Datasheet for local AI49 models98 GPUsData read 2026-09-25
No adsNo tracking
Check my GPU →

Can the RTX 3060 12 GB run SDXL 1.0?

Image model · 3.5B12 GB GDDR6 · 192-bit · 360 GB/s · AmpereData 2026-09-25
Runs well
Yes — and comfortably.

Download 16-bit (6.9 GB). With the model's working memory it needs about 7.1 GB, leaving 4.9 GB spare on 12 GB. Quality: the original weights.

Best file16-bit
File size6.9 GB
VRAM needed~7.1 GB
System RAM16 GB+
Memory map · RTX 3060 12 GB7.1 GB / 12 GB
06 GB12 GB
Weights 16-bit · 5.1 GBWorking memory · 1.2 GBReserve · 0.8 GBFree · 4.9 GB
calculated from real file sizes plus working memory. Not yet measured on this setup. How this works.

01What to download

PartFileFolderSize
Checkpointsd_xl_base_1.0.safetensors
16-bit · stabilityai/stable-diffusion-xl-base-1.0
models/checkpoints6.9 GBDownload →
Total download · keep about the same free on disk6.9 GB

One file: the checkpoint already contains the text encoders and the VAE. Sizes read from Hugging Face (2026-09-25). “Download” links start the file directly; the file name links are the same files the official ComfyUI workflows use.

System RAM: 16 GB or more. ComfyUI keeps the model file, the text encoder and the VAE in system RAM and moves them to the GPU as needed. With this set of files that is about 6.9 GB, plus roughly 6 GB for Windows, ComfyUI and a browser: 12.9 GB in total. With less RAM it still runs, but Windows starts swapping to disk and loading gets very slow. calculated

02Every SDXL file on 12 GB

FileSizeNeededOn this cardQualityDownload
16-bit ←
SAFETENSORS · stabilityai
6.9 GB7.1 GBfits · 4.9 GB sparethe original weightsHugging Face →

Sizes from the Hugging Face file listing, read 2026-09-25. “Needed” = file + 1.2 GB working memory for this model + 0.8 GB kept free for the system. The 6.94 GB checkpoint also holds the two text encoders and the VAE. During sampling only the UNet (about 5.1 GB at 16-bit, 2.6B parameters) has to sit in VRAM, so that is the figure used for the 16-bit file.

03The text encoder

The text encoder is inside the checkpoint, so there is nothing extra to download.

04About this GPU

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.

RTX 3060 12 GB: 12 GB GDDR6 · 192-bit · 360 GB/s · Ampere. Everything that runs on the RTX 3060 12 GB →

05What more VRAM would change

Nothing to gain for this model: the RTX 3060 12 GB already runs a top-quality file entirely in VRAM. More memory would only help with bigger images, longer clips or several models at once.

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 →

06Measured and reported results

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

07Questions

How much VRAM does SDXL need?

Around 7.1 GB with the smallest file (16-bit), counting working memory and a small system reserve.

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

16-bit (6.9 GB) from stabilityai/stable-diffusion-xl-base-1.0.

Is FP8 faster than GGUF on the RTX 3060 12 GB?

No. This GPU has no FP8 compute, so ComfyUI converts FP8 weights back before the maths. FP8 only saves memory here; Q8_0 GGUF is the closer-to-original 8-bit pick.

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

About 6.9 GB for the model file, text encoder and VAE listed on this page, and the same again free on disk. With a 12 GB card, 16 GB of system RAM or more is recommended.