.1 GB | 9.9 GB |
| Qwen-Image-Edit (2511) | Tight | Q2_K | 7.5 GB | 10.5 GB |
| Qwen-Image 2.1 | Runs well | Q8_0 | 7.6 GB | 9.9 GB |
| Z-Image Turbo | Runs well | Q8_0 | 7.2 GB | 9.2 GB |
| Z-Image (base) | Runs well | Q8_0 | 7.2 GB | 9.2 GB |
| Ideogram 4 | Offload only | Q4_1 | 6.2 GB | 14.7 GB |
| Boogu-Image (Turbo) | Runs | Q5_1 | 8.6 GB | 11.2 GB |
| ERNIE-Image (Turbo) | Runs well | Q8_0 | 8.7 GB | 11.0 GB |
| HiDream-O1-Image | Runs well | FP8 | 8.1 GB | 10.9 GB |
| Mage-Flow (Microsoft) | Runs well | 16-bit | 8.2 GB | 10.0 GB |
| Lumina Image 2.0 | Runs well | 16-bit | 5.2 GB | 7.0 GB |
| HiDream-I1 (Full) | Tight | Q3_K_M | 8.8 GB | 11.6 GB |
| HiDream-I1 (Dev) | Tight | Q3_K_M | 8.8 GB | 11.6 GB |
| Stable Diffusion 3.5 Large | Runs well | Q8_0 | 8.8 GB | 11.1 GB |
| Stable Diffusion 3.5 Medium | Runs well | 16-bit | 5.1 GB | 6.9 GB |
| Chroma1-HD | Runs well | FP8 | 9.2 GB | 11.5 GB |
| SDXL 1.0 | Runs well | 16-bit | 6.9 GB | 7.1 GB |
| Illustrious XL / Pony (SDXL anime) | Runs well | 16-bit | 6.9 GB | 7.1 GB |
| Stable Diffusion 1.5 | Runs well | 16-bit | 2.1 GB | 3.3 GB |
| HunyuanImage 2.1 | Tight | Q2_K | 7.3 GB | 10.6 GB |
| video models | ||||
| Wan 2.1 T2V 14B | Tight | Q3_K_M | 7.6 GB | 11.9 GB |
| Wan 2.1 T2V 1.3B | Runs well | 16-bit | 2.8 GB | 5.6 GB |
| Wan 2.1 I2V 14B 480P | Offload only | Q3_K_M | 8.6 GB | 12.9 GB |
| Wan 2.1 I2V 14B 720P | Offload only | Q4_K_M | 11.3 GB | 18.1 GB |
| Wan 2.1 VACE 14B | Offload only | Q3_K_S | 7.8 GB | 12.6 GB |
| Wan 2.2 T2V A14B | Tight | Q3_K_M | 7.2 GB | 11.5 GB |
| Wan 2.2 I2V A14B | Tight | Q3_K_M | 7.2 GB | 11.5 GB |
| Wan 2.2 TI2V 5B | Runs well | Q8_0 | 5.4 GB | 9.2 GB |
| Wan 2.2 Animate 14B | Tight | Q2_K | 6.5 GB | 11.8 GB |
| Wan Animate 2 (14B) | Tight | Q2_K | 6.5 GB | 11.8 GB |
| Wan 2.2 S2V 14B | Offload only | Q4_K_M | 13.9 GB | 18.7 GB |
| SCAIL-2 (character animation) | Offload only | Q2_K | 7.3 GB | 12.6 GB |
| HunyuanVideo (13B, original) | Tight | Q3_K_M | 6.2 GB | 10.5 GB |
| LTX-Video 13B (0.9.8) | Tight | Q3_K_M | 6.5 GB | 10.8 GB |
| HunyuanVideo 1.5 | Runs | Q6_K | 7.0 GB | 11.3 GB |
| LTX-2 (19B) | Offload only | Q2_K | 8.1 GB | 12.9 GB |
| LTX-2.3 (22B) | Offload only | Q2_K | 8.3 GB | 13.1 GB |
| LTX-2.5 (22B) | Offload only | Q2_K | 8.8 GB | 13.6 GB |
| MiniMax H3 (33B) | Offload only | Q4_K_M | 19.9 GB | 25.7 GB |
| MiniMax H3 Pruned | Offload only | Q4_K_M | 11.6 GB | 17.4 GB |
Calculated from real file sizes plus working memory. How the numbers work.
02Good to know
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.
03Measured and reported results
| Label | Model | Setup | Result | Peak VRAM | Date | Source |
|---|---|---|---|---|---|---|
| reported | Qwen-Image | 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 → |
| reported | Wan 2.2 I2V | video_wan2_2_14B_i2v template (quant not stated) · 720p “53frame/16fpsで513.5秒” ComfyUI on native Linux, PyTorch 2.8; 10GB offloaded via MultiGPU node; steps/LoRA not stated | 513.5 s / clip (53 frames) | — | 2025-11-26 | note.com → |
| reported | Z-Image Turbo | 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 → |
Reported results are other people's numbers, copied as published, with a link. Settings, drivers and ComfyUI versions differ, so compare them with care. Send yours.