Merge branch 'master' into feat/api-nodes/new-quiver-models
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Alexander Piskun 2026-04-17 19:51:09 +03:00 committed by GitHub
commit fab776ae26
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2 changed files with 5 additions and 5 deletions

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@ -401,7 +401,7 @@ class StabilityUpscaleConservativeNode(IO.ComfyNode):
], ],
is_api_node=True, is_api_node=True,
price_badge=IO.PriceBadge( price_badge=IO.PriceBadge(
expr="""{"type":"usd","usd":0.25}""", expr="""{"type":"usd","usd":0.4}""",
), ),
) )
@ -510,7 +510,7 @@ class StabilityUpscaleCreativeNode(IO.ComfyNode):
], ],
is_api_node=True, is_api_node=True,
price_badge=IO.PriceBadge( price_badge=IO.PriceBadge(
expr="""{"type":"usd","usd":0.25}""", expr="""{"type":"usd","usd":0.6}""",
), ),
) )
@ -593,7 +593,7 @@ class StabilityUpscaleFastNode(IO.ComfyNode):
], ],
is_api_node=True, is_api_node=True,
price_badge=IO.PriceBadge( price_badge=IO.PriceBadge(
expr="""{"type":"usd","usd":0.01}""", expr="""{"type":"usd","usd":0.02}""",
), ),
) )

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@ -161,12 +161,12 @@ class TextGenerateLTX2Prompt(TextGenerate):
) )
@classmethod @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:
if image is None: 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" 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: 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" 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, thinking) return super().execute(clip, formatted_prompt, max_length, sampling_mode, image, thinking, use_default_template)
class TextgenExtension(ComfyExtension): class TextgenExtension(ComfyExtension):