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Integrate sigma refinement into Gemma refiner

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aimfordeb
2026-04-22 13:40:42 +03:00
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docs/FunPackGemmaEmbeddingRefiner.md
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@@ -16,6 +16,10 @@ This node analyzes the positive conditioning produced by your text encoder, trac
**positive_prompt**: Optional prompt text used for token analysis and concept-level feedback.
**sigmas**: Optional input sigma schedule to co-refine alongside the conditioning. When connected, the node preserves the first and last sigma exactly and only adjusts the middle values.
**sigma_strength**: Maximum amount of movement allowed for the middle sigma values when sigma refinement is enabled.
**reset_session**: If enabled, clears the saved training history for the selected refinement key and starts a fresh session.
**unlimited_history**: If enabled, disables history pruning.
@@ -38,6 +42,8 @@ This node analyzes the positive conditioning produced by your text encoder, trac
**loss_graph**: Graph image showing learning loss over total session iterations for the current refinement key.
**refined_sigmas**: Refined sigma schedule. If no `sigmas` input is connected, this output is empty.
## Purpose
Use this node when you want to iteratively tune prompt conditioning based on your own ratings instead of manually rewriting prompts every time. Over multiple runs, it builds a refinement profile for the selected `refinement_key`.