diff --git a/README.md b/README.md
index 1721cefa52e..c4dfc8be174 100644
--- a/README.md
+++ b/README.md
@@ -37,7 +37,7 @@
 
 ComfyUI is the AI creation engine for visual professionals who demand control over every model, every parameter, and every output. Its powerful and modular node graph interface empowers creatives to generate images, videos, 3D models, audio, and more...
 - ComfyUI natively supports the latest open-source state of the art models.
-- API nodes provide access to the best closed source models such as Nano Banana, Seedance, Hunyuan3D, etc.
+- [Partner nodes](https://docs.comfy.org/tutorials/partner-nodes/overview#partner-nodes) provide access to the best closed source models such as Nano Banana, Seedance, Hunyuan3D, etc.
 - It is available on Windows, Linux, and macOS, locally with our [desktop application](https://www.comfy.org/download), our [portable install](#installing) or on our [cloud](https://www.comfy.org/cloud).
 - The most sophisticated workflows can be exposed through a simple UI thanks to App Mode.
 - It integrates seamlessly into production pipelines with our API endpoints.
diff --git a/comfy/ldm/lightricks/vae/na_diffusion_decoder.py b/comfy/ldm/lightricks/vae/na_diffusion_decoder.py
index 8a172e10172..ec539c66587 100644
--- a/comfy/ldm/lightricks/vae/na_diffusion_decoder.py
+++ b/comfy/ldm/lightricks/vae/na_diffusion_decoder.py
@@ -22,6 +22,7 @@
 import torch.nn.functional as F
 from einops import rearrange
 from torch import nn
+import comfy.model_management
 
 from comfy.ldm.lightricks.model import get_timestep_embedding
 from .causal_video_autoencoder import Encoder, processor
@@ -74,8 +75,12 @@ def default_rope_dim_split(head_dim):
 
 
 def rope_inv_freqs(dim, base=10000.0, device=None):
+    out_device = device
+    if not comfy.model_management.supports_fp64(device):
+        device = torch.device("cpu")
+
     exponents = torch.arange(0, dim, 2, dtype=torch.float64, device=device) / dim
-    return (1.0 / torch.pow(torch.tensor(float(base), dtype=torch.float64, device=device), exponents)).to(torch.float32)
+    return (1.0 / torch.pow(torch.tensor(float(base), dtype=torch.float64, device=device), exponents)).to(dtype=torch.float32, device=out_device)
 
 
 def _rope_tables(lengths, inv_freqs, device):
diff --git a/comfy_extras/nodes_preview_any.py b/comfy_extras/nodes_preview_any.py
index d985f32879d..18bf7c1cdb0 100644
--- a/comfy_extras/nodes_preview_any.py
+++ b/comfy_extras/nodes_preview_any.py
@@ -29,7 +29,7 @@ def main(self, source=None):
             value = str(source)
         elif source is not None:
             try:
-                value = json.dumps(source, indent=4)
+                value = json.dumps(source, indent=4, ensure_ascii=False)
             except Exception:
                 try:
                     value = str(source)
diff --git a/requirements.txt b/requirements.txt
index 925b2eca436..f461e3b76a2 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,5 +1,5 @@
 comfyui-frontend-package==1.48.7
-comfyui-workflow-templates==0.11.39
+comfyui-workflow-templates==0.11.40
 comfyui-embedded-docs==0.5.9
 torch
 torchsde
diff --git a/tests-unit/comfy_extras_test/nodes_preview_any_test.py b/tests-unit/comfy_extras_test/nodes_preview_any_test.py
new file mode 100644
index 00000000000..563c1f1b092
--- /dev/null
+++ b/tests-unit/comfy_extras_test/nodes_preview_any_test.py
@@ -0,0 +1,30 @@
+from unittest.mock import patch, MagicMock
+
+mock_nodes = MagicMock()
+mock_nodes.MAX_RESOLUTION = 16384
+mock_server = MagicMock()
+
+with patch.dict("sys.modules", {"nodes": mock_nodes, "server": mock_server}):
+    from comfy_extras.nodes_preview_any import PreviewAny
+
+
+class TestPreviewAnyMain:
+    @staticmethod
+    def _exec(source) -> dict:
+        return PreviewAny().main(source)
+
+    def test_dict_keeps_non_ascii(self):
+        result = self._exec({"greeting": "你好"})
+        assert "你好" in result["ui"]["text"][0]
+        assert "\\u" not in result["ui"]["text"][0]
+        assert result["result"][0] == result["ui"]["text"][0]
+
+    def test_list_keeps_non_ascii(self):
+        result = self._exec(["你好", "こんにちは"])
+        assert "こんにちは" in result["result"][0]
+        assert "\\u" not in result["result"][0]
+
+    def test_string_passthrough(self):
+        result = self._exec("你好")
+        assert result["ui"]["text"][0] == "你好"
+        assert result["result"][0] == "你好"