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["MASK"], "mask_4": ["MASK"], "mask_5": ["MASK"], "mask_1_strength": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}], "mask_2_strength": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}], "mask_3_strength": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}], "mask_4_strength": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}], "mask_5_strength": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}], "set_cond_area": [["default", "mask bounds"]]}}, "output": ["CONDITIONING", "CONDITIONING"], "output_is_list": [false, false], "output_name": ["combined_positive", "combined_negative"], "name": "ConditioningSetMaskAndCombine5", "display_name": "ConditioningSetMaskAndCombine5", "description": "\nBundles multiple conditioning mask and combine nodes into one,functionality is identical to ComfyUI native nodes\n", "category": "KJNodes/masking/conditioning", "output_node": false}, "CondPassThrough": {"input": {"required": {"positive": ["CONDITIONING"], "negative": ["CONDITIONING"]}}, "output": ["CONDITIONING", "CONDITIONING"], "output_is_list": [false, false], "output_name": ["positive", "negative"], "name": "CondPassThrough", "display_name": "CondPassThrough", "description": "\n Simply passes through the positive and negative conditioning,\n workaround for Set node not allowing bypassed inputs.\n", "category": "KJNodes/misc", "output_node": false}, "DownloadAndLoadCLIPSeg": {"input": {"required": {"model": [["Kijai/clipseg-rd64-refined-fp16", "CIDAS/clipseg-rd64-refined"], {"default": "clipseg-rd64-refined-fp16"}]}}, "output": ["CLIPSEGMODEL"], "output_is_list": [false], "output_name": ["clipseg_model"], "name": "DownloadAndLoadCLIPSeg", "display_name": "(Down)load CLIPSeg", "description": "\nDownloads and loads CLIPSeg model with huggingface_hub, \nto ComfyUI/models/clip_seg\n", "category": "KJNodes/masking", "output_node": false}, "BatchCLIPSeg": {"input": {"required": {"images": ["IMAGE"], "text": ["STRING", {"multiline": false}], "threshold": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 10.0, "step": 0.001}], "binary_mask": ["BOOLEAN", {"default": true}], "combine_mask": ["BOOLEAN", {"default": false}], "use_cuda": ["BOOLEAN", {"default": true}]}, "optional": {"blur_sigma": ["FLOAT", {"default": 0.0, "min": 0.0, "max": 100.0, "step": 0.1}], "opt_model": ["CLIPSEGMODEL"], "prev_mask": ["MASK", {"default": null}], "image_bg_level": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}], "invert": ["BOOLEAN", {"default": false}]}}, "output": ["MASK", "IMAGE"], "output_is_list": [false, false], "output_name": ["Mask", "Image"], "name": "BatchCLIPSeg", "display_name": "Batch CLIPSeg", "description": "\nSegments an image or batch of images using CLIPSeg.\n", "category": "KJNodes/masking", "output_node": false}, "ColorToMask": {"input": {"required": {"images": ["IMAGE"], "invert": ["BOOLEAN", {"default": false}], "red": ["INT", {"default": 0, "min": 0, "max": 255, "step": 1}], "green": ["INT", {"default": 0, "min": 0, "max": 255, "step": 1}], "blue": ["INT", {"default": 0, "min": 0, "max": 255, "step": 1}], "threshold": ["INT", {"default": 10, "min": 0, "max": 255, "step": 1}], "per_batch": ["INT", {"default": 16, "min": 1, "max": 4096, "step": 1}]}}, "output": ["MASK"], "output_is_list": [false], "output_name": ["MASK"], "name": "ColorToMask", "display_name": "Color To Mask", "description": "\nConverts chosen RGB value to a mask. \nWith batch inputs, the **per_batch** \ncontrols the number of images processed at once.\n", "category": "KJNodes/masking", "output_node": false}, "CreateGradientMask": {"input": {"required": {"invert": ["BOOLEAN", {"default": false}], "frames": ["INT", {"default": 0, "min": 0, "max": 255, "step": 1}], "width": ["INT", {"default": 256, "min": 16, "max": 4096, "step": 1}], "height": ["INT", {"default": 256, "min": 16, "max": 4096, "step": 1}]}}, "output": ["MASK"], "output_is_list": [false], "output_name": ["MASK"], "name": "CreateGradientMask", "display_name": "Create Gradient Mask", "description": "", "category": "KJNodes/masking/generate", "output_node": false}, "CreateTextMask": {"input": {"required": {"invert": ["BOOLEAN", {"default": false}], "frames": ["INT", {"default": 1, "min": 1, "max": 4096, "step": 1}], "text_x": ["INT", {"default": 0, "min": 0, "max": 4096, "step": 1}], "text_y": ["INT", {"default": 0, "min": 0, "max": 4096, "step": 1}], "font_size": ["INT", {"default": 32, "min": 8, "max": 4096, "step": 1}], "font_color": ["STRING", {"default": "white"}], "text": ["STRING", {"default": "HELLO!", "multiline": true}], "font": [["__kjnodes_fonts__"]], "width": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "height": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "start_rotation": ["INT", {"default": 0, "min": 0, "max": 359, "step": 1}], "end_rotation": ["INT", {"default": 0, "min": -359, "max": 359, "step": 1}]}}, "output": ["IMAGE", "MASK"], "output_is_list": [false, false], "output_name": ["IMAGE", "MASK"], "name": "CreateTextMask", "display_name": "Create Text Mask", "description": "\nCreates a text image and mask. \nLooks for fonts from this folder: \nComfyUI/custom_nodes/ComfyUI-KJNodes/fonts\n \nIf start_rotation and/or end_rotation are different values, \ncreates animation between them.\n", "category": "KJNodes/text", "output_node": false}, "CreateAudioMask": {"input": {"required": {"invert": ["BOOLEAN", {"default": false}], "frames": ["INT", {"default": 16, "min": 1, "max": 255, "step": 1}], "scale": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 2.0, "step": 0.01}], "audio_path": ["STRING", {"default": "audio.wav"}], "width": ["INT", {"default": 256, "min": 16, "max": 4096, "step": 1}], "height": ["INT", {"default": 256, "min": 16, "max": 4096, "step": 1}]}}, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "CreateAudioMask", "display_name": "Create Audio Mask", "description": "", "category": "KJNodes/deprecated", "output_node": false}, "CreateFadeMask": {"input": {"required": {"invert": ["BOOLEAN", {"default": false}], "frames": ["INT", {"default": 2, "min": 2, "max": 255, "step": 1}], "width": ["INT", {"default": 256, "min": 16, "max": 4096, "step": 1}], "height": ["INT", {"default": 256, "min": 16, "max": 4096, "step": 1}], "interpolation": [["linear", "ease_in", "ease_out", "ease_in_out"]], "start_level": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}], "midpoint_level": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}], "end_level": ["FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.01}], "midpoint_frame": ["INT", {"default": 0, "min": 0, "max": 4096, "step": 1}]}}, "output": ["MASK"], "output_is_list": [false], "output_name": ["MASK"], "name": "CreateFadeMask", "display_name": "Create Fade Mask", "description": "", "category": "KJNodes/deprecated", "output_node": false}, "CreateFadeMaskAdvanced": {"input": {"required": {"points_string": ["STRING", {"default": "0:(0.0),\n7:(1.0),\n15:(0.0)\n", "multiline": true}], "invert": ["BOOLEAN", {"default": false}], "frames": ["INT", {"default": 16, "min": 2, "max": 255, "step": 1}], "width": ["INT", {"default": 512, "min": 1, "max": 4096, "step": 1}], "height": ["INT", {"default": 512, "min": 1, "max": 4096, "step": 1}], "interpolation": [["linear", "ease_in", "ease_out", "ease_in_out"]]}}, "output": ["MASK"], "output_is_list": [false], "output_name": ["MASK"], "name": "CreateFadeMaskAdvanced", "display_name": "Create Fade Mask Advanced", "description": "\nCreate a batch of masks interpolated between given frames and values. \nUses same syntax as Fizz' BatchValueSchedule.\nFirst value is the frame index (not that this starts from 0, not 1) \nand the second value inside the brackets is the float value of the mask in range 0.0 - 1.0 \n\nFor example the default values: \n0:(0.0) \n7:(1.0) \n15:(0.0) \n \nWould create a mask batch fo 16 frames, starting from black, \ninterpolating with the chosen curve to fully white at the 8th frame, \nand interpolating from that to fully black at the 16th frame.\n", "category": "KJNodes/masking/generate", "output_node": false}, "CreateFluidMask": {"input": {"required": {"invert": ["BOOLEAN", {"default": false}], "frames": ["INT", {"default": 1, "min": 1, "max": 4096, "step": 1}], "width": ["INT", {"default": 256, "min": 16, "max": 4096, "step": 1}], "height": ["INT", {"default": 256, "min": 16, "max": 4096, "step": 1}], "inflow_count": ["INT", {"default": 3, "min": 0, "max": 255, "step": 1}], "inflow_velocity": ["INT", {"default": 1, "min": 0, "max": 255, "step": 1}], "inflow_radius": ["INT", {"default": 8, "min": 0, "max": 255, "step": 1}], "inflow_padding": ["INT", {"default": 50, "min": 0, "max": 255, "step": 1}], "inflow_duration": ["INT", {"default": 60, "min": 0, "max": 255, "step": 1}]}}, "output": ["IMAGE", "MASK"], "output_is_list": [false, false], "output_name": ["IMAGE", "MASK"], "name": "CreateFluidMask", "display_name": "Create Fluid Mask", "description": "", "category": "KJNodes/masking/generate", "output_node": false}, "CreateShapeMask": {"input": {"required": {"shape": [["circle", "square", "triangle"], {"default": "circle"}], "frames": ["INT", {"default": 1, "min": 1, "max": 4096, "step": 1}], "location_x": ["INT", {"default": 256, "min": 0, "max": 4096, "step": 1}], "location_y": ["INT", {"default": 256, "min": 0, "max": 4096, "step": 1}], "grow": ["INT", {"default": 0, "min": -512, "max": 512, "step": 1}], "frame_width": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "frame_height": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "shape_width": ["INT", {"default": 128, "min": 8, "max": 4096, "step": 1}], "shape_height": ["INT", {"default": 128, "min": 8, "max": 4096, "step": 1}]}}, "output": ["MASK", "MASK"], "output_is_list": [false, false], "output_name": ["mask", "mask_inverted"], "name": "CreateShapeMask", "display_name": "Create Shape Mask", "description": "\nCreates a mask or batch of masks with the specified shape. \nLocations are center locations. \nGrow value is the amount to grow the shape on each frame, creating animated masks.