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feat: Support Qwen3.5 text generation models (#12771)

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This commit is contained in:
Jukka Seppänen
2026-03-26 04:48:28 +02:00
committed by GitHub
parent 6580a6bc01
commit 404d7b9978
8 changed files with 496842 additions and 29 deletions
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comfy_extras/nodes_textgen.py
+9 -5
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@@ -15,6 +15,7 @@ class TextGenerate(io.ComfyNode):
io.Float.Input("min_p", default=0.05, min=0.0, max=1.0, step=0.01),
io.Float.Input("repetition_penalty", default=1.05, min=0.0, max=5.0, step=0.01),
io.Int.Input("seed", default=0, min=0, max=0xffffffffffffffff),
io.Float.Input("presence_penalty", optional=True, default=0.0, min=0.0, max=5.0, step=0.01),
]
),
io.DynamicCombo.Option(
@@ -25,7 +26,7 @@ class TextGenerate(io.ComfyNode):
return io.Schema(
node_id="TextGenerate",
category="textgen/",
category="textgen",
search_aliases=["LLM", "gemma"],
inputs=[
io.Clip.Input("clip"),
@@ -33,6 +34,7 @@ class TextGenerate(io.ComfyNode):
io.Image.Input("image", optional=True),
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."),
],
outputs=[
io.String.Output(display_name="generated_text"),
@@ -40,9 +42,9 @@ class TextGenerate(io.ComfyNode):
)
@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:
tokens = clip.tokenize(prompt, image=image, skip_template=False, min_length=1)
tokens = clip.tokenize(prompt, image=image, skip_template=False, min_length=1, thinking=thinking)
# Get sampling parameters from dynamic combo
do_sample = sampling_mode.get("sampling_mode") == "on"
@@ -52,6 +54,7 @@ class TextGenerate(io.ComfyNode):
min_p = sampling_mode.get("min_p", 0.0)
seed = sampling_mode.get("seed", None)
repetition_penalty = sampling_mode.get("repetition_penalty", 1.0)
presence_penalty = sampling_mode.get("presence_penalty", 0.0)
generated_ids = clip.generate(
tokens,
@@ -62,6 +65,7 @@ class TextGenerate(io.ComfyNode):
top_p=top_p,
min_p=min_p,
repetition_penalty=repetition_penalty,
presence_penalty=presence_penalty,
seed=seed
)
@@ -156,12 +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):