920 B
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 and the refined_latent output is connected. 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.