diff --git a/lib/WeightInitializers/Project.toml b/lib/WeightInitializers/Project.toml
index bb39b7955d..fbe612a00f 100644
--- a/lib/WeightInitializers/Project.toml
+++ b/lib/WeightInitializers/Project.toml
@@ -1,7 +1,7 @@
 name = "WeightInitializers"
 uuid = "d49dbf32-c5c2-4618-8acc-27bb2598ef2d"
 authors = ["Avik Pal <avikpal@mit.edu> and contributors"]
-version = "1.0.4"
+version = "1.1.0"
 
 [deps]
 ArgCheck = "dce04be8-c92d-5529-be00-80e4d2c0e197"
@@ -18,6 +18,7 @@ CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
 ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
 GPUArrays = "0c68f7d7-f131-5f86-a1c3-88cf8149b2d7"
 Metal = "dde4c033-4e86-420c-a63e-0dd931031962"
+Reactant = "3c362404-f566-11ee-1572-e11a4b42c853"
 oneAPI = "8f75cd03-7ff8-4ecb-9b8f-daf728133b1b"
 
 [extensions]
@@ -27,6 +28,7 @@ WeightInitializersChainRulesCoreExt = "ChainRulesCore"
 WeightInitializersGPUArraysExt = "GPUArrays"
 WeightInitializersMetalExt = ["Metal", "GPUArrays"]
 WeightInitializersoneAPIExt = ["oneAPI", "GPUArrays"]
+WeightInitializersReactantExt = "Reactant"
 
 [compat]
 AMDGPU = "0.9.6, 1"
@@ -39,6 +41,7 @@ GPUArraysCore = "0.1.6, 0.2"
 LinearAlgebra = "1.10"
 Metal = "1.3.0"
 Random = "1.10"
+Reactant = "0.2.16"
 SpecialFunctions = "2.4"
 Statistics = "1.10"
 julia = "1.10"
diff --git a/lib/WeightInitializers/ext/WeightInitializersReactantExt.jl b/lib/WeightInitializers/ext/WeightInitializersReactantExt.jl
new file mode 100644
index 0000000000..980659e10c
--- /dev/null
+++ b/lib/WeightInitializers/ext/WeightInitializersReactantExt.jl
@@ -0,0 +1,23 @@
+module WeightInitializersReactantExt
+
+using Reactant: Reactant, TracedUtils, TracedRNG, ConcreteRNG, TracedRArray
+using WeightInitializers: DeviceAgnostic
+
+# random numbers are automatically handled
+
+function DeviceAgnostic.ones(::ConcreteRNG, ::Type{T}, dims::Integer...) where {T <: Number}
+    return Reactant.to_rarray(ones(T, dims...))
+end
+function DeviceAgnostic.zeros(
+        ::ConcreteRNG, ::Type{T}, dims::Integer...) where {T <: Number}
+    return Reactant.to_rarray(zeros(T, dims...))
+end
+
+function DeviceAgnostic.ones(::TracedRNG, ::Type{T}, dims::Integer...) where {T <: Number}
+    return TracedUtils.promote_to(TracedRArray{T, length(dims)}, ones(T, dims...))
+end
+function DeviceAgnostic.zeros(::TracedRNG, ::Type{T}, dims::Integer...) where {T <: Number}
+    return TracedUtils.promote_to(TracedRArray{T, length(dims)}, zeros(T, dims...))
+end
+
+end