32 GB VRAM · Q4 native Amazon
RTX 5090
Prós
- Runs Stable Diffusion 3.5 Large at Q4 natively
- 32 GB VRAM — adequate headroom
Local Engine Ready
Stable Diffusion 3.5 Large
29 consumer GPUs can run Stable Diffusion 3.5 Large at Q4 natively. Precise VRAM thresholds and benchmarks below.
29 Compatible GPUs
10 with offloading
8B params
Top pick
RTX 5090 · 32 GB VRAM runs Q4 natively
Prices and availability may change · affiliate link
Javier Morales AI hardware specialist — 8 years of experience
GitHub: github.com/javier-morales-ia
llama.cpp 0.2.x · CUDA 12 · ROCm 6 · updated monthly · methodology →
Execution Context
ARCHITECTURE TRANSFORMER
QUANTIZATION 4-BIT GGUF
PROVIDER Stability AI
LICENSE Stability AI Community
VRAM REQUIREMENT
10 GB
4GB 8GB 12GB 16GB 24GB+
Hardware Decision
This model requires aMid-range GPU (16 GB VRAM)
Compatible GPUs for Stable Diffusion 3.5 Large
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
24 GB VRAM · Q4 native Amazon
RTX 4090
Prós
- Runs Stable Diffusion 3.5 Large at Q4 natively
- 24 GB VRAM — adequate headroom
128 GB VRAM · Q4 native Amazon
M4 Ultra
Prós
- Runs Stable Diffusion 3.5 Large at Q4 natively
- 128 GB VRAM — adequate headroom
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How to run this model
Check if your GPU can run Stable Diffusion 3.5 Large →
VRAM Calculator — instant compatibility check
RTX 5090
32 GB · Runs Q4 natively · Check availability
*Prices and availability may change. Some links are affiliate links.
System Requirements
GPU VRAM 10 GB Mid-range GPU
System RAM 16 GB
DDR4/DDR5
Storage 4 GB Q4 · SSD recommended
CPU Any modern CPU GPU required
VRAM by Quantization
| Quantization | VRAM needed | Disk space | Quality |
|---|---|---|---|
| FP16 (max quality) | 24 GB | 16 GB | Maximum |
| Q8 (high quality) | 14 GB | 8 GB | Near-lossless |
| Q4 (recommended) Best balance | 10 GB | 4 GB | Recommended |
| Q2 (minimum) | 8 GB | 2 GB | Quality loss |
Model Details
| Developer | Stability AI |
| Parameters | 8B |
| License | Stability AI Community |
| Use cases | image |
| Released | 2024-10 |
Hugging Face
stabilityai/stable-diffusion-3.5-large Technical Requirements
Can your GPU run Stable Diffusion 3.5 Large?
Stable Diffusion 3.5 Large requires <strong class="text-primary-container">10 GB VRAM</strong> at Q4. 29 consumer GPUs meet this threshold. Below 8 GB or 8 GB you'll hit significant offload latency.
