How Much Graphics Memory Does Wan 2.2 Need?
Quick Answer
The practical floor for Wan 2.2 on a local GPU is usually around 12GB VRAM for reduced settings, while 16GB is a safer target for steadier text-to-video runs. No single number covers every workflow because resolution, clip length, quantization, and offloading change memory use fast.
What GPU memory works for Wan 2.2 on a local PC?
A realistic entry point for running Wan 2.2 locally is 12GB VRAM, but that usually means conservative settings and less headroom. Based on typical local testing patterns with AI video models, 12GB tends to fit shorter clips, lower resolutions, or more aggressive memory-saving choices such as model offloading and quantized weights. In practice, 16GB VRAM is the more comfortable target because it reduces out-of-memory errors and gives you better stability during generation. If you plan to push longer sequences, larger frame sizes, or less compressed model variants, memory demand can rise quickly beyond that baseline.
The reason there is no single fixed number is that Wan 2.2 local generation depends on more than the model name alone. When evaluated in real-world setups, VRAM use changes with your workflow in ComfyUI, your chosen checkpoint or quantization format, frame count, resolution, batch size, and whether your system spills part of the load into system RAM. A card with 12GB may launch the model yet still feel impractical if render times become very long or generations fail mid-run. If you're buying or planning hardware, the safest advice is to treat 12GB as a starting floor, 16GB as a more dependable baseline, and 20GB to 24GB or higher as extra breathing room for experimentation.
Workflow | Likely minimum VRAM | What to expect |
|---|---|---|
| Text-to-video, low resolution, short clips | 12GB | Can run with reduced settings, quantization, or offloading; slower and less stable |
| Regular local use with fewer crashes | 16GB | Better margin for smoother runs and fewer memory errors |
| Higher resolution, longer clips, larger batches | 20GB-24GB+ | More headroom for experimentation and less need for memory-saving compromises |
🤔 Note:
If your GPU has 8GB or less, local Wan 2.2 use may still be possible in some edge cases, but it often requires heavy compromises and may not be practical for regular video generation.
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