Can the RTX 2060 6 GB run SDXL 1.0?
Nothing fits entirely, but 16-bit (6.9 GB) overflows by only about 1.1 GB. ComfyUI keeps that part in system RAM automatically: slower than a full fit, but usable.
01What to download
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Checkpoint | sd_xl_base_1.0.safetensors 16-bit · stabilityai/stable-diffusion-xl-base-1.0 | models/checkpoints | 6.9 GB | Download → |
| Total download · keep about the same free on disk | 6.9 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 6 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit ← SAFETENSORS · stabilityai | 6.9 GB | 7.1 GB | spills 1.1 GB | the original weights | Hugging 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 2060 6 GB (Turing) 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 2060 6 GB: 6 GB GDDR6 · 192-bit · 336 GB/s · Turing. Everything that runs on the RTX 2060 6 GB →
05What more VRAM would change
With 8 GB you could run SDXL at 8-bit or better (16-bit, 6.9 GB) with no offloading: for example on the RTX 5060 Ti 8 GB, RTX 5060 8 GB, RTX 4060 Ti 8 GB.
What changes from the RTX 2060 6 GB to the RTX 3060 12 GB → · What changes from the RTX 2060 6 GB to the RTX 5060 Ti 16 GB →
06Measured and reported results
Nobody has sent measured numbers for this pair yet. If you run SDXL on a RTX 2060 6 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 2060 6 GB?
16-bit (6.9 GB) from stabilityai/stable-diffusion-xl-base-1.0.
Is FP8 faster than GGUF on the RTX 2060 6 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 2060 6 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 6 GB card, 16 GB of system RAM or more is recommended.