12 GB VRAM12 TOOLS FIT THIS TIER

AI tools that run on 12 GB VRAM

Twelve gigabytes gives useful headroom for complex image graphs, quantized local LLMs, and selected compact video workflows. It is still a planning tier rather than a guarantee: model architecture, context, resolution, frames, precision, and offload settings can move a workload across the boundary.

YOUR POSITION ON THE VRAM SCALE

TYPICAL GPUS IN THIS TIER //

RTX 3060 12GBRTX 4070RTX 4070 SUPERRTX 5070

✓ WHAT YOU CAN RUN

Flux.1 [dev] at FP8 — the practical Flux sweet spot
LTX-Video and CogVideoX 2B for local video
AnimateDiff motion modules on SD1.5
Selected quantized LLMs with model and KV cache validated together
Constrained SDXL LoRA configurations with memory-saving options

✕ WHAT STAYS OUT OF REACH

Large video variants at high precision without substantial offload
Upstream-documented Flux training paths aimed at larger memory budgets
70B LLMs without CPU offload

[ READ THE ASSUMPTIONS ]

VRAM tier ≠ universal guarantee

These are planning envelopes. Model variant, precision, resolution, frame count, context, cache, runtime, and offload can move the same workload across tiers. The guide shows how to validate a real ComfyUI graph before buying hardware.

VRAM decision guide →