8GB Critical min
10GB Optimal Q4
14GB High Quality Q8
24GB Max FP16
Hardware Performance Matrix
29 Q4 native · 10 offload
| GPU Unit | VRAM | Compatibility | Est. Speed | Action |
|---|---|---|---|---|
| RTX 5090 | 32GB | Optimal | 84 tok/s | Calculate → |
| RTX 4090 | 24GB | Optimal | 47 tok/s | Calculate → |
| M4 Ultra | 128GB | Optimal | 51 tok/s | Calculate → |
| RTX 5080 | 16GB | Optimal | 45 tok/s | Calculate → |
| M3 Ultra | 192GB | Optimal | 37 tok/s | Calculate → |
| RTX 4080 Super | 16GB | Optimal | 34 tok/s | Calculate → |
| RTX 5070 Ti | 16GB | Optimal | 42 tok/s | Calculate → |
| RTX 3090 | 24GB | Optimal | 44 tok/s | Calculate → |
| M4 Max 48GB | 48GB | Optimal | 25 tok/s | Calculate → |
| RX 7900 XTX | 24GB | Optimal | 45 tok/s | Calculate → |
| M4 Max 36GB | 36GB | Optimal | 25 tok/s | Calculate → |
| RTX 4070 Ti Super | 16GB | Optimal | 31 tok/s | Calculate → |
| RTX 3080 Ti | 12GB | Optimal | 33 tok/s | Calculate → |
| RX 7900 XT | 20GB | Optimal | 37 tok/s | Calculate → |
| RTX 5070 | 12GB | Optimal | 31 tok/s | Calculate → |
| RTX 3080 | 10GB | Optimal | 35 tok/s | Calculate → |
| M4 Pro | 24GB | Optimal | 13 tok/s | Calculate → |
| RX 7800 XT | 16GB | Optimal | 29 tok/s | Calculate → |
| RX 6800 XT | 16GB | Optimal | 20 tok/s | Calculate → |
| RTX 4070 | 12GB | Optimal | 20 tok/s | Calculate → |
| RTX 4060 Ti 16GB | 16GB | Optimal | 13 tok/s | Calculate → |
| RX 7700 XT | 12GB | Optimal | 18 tok/s | Calculate → |
| RX 6700 XT | 12GB | Optimal | 13 tok/s | Calculate → |
| M3 Pro | 18GB | Optimal | 7 tok/s | Calculate → |
| RTX 2080 Ti | 11GB | Optimal | 16 tok/s | Calculate → |
| RTX 3060 | 12GB | Optimal | 17 tok/s | Calculate → |
| M2 Pro | 16GB | Optimal | 9 tok/s | Calculate → |
| Arc A770 16GB | 16GB | Optimal | 8 tok/s | Calculate → |
| M1 Pro | 16GB | Optimal | 9 tok/s | Calculate → |
| RTX 3070 Ti | 8GB | Offload | 23 tok/s | Calculate → |
| RTX 4060 Ti | 8GB | Offload | 19 tok/s | Calculate → |
| RTX 3070 | 8GB | Offload | 19 tok/s | Calculate → |
| RTX 3060 Ti | 8GB | Offload | 18 tok/s | Calculate → |
| RTX 4060 | 8GB | Offload | 14 tok/s | Calculate → |
| RX 7600 | 8GB | Offload | 12 tok/s | Calculate → |
| RX 6600 XT | 8GB | Offload | 12 tok/s | Calculate → |
| Arc A750 8GB | 8GB | Offload | 9 tok/s | Calculate → |
| RX 6600 | 8GB | Offload | 10 tok/s | Calculate → |
| RTX 3050 8GB | 8GB | Offload | 9 tok/s | Calculate → |
Recommended GPUs for Stable Diffusion 3.5 Large
Benchmarks reais
Sem reviews pagas
Escolha editorial
Baseado em dados
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
RTX 5090
32 GB VRAM
Q4 native
Check availability →
RTX 4090
24 GB VRAM
Q4 native
Check availability →
M4 Ultra
128 GB VRAM
Q4 native
Check availability →
Alguns links são links de afiliado da Amazon. Podemos receber uma comissão sem custo adicional para si. O cookie da Amazon pode durar até 24 horas após o clique.
Stable Diffusion 3.5 Large — Compatibility guide
A lightweight model like Stable Diffusion 3.5 Large runs well on consumer hardware from 10 GB VRAM. Ideal for daily use with Ollama or LM Studio. Use the VRAM calculator to check your setup.
Compare GPUs for Stable Diffusion 3.5 Large
Which GPU is worth it? Real specs and benchmarks side by side.
Compatible Hardware
GPUs that run Stable Diffusion 3.5 Large at Q4 — sorted by AI performance score.
Benchmarks reais
Sem reviews pagas
Baseado em dados
Alguns links são links de afiliado da Amazon. Podemos receber uma comissão sem custo adicional para si. O cookie da Amazon pode durar até 24 horas após o clique.
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Not sure which GPU you need for Stable Diffusion 3.5 Large?
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RTX 5090
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