47 lines
4.5 KiB
JSON
47 lines
4.5 KiB
JSON
{
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"Animation Builder (mtb)": "Convenient way to manage basic animation maths at the core of many of my workflows",
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"Any To String (mtb)": "Tries to take any input and convert it to a string",
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"Bbox (mtb)": "The bounding box (BBOX) custom type used by other nodes",
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"Bbox From Mask (mtb)": "From a mask extract the bounding box",
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"Blur (mtb)": "Blur an image using a Gaussian filter.",
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"Color Correct (mtb)": "Various color correction methods",
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"Colored Image (mtb)": "Constant color image of given size",
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"Concat Images (mtb)": "Add images to batch",
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"Crop (mtb)": "Crops an image and an optional mask to a given bounding box\n\n The bounding box can be given as a tuple of (x, y, width, height) or as a BBOX type\n The BBOX input takes precedence over the tuple input\n ",
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"Debug (mtb)": "Experimental node to debug any Comfy values, support for more types and widgets is planned",
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"Deep Bump (mtb)": "Normal & height maps generation from single pictures",
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"Export With Ffmpeg (mtb)": "Export with FFmpeg (Experimental)",
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"Face Swap (mtb)": "Face swap using deepinsight/insightface models",
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"Film Interpolation (mtb)": "Google Research FILM frame interpolation for large motion",
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"Fit Number (mtb)": "Fit the input float using a source and target range",
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"Float To Number (mtb)": "Node addon for the WAS Suite. Converts a \"comfy\" FLOAT to a NUMBER.",
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"Get Batch From History (mtb)": "Very experimental node to load images from the history of the server.\n\n Queue items without output are ignored in the count.",
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"Image Compare (mtb)": "Compare two images and return a difference image",
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"Image Premultiply (mtb)": "Premultiply image with mask",
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"Image Remove Background Rembg (mtb)": "Removes the background from the input using Rembg.",
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"Image Resize Factor (mtb)": "Extracted mostly from WAS Node Suite, with a few edits (most notably multiple image support) and less features.",
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"Int To Bool (mtb)": "Basic int to bool conversion",
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"Int To Number (mtb)": "Node addon for the WAS Suite. Converts a \"comfy\" INT to a NUMBER.",
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"Latent Lerp (mtb)": "Linear interpolation (blend) between two latent vectors",
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"Load Face Analysis Model (mtb)": "Loads a face analysis model",
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"Load Face Enhance Model (mtb)": "Loads a GFPGan or RestoreFormer model for face enhancement.",
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"Load Face Swap Model (mtb)": "Loads a faceswap model",
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"Load Film Model (mtb)": "Loads a FILM model",
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"Load Image From Url (mtb)": "Load an image from the given URL",
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"Load Image Sequence (mtb)": "Load an image sequence from a folder. The current frame is used to determine which image to load.\n\n Usually used in conjunction with the `Primitive` node set to increment to load a sequence of images from a folder.\n Use -1 to load all matching frames as a batch.\n ",
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"Mask To Image (mtb)": "Converts a mask (alpha) to an RGB image with a color and background",
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"Qr Code (mtb)": "Basic QR Code generator",
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"Restore Face (mtb)": "Uses GFPGan to restore faces",
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"Save Gif (mtb)": "Save the images from the batch as a GIF",
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"Save Image Grid (mtb)": "Save all the images in the input batch as a grid of images.",
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"Save Image Sequence (mtb)": "Save an image sequence to a folder. The current frame is used to determine which image to save.\n\n This is merely a wrapper around the `save_images` function with formatting for the output folder and filename.\n ",
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"Save Tensors (mtb)": "Save torch tensors (image, mask or latent) to disk, useful to debug things outside comfy",
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"Smart Step (mtb)": "Utils to control the steps start/stop of the KAdvancedSampler in percentage",
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"String Replace (mtb)": "Basic string replacement",
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"Styles Loader (mtb)": "Load csv files and populate a dropdown from the rows (\u00e0 la A111)",
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"Text To Image (mtb)": "Utils to convert text to image using a font\n\n\n The tool looks for any .ttf file in the Comfy folder hierarchy.\n ",
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"Transform Image (mtb)": "Save torch tensors (image, mask or latent) to disk, useful to debug things outside comfy\n\n\n it return a tensor representing the transformed images with the same shape as the input tensor\n ",
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"Uncrop (mtb)": "Uncrops an image to a given bounding box\n\n The bounding box can be given as a tuple of (x, y, width, height) or as a BBOX type\n The BBOX input takes precedence over the tuple input",
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"Unsplash Image (mtb)": "Unsplash Image given a keyword and a size"
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}
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