Sirshendu Ganguly
056ade0661
- Use librosa instead of torchaudio for mediaStorage - Created dedicated toggle handlers for Image Inference, Video Inference, Upscaler, Audio Inference, Accelerator Options, Bytedance Provider Settings, and OpenAI Provider Settings - Fixed Audio Inference widget ordering (use parameters now appear before their corresponding parameters) - All handlers use the same proven pattern from videoInferenceDimensionsHandler - Improved widget disabling/enabling functionality across all nodes
65 lines
2.6 KiB
Python
65 lines
2.6 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 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 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 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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}
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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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refImage2 = kwargs.get("Reference Image 2", None)
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refImage3 = kwargs.get("Reference Image 3", None)
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refImage4 = kwargs.get("Reference Image 4", None)
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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(refImage1, refImage2, refImage3, refImage4)
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if len(references) > 0:
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inputs["references"] = references
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return (inputs,)
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def _collectReferences(self, refImage1, refImage2, refImage3, refImage4):
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"""Collect and convert reference images to list"""
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references = []
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refImages = [refImage1, refImage2, refImage3, refImage4]
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for refImage in refImages:
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if refImage is not None:
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references.append(rwUtils.convertTensor2IMG(refImage))
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return references
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