From f0e3d9b5e07f59b5d7f7cf1cb11b77533d63d6e4 Mon Sep 17 00:00:00 2001 From: Ramon Guthrie <156688666+RamonGuthrie@users.noreply.github.com> Date: Mon, 6 Jul 2026 11:39:12 +0100 Subject: [PATCH] Enhance README with RBG Smart Seed Variance details Added description of RBG Smart Seed Variance node and its benefits. --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 951b2fe..6be9e9b 100644 --- a/README.md +++ b/README.md @@ -6,6 +6,7 @@ Some generative models (like Krea 2, Z-Image Turbo and Qwen-Image) suffer from **limited seed variance & diversity bias** — changing the seed (especially in single-step or Turbo workflows) often produces nearly identical compositions or subtle variations. Conversely, highly sensitive multi-encoder models (like Flux or Wan 2.2) can easily collapse or lose prompt alignment when raw noise is injected. The **RBG Smart Seed Variance** node solves this by injecting targeted, mathematically structured noise directly into text embeddings during early generation steps. It creates meaningful diversity, styling variation, and composition shifting while preserving your core prompt intention. + --- Screenshot 2025-12-09 140138