\n", "category": "KJNodes/masking/generate", "output_node": false}, "CreateVoronoiMask": {"input": {"required": {"frames": ["INT", {"default": 16, "min": 2, "max": 4096, "step": 1}], "num_points": ["INT", {"default": 15, "min": 1, "max": 4096, "step": 1}], "line_width": ["INT", {"default": 4, "min": 1, "max": 4096, "step": 1}], "speed": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}], "frame_width": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "frame_height": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}]}}, "output": ["MASK", "MASK"], "output_is_list": [false, false], "output_name": ["mask", "mask_inverted"], "name": "CreateVoronoiMask", "display_name": "Create Voronoi Mask", "description": "", "category": "KJNodes/masking/generate", "output_node": false}, "CreateMagicMask": {"input": {"required": {"frames": ["INT", {"default": 16, "min": 2, "max": 4096, "step": 1}], "depth": ["INT", {"default": 12, "min": 1, "max": 500, "step": 1}], "distortion": ["FLOAT", {"default": 1.5, "min": 0.0, "max": 100.0, "step": 0.01}], "seed": ["INT", {"default": 123, "min": 0, "max": 99999999, "step": 1}], "transitions": ["INT", {"default": 1, "min": 1, "max": 20, "step": 1}], "frame_width": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "frame_height": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}]}}, "output": ["MASK", "MASK"], "output_is_list": [false, false], "output_name": ["mask", "mask_inverted"], "name": "CreateMagicMask", "display_name": "Create Magic Mask", "description": "", "category": "KJNodes/masking/generate", "output_node": false}, "GetMaskSizeAndCount": {"input": {"required": {"mask": ["MASK"]}}, "output": ["MASK", "INT", "INT", "INT"], "output_is_list": [false, false, false, false], "output_name": ["mask", "width", "height", "count"], "name": "GetMaskSizeAndCount", "display_name": "Get Mask Size & Count", "description": "\nReturns the width, height and batch size of the mask, \nand passes it through unchanged. \n\n", "category": "KJNodes/masking", "output_node": false}, "GrowMaskWithBlur": {"input": {"required": {"mask": ["MASK"], "expand": ["INT", {"default": 0, "min": -16384, "max": 16384, "step": 1}], "incremental_expandrate": ["FLOAT", {"default": 0.0, "min": 0.0, "max": 100.0, "step": 0.1}], "tapered_corners": ["BOOLEAN", {"default": true}], "flip_input": ["BOOLEAN", {"default": false}], "blur_radius": ["FLOAT", {"default": 0.0, "min": 0.0, "max": 100, "step": 0.1}], "lerp_alpha": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}], "decay_factor": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}]}, "optional": {"fill_holes": ["BOOLEAN", {"default": false}]}}, "output": ["MASK", "MASK"], "output_is_list": [false, false], "output_name": ["mask", "mask_inverted"], "name": "GrowMaskWithBlur", "display_name": "Grow Mask With Blur", "description": "\n# GrowMaskWithBlur\n- mask: Input mask or mask batch\n- expand: Expand or contract mask or mask batch by a given amount\n- incremental_expandrate: increase expand rate by a given amount per frame\n- tapered_corners: use tapered corners\n- flip_input: flip input mask\n- blur_radius: value higher than 0 will blur the mask\n- lerp_alpha: alpha value for interpolation between frames\n- decay_factor: decay value for interpolation between frames\n- fill_holes: fill holes in the mask (slow)", "category": "KJNodes/masking", "output_node": false}, "MaskBatchMulti": {"input": {"required": {"inputcount": ["INT", {"default": 2, "min": 2, "max": 1000, "step": 1}], "mask_1": ["MASK"], "mask_2": ["MASK"]}}, "output": ["MASK"], "output_is_list": [false], "output_name": ["masks"], "name": "MaskBatchMulti", "display_name": "Mask Batch Multi", "description": "\nCreates an image batch from multiple masks. \nYou can set how many inputs the node has, \nwith the **inputcount** and clicking update.\n", "category": "KJNodes/masking", "output_node": false}, "OffsetMask": {"input": {"required": {"mask": ["MASK"], "x": ["INT", {"default": 0, "min": -4096, "max": 16384, "step": 1, "display": "number"}], "y": ["INT", {"default": 0, "min": -4096, "max": 16384, "step": 1, "display": "number"}], "angle": ["INT", {"default": 0, "min": -360, "max": 360, "step": 1, "display": "number"}], "duplication_factor": ["INT", {"default": 1, "min": 1, "max": 1000, "step": 1, "display": "number"}], "roll": ["BOOLEAN", {"default": false}], "incremental": ["BOOLEAN", {"default": false}], "padding_mode": [["empty", "border", "reflection"], {"default": "empty"}]}}, "output": ["MASK"], "output_is_list": [false], "output_name": ["mask"], "name": "OffsetMask", "display_name": "Offset Mask", "description": "\nOffsets the mask by the specified amount. \n - mask: Input mask or mask batch\n - x: Horizontal offset\n - y: Vertical offset\n - angle: Angle in degrees\n - roll: roll edge wrapping\n - duplication_factor: Number of times to duplicate the mask to form a batch\n - border padding_mode: Padding mode for the mask\n", "category": "KJNodes/masking", "output_node": false}, "RemapMaskRange": {"input": {"required": {"mask": ["MASK"], "min": ["FLOAT", {"default": 0.0, "min": -10.0, "max": 1.0, "step": 0.01}], "max": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}]}}, "output": ["MASK"], "output_is_list": [false], "output_name": ["mask"], "name": "RemapMaskRange", "display_name": "Remap Mask Range", "description": "\nSets new min and max values for the mask.\n", "category": "KJNodes/masking", "output_node": false}, "ResizeMask": {"input": {"required": {"mask": ["MASK"], "width": ["INT", {"default": 512, "min": 0, "max": 16384, "step": 8, "display": "number"}], "height": ["INT", {"default": 512, "min": 0, "max": 16384, "step": 8, "display": "number"}], "keep_proportions": ["BOOLEAN", {"default": false}]}}, "output": ["MASK", "INT", "INT"], "output_is_list": [false, false, false], "output_name": ["mask", "width", "height"], "name": "ResizeMask", "display_name": "Resize Mask", "description": "\nResizes the mask or batch of masks to the specified width and height.\n", "category": "KJNodes/masking", "output_node": false}, "RoundMask": {"input": {"required": {"mask": ["MASK"]}}, "output": ["MASK"], "output_is_list": [false], "output_name": ["MASK"], "name": "RoundMask", "display_name": "Round Mask", "description": "\nRounds the mask or batch of masks to a binary mask. \n $\"RoundMask$ \n\n", "category": "KJNodes/masking", "output_node": false}, "AddLabel": {"input": {"required": {"image": ["IMAGE"], "text_x": ["INT", {"default": 10, "min": 0, "max": 4096, "step": 1}], "text_y": ["INT", {"default": 2, "min": 0, "max": 4096, "step": 1}], "height": ["INT", {"default": 48, "min": 0, "max": 4096, "step": 1}], "font_size": ["INT", {"default": 32, "min": 0, "max": 4096, "step": 1}], "font_color": ["STRING", {"default": "white"}], "label_color": ["STRING", {"default": "black"}], "font": [["__kjnodes_fonts__"]], "text": ["STRING", {"default": "Text"}], "direction": [["up", "down", "left", "right", "overlay"], {"default": "up"}]}, "optional": {"caption": ["STRING", {"default": "", "forceInput": true}]}}, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "AddLabel", "display_name": "Add Label", "description": "\nCreates a new with the given text, and concatenates it to \neither above or below the input image. \nNote that this changes the input image's height! \nFonts are loaded from this folder: \nComfyUI/custom_nodes/ComfyUI-KJNodes/fonts\n", "category": "KJNodes/text", "output_node": false}, "ColorMatch": {"input": {"required": {"image_ref": ["IMAGE"], "image_target": ["IMAGE"], "method": [["mkl", "hm", "reinhard", "mvgd", "hm-mvgd-hm", "hm-mkl-hm"], {"default": "mkl"}]}}, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["image"], "name": "ColorMatch", "display_name": "Color Match", "description": "\ncolor-matcher enables color transfer across images which comes in handy for automatic \ncolor-grading of photographs, paintings and film sequences as well as light-field \nand stopmotion corrections. \n\nThe methods behind the mappings are based on the approach from Reinhard et al., \nthe Monge-Kantorovich Linearization (MKL) as proposed by Pitie et al. and our analytical solution \nto a Multi-Variate Gaussian Distribution (MVGD) transfer in conjunction with classical histogram \nmatching. As shown below our HM-MVGD-HM compound outperforms existing methods. \nhttps://github.com/hahnec/color-matcher/\n\n", "category": "KJNodes/image", "output_node": false}, "CrossFadeImages": {"input": {"required": {"images_1": ["IMAGE"], "images_2": ["IMAGE"], "interpolation": [["linear", "ease_in", "ease_out", "ease_in_out", "bounce", "elastic", "glitchy", "exponential_ease_out"]], "transition_start_index": ["INT", {"default": 1, "min": 0, "max": 4096, "step": 1}], "transitioning_frames": ["INT", {"default": 1, "min": 0, "max": 4096, "step": 1}], "start_level": ["FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.01}], "end_level": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}]}}, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "CrossFadeImages", "display_name": "Cross Fade Images", "description": "", "category": "KJNodes/image", "output_node": false}, "GetImagesFromBatchIndexed": {"input": {"required": {"images": ["IMAGE"], "indexes": ["STRING", {"default": "0, 1, 2", "multiline": true}]}}, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "GetImagesFromBatchIndexed", "display_name": "Get Images From Batch Indexed", "description": "\nSelects and returns the images at the specified indices as an image batch.