Image Gen8.1B

Stable Diffusion 3.5 Large

Stable Diffusion · Stability AI Community License

Latest Stable Diffusion architecture with significantly improved prompt adherence, typography, and composition over SDXL. Higher VRAM requirement (12GB+ at FP16) but produces noticeably better images. The current standard for local image generation.

Parameters: 8.1B
Context: 77 tokens
Released: 2024-10-22
Engines: ComfyUI, AUTOMATIC1111, InvokeAI, diffusers

Stable Diffusion 3.5 Large (8.1B) requires 12.5 GB VRAM at recommended quality (FP16). At efficient quality (Q8_0), it fits in 9 GB VRAM, making it compatible with the NVIDIA GeForce RTX 3060 12GB. For the best experience, Budget Home AI Server ($1,162) is recommended.

— OwnRig methodology, data updated 2026-03-15

VRAM Requirements

Quality	Quantization	VRAM	File Size
full	FP16	12.5 GB	11.8 GB
efficient	Q8_0	9 GB	8.5 GB

Compatible GPUs

Performance data for Stable Diffusion 3.5 Large across different hardware.

Device	Quantization	Speed	Rating	Fits in VRAM
NVIDIA GeForce RTX 3060 12GB	Q8_0	—	Good	✓
NVIDIA GeForce RTX 4060 Ti 16GB	FP16	—	Good	✓
NVIDIA GeForce RTX 4070 Ti Super	FP16	—	Excellent	✓
NVIDIA GeForce RTX 4070 Super	Q8_0	—	Good	✓
NVIDIA GeForce RTX 4080 Super	FP16	—	Excellent	✓
NVIDIA GeForce RTX 4090	FP16	—	Excellent	✓
NVIDIA GeForce RTX 3090	FP16	—	Excellent	✓
NVIDIA GeForce RTX 5080	FP16	—	Excellent	✓
NVIDIA GeForce RTX 5090	FP16	—	Excellent	✓
Apple M4 Pro (24GB Unified)	FP16	—	Acceptable	✓
Apple M4 Pro (48GB)	FP16	—	Acceptable	✓
Apple M4 Max (36GB Unified)	FP16	—	Good	✓
Apple M4 Max (64GB Unified)	FP16	—	Good	✓
Apple M4 Max (128GB Unified)	FP16	—	Good	✓
NVIDIA GeForce RTX 4060 8GB	Q8_0	—	Not Viable	✗ (offload)
NVIDIA GeForce RTX 4070 Ti 12GB	Q8_0	—	Good	✓
NVIDIA GeForce RTX 3080 10GB	Q8_0	—	Acceptable	✓
Apple M3 Pro (18GB Unified)	FP16	—	Marginal	✓

Recommended Builds

Complete PC builds that can run Stable Diffusion 3.5 Large.

High-End

High-EndFull AI Builder

AMD AI Powerhouse

AMD Radeon RX 7900 XTX 24GB · 32GB DDR5-5600 (2x16GB)

$1,81824 GB VRAM

Runs 7 models

Frequently Asked Questions

How much VRAM does Stable Diffusion 3.5 Large need?: Stable Diffusion 3.5 Large requires 12.5 GB VRAM at recommended quality (FP16). At lower quality settings, it can fit in as little as 9 GB.
Can I run Stable Diffusion 3.5 Large on an RTX 4060 Ti?: Yes. On the NVIDIA GeForce RTX 4060 Ti 16GB, Stable Diffusion 3.5 Large runs at — (FP16, good).
What quantization should I use for Stable Diffusion 3.5 Large?: For the best quality, use FP16 (12.5 GB VRAM). If your GPU has limited VRAM, Q8_0 (9 GB) is the most efficient option with acceptable quality.

Data confidence: estimated. Last updated: 2026-03-15. Source