diff --git a/DESCRIPTION b/DESCRIPTION
index 5f11d20..28d9771 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: diffuseR
 Title: Functional Interface to Diffusion Models in R
-Version: 0.1.0.3
+Version: 0.1.0.4
 Authors@R: c(
     person("Troy", "Hernandez", email = "troy@cornball.ai", role = c("aut", "cre"),
            comment = c(ORCID = "0009-0005-4248-604X")),
diff --git a/R/load_pipeline.R b/R/load_pipeline.R
index c3f08ce..d76e408 100644
--- a/R/load_pipeline.R
+++ b/R/load_pipeline.R
@@ -35,6 +35,17 @@ load_pipeline <- function(model_name, m2d, i2i = FALSE, unet_dtype_str,
     device_cpu <- m2d$device_cpu
     device_cuda <- m2d$device_cuda
 
+    if (any(unlist(devices) == "cuda")) {
+        # Same chronic-allocator-gate fix as the FLUX/Z-Image pipelines
+        # (see .flux_gc_gates). Measured at 50 steps (native modules,
+        # decoder on CPU, RTX 5060 Ti 16 GB), warm generation:
+        # SDXL 1024^2 234 -> 100 s (gc 209 -> 75 s); SD 2.1 768^2
+        # 101 -> 26 s (gc 88 -> 15 s). Note the reduced gc cadence lets
+        # the garbage sawtooth ride higher (SD21 peak 5.4 -> 13.3 GB);
+        # cards much smaller than 16 GB may need different gate sizing.
+        .flux_gc_gates(footprint_gb = 12)
+    }
+
     pipeline <- list()
     # Load models into the environment
     if (i2i) {