\n", "category": "KJNodes/image", "output_node": false}, "GetImageRangeFromBatch": {"input": {"required": {"images": ["IMAGE"], "start_index": ["INT", {"default": 0, "min": -1, "max": 4096, "step": 1}], "num_frames": ["INT", {"default": 1, "min": 1, "max": 4096, "step": 1}]}, "optional": {"masks": ["MASK"]}}, "output": ["IMAGE", "MASK"], "output_is_list": [false, false], "output_name": ["IMAGE", "MASK"], "name": "GetImageRangeFromBatch", "display_name": "Get Image Range From Batch", "description": "\nCreates a new batch using images from the input, \nbatch, starting from start_index.\n", "category": "KJNodes/image", "output_node": false}, "GetImageSizeAndCount": {"input": {"required": {"image": ["IMAGE"]}}, "output": ["IMAGE", "INT", "INT", "INT"], "output_is_list": [false, false, false, false], "output_name": ["image", "width", "height", "count"], "name": "GetImageSizeAndCount", "display_name": "Get Image Size & Count", "description": "\nReturns width, height and batch size of the image, \nand passes it through unchanged. \n\n", "category": "KJNodes/masking", "output_node": false}, "ImageAndMaskPreview": {"input": {"required": {"mask_opacity": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}], "mask_color": ["STRING", {"default": "255, 255, 255"}], "pass_through": ["BOOLEAN", {"default": false}]}, "optional": {"image": ["IMAGE"], "mask": ["MASK"]}, "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"}}, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["composite"], "name": "ImageAndMaskPreview", "display_name": "ImageAndMaskPreview", "description": "\nPreview an image or a mask, when both inputs are used \ncomposites the mask on top of the image.\nwith pass_through on the preview is disabled and the \ncomposite is returned from the composite slot instead, \nthis allows for the preview to be passed for video combine \nnodes for example.\n", "category": "KJNodes", "output_node": true}, "ImageAddMulti": {"input": {"required": {"inputcount": ["INT", {"default": 2, "min": 2, "max": 1000, "step": 1}], "image_1": ["IMAGE"], "image_2": ["IMAGE"], "blending": [["add", "subtract", "multiply", "difference"], {"default": "add"}]}}, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["images"], "name": "ImageAddMulti", "display_name": "Image Add Multi", "description": "\nAdd blends multiple images together. \nYou can set how many inputs the node has, \nwith the **inputcount** and clicking update.\n", "category": "KJNodes/image", "output_node": false}, "ImageBatchMulti": {"input": {"required": {"inputcount": ["INT", {"default": 2, "min": 2, "max": 1000, "step": 1}], "image_1": ["IMAGE"], "image_2": ["IMAGE"]}}, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["images"], "name": "ImageBatchMulti", "display_name": "Image Batch Multi", "description": "\nCreates an image batch from multiple images. \nYou can set how many inputs the node has, \nwith the **inputcount** and clicking update.\n", "category": "KJNodes/image", "output_node": false}, "ImageBatchRepeatInterleaving": {"input": {"required": {"images": ["IMAGE"], "repeats": ["INT", {"default": 1, "min": 1, "max": 4096}]}}, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "ImageBatchRepeatInterleaving", "display_name": "ImageBatchRepeatInterleaving", "description": "\nRepeats each image in a batch by the specified number of times. \nExample batch of 5 images: 0, 1 ,2, 3, 4 \nwith repeats 2 becomes batch of 10 images: 0, 0, 1, 1, 2, 2, 3, 3, 4, 4 \n", "category": "KJNodes/image", "output_node": false}, "ImageBatchTestPattern": {"input": {"required": {"batch_size": ["INT", {"default": 1, "min": 1, "max": 255, "step": 1}], "start_from": ["INT", {"default": 0, "min": 0, "max": 255, "step": 1}], "text_x": ["INT", {"default": 256, "min": 0, "max": 4096, "step": 1}], "text_y": ["INT", {"default": 256, "min": 0, "max": 4096, "step": 1}], "width": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "height": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "font": [["__kjnodes_fonts__"]], "font_size": ["INT", {"default": 255, "min": 8, "max": 4096, "step": 1}]}}, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "ImageBatchTestPattern", "display_name": "Image Batch Test Pattern", "description": "", "category": "KJNodes/text", "output_node": false}, "ImageConcanate": {"input": {"required": {"image1": ["IMAGE"], "image2": ["IMAGE"], "direction": [["right", "down", "left", "up"], {"default": "right"}], "match_image_size": ["BOOLEAN", {"default": false}]}}, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "ImageConcanate", "display_name": "Image Concatenate", "description": "\nConcatenates the image2 to image1 in the specified direction.\n", "category": "KJNodes/image", "output_node": false}, "ImageGrabPIL": {"input": {"required": {"x": ["INT", {"default": 0, "min": 0, "max": 4096, "step": 1}], "y": ["INT", {"default": 0, "min": 0, "max": 4096, "step": 1}], "width": ["INT", {"default": 512, "min": 0, "max": 4096, "step": 1}], "height": ["INT", {"default": 512, "min": 0, "max": 4096, "step": 1}], "num_frames": ["INT", {"default": 1, "min": 1, "max": 255, "step": 1}], "delay": ["FLOAT", {"default": 0.1, "min": 0.0, "max": 10.0, "step": 0.01}]}}, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["image"], "name": "ImageGrabPIL", "display_name": "Image Grab PIL", "description": "\nCaptures an area specified by screen coordinates. \nCan be used for realtime diffusion with autoqueue.\n", "category": "KJNodes/experimental", "output_node": false}, "ImageGridComposite2x2": {"input": {"required": {"image1": ["IMAGE"], "image2": ["IMAGE"], "image3": ["IMAGE"], "image4": ["IMAGE"]}}, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "ImageGridComposite2x2", "display_name": "Image Grid Composite 2x2", "description": "\nConcatenates the 4 input images into a 2x2 grid. \n", "category": "KJNodes/image", "output_node": false}, "ImageGridComposite3x3": {"input": {"required": {"image1": ["IMAGE"], "image2": ["IMAGE"], "image3": ["IMAGE"], "image4": ["IMAGE"], "image5": ["IMAGE"], "image6": ["IMAGE"], "image7": ["IMAGE"], "image8": ["IMAGE"], "image9": ["IMAGE"]}}, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "ImageGridComposite3x3", "display_name": "Image Grid Composite 3x3", "description": "\nConcatenates the 9 input images into a 3x3 grid. \n", "category": "KJNodes/image", "output_node": false}, "ImageNormalize_Neg1_To_1": {"input": {"required": {"images": ["IMAGE"]}}, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "ImageNormalize_Neg1_To_1", "display_name": "Image Normalize -1 to 1", "description": "\nNormalize the images to be in the range [-1, 1] \n", "category": "KJNodes/image", "output_node": false}, "ImagePass": {"input": {"required": {"image": ["IMAGE"]}}, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "ImagePass", "display_name": "ImagePass", "description": "\nPasses the image through without modifying it.