diff --git a/Project.toml b/Project.toml
index 66b06685..162f651e 100644
--- a/Project.toml
+++ b/Project.toml
@@ -1,6 +1,6 @@
 name = "Bijectors"
 uuid = "76274a88-744f-5084-9051-94815aaf08c4"
-version = "0.10.2"
+version = "0.10.3"
 
 [deps]
 ArgCheck = "dce04be8-c92d-5529-be00-80e4d2c0e197"
diff --git a/src/Bijectors.jl b/src/Bijectors.jl
index c6fa9a76..193327fa 100644
--- a/src/Bijectors.jl
+++ b/src/Bijectors.jl
@@ -230,24 +230,23 @@ function pd_logpdf_with_trans(d, X::AbstractMatrix{<:Real}, transform::Bool)
     end
     lp = getlogp(d, Xcf, X)
     if transform && isfinite(lp)
-        U = Xcf.U
-        d = dim(d)
-        lp += sum((d .- (1:d) .+ 2) .* log.(diag(U)))
-        lp += d * log(T(2))
+        n = size(d, 1)
+        lp += sum(((n + 2) .- (1:n)) .* log.(diag(Xcf.factors)))
+        lp += n * oftype(lp, IrrationalConstants.logtwo)
     end
     return lp
 end
 function getlogp(d::MatrixBeta, Xcf, X)
     n1, n2 = params(d)
-    p = dim(d)
+    p = size(d, 1)
     return ((n1 - p - 1) / 2) * logdet(Xcf) + ((n2 - p - 1) / 2) * logdet(I - X) + d.logc0
 end
 function getlogp(d::Wishart, Xcf, X)
-    return 0.5 * ((d.df - (dim(d) + 1)) * logdet(Xcf) - tr(d.S \ X)) + d.logc0
+    return ((d.df - (size(d, 1) + 1)) * logdet(Xcf) - tr(d.S \ X)) / 2 + d.logc0
 end
 function getlogp(d::InverseWishart, Xcf, X)
     Ψ = Matrix(d.Ψ)
-    return -0.5 * ((d.df + dim(d) + 1) * logdet(Xcf) + tr(Xcf \ Ψ)) + d.logc0
+    return -((d.df + size(d, 1) + 1) * logdet(Xcf) + tr(Xcf \ Ψ)) / 2 + d.logc0
 end
 
 include("utils.jl")
diff --git a/src/compat/distributionsad.jl b/src/compat/distributionsad.jl
index 85ef72ad..5402ce00 100644
--- a/src/compat/distributionsad.jl
+++ b/src/compat/distributionsad.jl
@@ -70,9 +70,9 @@ end
 ispd(::TuringWishart) = true
 ispd(::TuringInverseWishart) = true
 function getlogp(d::TuringWishart, Xcf, X)
-    return 0.5 * ((d.df - (dim(d) + 1)) * logdet(Xcf) - tr(d.chol \ X)) + d.logc0
+    return ((d.df - (size(d, 1) + 1)) * logdet(Xcf) - tr(d.chol \ X)) / 2 + d.logc0
 end
 function getlogp(d::TuringInverseWishart, Xcf, X)
     Ψ = d.S
-    return -0.5 * ((d.df + dim(d) + 1) * logdet(Xcf) + tr(Xcf \ Ψ)) + d.logc0
+    return -((d.df + size(d, 1) + 1) * logdet(Xcf) + tr(Xcf \ Ψ)) / 2 + d.logc0
 end
diff --git a/src/compat/zygote.jl b/src/compat/zygote.jl
index b16ef58b..e2adf050 100644
--- a/src/compat/zygote.jl
+++ b/src/compat/zygote.jl
@@ -108,11 +108,14 @@ function pd_logpdf_with_trans_zygote(
     end
     lp = getlogp(d, Xcf, X)
     if transform && isfinite(lp)
-        U = Xcf.U
-        @inbounds for i in 1:dim(d)
-            lp += (dim(d) - i + 2) * log(U[i, i])
+        factors = Xcf.factors
+        n = size(d, 1)
+        k = n + 2
+        @inbounds for i in diagind(factors)
+            k -= 1
+            lp += k * log(factors[i])
         end
-        lp += dim(d) * log(T(2))
+        lp += n * oftype(lp, IrrationalConstants.logtwo)
     end
     return lp
 end