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Stable Diffusion 3.5 Large on 32 GB of VRAM

Yes. 16-bit fits on 32 GB with 13.2 GB to spare. Stability AI's 8B model. City96 only publishes the older GGUF types for it (Q8_0, Q5, Q4), not K-quants.

Image model · 8.1BAny 32 GB GPUData 2026-10-01
Runs well
Yes, with room to spare.

16-bit (16.5 GB) needs about 18.8 GB in use, so 13.2 GB of the 32 GB stays free: room for a larger image, a LoRA or a ControlNet.

Best file16-bit
File size16.5 GB
VRAM needed~18.8 GB
System RAM32 GB+
Memory map · 32 GB GPU18.8 GB / 32 GB
016 GB32 GB
Weights 16-bit · 16.5 GBWorking memory · 1.5 GBReserve · 0.8 GBFree · 13.2 GB

01What to download

PartFileFolderSize
Modelsd3.5_large.safetensors
16-bit · stabilityai/stable-diffusion-3.5-large
models/diffusion_models16.5 GBDownload →
Text encodert5xxl_fp8_e4m3fn.safetensors
T5-XXL FP8 · Comfy-Org/stable-diffusion-3.5-fp8
models/text_encoders4.9 GBDownload →
Text encoderclip_l.safetensors
CLIP-L · Comfy-Org/stable-diffusion-3.5-fp8
models/text_encoders0.2 GBDownload →
Text encoderclip_g.safetensors
CLIP-G · Comfy-Org/stable-diffusion-3.5-fp8
models/text_encoders1.4 GBDownload →
VAEdiffusion_pytorch_model.safetensors
SD 3.5 VAE (gated repo: log in and accept the licence first) · stabilityai/stable-diffusion-3.5-large
models/vae0.2 GBDownload →
Total download · keep about the same free on disk23.2 GB

Alternatives: T5-XXL FP16 (9.8 GB). Sizes from Hugging Face, 2026-10-01.

02Every file, on 32 GB

FileSizeNeededOn this cardQualityDownload
16-bit ←
SAFETENSORS · stabilityai
16.5 GB18.8 GBfits · 13.2 GB sparethe original weightsHugging Face →
Q8_0
GGUF · city96
8.8 GB11.1 GBfits · 20.9 GB sparepractically identical to the originalHugging Face →
Q5_1
GGUF · city96
6.3 GB8.6 GBfits · 23.4 GB spareclose; small differences in fine detailHugging Face →
Q4_1
GGUF · city96
5.3 GB7.6 GBfits · 24.4 GB sparegood; some loss in fine detail and textHugging Face →

“Needed” adds 1.5 GB of working memory for SD 3.5 Large and a 0.8 GB reserve. Sizes 2026-10-01.