Stable Diffusion XL 1.0
Stable Diffusion · Stability AI Community License
The standard for local image generation. 1024x1024 base resolution. Massive LoRA/checkpoint ecosystem. Runs well on 8GB+ VRAM. VRAM usage varies by resolution and batch size; 6.5GB is for single 1024x1024 generation.
- Parameters
- 6.6B
- Architecture
- Dense
- Context
- 77 tokens
- Released
- 2023-07-26
- Engines
- ComfyUI, Automatic1111, Fooocus, InvokeAI
Parameters
6.6B
VRAM
6.5 GB
Context
0K
Formats
1
GPUs
22
Stable Diffusion XL 1.0 (6.6B) requires 6.5 GB VRAM at recommended quality (FP16). On NVIDIA Grace Blackwell Ultra GB300, expect approximately 18 tok/s at FP16. For the best experience, Starter AI Desktop ($582) is recommended.
Source: OwnRig methodology
6.5 GB
FP16
6.5 GB
0K tokens
Image gen
Compatible GPUs
22 devices| NVIDIA Grace Blackwell Ultra GB300 | FP16 | 18 tok/s | Excellent |
| NVIDIA GeForce RTX 3080 10GB | FP16 | – | Excellent |
| NVIDIA GeForce RTX 4070 Ti 12GB | FP16 | – | Excellent |
| NVIDIA RTX 4080 Laptop (120-150W) | FP16 | – | Excellent |
| NVIDIA GeForce RTX 4080 Super | FP16 | – | Excellent |
| NVIDIA GeForce RTX 4090 | FP16 | – | Excellent |
| NVIDIA GeForce RTX 5080 | FP16 | – | Excellent |
| NVIDIA GeForce RTX 5090 | FP16 | – | Excellent |
| AMD Radeon RX 7900 XTX | FP16 | – | Excellent |
| AMD Radeon Pro W7900 | FP16 | – | Excellent |
| NVIDIA RTX PRO 6000 Blackwell | FP16 | – | Excellent |
| NVIDIA RTX PRO 6000 Blackwell Max-Q | FP16 | – | Excellent |
| AMD Radeon RX 9070 | FP16 | – | Excellent |
| AMD Radeon RX 9060 XT 16GB | FP16 | – | Excellent |
| AMD Radeon RX 9060 XT 8GB | FP16 | – | Excellent |
| Apple M3 Pro (18GB Unified) | FP16 | – | Good |
| NVIDIA GeForce RTX 3060 12GB | FP16 | – | Good |
| NVIDIA GeForce RTX 4060 8GB | FP16 | – | Good |
| NVIDIA RTX 4060 Laptop (40-60W) | FP16 | – | Good |
| NVIDIA RTX 4070 Laptop (80-115W) | FP16 | – | Good |
| AMD Radeon RX 7600 | FP16 | – | Good |
| NVIDIA GeForce RTX 5060 8GB | FP16 | – | Good |
Showing 22 of 22 entries
Recommended Builds
Complete PC builds that can run Stable Diffusion XL 1.0.
AMD AI Powerhouse
24 GB of AI power at nearly half the NVIDIA price
Runs 7 models
Budget AI Desktop
Your own AI coding setup for under $800
Runs 7 models
Mac Studio AI Builder
Plug in and run AI: silent, powerful, no assembly required
Runs 6 models
Mid-Range AI Workstation
The sweet spot for AI: handles most models without overspending
Runs 8 models
Next-Gen AI Workstation
The fastest single GPU, built around the new RTX 5090
Runs 6 models
Silent Mini-ITX AI Box
Whisper-quiet AI processing for noise-sensitive environments
Runs 8 models
Frequently Asked Questions
- How much VRAM does Stable Diffusion XL 1.0 need?
- Stable Diffusion XL 1.0 requires 6.5 GB VRAM at recommended quality (FP16).
- What is the best GPU for Stable Diffusion XL 1.0?
- The NVIDIA Grace Blackwell Ultra GB300 delivers the best performance for Stable Diffusion XL 1.0, achieving 18 tok/s at FP16 with an excellent rating.
Related Guides
Data confidence: verified. Source
VRAM requirements are calculated from model parameters and may vary by inference engine, context length, and batch size. Performance estimates are based on community benchmarks and should be verified for your specific configuration.Stable Diffusion is a trademark of its respective owner. OwnRig is not affiliated with or endorsed by the model creator.