ComfyUI Wan2.2 i2v workflow may no longer keep models cached in RAM
Fun-Class3451 · reddit · 2026-07-22
A ComfyUI user reports that the new Wan2.2 i2v standard workflow does not seem to keep models cached in RAM between runs, unlike the older KJ Workflow with WanVideoHelper Nodes.
- After upgrading to int8 quantized models, the system only uses about 10 GB of RAM during the run.
- The user says that in the previous workflow, models stayed cached in memory, which avoided reloading from SSD on every run or model switch.
- They ask whether this is expected behavior or if a startup flag is needed.
- The post is essentially a local inference workflow troubleshooting note for Wan2.2 in ComfyUI.
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