\n", "category": "KJNodes/image", "output_node": false}, "ImagePadForOutpaintMasked": {"input": {"required": {"image": ["IMAGE"], "left": ["INT", {"default": 0, "min": 0, "max": 16384, "step": 8}], "top": ["INT", {"default": 0, "min": 0, "max": 16384, "step": 8}], "right": ["INT", {"default": 0, "min": 0, "max": 16384, "step": 8}], "bottom": ["INT", {"default": 0, "min": 0, "max": 16384, "step": 8}], "feathering": ["INT", {"default": 0, "min": 0, "max": 16384, "step": 1}]}, "optional": {"mask": ["MASK"]}}, "output": ["IMAGE", "MASK"], "output_is_list": [false, false], "output_name": ["IMAGE", "MASK"], "name": "ImagePadForOutpaintMasked", "display_name": "Image Pad For Outpaint Masked", "description": "", "category": "image", "output_node": false}, "ImagePadForOutpaintTargetSize": {"input": {"required": {"image": ["IMAGE"], "target_width": ["INT", {"default": 0, "min": 0, "max": 16384, "step": 8}], "target_height": ["INT", {"default": 0, "min": 0, "max": 16384, "step": 8}], "feathering": ["INT", {"default": 0, "min": 0, "max": 16384, "step": 1}], "upscale_method": [["nearest-exact", "bilinear", "area", "bicubic", "lanczos"]]}, "optional": {"mask": ["MASK"]}}, "output": ["IMAGE", "MASK"], "output_is_list": [false, false], "output_name": ["IMAGE", "MASK"], "name": "ImagePadForOutpaintTargetSize", "display_name": "Image Pad For Outpaint Target Size", "description": "", "category": "image", "output_node": false}, "ImageResizeKJ": {"input": {"required": {"image": ["IMAGE"], "width": ["INT", {"default": 512, "min": 0, "max": 16384, "step": 8}], "height": ["INT", {"default": 512, "min": 0, "max": 16384, "step": 8}], "upscale_method": [["nearest-exact", "bilinear", "area", "bicubic", "lanczos"]], "keep_proportion": ["BOOLEAN", {"default": false}], "divisible_by": ["INT", {"default": 2, "min": 0, "max": 512, "step": 1}]}, "optional": {"width_input": ["INT", {"forceInput": true}], "height_input": ["INT", {"forceInput": true}], "get_image_size": ["IMAGE"]}}, "output": ["IMAGE", "INT", "INT"], "output_is_list": [false, false, false], "output_name": ["IMAGE", "width", "height"], "name": "ImageResizeKJ", "display_name": "Resize Image", "description": "\nResizes the image to the specified width and height. \nSize can be retrieved from the inputs, and the final scale \nis determined in this order of importance: \n- get_image_size \n- width_input and height_input \n- width and height widgets \n \nKeep proportions keeps the aspect ratio of the image, by \nhighest dimension. \n", "category": "KJNodes/image", "output_node": false}, "ImageUpscaleWithModelBatched": {"input": {"required": {"upscale_model": ["UPSCALE_MODEL"], "images": ["IMAGE"], "per_batch": ["INT", {"default": 16, "min": 1, "max": 4096, "step": 1}]}}, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "ImageUpscaleWithModelBatched", "display_name": "Image Upscale With Model Batched", "description": "\nSame as ComfyUI native model upscaling node, \nbut allows setting sub-batches for reduced VRAM usage.\n", "category": "KJNodes/image", "output_node": false}, "InsertImagesToBatchIndexed": {"input": {"required": {"original_images": ["IMAGE"], "images_to_insert": ["IMAGE"], "indexes": ["STRING", {"default": "0, 1, 2", "multiline": true}]}}, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "InsertImagesToBatchIndexed", "display_name": "Insert Images To Batch Indexed", "description": "\nInserts images at the specified indices into the original image batch.\n", "category": "KJNodes/image", "output_node": false}, "LoadAndResizeImage": {"input": {"required": {"image": [["example.png"], {"image_upload": true}], "resize": ["BOOLEAN", {"default": false}], "width": ["INT", {"default": 512, "min": 0, "max": 16384, "step": 8}], "height": ["INT", {"default": 512, "min": 0, "max": 16384, "step": 8}], "repeat": ["INT", {"default": 1, "min": 1, "max": 4096, "step": 1}], "keep_proportion": ["BOOLEAN", {"default": false}], "divisible_by": ["INT", {"default": 2, "min": 0, "max": 512, "step": 1}], "mask_channel": [["alpha", "red", "green", "blue"]]}}, "output": ["IMAGE", "MASK", "INT", "INT"], "output_is_list": [false, false, false, false], "output_name": ["image", "mask", "width", "height"], "name": "LoadAndResizeImage", "display_name": "Load & Resize Image", "description": "", "category": "KJNodes/image", "output_node": false}, "MergeImageChannels": {"input": {"required": {"red": ["IMAGE"], "green": ["IMAGE"], "blue": ["IMAGE"]}, "optional": {"mask": ["MASK", {"default": null}]}}, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["image"], "name": "MergeImageChannels", "display_name": "Merge Image Channels", "description": "\nMerges channel data into an image. \n", "category": "KJNodes/image", "output_node": false}, "PreviewAnimation": {"input": {"required": {"fps": ["FLOAT", {"default": 8.0, "min": 0.01, "max": 1000.0, "step": 0.01}]}, "optional": {"images": ["IMAGE"], "masks": ["MASK"]}}, "output": [], "output_is_list": [], "output_name": [], "name": "PreviewAnimation", "display_name": "Preview Animation", "description": "", "category": "KJNodes/image", "output_node": true}, "RemapImageRange": {"input": {"required": {"image": ["IMAGE"], "min": ["FLOAT", {"default": 0.0, "min": -10.0, "max": 1.0, "step": 0.01}], "max": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}], "clamp": ["BOOLEAN", {"default": true}]}}, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "RemapImageRange", "display_name": "Remap Image Range", "description": "\nRemaps the image values to the specified range. \n", "category": "KJNodes/image", "output_node": false}, "ReverseImageBatch": {"input": {"required": {"images": ["IMAGE"]}}, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "ReverseImageBatch", "display_name": "Reverse Image Batch", "description": "\nReverses the order of the images in a batch.\n", "category": "KJNodes/image", "output_node": false}, "ReplaceImagesInBatch": {"input": {"required": {"original_images": ["IMAGE"], "replacement_images": ["IMAGE"], "start_index": ["INT", {"default": 1, "min": 0, "max": 4096, "step": 1}]}}, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "ReplaceImagesInBatch", "display_name": "Replace Images In Batch", "description": "\nReplaces the images in a batch, starting from the specified start index, \nwith the replacement images.\n", "category": "KJNodes/image", "output_node": false}, "SaveImageWithAlpha": {"input": {"required": {"images": ["IMAGE"], "mask": ["MASK"], "filename_prefix": ["STRING", {"default": "ComfyUI"}]}, "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"}}, "output": [], "output_is_list": [], "output_name": [], "name": "SaveImageWithAlpha", "display_name": "Save Image With Alpha", "description": "\nSaves an image and mask as .PNG with the mask as the alpha channel. \n", "category": "KJNodes/image", "output_node": true}, "SplitImageChannels": {"input": {"required": {"image": ["IMAGE"]}}, "output": ["IMAGE", "IMAGE", "IMAGE", "MASK"], "output_is_list": [false, false, false, false], "output_name": ["red", "green", "blue", "mask"], "name": "SplitImageChannels", "display_name": "Split Image Channels", "description": "\nSplits image channels into images where the selected channel \nis repeated for all channels, and the alpha as a mask. \n", "category": "KJNodes/image", "output_node": false}, "BatchCropFromMask": {"input": {"required": {"original_images": ["IMAGE"], "masks": ["MASK"], "crop_size_mult": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}], "bbox_smooth_alpha": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}]}}, "output": ["IMAGE", "IMAGE", "BBOX", "INT", "INT"], "output_is_list": [false, false, false, false, false], "output_name": ["original_images", "cropped_images", "bboxes", "width", "height"], "name": "BatchCropFromMask", "display_name": "Batch Crop From Mask", "description": "", "category": "KJNodes/masking", "output_node": false}, "BatchCropFromMaskAdvanced": {"input": {"required": {"original_images": ["IMAGE"], "masks": ["MASK"], "crop_size_mult": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}], "bbox_smooth_alpha": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}]}}, "output": ["IMAGE", "IMAGE", "MASK", "IMAGE", "MASK", "BBOX", "BBOX", "INT", "INT"], "output_is_list": [false, false, false, false, false, false, false, false, false], "output_name": ["original_images", "cropped_images", "cropped_masks", "combined_crop_image", "combined_crop_masks", "bboxes", "combined_bounding_box", "bbox_width", "bbox_height"], "name": "BatchCropFromMaskAdvanced", "display_name": "Batch Crop From Mask Advanced", "description": "", "category": "KJNodes/masking", "output_node": false}, "FilterZeroMasksAndCorrespondingImages": {"input": {"required": {"masks": ["MASK"]}, "optional": {"original_images": ["IMAGE"]}}, "output": ["MASK", "IMAGE", "IMAGE", "INDEXES"], "output_is_list": [false, false, false, false], "output_name": ["non_zero_masks_out", "non_zero_mask_images_out", "zero_mask_images_out", "zero_mask_images_out_indexes"], "name": "FilterZeroMasksAndCorrespondingImages", "display_name": "FilterZeroMasksAndCorrespondingImages", "description": "\nFilter out all the empty (i.e. all zero) mask in masks \nAlso filter out all the corresponding images in original_images by indexes if provide \n \noriginal_images (optional): If provided, need have same length as masks.