diff --git a/comfy/sd.py b/comfy/sd.py
index 0bfff951b..304d180aa 100644
--- a/comfy/sd.py
+++ b/comfy/sd.py
@@ -426,7 +426,7 @@ class CLIP:
     def get_key_patches(self):
         return self.patcher.get_key_patches()
 
-    def generate(self, tokens, do_sample=True, max_length=256, temperature=1.0, top_k=50, top_p=0.95, min_p=0.0, repetition_penalty=1.0, presence_penalty=0.0, seed=None):
+    def generate(self, tokens, do_sample=True, max_length=256, temperature=1.0, top_k=50, top_p=0.95, min_p=0.0, repetition_penalty=1.0, seed=None, presence_penalty=0.0):
         self.cond_stage_model.reset_clip_options()
 
         self.load_model(tokens)
diff --git a/comfy/sd1_clip.py b/comfy/sd1_clip.py
index 7cdc87c1e..ffb7666ff 100644
--- a/comfy/sd1_clip.py
+++ b/comfy/sd1_clip.py
@@ -740,5 +740,5 @@ class SD1ClipModel(torch.nn.Module):
     def load_sd(self, sd):
         return getattr(self, self.clip).load_sd(sd)
 
-    def generate(self, tokens, do_sample=True, max_length=256, temperature=1.0, top_k=50, top_p=0.95, min_p=0.0, repetition_penalty=1.0, presence_penalty=0.0, seed=None):
+    def generate(self, tokens, do_sample=True, max_length=256, temperature=1.0, top_k=50, top_p=0.95, min_p=0.0, repetition_penalty=1.0, seed=None, presence_penalty=0.0):
         return getattr(self, self.clip).generate(tokens, do_sample=do_sample, max_length=max_length, temperature=temperature, top_k=top_k, top_p=top_p, min_p=min_p, repetition_penalty=repetition_penalty, seed=seed, presence_penalty=presence_penalty)
diff --git a/comfy/text_encoders/qwen35.py b/comfy/text_encoders/qwen35.py
index 03b273d31..ce9b07464 100644
--- a/comfy/text_encoders/qwen35.py
+++ b/comfy/text_encoders/qwen35.py
@@ -44,7 +44,7 @@ class Qwen35Config:
     qkv_bias: bool = False
     final_norm: bool = True
     lm_head: bool = False
-    stop_tokens: list = field(default_factory=lambda: [248044])
+    stop_tokens: list = field(default_factory=lambda: [248044, 248046])
     # These are needed for BaseLlama/BaseGenerate compatibility but unused directly
     transformer_type: str = "qwen35_2b"
     rope_dims: list = None
diff --git a/comfy_extras/nodes_textgen.py b/comfy_extras/nodes_textgen.py
index ecfaa1e77..efc5fb1d3 100644
--- a/comfy_extras/nodes_textgen.py
+++ b/comfy_extras/nodes_textgen.py
@@ -160,12 +160,12 @@ class TextGenerateLTX2Prompt(TextGenerate):
         )
 
     @classmethod
-    def execute(cls, clip, prompt, max_length, sampling_mode, image=None) -> io.NodeOutput:
+    def execute(cls, clip, prompt, max_length, sampling_mode, image=None, thinking=False) -> io.NodeOutput:
         if image is None:
             formatted_prompt = f"<start_of_turn>system\n{LTX2_T2V_SYSTEM_PROMPT.strip()}<end_of_turn>\n<start_of_turn>user\nUser Raw Input Prompt: {prompt}.<end_of_turn>\n<start_of_turn>model\n"
         else:
             formatted_prompt = f"<start_of_turn>system\n{LTX2_I2V_SYSTEM_PROMPT.strip()}<end_of_turn>\n<start_of_turn>user\n\n<image_soft_token>\n\nUser Raw Input Prompt: {prompt}.<end_of_turn>\n<start_of_turn>model\n"
-        return super().execute(clip, formatted_prompt, max_length, sampling_mode, image)
+        return super().execute(clip, formatted_prompt, max_length, sampling_mode, image, thinking)
 
 
 class TextgenExtension(ComfyExtension):