[pull] master from Comfy-Org:master

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.

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):

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)

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

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"