small update on rotary embedding (#9354)

* update

* fix

---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

src/diffusers/models/embeddings.py

@@ -608,8 +608,11 @@ def get_1d_rotary_pos_embed(
         pos = torch.from_numpy(pos)  # type: ignore  # [S]
 
     theta = theta * ntk_factor
-    freqs = 1.0 / (theta ** (torch.arange(0, dim, 2, dtype=freqs_dtype)[: (dim // 2)] / dim)) / linear_factor  # [D/2]
-    freqs = freqs.to(pos.device)
+    freqs = (
+        1.0
+        / (theta ** (torch.arange(0, dim, 2, dtype=freqs_dtype, device=pos.device)[: (dim // 2)] / dim))
+        / linear_factor
+    )  # [D/2]
     freqs = torch.outer(pos, freqs)  # type: ignore   # [S, D/2]
     if use_real and repeat_interleave_real:
         # flux, hunyuan-dit, cogvideox