Stable Diffusion XL 1.0
Stability AI · dense · 3.5B parameters · 77 context
Parameters
3.5B
Context Window
0K tokens
Architecture
Dense
Best GPU
RTX 4070 Ti
Intelligence Brief
Stable Diffusion XL 1.0 is a 3.5B parameter DENSE model from Stability AI, featuring Multi-Head Attention (MHA) with 32 layers and 2,560 hidden dimensions. With a 77 token context window, it supports vision. For self-hosted inference, RTX 4070 Ti delivers optimal throughput at $237/month.
Recent changes
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Architecture Details
Memory Requirements
BF16 Weights
7.0 GB
FP8 Weights
3.5 GB
INT4 Weights
1.8 GB
GPU Compatibility Matrix
Stable Diffusion XL 1.0 is compatible with 100% of GPU configurations across 41 GPUs at 3 precision levels.
GPU Recommendations
BF16 · 1 GPU · vllm
100/100
score
Throughput
349.9 tok/s
Latency (ITL)
2.9ms
Est. TTFT
0ms
Cost/Month
$237
Cost/M Tokens
$0.26
BF16 · 1 GPU · vllm
100/100
score
Throughput
527.6 tok/s
Latency (ITL)
1.9ms
Est. TTFT
0ms
Cost/Month
$133
Cost/M Tokens
$0.10
BF16 · 1 GPU · vllm
100/100
score
Throughput
349.9 tok/s
Latency (ITL)
2.9ms
Est. TTFT
0ms
Cost/Month
$209
Cost/M Tokens
$0.23
Deployment Options
API Deployment
No API pricing available
Single GPU
RTX 4070 Ti
$237/mo
Min VRAM: 4 GB
Multi-GPU
RTX 3070 x2
438.8 tok/s
TP· $171/mo
API Pricing Comparison
No API pricing data available for this model.
Performance Estimates
Throughput by GPU
VRAM Breakdown (RTX 4070 Ti, BF16)
Precision Impact
bf16
7.0 GB
weights/GPU
~349.9 tok/s
fp8
3.5 GB
weights/GPU
Capabilities
Features
Supported Frameworks
Supported Precisions
Where to Deploy Stable Diffusion XL 1.0
Self-Hosted Infrastructure
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Frequently Asked Questions
How much VRAM does Stable Diffusion XL 1.0 need for inference?
Stable Diffusion XL 1.0 requires approximately 7.0 GB of VRAM at BF16 precision, 3.5 GB at FP8, or 1.8 GB at INT4 quantization. Additional VRAM is needed for KV-cache (163840 bytes per token) and activations (~2.00 GB).
What is the best GPU for Stable Diffusion XL 1.0?
The top recommended GPU for Stable Diffusion XL 1.0 is the RTX 4070 Ti using BF16 precision. It achieves approximately 349.9 tokens/sec at an estimated cost of $237/month ($0.26/M tokens). Score: 100/100.
How much does Stable Diffusion XL 1.0 inference cost?
Stable Diffusion XL 1.0 inference costs vary by provider and GPU setup. Use our calculator for detailed cost estimates across all providers.