Can the RTX 4080 Super 16 GB run Stable Diffusion 1.5?
Yes. 16-bit fits on the RTX 4080 Super 16 GB with 12.7 GB to spare.
16-bit (2.1 GB) needs about 3.3 GB in use, so 12.7 GB of the 16 GB stays free: room for a larger image, a LoRA or a ControlNet.
01What to download
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Checkpoint | v1-5-pruned-emaonly-fp16.safetensors 16-bit · Comfy-Org/stable-diffusion-v1-5-archive | models/checkpoints | 2.1 GB | Download → |
| Total download · keep about the same free on disk | 2.1 GB | |||
One file: the checkpoint already contains the text encoders and the VAE. Sizes from Hugging Face, 2026-10-01.
02Every SD 1.5 file on 16 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit ← SAFETENSORS · Comfy-Org | 2.1 GB | 3.3 GB | fits · 12.7 GB spare | the original weights | Hugging Face → |
“Needed” adds 0.8 GB of working memory for SD 1.5 and a 0.8 GB reserve. Sizes 2026-10-01. The 2.13 GB checkpoint also holds the text encoder and VAE; the UNet alone is about 1.7 GB at 16-bit.
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 SD 1.5 on a RTX 4080 Super 16 GB, send your time per image and peak VRAM and it will appear here, credited.
05About the RTX 4080 Super 16 GB
The RTX 4080 Super 16 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.)
16 GB GDDR6X · 256-bit · 736 GB/s · Ada Lovelace. Everything that runs on it →
06Questions
How much VRAM does SD 1.5 need?
Around 3.3 GB with the smallest file (16-bit).
Which SD 1.5 file should I download for the RTX 4080 Super 16 GB?
16-bit (2.1 GB) from Comfy-Org/stable-diffusion-v1-5-archive.
How much do I need to download for SD 1.5 on the RTX 4080 Super 16 GB?
2.1 GB: v1-5-pruned-emaonly-fp16.safetensors.