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olivv-cs-ComfyUI-FunPack/docs/FunPackSaveRefinementLatent.md
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FunPack Save Refinement Latent

This node saves a latent tensor bundle under a refinement key so FunPack Video Refiner can use it as an optional latent refinement reference on later runs.

Parameters

latent: Latent tensor bundle to save.

refinement_key: Name of the refinement session. Use the same key in FunPack Video Refiner.

mode: Tokenizer mode namespace. Use the same mode as FunPack Video Refiner.

Outputs

latent: Passthrough latent.

status: Save status with the stored tensor shape.

Notes

The saved latent lives in FunPack's local refinements folder as a PyTorch tensor file. The refiner only uses it when both the key and mode match. If the refiner receives a latent and no saved reference exists, it saves the incoming latent automatically. Zero-valued latent positions are treated as intentional and are not refined.