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
73 lines
2.5 KiB
Python
73 lines
2.5 KiB
Python
from .utils import runwareUtils as rwUtils
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class RunwareFrameImages:
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"""Frame Images node for defining keyframes that constrain video timeline"""
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FRAME_POSITIONS = ["auto", "first", "last", "0", "12", "24", "36", "48", "60", "72", "84", "96", "108", "120"]
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MAX_FRAMES = 4
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@classmethod
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def INPUT_TYPES(cls):
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optionalInputs = {}
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for i in range(1, cls.MAX_FRAMES + 1):
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optionalInputs[f"image{i}"] = ("IMAGE", {
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"tooltip": "Frame image that will constrain video content at a specific timeline position. Used for keyframe control.",
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})
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optionalInputs[f"frame{i}_position"] = (cls.FRAME_POSITIONS, {
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"default": "auto",
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"tooltip": "Frame position: 'auto' (automatic distribution), 'first' (beginning), 'last' (end), or specific frame number (0-120).",
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})
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return {
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"required": {},
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"optional": optionalInputs
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}
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DESCRIPTION = "Define keyframes that constrain specific frames within the video timeline. Different from reference images - these control WHEN specific visual content appears, not overall style consistency."
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FUNCTION = "createFrameImages"
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RETURN_TYPES = ("RUNWAREFRAMEIMAGES",)
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RETURN_NAMES = ("Frame Images",)
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CATEGORY = "Runware"
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def createFrameImages(self, **kwargs):
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"""Create frame images list from provided parameters"""
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frameImages = []
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for i in range(1, self.MAX_FRAMES + 1):
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imageKey = f"image{i}"
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positionKey = f"frame{i}_position"
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image = kwargs.get(imageKey)
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position = kwargs.get(positionKey, "auto")
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if image is not None:
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frameData = self._createFrameData(image, position)
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frameImages.append(frameData)
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return (frameImages,)
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def _createFrameData(self, image, position):
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"""Create frame data object from image and position"""
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imageData = rwUtils.convertTensor2IMG(image)
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frameData = {"inputImage": imageData}
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if position != "auto":
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if position.isdigit():
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frameData["frame"] = int(position)
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else:
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frameData["frame"] = position # "first" or "last"
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return frameData
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# Node class mappings for ComfyUI registration
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NODE_CLASS_MAPPINGS = {
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"RunwareFrameImages": RunwareFrameImages,
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"RunwareFrameImages": "Runware Frame Images",
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}
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