# 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**: Plain video latent tensor bundle to save. In LTX audio/video workflows, connect the video output from `LTXVSeparateAVLatent`, not the audio latent or combined AV latent. **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. Audio latents and LTX audio/video combined `NestedTensor` latents are intentionally rejected. Use only the video latent side, then reconnect the refined result to `LTXVConcatAVLatent` as `video_latent`. If a separated LTX video latent still reports `type: audio`, it is accepted when its `samples` tensor has the 5D video latent shape. ## Unintended Usage Boundaries - Do not connect the sampler's combined AV latent directly to this node. - Do not connect the audio output from `LTXVSeparateAVLatent`. - Do not connect the output of `LTXVConcatAVLatent` back into this node. - Do not expect a saved latent to apply across different `refinement_key` or `mode` values. - Do not expect an old saved latent shape to resize a new generation. If the current latent shape changes, `FunPack Video Refiner` rewrites the reference and passes the current latent through unchanged. - Do not use this node as a general latent cache. It stores the reference used by the Video Refiner and may be replaced by reset/session behavior.