\n", "category": "KJNodes/masking", "output_node": false}, "InsertImageBatchByIndexes": {"input": {"required": {"images": ["IMAGE"], "images_to_insert": ["IMAGE"], "insert_indexes": ["INDEXES"]}}, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["images_after_insert"], "name": "InsertImageBatchByIndexes", "display_name": "Insert Image Batch By Indexes", "description": "\nThis node is designed to be use with node FilterZeroMasksAndCorrespondingImages\nIt inserts the images_to_insert into images according to insert_indexes\n\nReturns:\n images_after_insert: updated original images with origonal sequence order\n", "category": "KJNodes/image", "output_node": false}, "BatchUncrop": {"input": {"required": {"original_images": ["IMAGE"], "cropped_images": ["IMAGE"], "bboxes": ["BBOX"], "border_blending": ["FLOAT", {"default": 0.25, "min": 0.0, "max": 1.0, "step": 0.01}], "crop_rescale": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}], "border_top": ["BOOLEAN", {"default": true}], "border_bottom": ["BOOLEAN", {"default": true}], "border_left": ["BOOLEAN", {"default": true}], "border_right": ["BOOLEAN", {"default": true}]}}, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "BatchUncrop", "display_name": "Batch Uncrop", "description": "", "category": "KJNodes/masking", "output_node": false}, "BatchUncropAdvanced": {"input": {"required": {"original_images": ["IMAGE"], "cropped_images": ["IMAGE"], "cropped_masks": ["MASK"], "combined_crop_mask": ["MASK"], "bboxes": ["BBOX"], "border_blending": ["FLOAT", {"default": 0.25, "min": 0.0, "max": 1.0, "step": 0.01}], "crop_rescale": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}], "use_combined_mask": ["BOOLEAN", {"default": false}], "use_square_mask": ["BOOLEAN", {"default": true}]}, "optional": {"combined_bounding_box": ["BBOX", {"default": null}]}}, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "BatchUncropAdvanced", "display_name": "Batch Uncrop Advanced", "description": "", "category": "KJNodes/masking", "output_node": false}, "SplitBboxes": {"input": {"required": {"bboxes": ["BBOX"], "index": ["INT", {"default": 0, "min": 0, "max": 99999999, "step": 1}]}}, "output": ["BBOX", "BBOX"], "output_is_list": [false, false], "output_name": ["bboxes_a", "bboxes_b"], "name": "SplitBboxes", "display_name": "Split Bboxes", "description": "\nSplits the specified bbox list at the given index into two lists.\n", "category": "KJNodes/masking", "output_node": false}, "BboxToInt": {"input": {"required": {"bboxes": ["BBOX"], "index": ["INT", {"default": 0, "min": 0, "max": 99999999, "step": 1}]}}, "output": ["INT", "INT", "INT", "INT", "INT", "INT"], "output_is_list": [false, false, false, false, false, false], "output_name": ["x_min", "y_min", "width", "height", "center_x", "center_y"], "name": "BboxToInt", "display_name": "Bbox To Int", "description": "\nReturns selected index from bounding box list as integers.\n", "category": "KJNodes/masking", "output_node": false}, "BboxVisualize": {"input": {"required": {"images": ["IMAGE"], "bboxes": ["BBOX"], "line_width": ["INT", {"default": 1, "min": 1, "max": 10, "step": 1}]}}, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["images"], "name": "BboxVisualize", "display_name": "Bbox Visualize", "description": "\nVisualizes the specified bbox on the image.\n", "category": "KJNodes/masking", "output_node": false}, "GenerateNoise": {"input": {"required": {"width": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "height": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "batch_size": ["INT", {"default": 1, "min": 1, "max": 4096}], "seed": ["INT", {"default": 123, "min": 0, "max": 18446744073709551615, "step": 1}], "multiplier": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 4096, "step": 0.01}], "constant_batch_noise": ["BOOLEAN", {"default": false}], "normalize": ["BOOLEAN", {"default": false}]}, "optional": {"model": ["MODEL"], "sigmas": ["SIGMAS"]}}, "output": ["LATENT"], "output_is_list": [false], "output_name": ["LATENT"], "name": "GenerateNoise", "display_name": "Generate Noise", "description": "\nGenerates noise for injection or to be used as empty latents on samplers with add_noise off.\n", "category": "KJNodes/noise", "output_node": false}, "FlipSigmasAdjusted": {"input": {"required": {"sigmas": ["SIGMAS"], "divide_by_last_sigma": ["BOOLEAN", {"default": false}], "divide_by": ["FLOAT", {"default": 1, "min": 1, "max": 255, "step": 0.01}], "offset_by": ["INT", {"default": 1, "min": -100, "max": 100, "step": 1}]}}, "output": ["SIGMAS", "STRING"], "output_is_list": [false, false], "output_name": ["SIGMAS", "sigmas_string"], "name": "FlipSigmasAdjusted", "display_name": "Flip Sigmas Adjusted", "description": "", "category": "KJNodes/noise", "output_node": false}, "InjectNoiseToLatent": {"input": {"required": {"latents": ["LATENT"], "strength": ["FLOAT", {"default": 0.1, "min": 0.0, "max": 200.0, "step": 0.0001}], "noise": ["LATENT"], "normalize": ["BOOLEAN", {"default": false}], "average": ["BOOLEAN", {"default": false}]}, "optional": {"mask": ["MASK"], "mix_randn_amount": ["FLOAT", {"default": 0.0, "min": 0.0, "max": 1000.0, "step": 0.001}], "seed": ["INT", {"default": 123, "min": 0, "max": 18446744073709551615, "step": 1}]}}, "output": ["LATENT"], "output_is_list": [false], "output_name": ["LATENT"], "name": "InjectNoiseToLatent", "display_name": "Inject Noise To Latent", "description": "", "category": "KJNodes/noise", "output_node": false}, "CustomSigmas": {"input": {"required": {"sigmas_string": ["STRING", {"default": "14.615, 6.475, 3.861, 2.697, 1.886, 1.396, 0.963, 0.652, 0.399, 0.152, 0.029", "multiline": true}], "interpolate_to_steps": ["INT", {"default": 10, "min": 0, "max": 255, "step": 1}]}}, "output": ["SIGMAS"], "output_is_list": [false], "output_name": ["SIGMAS"], "name": "CustomSigmas", "display_name": "Custom Sigmas", "description": "\nCreates a sigmas tensor from a string of comma separated values. \nExamples: \n \nNvidia's optimized AYS 10 step schedule for SD 1.5: \n14.615, 6.475, 3.861, 2.697, 1.886, 1.396, 0.963, 0.652, 0.399, 0.152, 0.029 \nSDXL: \n14.615, 6.315, 3.771, 2.181, 1.342, 0.862, 0.555, 0.380, 0.234, 0.113, 0.029 \nSVD: \n700.00, 54.5, 15.886, 7.977, 4.248, 1.789, 0.981, 0.403, 0.173, 0.034, 0.002 \n", "category": "KJNodes/noise", "output_node": false}, "WidgetToString": {"input": {"required": {"id": ["INT", {"default": 0}], "widget_name": ["STRING", {"multiline": false}], "return_all": ["BOOLEAN", {"default": false}]}, "hidden": {"extra_pnginfo": "EXTRA_PNGINFO", "prompt": "PROMPT"}}, "output": ["STRING"], "output_is_list": [false], "output_name": ["STRING"], "name": "WidgetToString", "display_name": "Widget To String", "description": "\nSelects a node and it's specified widget and outputs the value as a string. \nTo see node id's, enable node id display from Manager badge menu.\n", "category": "KJNodes/text", "output_node": false}, "DummyLatentOut": {"input": {"required": {"latent": ["LATENT"]}}, "output": ["LATENT"], "output_is_list": [false], "output_name": ["LATENT"], "name": "DummyLatentOut", "display_name": "Dummy Latent Out", "description": "\nDoes nothing, used to trigger generic workflow output. \nA way to get previews in the UI without saving anything to disk.\n", "category": "KJNodes/misc", "output_node": true}, "GetLatentsFromBatchIndexed": {"input": {"required": {"latents": ["LATENT"], "indexes": ["STRING", {"default": "0, 1, 2", "multiline": true}]}}, "output": ["LATENT"], "output_is_list": [false], "output_name": ["LATENT"], "name": "GetLatentsFromBatchIndexed", "display_name": "Get Latents From Batch Indexed", "description": "\nSelects and returns the latents at the specified indices as an latent batch.\n", "category": "KJNodes", "output_node": false}, "ScaleBatchPromptSchedule": {"input": {"required": {"input_str": ["STRING", {"forceInput": true, "default": "0:(0.0),\n7:(1.0),\n15:(0.0)\n"}], "old_frame_count": ["INT", {"forceInput": true, "default": 1, "min": 1, "max": 4096, "step": 1}], "new_frame_count": ["INT", {"forceInput": true, "default": 1, "min": 1, "max": 4096, "step": 1}]}}, "output": ["STRING"], "output_is_list": [false], "output_name": ["STRING"], "name": "ScaleBatchPromptSchedule", "display_name": "Scale Batch Prompt Schedule", "description": "\nScales a batch schedule from Fizz' nodes BatchPromptSchedule\nto a different frame count.\n", "category": "KJNodes", "output_node": false}, "CameraPoseVisualizer": {"input": {"required": {"pose_file_path": ["STRING", {"default": "", "multiline": false}], "base_xval": ["FLOAT", {"default": 0.2, "min": 0, "max": 100, "step": 0.01}], "zval": ["FLOAT", {"default": 0.3, "min": 0, "max": 100, "step": 0.01}], "scale": ["FLOAT", {"default": 1.0, "min": 0.01, "max": 10.0, "step": 0.01}], "use_exact_fx": ["BOOLEAN", {"default": false}], "relative_c2w": ["BOOLEAN", {"default": true}], "use_viewer": ["BOOLEAN", {"default": false}]}, "optional": {"cameractrl_poses": ["CAMERACTRL_POSES", {"default": null}]}}, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "CameraPoseVisualizer", "display_name": "Camera Pose Visualizer", "description": "\nVisualizes the camera poses, from Animatediff-Evolved CameraCtrl Pose \nor a .txt file with RealEstate camera intrinsics and coordinates, in a 3D plot. \n", "category": "KJNodes/misc", "output_node": false}, "JoinStrings": {"input": {"required": {"string1": ["STRING", {"default": "", "forceInput": true}], "string2": ["STRING", {"default": "", "forceInput": true}], "delimiter": ["STRING", {"default": " ", "multiline": false}]}}, "output": ["STRING"], "output_is_list": [false], "output_name": ["STRING"], "name": "JoinStrings", "display_name": "Join Strings", "description": "", "category": "KJNodes/constants", "output_node": false}, "JoinStringMulti": {"input": {"required": {"inputcount": ["INT", {"default": 2, "min": 2, "max": 1000, "step": 1}], "string_1": ["STRING", {"default": "", "forceInput": true}], "string_2": ["STRING", {"default": "", "forceInput": true}], "delimiter": ["STRING", {"default": " ", "multiline": false}], "return_list": ["BOOLEAN", {"default": false}]}}, "output": ["STRING"], "output_is_list": [false], "output_name": ["string"], "name": "JoinStringMulti", "display_name": "Join String Multi", "description": "\nCreates single string, or a list of strings, from \nmultiple input strings. \nYou can set how many inputs the node has, \nwith the **inputcount** and clicking update.