diff --git a/config_builder_node.py b/config_builder_node.py
index cd14a57..23d9667 100644
--- a/config_builder_node.py
+++ b/config_builder_node.py
@@ -876,6 +876,10 @@ class UltimateConfigBuilder:
         # session_name moves into session_settings too so the Generator's
         # session_name widget can be removed (Phase 2).
         session_settings["session_name"] = str(state.get("session_name", "my_session"))
+        try:
+            session_settings["add_random_seeds_to_gens"] = int(state.get("add_random_seeds_to_gens", 0))
+        except (TypeError, ValueError):
+            session_settings["add_random_seeds_to_gens"] = 0
 
         if session_settings:
             output_obj["_session_settings"] = session_settings
diff --git a/sampler_node.py b/sampler_node.py
index 2fa19bb..1f1bdcd 100644
--- a/sampler_node.py
+++ b/sampler_node.py
@@ -320,6 +320,12 @@ class SamplerGridTester:
             if "session_name" in session_settings:
                 session_name = str(session_settings["session_name"])
                 print(f"[GridTester] ⚙️ session_name overridden by Builder UI: {session_name}")
+            if "add_random_seeds_to_gens" in session_settings:
+                try:
+                    add_random_seeds_to_gens = int(session_settings["add_random_seeds_to_gens"])
+                    print(f"[GridTester] ⚙️ add_random_seeds_to_gens overridden by Builder UI: {add_random_seeds_to_gens}")
+                except (TypeError, ValueError):
+                    pass
 
         return run_generation_loop(
             self,
diff --git a/web/conf_builder/conf-builder-config-management.js b/web/conf_builder/conf-builder-config-management.js
index 7f6ab16..74cad64 100644
--- a/web/conf_builder/conf-builder-config-management.js
+++ b/web/conf_builder/conf-builder-config-management.js
@@ -6878,6 +6878,7 @@ export function renderRunSettingsSection(node, container) {
     if (node.state.save_conditioning_cache_to_file === undefined) node.state.save_conditioning_cache_to_file = false;
     if (node.state.enable_model_cache === undefined) node.state.enable_model_cache = false;
     if (node.state.vae_batch_size === undefined) node.state.vae_batch_size = 1;
+    if (node.state.add_random_seeds_to_gens === undefined) node.state.add_random_seeds_to_gens = 0;
 
     const section = document.createElement("div");
     section.className = "cb-section full-width";
@@ -7035,6 +7036,8 @@ export function renderRunSettingsSection(node, container) {
         tooltip: "Experimental: intelligent model/LoRA caching with async background preloading. Speeds up generation when switching LoRAs frequently. Loads cached LoRAs from RAM instead of disk. Disable to reduce RAM/VRAM usage." });
     _addRunSetting(content, { stateKey: "vae_batch_size", label: "VAE Batch Size", kind: "int", min: -1, max: 64, defaultValue: 1,
         tooltip: "How many images to encode/decode per VAE pass. Lower = less VRAM. -1 = process all at once. Default: 4." });
+    _addRunSetting(content, { stateKey: "add_random_seeds_to_gens", label: "Additional Random Seeds", kind: "int", min: 0, max: 100, defaultValue: 0,
+        tooltip: "Generate this many extra images per config using additional random seeds. 0 = disabled." });
 
     section.appendChild(header);
     section.appendChild(content);