BFWR AI Tools
Stability AIDiffusion TransformerCommercial use with conditions

Stable Diffusion 3.5 Medium

The transformer is small, but it still loads T5-XXL. Offloading the encoder matters more than the model size suggests.

Parameters2.47BImage model
Weights at BF1616.5 GBAll components
Native resolution1024x1024Trained for
Minimum VRAM4.2 GBNF4 + text encoder on CPU

What you actually download

A diffusion pipeline is three separate models. These sizes are read from the real .safetensors files in the Hugging Face repository, not estimated.

Transformer / UNetThe image model itself4.94 GB
Text encoderTurns your prompt into embeddings11.42 GB
VAEDecodes latents into pixels0.17 GB

Peak VRAM at 1024×1024, one image

Every combination of precision and offload strategy. Lower precision costs image quality; offloading costs speed.

PrecisionEverything in VRAMText encoder on CPUSequential CPU offload
BF16 / FP16Reference quality. What the repos ship by default.19.1 GB7.7 GB14.0 GB
FP8Roughly half the weight memory. Small quality cost, widely used for Flux and SD 3.5.10.9 GB5.2 GB8.3 GB
NF4 / INT4Aggressive 4-bit. Visible quality loss, but it puts big models on small cards.10.0 GB4.2 GB8.3 GB
Change resolution and batch size →

Which machines can run it

74 of the 75 devices we profile can run Stable Diffusion 3.5 Medium at 1024×1024 in some configuration. Showing the best-quality setup each one supports.

DeviceBest setupPeakStatus
Apple Mac Studio (M5 Ultra, 512GB, 2026)BF16 / FP1619.1 GBComfortable
Apple Mac Studio (M3 Ultra, 512GB, 2025)BF16 / FP1619.1 GBComfortable
Apple Mac Studio (M5 Ultra, 256GB, 2026)BF16 / FP1619.1 GBComfortable
Apple Mac Studio (M2 Ultra 192GB)BF16 / FP1619.1 GBComfortable
NVIDIA DGX Spark (GB10, 128GB)BF16 / FP1619.1 GBComfortable
Apple MacBook Pro 16-inch (M4 Max 128GB)BF16 / FP1619.1 GBComfortable
Apple MacBook Pro 16-inch (M3 Max 128GB)BF16 / FP1619.1 GBComfortable
Next-Gen AI Laptop (Ryzen AI Max+ 395 128GB)BF16 / FP1619.1 GBComfortable
Apple Mac Studio (M5 Max, 128GB, 2026)BF16 / FP1619.1 GBComfortable
Apple MacBook Pro 16-inch (M4 Max)BF16 / FP1619.1 GBComfortable
Apple Mac Studio (M1 Ultra 64GB)BF16 / FP1619.1 GBComfortable
Homelab AI Server (Dual RTX 3090 48GB VRAM)BF16 / FP1619.1 GBComfortable
Apple Mac mini (M5 Pro, 64GB, 2026)BF16 / FP1619.1 GBComfortable
Framework Laptop 13 (Ryzen 7 7840U)BF16 / FP1619.1 GBComfortable
Apple MacBook Pro 14-inch (M4 Pro 48GB)BF16 / FP1619.1 GBComfortable
Apple Mac mini (M5 Pro, 48GB, 2026)BF16 / FP1619.1 GBComfortable
Flagship AI Workstation (RTX 5090 32GB)BF16 / FP1619.1 GBComfortable
ASUS Zenbook A16 (Snapdragon X2 Elite Extreme, 48GB)BF16 / FP1619.1 GBComfortable
Apple MacBook Pro 14-inch (M3 Pro 36GB)BF16 / FP1619.1 GBComfortable
Custom Workstation PC (RTX 4090 24GB)BF16 / FP1619.1 GBComfortable
Used AI Powerhouse PC (RTX 3090 24GB)BF16 / FP1619.1 GBComfortable
Custom Workstation PC (Radeon RX 7900 XTX 24GB)BF16 / FP1619.1 GBComfortable
Apple Mac mini (M6, 32GB, 2026)BF16 / FP1619.1 GBComfortable
Apple MacBook Pro 14-inch (M5, 32GB, 2025)BF16 / FP1619.1 GBComfortable
HP Omnibook 5 OLEDBF16 / FP1619.1 GBTight Fit
Lenovo ThinkPad T14s Gen 5 (Snapdragon)BF16 / FP1619.1 GBTight Fit
ASUS Zenbook S 16 (Ryzen AI 9 HX 370)BF16 / FP1619.1 GBTight Fit
Dell XPS 13 (Intel Core Ultra 7 258V)BF16 / FP1619.1 GBTight Fit
Lenovo Yoga Slim 7x Copilot+BF16 / FP1619.1 GBTight Fit
Microsoft Surface Pro 11 Copilot+ (OLED)BF16 / FP1619.1 GBTight Fit

Showing the 30 devices with the most memory. The full hardware matrix covers all 75.

Licence: Stability Community License

With conditions. Stable Diffusion 3.5 Medium is released under Stability Community License. Commercial use is permitted, but the terms carry use restrictions that travel with the model — read them before shipping.

Compare model licences →

Stable Diffusion 3.5 Medium: common questions

How much VRAM does Stable Diffusion 3.5 Medium need?
At 1024x1024 and batch 1, Stable Diffusion 3.5 Medium peaks at about 19.1GB with everything resident at BF16, and as little as 4.2GB at NF4 + text encoder on CPU. The weights alone are 16.5GB at BF16 — 4.9GB of transformer, 11.4GB of text encoder and 0.17GB of VAE.
Which GPUs can run Stable Diffusion 3.5 Medium?
74 of the 75 devices we profile can run it at 1024x1024 in some configuration. The Apple Mac Studio (M5 Ultra, 512GB, 2026) handles it best, at about 19.1GB. Lower precision and text-encoder offload widen that list considerably.
Can Stable Diffusion 3.5 Medium be used commercially?
With conditions. Stable Diffusion 3.5 Medium is released under Stability Community License. Commercial use is permitted, but the terms carry use restrictions that travel with the model — read them before shipping.
Does offloading the text encoder help on Stable Diffusion 3.5 Medium?
Yes, substantially. Stable Diffusion 3.5 Medium uses a large language model as its text encoder — 11.4GB at full precision. Encoding happens once per prompt, so moving it to CPU costs a couple of seconds and frees that 11.4GB for the rest of the run, taking peak VRAM at BF16 from 19.1GB down to 7.7GB.

Weight sizes read from the model repository on 2026-09-12. Activation memory is an approximation, not a benchmark — BFWR does not run a hardware test lab.

Other open image models

Guides that go deeper

Which GPUs have the VRAM these models need, and what they cost right now.