Added Support for Riverflow 2.5
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"""
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Runware Image Inference Inputs Fonts node.
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Builds inputs.fonts for image inference (up to 2 font references with url and text).
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"""
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from typing import Any, Dict, List, Tuple
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class RunwareImageInferenceInputsFonts:
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"""Build inputs.fonts[] for image inference requests."""
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MAX_FONTS = 2
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@classmethod
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def INPUT_TYPES(cls):
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optional_inputs = {}
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for i in range(1, cls.MAX_FONTS + 1):
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optional_inputs[f"fontUrl{i}"] = ("STRING", {
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"default": "",
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"tooltip": (
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f"Font file URL for reference {i}. Must be ttf, otf, woff, or woff2. "
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"Included when both fontUrl and text are non-empty."
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),
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})
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optional_inputs[f"text{i}"] = ("STRING", {
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"multiline": True,
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"default": "",
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"tooltip": f"Text to render with font reference {i}. Included when both fontUrl and text are non-empty.",
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})
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return {
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"required": {},
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"optional": optional_inputs,
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}
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RETURN_TYPES = ("RUNWAREIMAGEINFERENCEFONTS",)
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RETURN_NAMES = ("fonts",)
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FUNCTION = "create_fonts"
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CATEGORY = "Runware"
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DESCRIPTION = (
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"Configure inputs.fonts for Runware Image Inference (up to 2 entries). "
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"Each entry: { \"url\": \"<font URL>\", \"text\": \"<text to render>\" }. "
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"A slot is included only when both fontUrl and text are non-empty. "
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"Connect to Runware Image Inference Inputs."
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)
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def create_fonts(self, **kwargs) -> Tuple[List[Dict[str, Any]]]:
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fonts: List[Dict[str, Any]] = []
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for i in range(1, self.MAX_FONTS + 1):
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font_url = (kwargs.get(f"fontUrl{i}") or "").strip()
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text = (kwargs.get(f"text{i}") or "").strip()
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if len(font_url) > 0 and len(text) > 0:
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fonts.append({
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"url": font_url,
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"text": text,
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})
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return (fonts,)
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