diff --git a/src/diffusers/models/transformers/transformer_ltx2.py b/src/diffusers/models/transformers/transformer_ltx2.py
index 2f31054319..9c41bf949e 100644
--- a/src/diffusers/models/transformers/transformer_ltx2.py
+++ b/src/diffusers/models/transformers/transformer_ltx2.py
@@ -47,6 +47,7 @@ def apply_interleaved_rotary_emb(x: torch.Tensor, freqs: Tuple[torch.Tensor, tor
 def apply_split_rotary_emb(x: torch.Tensor, freqs: Tuple[torch.Tensor, torch.Tensor]) -> torch.Tensor:
     cos, sin = freqs
 
+    x_dtype = x.dtype
     needs_reshape = False
     if x.ndim != 4 and cos.ndim == 4:
         # cos is (b, h, t, r) -> reshape x to (b, h, t, dim_per_head)
@@ -61,7 +62,7 @@ def apply_split_rotary_emb(x: torch.Tensor, freqs: Tuple[torch.Tensor, torch.Ten
     r = last // 2
 
     # (..., 2, r)
-    split_x = x.reshape(*x.shape[:-1], 2, r)
+    split_x = x.reshape(*x.shape[:-1], 2, r).float()  # Explicitly upcast to float
     first_x = split_x[..., :1, :]   # (..., 1, r)
     second_x = split_x[..., 1:, :]  # (..., 1, r)
 
@@ -80,6 +81,7 @@ def apply_split_rotary_emb(x: torch.Tensor, freqs: Tuple[torch.Tensor, torch.Ten
     if needs_reshape:
         out = out.swapaxes(1, 2).reshape(b, t, -1)
 
+    out = out.to(dtype=x_dtype)
     return out