Datasheet for local AI50 models99 GPUsData read 2026-10-01
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12 GB or 16 GB VRAM for ComfyUI: what the extra 4 GB gets you

Model by model: for 35 of 50 image and video models, 16 GB gives a better file or a better verdict than 12 GB. Here is exactly which ones.

G.02BuyingUpdated 2026-10-01

The most common buying question for local AI is whether 16 GB is worth it over 12 GB (an RTX 3060 12 GB, RTX 5070 or 4070 against an RTX 5060 Ti 16 GB or 4060 Ti 16 GB). Instead of guessing, here is what changes for every model on this site, with the same rule used everywhere else.

The short answer

For 35 of 50 models, 16 GB gives you either a better verdict or a better file. For 27 of them the verdict itself improves (for example from a compressed GGUF to an 8-bit file, or from offloading to fitting entirely). For the other 15, both sizes behave the same: small models already fit in 12 GB, and the biggest ones do not fit in 16 GB either.

Where 16 GB makes a difference

Model12 GB16 GB
Ideogram 4Offload only Q4_1Runs Q4_1
Wan 2.1 I2V 480POffload only Q3_K_MRuns Q4_K_M
Boogu-ImageRuns Q5_1Runs well FP8
FLUX.1 FillRuns Q5_K_SRuns well Q8_0
FLUX.1 KontextRuns Q5_K_MRuns well FP8
FLUX.1 KreaRuns Q5_K_MRuns well FP8
FLUX.1 devRuns Q5_K_SRuns well FP8
FLUX.1 schnellRuns Q5_K_SRuns well FP8
HiDream-I1Tight Q3_K_MRuns Q5_K_M
HiDream-I1 FullTight Q3_K_MRuns Q5_K_M
HunyuanImage 2.1Tight Q2_KRuns Q4_K_M
HunyuanVideo 1.5Runs Q6_KRuns well FP8
HunyuanVideo 13BTight Q3_K_MRuns Q6_K
Krea 2Runs Q5_K_MRuns well FP8
LTX-2Offload only Q2_KTight Q3_K_M
LTX-2.3Offload only Q2_KTight Q3_K_M
LTX-2.5Offload only Q2_KTight Q2_K
LTX-Video 13BTight Q3_K_MRuns Q6_K
MiniMax H3 PrunedOffload only Q4_K_MTight Q3_K_M
Qwen-ImageTight Q2_KRuns Q4_K_M
SCAIL-2Offload only Q2_KTight Q3_K_M
Wan 2.1 14BTight Q3_K_MRuns Q5_K_M
Wan 2.1 I2V 720POffload only Q4_K_MTight Q3_K_M
Wan 2.2 I2VTight Q3_K_MRuns Q5_K_M
Wan 2.2 S2VOffload only Q4_K_MTight Q2_K
Wan 2.2 T2VTight Q3_K_MRuns Q5_K_M
Wan VACE 14BOffload only Q3_K_STight Q3_K_S
FLUX.2 devOffload only Q4_K_MOffload only Q2_K
Ming-ImageRuns well INT8Runs well 16-bit
Qwen-Image-EditTight Q2_KTight Q3_K_M
Wan 2.2 5BRuns well Q8_0Runs well 16-bit
Wan 2.2 AnimateTight Q2_KTight Q3_K_M
Wan Animate 2Tight Q2_KTight Q3_K_M
Z-ImageRuns well INT8Runs well 16-bit
Z-Image TurboRuns well INT8Runs well 16-bit

Verdicts and best files for a card with FP8 hardware (RTX 40/50). Calculated from real file sizes at about one megapixel for images and a short clip for video.

So which one?

  • Images only, mostly SDXL, FLUX.1 schnell, Z-Image Turbo or FLUX.2 klein: 12 GB is enough.
  • FLUX.1 dev in 8-bit, Qwen-Image, bigger edit models or any video: take 16 GB. The 8-bit files that keep full quality are around 12 GB on their own for FLUX.1 dev, and bigger for Qwen-Image.
  • Whatever you pick, get 32 GB of system RAM at least, and 64 GB for video. Why RAM matters.

My own numbers on a 16 GB card: everything on the RTX 5060 Ti 16 GB. Compare two exact cards: GPU comparisons.