Question 1

How much VRAM do I need for Stable Diffusion?

Accepted Answer

Stable Diffusion 1.5 needs 4 GB VRAM at FP16. SDXL requires 6-8 GB for FP16 or 4-5 GB with FP8 quantization. Models like Stable Diffusion 3.5 Large need 8+ GB at FP8 or 12+ GB at FP16.

Question 2

Can my GPU run Flux?

Accepted Answer

Flux Dev and Schnell require about 12 GB VRAM at FP8, or can run on 6-8 GB GPUs using GGUF Q4 quantization. An RTX 3060 12GB can run Flux at FP8 comfortably. 8 GB GPUs like the RTX 4060 can run Flux via GGUF quantization.

Question 3

Is 8GB VRAM enough for AI image generation?

Accepted Answer

Yes, 8 GB VRAM can run most popular image generation models. Stable Diffusion 1.5 and SDXL run at full quality, while larger models like Flux and SD 3.5 work via FP8 or GGUF quantization. Video and 3D models may require quantization or CPU offloading.

Question 4

What GPU do I need for AI video generation?

Accepted Answer

Lightweight video models like AnimateDiff (SD 1.5) run on 6 GB VRAM. For WAN 2.1/2.2 and HunyuanVideo, 8-12 GB VRAM is recommended with quantization. For full-quality 14B parameter models, 24 GB VRAM (RTX 4090/3090) is ideal.

Question 5

Which AI models can I run on an RTX 3060?

Accepted Answer

An RTX 3060 12GB can run most AI image models at full quality including SDXL, Flux (FP8), and Stable Diffusion 3.5 Medium. For video, AnimateDiff and WAN 2.1 1.3B work well. Larger models like WAN 14B require GGUF quantization.

Can My GPU Run?

Image, Video, 3D & Audio

Real VRAM Requirements

NVIDIA, AMD & Apple Silicon

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