New workflow/workflow_ltx_audio_api.json: Audio Wave + Segments + LoadImage (subject)
+ Text (Prompt) holding the LTX audio system prompt -> Judge in chat mode
(json_output, model 3.5-9b) -> LTX beats JSON on the analysis output. Added a tiny
CalibratorText node ('Text (Prompt)', STRING source) needed to feed the judge's
forceInput system_prompt/user_prompt/axes sockets. README points to the workflow.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
28 lines
755 B
Python
28 lines
755 B
Python
"""
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Text (Prompt) node — a plain multiline STRING source.
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Needed because the judge's system_prompt / user_prompt / axes / reference_description
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are input sockets (forceInput): wire this node into them to type a value. Handy for the
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LTX system prompt, custom axes, etc.
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"""
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from __future__ import annotations
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class CalibratorText:
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CATEGORY = "prompt_calibrator"
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FUNCTION = "out"
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RETURN_TYPES = ("STRING",)
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RETURN_NAMES = ("text",)
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@classmethod
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def INPUT_TYPES(cls):
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return {"required": {"text": ("STRING", {"default": "", "multiline": True})}}
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def out(self, text):
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return (text,)
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NODE_CLASS_MAPPINGS = {"CalibratorText": CalibratorText}
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NODE_DISPLAY_NAME_MAPPINGS = {"CalibratorText": "Text (Prompt)"}
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