110 lines
4.3 KiB
Python
110 lines
4.3 KiB
Python
from .utils import runwareUtils as rwUtils
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class imageInferenceInputs:
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"""Image Inference Inputs node for configuring image generation inputs"""
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {},
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"optional": {
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"image": ("IMAGE", {
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"tooltip": "Specifies an image input for the inference process."
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}),
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"Reference Image 1": ("IMAGE", {
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"tooltip": "Specifies Reference Image 1 for the inputs. These reference images help guide the image generation process."
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}),
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"Reference Tag 1": ("STRING", {
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"tooltip": "Optional tag describing Reference Image 1. Leave empty to omit.",
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"default": "",
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}),
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"Reference Image 2": ("IMAGE", {
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"tooltip": "Specifies Reference Image 2 for the inputs. These reference images help guide the image generation process."
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}),
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"Reference Tag 2": ("STRING", {
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"tooltip": "Optional tag describing Reference Image 2. Leave empty to omit.",
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"default": "",
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}),
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"Reference Image 3": ("IMAGE", {
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"tooltip": "Specifies Reference Image 3 for the inputs. These reference images help guide the image generation process."
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}),
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"Reference Tag 3": ("STRING", {
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"tooltip": "Optional tag describing Reference Image 3. Leave empty to omit.",
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"default": "",
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}),
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"Reference Image 4": ("IMAGE", {
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"tooltip": "Specifies Reference Image 4 for the inputs. These reference images help guide the image generation process."
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}),
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"Reference Tag 4": ("STRING", {
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"tooltip": "Optional tag describing Reference Image 4. Leave empty to omit.",
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"default": "",
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}),
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}
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}
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DESCRIPTION = "Configure custom inputs for Runware Image Inference, including reference images that can be passed to the inference node."
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FUNCTION = "createInputs"
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RETURN_TYPES = ("RUNWAREIMAGEINFERENCEINPUTS",)
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RETURN_NAMES = ("Inference Inputs",)
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CATEGORY = "Runware"
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def createInputs(self, **kwargs):
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"""Create image inference inputs from provided parameters"""
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image = kwargs.get("image", None)
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refImage1 = kwargs.get("Reference Image 1", None)
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refTag1 = kwargs.get("Reference Tag 1", "")
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refImage2 = kwargs.get("Reference Image 2", None)
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refTag2 = kwargs.get("Reference Tag 2", "")
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refImage3 = kwargs.get("Reference Image 3", None)
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refTag3 = kwargs.get("Reference Tag 3", "")
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refImage4 = kwargs.get("Reference Image 4", None)
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refTag4 = kwargs.get("Reference Tag 4", "")
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inputs = {}
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if image is not None:
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inputs["image"] = rwUtils.convertTensor2IMG(image)
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references = self._collectReferences(
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refImage1, refTag1,
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refImage2, refTag2,
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refImage3, refTag3,
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refImage4, refTag4,
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)
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if len(references) > 0:
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inputs["referenceImages"] = references
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return (inputs,)
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def _collectReferences(self, *referenceArgs):
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"""Collect and convert reference images to list"""
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# Build list of (image, tag) pairs from the flat arguments
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referencePairs = list(zip(referenceArgs[0::2], referenceArgs[1::2]))
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# Determine if any tag is provided
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hasTags = any(
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isinstance(tag, str) and tag.strip() != ""
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for _, tag in referencePairs
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)
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if not hasTags:
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# Use legacy behavior: simple list of images
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return [
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rwUtils.convertTensor2IMG(image)
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for image, _ in referencePairs
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if image is not None
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]
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references = []
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for image, tag in referencePairs:
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if image is None:
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continue
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entry = {"image": rwUtils.convertTensor2IMG(image)}
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if isinstance(tag, str) and tag.strip() != "":
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entry["tag"] = tag.strip()
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references.append(entry)
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return references
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