\n", "category": "KJNodes", "output_node": false}, "SomethingToString": {"input": {"required": {"input": ["*", {}]}, "optional": {"prefix": ["STRING", {"default": ""}], "suffix": ["STRING", {"default": ""}]}}, "output": ["STRING"], "output_is_list": [false], "output_name": ["STRING"], "name": "SomethingToString", "display_name": "Something To String", "description": "\nConverts any type to a string.\n", "category": "KJNodes/text", "output_node": false}, "Sleep": {"input": {"required": {"input": ["*", {}], "minutes": ["INT", {"default": 0, "min": 0, "max": 1439}], "seconds": ["FLOAT", {"default": 0.0, "min": 0.0, "max": 59.99, "step": 0.01}]}}, "output": ["*"], "output_is_list": [false], "output_name": ["*"], "name": "Sleep", "display_name": "Sleep", "description": "\nDelays the execution for the input amount of time.\n", "category": "KJNodes/misc", "output_node": false}, "VRAM_Debug": {"input": {"required": {"empty_cache": ["BOOLEAN", {"default": true}], "gc_collect": ["BOOLEAN", {"default": true}], "unload_all_models": ["BOOLEAN", {"default": false}]}, "optional": {"any_input": ["*", {}], "image_pass": ["IMAGE"], "model_pass": ["MODEL"]}}, "output": ["*", "IMAGE", "MODEL", "INT", "INT"], "output_is_list": [false, false, false, false, false], "output_name": ["any_output", "image_pass", "model_pass", "freemem_before", "freemem_after"], "name": "VRAM_Debug", "display_name": "VRAM Debug", "description": "\nReturns the inputs unchanged, they are only used as triggers, \nand performs comfy model management functions and garbage collection, \nreports free VRAM before and after the operations.\n", "category": "KJNodes/misc", "output_node": false}, "EmptyLatentImagePresets": {"input": {"required": {"dimensions": [["512 x 512", "768 x 512", "960 x 512", "1024 x 512", "1536 x 640", "1344 x 768", "1216 x 832", "1152 x 896", "1024 x 1024"], {"default": "512 x 512"}], "invert": ["BOOLEAN", {"default": false}], "batch_size": ["INT", {"default": 1, "min": 1, "max": 4096}]}}, "output": ["LATENT", "INT", "INT"], "output_is_list": [false, false, false], "output_name": ["Latent", "Width", "Height"], "name": "EmptyLatentImagePresets", "display_name": "Empty Latent Image Presets", "description": "", "category": "KJNodes", "output_node": false}, "ModelPassThrough": {"input": {"required": {"model": ["MODEL"]}}, "output": ["MODEL"], "output_is_list": [false], "output_name": ["model"], "name": "ModelPassThrough", "display_name": "ModelPass", "description": "\n Simply passes through the model,\n workaround for Set node not allowing bypassed inputs.\n", "category": "KJNodes/misc", "output_node": false}, "NormalizedAmplitudeToMask": {"input": {"required": {"normalized_amp": ["NORMALIZED_AMPLITUDE"], "width": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "height": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "frame_offset": ["INT", {"default": 0, "min": -255, "max": 255, "step": 1}], "location_x": ["INT", {"default": 256, "min": 0, "max": 4096, "step": 1}], "location_y": ["INT", {"default": 256, "min": 0, "max": 4096, "step": 1}], "size": ["INT", {"default": 128, "min": 8, "max": 4096, "step": 1}], "shape": [["none", "circle", "square", "triangle"], {"default": "none"}], "color": [["white", "amplitude"], {"default": "amplitude"}]}}, "output": ["MASK"], "output_is_list": [false], "output_name": ["MASK"], "name": "NormalizedAmplitudeToMask", "display_name": "NormalizedAmplitudeToMask", "description": "\nWorks as a bridge to the AudioScheduler -nodes: \nhttps://github.com/a1lazydog/ComfyUI-AudioScheduler \nCreates masks based on the normalized amplitude.\n", "category": "KJNodes/audio", "output_node": false}, "NormalizedAmplitudeToFloatList": {"input": {"required": {"normalized_amp": ["NORMALIZED_AMPLITUDE"]}}, "output": ["FLOAT"], "output_is_list": [false], "output_name": ["FLOAT"], "name": "NormalizedAmplitudeToFloatList", "display_name": "NormalizedAmplitudeToFloatList", "description": "\nWorks as a bridge to the AudioScheduler -nodes: \nhttps://github.com/a1lazydog/ComfyUI-AudioScheduler \nCreates a list of floats from the normalized amplitude.\n", "category": "KJNodes/audio", "output_node": false}, "OffsetMaskByNormalizedAmplitude": {"input": {"required": {"normalized_amp": ["NORMALIZED_AMPLITUDE"], "mask": ["MASK"], "x": ["INT", {"default": 0, "min": -4096, "max": 16384, "step": 1, "display": "number"}], "y": ["INT", {"default": 0, "min": -4096, "max": 16384, "step": 1, "display": "number"}], "rotate": ["BOOLEAN", {"default": false}], "angle_multiplier": ["FLOAT", {"default": 0.0, "min": -1.0, "max": 1.0, "step": 0.001, "display": "number"}]}}, "output": ["MASK"], "output_is_list": [false], "output_name": ["mask"], "name": "OffsetMaskByNormalizedAmplitude", "display_name": "OffsetMaskByNormalizedAmplitude", "description": "\nWorks as a bridge to the AudioScheduler -nodes: \nhttps://github.com/a1lazydog/ComfyUI-AudioScheduler \nOffsets masks based on the normalized amplitude.\n", "category": "KJNodes/audio", "output_node": false}, "ImageTransformByNormalizedAmplitude": {"input": {"required": {"normalized_amp": ["NORMALIZED_AMPLITUDE"], "zoom_scale": ["FLOAT", {"default": 0.0, "min": -1.0, "max": 1.0, "step": 0.001, "display": "number"}], "x_offset": ["INT", {"default": 0, "min": -16383, "max": 16384, "step": 1, "display": "number"}], "y_offset": ["INT", {"default": 0, "min": -16383, "max": 16384, "step": 1, "display": "number"}], "cumulative": ["BOOLEAN", {"default": false}], "image": ["IMAGE"]}}, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "ImageTransformByNormalizedAmplitude", "display_name": "ImageTransformByNormalizedAmplitude", "description": "\nWorks as a bridge to the AudioScheduler -nodes: \nhttps://github.com/a1lazydog/ComfyUI-AudioScheduler \nTransforms image based on the normalized amplitude.\n", "category": "KJNodes/audio", "output_node": false}, "SplineEditor": {"input": {"required": {"points_store": ["STRING", {"multiline": false}], "coordinates": ["STRING", {"multiline": false}], "mask_width": ["INT", {"default": 512, "min": 8, "max": 4096, "step": 8}], "mask_height": ["INT", {"default": 512, "min": 8, "max": 4096, "step": 8}], "points_to_sample": ["INT", {"default": 16, "min": 2, "max": 1000, "step": 1}], "sampling_method": [["path", "time"], {"default": "time"}], "interpolation": [["cardinal", "monotone", "basis", "linear", "step-before", "step-after", "polar", "polar-reverse"], {"default": "cardinal"}], "tension": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}], "repeat_output": ["INT", {"default": 1, "min": 1, "max": 4096, "step": 1}], "float_output_type": [["list", "pandas series", "tensor"], {"default": "list"}]}, "optional": {"min_value": ["FLOAT", {"default": 0.0, "min": -10000.0, "max": 10000.0, "step": 0.01}], "max_value": ["FLOAT", {"default": 1.0, "min": -10000.0, "max": 10000.0, "step": 0.01}]}}, "output": ["MASK", "STRING", "FLOAT", "INT", "STRING"], "output_is_list": [false, false, false, false, false], "output_name": ["mask", "coord_str", "float", "count", "normalized_str"], "name": "SplineEditor", "display_name": "Spline Editor", "description": "\n# WORK IN PROGRESS \nDo not count on this as part of your workflow yet, \nprobably contains lots of bugs and stability is not \nguaranteed!! \n \n## Graphical editor to create values for various \n## schedules and/or mask batches. \n\n**Shift + click** to add control point at end.\n**Ctrl + click** to add control point (subdivide) between two points. \n**Right click on a point** to delete it. \nNote that you can't delete from start/end. \n \nRight click on canvas for context menu: \nThese are purely visual options, doesn't affect the output: \n - Toggle handles visibility\n - Display sample points: display the points to be returned. \n\n**points_to_sample** value sets the number of samples \nreturned from the **drawn spline itself**, this is independent from the \nactual control points, so the interpolation type matters. \nsampling_method: \n - time: samples along the time axis, used for schedules \n - path: samples along the path itself, useful for coordinates \n\noutput types:\n - mask batch \n example compatible nodes: anything that takes masks \n - list of floats\n example compatible nodes: IPAdapter weights \n - pandas series\n example compatible nodes: anything that takes Fizz' \n nodes Batch Value Schedule \n - torch tensor \n example compatible nodes: unknown\n", "category": "KJNodes/weights", "output_node": false}, "CreateShapeImageOnPath": {"input": {"required": {"shape": [["circle", "square", "triangle"], {"default": "circle"}], "coordinates": ["STRING", {"forceInput": true}], "frame_width": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "frame_height": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "shape_width": ["INT", {"default": 128, "min": 8, "max": 4096, "step": 1}], "shape_height": ["INT", {"default": 128, "min": 8, "max": 4096, "step": 1}], "shape_color": ["STRING", {"default": "white"}], "bg_color": ["STRING", {"default": "black"}], "blur_radius": ["FLOAT", {"default": 0.0, "min": 0.0, "max": 100, "step": 0.1}], "intensity": ["FLOAT", {"default": 1.0, "min": 0.01, "max": 