VRAM Calculator
Estimate GPU memory needed for image generation models
Production-grade image generation, precise control with LoRAs
VRAM Required
Base VRAM
10 GB
Precision
Half Precision (FP16)
Resolution Impact
×1
Batch Impact
×1
Compatible GPUs
NVIDIA RTX 4090
24GB VRAM • Enthusiast/Professional
Best overall for image generation. Silent, power-efficient for deep learning.
NVIDIA RTX 4080
16GB VRAM • Enthusiast
Great balance of cost and performance. Runs most models at FP16/Q8.
NVIDIA RTX 4070
12GB VRAM • Enthusiast
Good entry point. Runs Flux/SD3.5 at Q4 or smaller models at FP16.
NVIDIA RTX 3060
12GB VRAM • Budget
Older but still capable. Runs smaller models well, larger ones at Q4.
NVIDIA A100 (40GB)
40GB VRAM • Professional
Enterprise-grade. Rare outside cloud rental. Runs anything.
NVIDIA H100 (80GB)
80GB VRAM • Enterprise
Latest flagship. Fastest inference. Overkill for most image generation.
NVIDIA L40 (48GB)
48GB VRAM • Professional
Great for rendering + ML. Good middle ground between consumer/enterprise.
NVIDIA A10G (24GB)
24GB VRAM • Professional
AWS standard. Runs all Flux/SD3.5 models. Good balance.