GPUs/NVIDIA GeForce RTX 4090/Stable Video Diffusion

Can NVIDIA GeForce RTX 4090 run Stable Video Diffusion?

1.5B parameter Video Gen model on 24GB GDDR6X

Yes — runs at full precision
~0.7-1 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 4090 has 24GB — enough to run it without any quantization.

FP16 (Full Precision)8GB (16GB free)

Maximum quality, no quantization

Q8 (8-bit)5GB (19GB free)

Near-lossless, ~50% size reduction

Q4 (4-bit)3.5GB (21GB free)

Good quality, ~75% size reduction

Your GPU VRAM: 24GB GDDR6X at 1008 GB/s bandwidth
Recommended system RAM: 48GB DDR5 (2x GPU VRAM minimum for model overflow)

What This Means in Practice

NVIDIA GeForce RTX 4090 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 4090 Specs

VRAM24GB GDDR6X
Memory Bandwidth1008 GB/s
TDP450W
CUDA Cores16,384
Street Price~$1400
AI Rating9/10

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