100.0, "step": 0.01}]}, "optional": {"size_multiplier": ["FLOAT", {"default": [1.0], "forceInput": true}]}}, "output": ["IMAGE", "MASK"], "output_is_list": [false, false], "output_name": ["image", "mask"], "name": "CreateShapeImageOnPath", "display_name": "Create Shape Image On Path", "description": "\nCreates an image or batch of images with the specified shape. \nLocations are center locations. \n", "category": "KJNodes/image", "output_node": false}, "CreateShapeMaskOnPath": {"input": {"required": {"shape": [["circle", "square", "triangle"], {"default": "circle"}], "coordinates": ["STRING", {"forceInput": true}], "frame_width": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "frame_height": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "shape_width": ["INT", {"default": 128, "min": 8, "max": 4096, "step": 1}], "shape_height": ["INT", {"default": 128, "min": 8, "max": 4096, "step": 1}]}, "optional": {"size_multiplier": ["FLOAT", {"default": [1.0], "forceInput": true}]}}, "output": ["MASK", "MASK"], "output_is_list": [false, false], "output_name": ["mask", "mask_inverted"], "name": "CreateShapeMaskOnPath", "display_name": "Create Shape Mask On Path", "description": "\nCreates a mask or batch of masks with the specified shape. \nLocations are center locations. \n", "category": "KJNodes/masking/generate", "output_node": false}, "CreateTextOnPath": {"input": {"required": {"coordinates": ["STRING", {"forceInput": true}], "text": ["STRING", {"default": "text", "multiline": true}], "frame_width": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "frame_height": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "font": [["__kjnodes_fonts__"]], "font_size": ["INT", {"default": 42}], "alignment": [["left", "center", "right"], {"default": "center"}], "text_color": ["STRING", {"default": "white"}]}, "optional": {"size_multiplier": ["FLOAT", {"default": [1.0], "forceInput": true}]}}, "output": ["IMAGE", "MASK", "MASK"], "output_is_list": [false, false, false], "output_name": ["image", "mask", "mask_inverted"], "name": "CreateTextOnPath", "display_name": "Create Text On Path", "description": "\nCreates a mask or batch of masks with the specified text. \nLocations are center locations. \n", "category": "KJNodes/masking/generate", "output_node": false}, "CreateGradientFromCoords": {"input": {"required": {"coordinates": ["STRING", {"forceInput": true}], "frame_width": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "frame_height": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "start_color": ["STRING", {"default": "white"}], "end_color": ["STRING", {"default": "black"}], "multiplier": ["FLOAT", {"default": 1.0, "min": 0.01, "max": 100.0, "step": 0.01}]}}, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["image"], "name": "CreateGradientFromCoords", "display_name": "Create Gradient From Coords", "description": "\nCreates a gradient image from coordinates. \n", "category": "KJNodes/image", "output_node": false}, "GradientToFloat": {"input": {"required": {"image": ["IMAGE"], "steps": ["INT", {"default": 10, "min": 2, "max": 10000, "step": 1}]}}, "output": ["FLOAT", "FLOAT"], "output_is_list": [false, false], "output_name": ["float_x", "float_y"], "name": "GradientToFloat", "display_name": "Gradient To Float", "description": "\nCalculates list of floats from image. \n", "category": "KJNodes/image", "output_node": false}, "WeightScheduleExtend": {"input": {"required": {"input_values_1": ["FLOAT", {"default": 0.0, "forceInput": true}], "input_values_2": ["FLOAT", {"default": 0.0, "forceInput": true}], "output_type": [["match_input", "list", "pandas series", "tensor"], {"default": "match_input"}]}}, "output": ["FLOAT"], "output_is_list": [false], "output_name": ["FLOAT"], "name": "WeightScheduleExtend", "display_name": "Weight Schedule Extend", "description": "\nExtends, and converts if needed, different value lists/series \n", "category": "KJNodes/weights", "output_node": false}, "MaskOrImageToWeight": {"input": {"required": {"output_type": [["list", "pandas series", "tensor", "string"], {"default": "list"}]}, "optional": {"images": ["IMAGE"], "masks": ["MASK"]}}, "output": ["FLOAT", "STRING"], "output_is_list": [false, false], "output_name": ["FLOAT", "STRING"], "name": "MaskOrImageToWeight", "display_name": "Mask Or Image To Weight", "description": "\nGets the mean values from mask or image batch \nand returns that as the selected output type. \n", "category": "KJNodes/weights", "output_node": false}, "WeightScheduleConvert": {"input": {"required": {"input_values": ["FLOAT", {"default": 0.0, "forceInput": true}], "output_type": [["match_input", "list", "pandas series", "tensor"], {"default": "list"}], "invert": ["BOOLEAN", {"default": false}], "repeat": ["INT", {"default": 1, "min": 1, "max": 255, "step": 1}]}, "optional": {"remap_to_frames": ["INT", {"default": 0}], "interpolation_curve": ["FLOAT", {"forceInput": true}], "remap_values": ["BOOLEAN", {"default": false}], "remap_min": ["FLOAT", {"default": 0.0, "min": -100000, "max": 100000.0, "step": 0.01}], "remap_max": ["FLOAT", {"default": 1.0, "min": -100000, "max": 100000.0, "step": 0.01}]}}, "output": ["FLOAT", "STRING", "INT"], "output_is_list": [false, false, false], "output_name": ["FLOAT", "STRING", "INT"], "name": "WeightScheduleConvert", "display_name": "Weight Schedule Convert", "description": "\nConverts different value lists/series to another type. \n", "category": "KJNodes/weights", "output_node": false}, "FloatToMask": {"input": {"required": {"input_values": ["FLOAT", {"forceInput": true, "default": 0}], "width": ["INT", {"default": 100, "min": 1}], "height": ["INT", {"default": 100, "min": 1}]}}, "output": ["MASK"], "output_is_list": [false], "output_name": ["MASK"], "name": "FloatToMask", "display_name": "Float To Mask", "description": "\nGenerates a batch of masks based on the input float values.\nThe batch size is determined by the length of the input float values.\nEach mask is generated with the specified width and height.\n", "category": "KJNodes/masking/generate", "output_node": false}, "FloatToSigmas": {"input": {"required": {"float_list": ["FLOAT", {"default": 0.0, "forceInput": true}]}}, "output": ["SIGMAS"], "output_is_list": [false], "output_name": ["SIGMAS"], "name": "FloatToSigmas", "display_name": "Float To Sigmas", "description": "\nCreates a sigmas tensor from list of float values. \n\n", "category": "KJNodes/noise", "output_node": false}, "PlotCoordinates": {"input": {"required": {"coordinates": ["STRING", {"forceInput": true}], "text": ["STRING", {"default": "title", "multiline": false}], "width": ["INT", {"default": 512, "min": 8, "max": 4096, "step": 8}], "height": ["INT", {"default": 512, "min": 8, "max": 4096, "step": 8}], "bbox_width": ["INT", {"default": 128, "min": 8, "max": 4096, "step": 8}], "bbox_height": ["INT", {"default": 128, "min": 8, "max": 4096, "step": 8}]}, "optional": {"size_multiplier": ["FLOAT", {"default": [1.0], "forceInput": true}]}}, "output": ["IMAGE", "INT", "INT", "INT", "INT"], "output_is_list": [false, false, false, false, false], "output_name": ["images", "width", "height", "bbox_width", "bbox_height"], "name": "PlotCoordinates", "display_name": "Plot Coordinates", "description": "\nPlots coordinates to sequence of images using Matplotlib. \n\n", "category": "KJNodes/experimental", "output_node": false}, "InterpolateCoords": {"input": {"required": {"coordinates": ["STRING", {"forceInput": true}], "interpolation_curve": ["FLOAT", {"forceInput": true}]}}, "output": ["STRING"], "output_is_list": [false], "output_name": ["coordinates"], "name": "InterpolateCoords", "display_name": "Interpolate Coords", "description": "\nInterpolates coordinates based on a curve. \n", "category": "KJNodes/experimental", "output_node": false}, "StabilityAPI_SD3": {"input": {"required": {"prompt": ["STRING", {"multiline": true}], "n_prompt": ["STRING", {"multiline": true}], "seed": ["INT", {"default": 123, "min": 0, "max": 4294967294, "step": 1}], "model": [["sd3", "sd3-turbo"], {"default": "sd3"}], "aspect_ratio": [["1:1", "16:9", "21:9", "2:3", "3:2", "4:5", "5:4", "9:16", "9:21"], {"default": "1:1"}], "output_format": [["png", "jpeg"], {"default": "jpeg"}]}, "optional": {"api_key": ["STRING", {"multiline": true}], "image": ["IMAGE"], "img2img_strength": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}], "disable_metadata": ["BOOLEAN", {"default": true}]}}, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "StabilityAPI_SD3", "display_name": "Stability API SD3", "description": "\n## Calls StabilityAI API\n \nAlthough you may have multiple keys in your account, \nyou should use the same key for all requests to this API. \n\nGet your API key here: https://platform.stability.ai/account/keys \nRecommended to set the key in the config.json -file under this \nnode packs folder. \n# WARNING: \nOtherwise the API key may get saved in the image metadata even \nwith \"disable_metadata\" on if the workflow includes save nodes \nseparate from this node. \n \nsd3 requires 6.5 credits per generation \nsd3-turbo requires 4 credits per generation \n\nIf no image is provided, mode is set to text-to-image \n\n", "category": "KJNodes/experimental", "output_node": false}, "SoundReactive": {"input": {"required": {"sound_level": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 99999, "step": 0.01}], "start_range_hz": ["INT", {"default": 150, "min": 0, "max": 9999, "step": 1}], "end_range_hz": ["INT", {"default": 2000, "min": 0, "max": 9999, "step": 1}], "multiplier": ["FLOAT", {"default": 1.0, "min": 0.01, "max": 99999, "step": 0.01}], "smoothing_factor": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}], "normalize": ["BOOLEAN", {"default": false}]}}, "output": ["FLOAT", "INT"], "output_is_list": [false, false], "output_name": ["sound_level", "sound_level_int"], "name": "SoundReactive", "display_name": "Sound Reactive", "description": "\nReacts to the sound level of the input. \nUses your browsers sound input options and requires. \nMeant to be used with realtime diffusion with autoqueue.