Merge branch 'master' into master

comfy/ldm/ernie/model.py

@@ -15,7 +15,7 @@ def rope(pos: torch.Tensor, dim: int, theta: int) -> torch.Tensor:
 
     scale = torch.arange(0, dim, 2, dtype=torch.float64, device=device) / dim
     omega = 1.0 / (theta**scale)
-    out = torch.einsum("...n,d->...nd", pos, omega)
+    out = torch.einsum("...n,d->...nd", pos.to(device), omega)
     out = torch.stack([torch.cos(out), torch.sin(out)], dim=0)
     return out.to(dtype=torch.float32, device=pos.device)
 

comfy/ops.py

@@ -1151,7 +1151,7 @@ def mixed_precision_ops(quant_config={}, compute_dtype=torch.bfloat16, full_prec
                     if param is None:
                         continue
                     p = fn(param)
-                    if p.is_inference():
+                    if (not torch.is_inference_mode_enabled()) and p.is_inference():
                         p = p.clone()
                     self.register_parameter(key, torch.nn.Parameter(p, requires_grad=False))
                 for key, buf in self._buffers.items():

comfy_extras/nodes_preview_any.py

@@ -11,7 +11,7 @@ class PreviewAny():
             "required": {"source": (IO.ANY, {})},
         }
 
-    RETURN_TYPES = ()
+    RETURN_TYPES = (IO.STRING,)
     FUNCTION = "main"
     OUTPUT_NODE = True
 
@@ -33,7 +33,7 @@ class PreviewAny():
                 except Exception:
                     value = 'source exists, but could not be serialized.'
 
-        return {"ui": {"text": (value,)}}
+        return {"ui": {"text": (value,)}, "result": (value,)}
 
 NODE_CLASS_MAPPINGS = {
     "PreviewAny": PreviewAny,

comfy_extras/nodes_textgen.py

@@ -35,6 +35,7 @@ class TextGenerate(io.ComfyNode):
                 io.Int.Input("max_length", default=256, min=1, max=2048),
                 io.DynamicCombo.Input("sampling_mode", options=sampling_options, display_name="Sampling Mode"),
                 io.Boolean.Input("thinking", optional=True, default=False, tooltip="Operate in thinking mode if the model supports it."),
+                io.Boolean.Input("use_default_template", optional=True, default=True, tooltip="Use the built in system prompt/template if the model has one.", advanced=True),
             ],
             outputs=[
                 io.String.Output(display_name="generated_text"),
@@ -42,9 +43,9 @@ class TextGenerate(io.ComfyNode):
         )
 
     @classmethod
-    def execute(cls, clip, prompt, max_length, sampling_mode, image=None, thinking=False) -> io.NodeOutput:
+    def execute(cls, clip, prompt, max_length, sampling_mode, image=None, thinking=False, use_default_template=True) -> io.NodeOutput:
 
-        tokens = clip.tokenize(prompt, image=image, skip_template=False, min_length=1, thinking=thinking)
+        tokens = clip.tokenize(prompt, image=image, skip_template=not use_default_template, min_length=1, thinking=thinking)
 
         # Get sampling parameters from dynamic combo
         do_sample = sampling_mode.get("sampling_mode") == "on"

comfyui_version.py

@@ -1,3 +1,3 @@
 # This file is automatically generated by the build process when version is
 # updated in pyproject.toml.
-__version__ = "0.19.0"
+__version__ = "0.19.1"

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "ComfyUI"
-version = "0.19.0"
+version = "0.19.1"
 readme = "README.md"
 license = { file = "LICENSE" }
 requires-python = ">=3.10"

requirements.txt

@@ -1,5 +1,5 @@
-comfyui-frontend-package==1.42.10
-comfyui-workflow-templates==0.9.50
+comfyui-frontend-package==1.42.11
+comfyui-workflow-templates==0.9.54
 comfyui-embedded-docs==0.4.3
 torch
 torchsde