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
111 lines
3.4 KiB
Python
111 lines
3.4 KiB
Python
from .utils import runwareUtils as rwUtils
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import json
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import base64
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import io
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class SVGData:
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"""Wrapper class to match RecraftIO.SVG format for SaveSVGNode"""
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def __init__(self, svgContent):
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svgBytes = io.BytesIO(svgContent.encode('utf-8'))
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self.data = [svgBytes]
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class vectorize:
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"""Vectorize node for converting images to vector format"""
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RUNWARE_VECTORIZE_MODELS = {
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"recraft:1@1": "recraft:1@1",
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"picsart:1@1": "picsart:1@1",
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}
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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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"Image": ("IMAGE", {
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"tooltip": "Input image to be vectorized."
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}),
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"Model": (list(cls.RUNWARE_VECTORIZE_MODELS.keys()), {
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"tooltip": "Select the vectorization model to use.",
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"default": "recraft:1@1",
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}),
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},
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}
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DESCRIPTION = "Convert images to vector format using Runware's vectorization service."
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FUNCTION = "vectorizeImage"
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RETURN_TYPES = ("SVG",)
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RETURN_NAMES = ("SVG",)
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CATEGORY = "Runware"
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def vectorizeImage(self, **kwargs):
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"""Vectorize image and return SVG data"""
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image = kwargs.get("Image")
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modelName = kwargs.get("Model", "recraft:1@1")
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model = self.RUNWARE_VECTORIZE_MODELS.get(modelName, "recraft:1@1")
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imageUuid = rwUtils.convertTensor2IMG(image)
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genConfig = self._buildGenConfig(model, imageUuid)
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print(f"[DEBUG] Sending Vectorize Request:")
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print(f"[DEBUG] Request Payload: {json.dumps(genConfig, indent=2)}")
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genResult = rwUtils.inferenecRequest(genConfig)
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print(f"[DEBUG] Received Vectorize Response:")
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print(f"[DEBUG] Response: {json.dumps(genResult, indent=2)}")
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self._validateResponse(genResult)
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svgData = self._extractSvgData(genResult)
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return (svgData,)
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def _buildGenConfig(self, model, imageUuid):
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"""Build generation configuration for API request"""
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return [{
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"taskType": "vectorize",
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"taskUUID": rwUtils.genRandUUID(),
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"model": model,
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"inputs": {
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"image": imageUuid
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},
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"outputType": "base64Data",
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"outputFormat": "svg",
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}]
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def _validateResponse(self, genResult):
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"""Validate API response"""
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if "errors" in genResult:
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errorMessage = genResult["errors"][0]["message"]
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raise Exception(f"Vectorization failed: {errorMessage}")
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if "data" not in genResult or len(genResult["data"]) == 0:
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raise Exception("No data returned from vectorization API")
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def _extractSvgData(self, genResult):
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"""Extract SVG data from API response"""
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resultData = genResult["data"][0]
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if "imageBase64Data" not in resultData:
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raise Exception("imageBase64Data not found in response")
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base64Svg = resultData["imageBase64Data"]
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svgContent = base64.b64decode(base64Svg).decode('utf-8')
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svgData = SVGData(svgContent)
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return svgData
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# Node class mappings
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NODE_CLASS_MAPPINGS = {
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"RunwareVectorize": vectorize,
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"RunwareVectorize": "Runware Vectorize",
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}
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