Can the RTX 4060 8 GB run SDXL 1.0?
Yes, but only just: 16-bit leaves 0.9 GB free on the RTX 4060 8 GB.
16-bit (6.9 GB) fits with only 0.9 GB to spare (about 7.1 GB of 8 GB).
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 from Hugging Face, 2026-10-01.
02Every SDXL file on 8 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit ← SAFETENSORS · stabilityai | 6.9 GB | 7.1 GB | fits · 0.9 GB spare | the original weights | Hugging Face → |
“Needed” adds 1.2 GB of working memory for SDXL and a 0.8 GB reserve. Sizes 2026-10-01. 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.
04Measured and reported results
Nobody has sent measured numbers for this pair yet. If you run SDXL on a RTX 4060 8 GB, send your time per image and peak VRAM and it will appear here, credited.
05About the RTX 4060 8 GB
The RTX 4060 8 GB is an Ada Lovelace GPU with hardware FP8, so ComfyUI can compute Comfy-Org's FP8 files natively: small and fast. (Plain FP8 files use FP8 maths with the --fast fp8_matrix_mult option.)
8 GB GDDR6 · 128-bit · 272 GB/s · Ada Lovelace. Everything that runs on it →
06Questions
How much VRAM does SDXL need?
Around 7.1 GB with the smallest file (16-bit).
Which SDXL file should I download for the RTX 4060 8 GB?
16-bit (6.9 GB) from stabilityai/stable-diffusion-xl-base-1.0.
How much do I need to download for SDXL on the RTX 4060 8 GB?
6.9 GB: sd_xl_base_1.0.safetensors.