GPUs/NVIDIA RTX 4000 Ada/Stable Video Diffusion

Can NVIDIA RTX 4000 Ada run Stable Video Diffusion?

1.5B parameter Video Gen model on 20GB GDDR6

Yes — runs at full precision
~0.2-0.4 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 RTX 4000 Ada has 20GB — enough to run it without any quantization.

FP16 (Full Precision)8GB (12GB free)

Maximum quality, no quantization

Q8 (8-bit)5GB (15GB free)

Near-lossless, ~50% size reduction

Q4 (4-bit)3.5GB (17GB free)

Good quality, ~75% size reduction

Your GPU VRAM: 20GB GDDR6 at 360 GB/s bandwidth
Recommended system RAM: 40GB DDR5 (2x GPU VRAM minimum for model overflow)

What This Means in Practice

NVIDIA RTX 4000 Ada 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 RTX 4000 Ada Specs

VRAM20GB GDDR6
Memory Bandwidth360 GB/s
TDP130W
CUDA Cores6,144
Street Price~$1100
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