GPUs/NVIDIA GeForce RTX 4080 SUPER/Stable Video Diffusion

Can NVIDIA GeForce RTX 4080 SUPER run Stable Video Diffusion?

1.5B parameter Video Gen model on 16GB GDDR6X

Yes — runs at full precision
~0.5-0.7 clips/min
SpeedFastest possible inference
QualityMaximum quality, no degradation

VRAM Requirements

Stable Video Diffusion is a 1.5B parameter model. At full precision (FP16), it requires 8GB of VRAM. Your NVIDIA GeForce RTX 4080 SUPER has 16GB — enough to run it without any quantization.

FP16 (Full Precision)8GB (8GB free)

Maximum quality, no quantization

Q8 (8-bit)5GB (11GB free)

Near-lossless, ~50% size reduction

Q4 (4-bit)3.5GB (13GB free)

Good quality, ~75% size reduction

Your GPU VRAM: 16GB GDDR6X at 736 GB/s bandwidth
Recommended system RAM: 32GB DDR5 (2x GPU VRAM minimum for model overflow)

What This Means in Practice

NVIDIA GeForce RTX 4080 SUPER can run Stable Video Diffusion at full precision for video generation. You can generate short video clips from text prompts or images at maximum quality. Video generation is very compute-intensive — expect each clip to take 30 seconds to several minutes depending on resolution and length.

NVIDIA GeForce RTX 4080 SUPER Specs

VRAM16GB GDDR6X
Memory Bandwidth736 GB/s
TDP320W
CUDA Cores10,240
Street Price~$950
AI Rating7/10

About Stable Video Diffusion

Stability AI's image-to-video model. Takes a still image and animates it into a short video clip. Lightweight VRAM requirements make it accessible on most GPUs. Great entry point for video generation.

Category: Video Gen · Parameters: 1.5B · CUDA required: Recommended