update DB
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@@ -11,6 +11,61 @@
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{
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"author": "storyicon",
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"title": "ComfyUI MuseV Evolved",
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"id": "musev-evolved",
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"reference": "https://github.com/storyicon/comfyui_musev_evolved",
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"files": [
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"https://github.com/storyicon/comfyui_musev_evolved"
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],
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"install_type": "git-clone",
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"description": "Nodes:MuseVImg2Vid (comfyui_musev_evolved)\nNOTE: Download [a/MuseV](https://huggingface.co/TMElyralab/MuseV) to ComfyUI/models/diffusers"
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},
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{
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"author": "smthemex",
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"title": "ComfyUI_CustomNet",
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"id": "customnet",
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"reference": "https://github.com/smthemex/ComfyUI_CustomNet",
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"files": [
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"https://github.com/smthemex/ComfyUI_CustomNet"
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],
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"install_type": "git-clone",
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"description": "This node allows you to use customnet."
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},
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{
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"author": "githubYiheng",
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"title": "comfyui_median_filter",
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"id": "median-filter",
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"reference": "https://github.com/githubYiheng/comfyui_median_filter",
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"files": [
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"https://github.com/githubYiheng/comfyui_median_filter"
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],
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"install_type": "git-clone",
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"description": "Nodes:Apply Median Filter"
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},
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{
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"author": "githubYiheng",
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"title": "ComfyUI_Change_IMAGE_BOREDER",
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"id": "change-image-border",
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"reference": "https://github.com/githubYiheng/ComfyUI_Change_IMAGE_BOREDER",
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"files": [
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"https://github.com/githubYiheng/ComfyUI_Change_IMAGE_BOREDER"
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],
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"install_type": "git-clone",
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"description": "Nodes:Change Image Border"
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},
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{
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"author": "ai-liam",
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"title": "LiamUtil",
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"id": "liam-util",
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"reference": "https://github.com/ai-liam/comfyui-liam",
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"files": [
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"https://github.com/ai-liam/comfyui-liam"
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],
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"install_type": "git-clone",
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"description": "Nodes: LiamLibLoadImage, LiamLibImageToGray, LiamLibSaveImg, LiamLibFillImage, PreviewReliefImage, GetBetterDepthImage, LiamLibSaveText"
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},
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{
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"author": "Isaac Emesowum",
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"title": "Isaac's Nodes",
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@@ -640,56 +695,6 @@
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],
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"install_type": "git-clone",
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"description": "Nodes:Use Prompt Quill in Comfyui"
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},
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{
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"author": "runtime44",
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"title": "Runtime44 ComfyUI Nodes",
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"reference": "https://github.com/runtime44/comfyui_r44_nodes",
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"files": [
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"https://github.com/runtime44/comfyui_r44_nodes"
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],
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"install_type": "git-clone",
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"description": "Nodes: Runtime44Upscaler, Runtime44ColorMatch, Runtime44DynamicKSampler, Runtime44ImageOverlay, Runtime44ImageResizer, Runtime44ImageToNoise, Runtime44MaskSampler, Runtime44TiledMaskSampler, Runtime44IterativeUpscaleFactor, Runtime44ImageEnhance"
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},
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{
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"author": "BAIS1C",
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"title": "ComfyUI_RSS_Feed_Reader",
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"reference": "https://github.com/BAIS1C/ComfyUI_RSS_Feed_Reader",
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"files": [
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"https://github.com/BAIS1C/ComfyUI_RSS_Feed_Reader"
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],
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"install_type": "git-clone",
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"description": "A Simple Python RSS Feed Reader to create Prompts in Comfy UI"
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},
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{
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"author": "curiousjp",
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"title": "ComfyUI-MaskBatchPermutations",
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"reference": "https://github.com/curiousjp/ComfyUI-MaskBatchPermutations",
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"files": [
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"https://github.com/curiousjp/ComfyUI-MaskBatchPermutations"
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],
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"install_type": "git-clone",
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"description": "Permutes a mask batch to present possible additive combinations. Passing a mask batch (e.g. out of [a/SEGS to Mask Batch](https://github.com/ltdrdata/ComfyUI-Impact-Pack)) will return a new mask batch representing all the possible combinations of the included masks. So, a mask batch with two mask sections, 'A' and 'B', will return a batch containing an empty mask, an empty mask & A, an empty mask & B, and an empty mask & A & B."
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},
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{
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"author": "yuvraj108c",
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"title": "ComfyUI Upscaler TensorRT",
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"reference": "https://github.com/yuvraj108c/ComfyUI-Upscaler-Tensorrt",
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"files": [
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"https://github.com/yuvraj108c/ComfyUI-Upscaler-Tensorrt"
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],
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"install_type": "git-clone",
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"description": "This project provides a Tensorrt implementation for fast image upscaling inside ComfyUI (3-4x faster)"
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},
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{
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"author": "alessandrozonta",
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"title": "Bounding Box Crop Node for ComfyUI",
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"reference": "https://github.com/alessandrozonta/ComfyUI-CenterNode",
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"files": [
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"https://github.com/alessandrozonta/ComfyUI-CenterNode"
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],
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"install_type": "git-clone",
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"description": "This extension contains a custom node for ComfyUI. The node, called 'Bounding Box Crop', is designed to compute the top-left coordinates of a cropped bounding box based on input coordinates and dimensions of the final cropped image. It does so computing the center of the cropping area and then computing where the top-left coordinates would be."
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}
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]
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}
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