Merge branch 'master' into deepme987/add-execution-environment-api

Adds api.environment.get() to the public ComfyAPI — returns
"local" (default), "cloud", or "remote" based on the
COMFY_EXECUTION_ENVIRONMENT env var.

Custom nodes use this to adapt behavior for managed deployments
(e.g. skip model downloads when models are pre-provisioned).

comfy/text_encoders/lt.py

@@ -91,11 +91,11 @@ class Gemma3_12BModel(sd1_clip.SDClipModel):
         self.dtypes.add(dtype)
         super().__init__(device=device, layer=layer, layer_idx=layer_idx, textmodel_json_config={}, dtype=dtype, special_tokens={"start": 2, "pad": 0}, layer_norm_hidden_state=False, model_class=comfy.text_encoders.llama.Gemma3_12B, enable_attention_masks=attention_mask, return_attention_masks=attention_mask, model_options=model_options)
 
-    def generate(self, tokens, do_sample, max_length, temperature, top_k, top_p, min_p, repetition_penalty, seed, presence_penalty):
+    def generate(self, tokens, do_sample, max_length, temperature, top_k, top_p, min_p, repetition_penalty, seed):
         tokens_only = [[t[0] for t in b] for b in tokens]
         embeds, _, _, embeds_info = self.process_tokens(tokens_only, self.execution_device)
         comfy.utils.normalize_image_embeddings(embeds, embeds_info, self.transformer.model.config.hidden_size ** 0.5)
-        return self.transformer.generate(embeds, do_sample, max_length, temperature, top_k, top_p, min_p, repetition_penalty, seed, stop_tokens=[106], presence_penalty=presence_penalty)  # 106 is <end_of_turn>
+        return self.transformer.generate(embeds, do_sample, max_length, temperature, top_k, top_p, min_p, repetition_penalty, seed, stop_tokens=[106])  # 106 is <end_of_turn>
 
 class DualLinearProjection(torch.nn.Module):
     def __init__(self, in_dim, out_dim_video, out_dim_audio, dtype=None, device=None, operations=None):
@@ -189,8 +189,8 @@ class LTXAVTEModel(torch.nn.Module):
 
         return out.to(device=out_device, dtype=torch.float), pooled, extra
 
-    def generate(self, tokens, do_sample, max_length, temperature, top_k, top_p, min_p, repetition_penalty, seed, presence_penalty):
-        return self.gemma3_12b.generate(tokens["gemma3_12b"], do_sample, max_length, temperature, top_k, top_p, min_p, repetition_penalty, seed, presence_penalty)
+    def generate(self, tokens, do_sample, max_length, temperature, top_k, top_p, min_p, repetition_penalty, seed):
+        return self.gemma3_12b.generate(tokens["gemma3_12b"], do_sample, max_length, temperature, top_k, top_p, min_p, repetition_penalty, seed)
 
     def load_sd(self, sd):
         if "model.layers.47.self_attn.q_norm.weight" in sd:

comfy_api/latest/__init__.py

@@ -15,6 +15,7 @@ from comfy_execution.progress import get_progress_state, PreviewImageTuple
 from PIL import Image
 from comfy.cli_args import args
 import numpy as np
+import os
 
 
 class ComfyAPI_latest(ComfyAPIBase):
@@ -25,6 +26,7 @@ class ComfyAPI_latest(ComfyAPIBase):
         super().__init__()
         self.node_replacement = self.NodeReplacement()
         self.execution = self.Execution()
+        self.environment = self.Environment()
         self.caching = self.Caching()
 
     class NodeReplacement(ProxiedSingleton):
@@ -85,6 +87,27 @@ class ComfyAPI_latest(ComfyAPIBase):
                 image=to_display,
             )
 
+    class Environment(ProxiedSingleton):
+        """
+        Query the current execution environment.
+
+        Managed deployments set the ``COMFY_EXECUTION_ENVIRONMENT`` env var
+        so custom nodes can adapt their behaviour at runtime.
+
+        Example::
+
+            from comfy_api.latest import api
+
+            env = api.environment.get()  # "local" | "cloud" | "remote"
+        """
+
+        _VALID = {"local", "cloud", "remote"}
+
+        async def get(self) -> str:
+            """Return the execution environment: ``"local"``, ``"cloud"``, or ``"remote"``."""
+            value = os.environ.get("COMFY_EXECUTION_ENVIRONMENT", "local").lower().strip()
+            return value if value in self._VALID else "local"
+
     class Caching(ProxiedSingleton):
         """
         External cache provider API for sharing cached node outputs

comfy_api_nodes/nodes_topaz.py

@@ -38,7 +38,6 @@ from comfy_api_nodes.util import (
 UPSCALER_MODELS_MAP = {
     "Starlight (Astra) Fast": "slf-1",
     "Starlight (Astra) Creative": "slc-1",
-    "Starlight Precise 2.5": "slp-2.5",
 }
 
 

requirements.txt

@@ -1,5 +1,5 @@
 comfyui-frontend-package==1.42.8
-comfyui-workflow-templates==0.9.38
+comfyui-workflow-templates==0.9.36
 comfyui-embedded-docs==0.4.3
 torch
 torchsde