\n", "category": "KJNodes/audio", "output_node": false}, "StableZero123_BatchSchedule": {"input": {"required": {"clip_vision": ["CLIP_VISION"], "init_image": ["IMAGE"], "vae": ["VAE"], "width": ["INT", {"default": 256, "min": 16, "max": 16384, "step": 8}], "height": ["INT", {"default": 256, "min": 16, "max": 16384, "step": 8}], "batch_size": ["INT", {"default": 1, "min": 1, "max": 4096}], "interpolation": [["linear", "ease_in", "ease_out", "ease_in_out"]], "azimuth_points_string": ["STRING", {"default": "0:(0.0),\n7:(1.0),\n15:(0.0)\n", "multiline": true}], "elevation_points_string": ["STRING", {"default": "0:(0.0),\n7:(0.0),\n15:(0.0)\n", "multiline": true}]}}, "output": ["CONDITIONING", "CONDITIONING", "LATENT"], "output_is_list": [false, false, false], "output_name": ["positive", "negative", "latent"], "name": "StableZero123_BatchSchedule", "display_name": "Stable Zero123 Batch Schedule", "description": "", "category": "KJNodes/experimental", "output_node": false}, "SV3D_BatchSchedule": {"input": {"required": {"clip_vision": ["CLIP_VISION"], "init_image": ["IMAGE"], "vae": ["VAE"], "width": ["INT", {"default": 576, "min": 16, "max": 16384, "step": 8}], "height": ["INT", {"default": 576, "min": 16, "max": 16384, "step": 8}], "batch_size": ["INT", {"default": 21, "min": 1, "max": 4096}], "interpolation": [["linear", "ease_in", "ease_out", "ease_in_out"]], "azimuth_points_string": ["STRING", {"default": "0:(0.0),\n9:(180.0),\n20:(360.0)\n", "multiline": true}], "elevation_points_string": ["STRING", {"default": "0:(0.0),\n9:(0.0),\n20:(0.0)\n", "multiline": true}]}}, "output": ["CONDITIONING", "CONDITIONING", "LATENT"], "output_is_list": [false, false, false], "output_name": ["positive", "negative", "latent"], "name": "SV3D_BatchSchedule", "display_name": "SV3D Batch Schedule", "description": "\nAllow scheduling of the azimuth and elevation conditions for SV3D. \nNote that SV3D is still a video model and the schedule needs to always go forward \nhttps://huggingface.co/stabilityai/sv3d\n", "category": "KJNodes/experimental", "output_node": false}, "LoadResAdapterNormalization": {"input": {"required": {"model": ["MODEL"], "resadapter_path": [["__checkpoints__"]]}}, "output": ["MODEL"], "output_is_list": [false], "output_name": ["MODEL"], "name": "LoadResAdapterNormalization", "display_name": "LoadResAdapterNormalization", "description": "", "category": "KJNodes/experimental", "output_node": false}, "Superprompt": {"input": {"required": {"instruction_prompt": ["STRING", {"default": "Expand the following prompt to add more detail", "multiline": true}], "prompt": ["STRING", {"default": "", "multiline": true, "forceInput": true}], "max_new_tokens": ["INT", {"default": 128, "min": 1, "max": 4096, "step": 1}]}}, "output": ["STRING"], "output_is_list": [false], "output_name": ["STRING"], "name": "Superprompt", "display_name": "Superprompt", "description": "\n# SuperPrompt\nA T5 model fine-tuned on the SuperPrompt dataset for \nupsampling text prompts to more detailed descriptions. \nMeant to be used as a pre-generation step for text-to-image \nmodels that benefit from more detailed prompts. \nhttps://huggingface.co/roborovski/superprompt-v1\n", "category": "KJNodes/text", "output_node": false}, "GLIGENTextBoxApplyBatchCoords": {"input": {"required": {"conditioning_to": ["CONDITIONING"], "latents": ["LATENT"], "clip": ["CLIP"], "gligen_textbox_model": ["GLIGEN"], "coordinates": ["STRING", {"forceInput": true}], "text": ["STRING", {"multiline": true}], "width": ["INT", {"default": 128, "min": 8, "max": 4096, "step": 8}], "height": ["INT", {"default": 128, "min": 8, "max": 4096, "step": 8}]}, "optional": {"size_multiplier": ["FLOAT", {"default": [1.0], "forceInput": true}]}}, "output": ["CONDITIONING", "IMAGE"], "output_is_list": [false, false], "output_name": ["conditioning", "coord_preview"], "name": "GLIGENTextBoxApplyBatchCoords", "display_name": "GLIGENTextBoxApplyBatchCoords", "description": "\nThis node allows scheduling GLIGEN text box positions in a batch, \nto be used with AnimateDiff-Evolved. Intended to pair with the \nSpline Editor -node. \n\nGLIGEN model can be downloaded through the Manage's \"Install Models\" menu. \nOr directly from here: \nhttps://huggingface.co/comfyanonymous/GLIGEN_pruned_safetensors/tree/main \n \nInputs: \n- **latents** input is used to calculate batch size \n- **clip** is your standard text encoder, use same as for the main prompt \n- **gligen_textbox_model** connects to GLIGEN Loader \n- **coordinates** takes a json string of points, directly compatible \nwith the spline editor node.\n- **text** is the part of the prompt to set position for \n- **width** and **height** are the size of the GLIGEN bounding box \n \nOutputs:\n- **conditioning** goes between to clip text encode and the sampler \n- **coord_preview** is an optional preview of the coordinates and \nbounding boxes.\n\n", "category": "KJNodes/experimental", "output_node": false}, "Intrinsic_lora_sampling": {"input": {"required": {"model": ["MODEL"], "lora_name": [["__intristic_loras__"]], "task": [["depth map", "surface normals", "albedo", "shading"], {"default": "depth map"}], "text": ["STRING", {"multiline": true, "default": ""}], "clip": ["CLIP"], "vae": ["VAE"], "per_batch": ["INT", {"default": 16, "min": 1, "max": 4096, "step": 1}]}, "optional": {"image": ["IMAGE"], "optional_latent": ["LATENT"]}}, "output": ["IMAGE", "LATENT"], "output_is_list": [false, false], "output_name": ["IMAGE", "LATENT"], "name": "Intrinsic_lora_sampling", "display_name": "Intrinsic Lora Sampling", "description": "\nSampler to use the intrinsic loras: \nhttps://github.com/duxiaodan/intrinsic-lora \nThese LoRAs are tiny and thus included \nwith this node pack.\n", "category": "KJNodes", "output_node": false}, "CreateInstanceDiffusionTracking": {"input": {"required": {"coordinates": ["STRING", {"forceInput": true}], "width": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "height": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "bbox_width": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "bbox_height": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "class_name": ["STRING", {"default": "class_name"}], "class_id": ["INT", {"default": 0, "min": 0, "max": 255, "step": 1}], "prompt": ["STRING", {"default": "prompt", "multiline": true}]}, "optional": {"size_multiplier": ["FLOAT", {"default": [1.0], "forceInput": true}], "fit_in_frame": ["BOOLEAN", {"default": true}]}}, "output": ["TRACKING", "STRING", "INT", "INT", "INT", "INT"], "output_is_list": [false, false, false, false, false, false], "output_name": ["tracking", "prompt", "width", "height", "bbox_width", "bbox_height"], "name": "CreateInstanceDiffusionTracking", "display_name": "CreateInstanceDiffusionTracking", "description": "\nCreates tracking data to be used with InstanceDiffusion: \nhttps://github.com/logtd/ComfyUI-InstanceDiffusion \n \nInstanceDiffusion prompt format: \n\"class_id.class_name\": \"prompt\", \nfor example: \n\"1.head\": \"((head))\", \n", "category": "KJNodes/InstanceDiffusion", "output_node": false}, "AppendInstanceDiffusionTracking": {"input": {"required": {"tracking_1": ["TRACKING", {"forceInput": true}], "tracking_2": ["TRACKING", {"forceInput": true}]}, "optional": {"prompt_1": ["STRING", {"default": "", "forceInput": true}], "prompt_2": ["STRING", {"default": "", "forceInput": true}]}}, "output": ["TRACKING", "STRING"], "output_is_list": [false, false], "output_name": ["tracking", "prompt"], "name": "AppendInstanceDiffusionTracking", "display_name": "AppendInstanceDiffusionTracking", "description": "\nAppends tracking data to be used with InstanceDiffusion: \nhttps://github.com/logtd/ComfyUI-InstanceDiffusion \n\n", "category": "KJNodes/InstanceDiffusion", "output_node": false}, "DrawInstanceDiffusionTracking": {"input": {"required": {"image": ["IMAGE"], "tracking": ["TRACKING", {"forceInput": true}], "box_line_width": ["INT", {"default": 2, "min": 1, "max": 10, "step": 1}], "draw_text": ["BOOLEAN", {"default": true}], "font": [["__kjnodes_fonts__"]], "font_size": ["INT", {"default": 20}]}}, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["image"], "name": "DrawInstanceDiffusionTracking", "display_name": "DrawInstanceDiffusionTracking", "description": "\nDraws the tracking data from \nCreateInstanceDiffusionTracking -node.\n\n", "category": "KJNodes/InstanceDiffusion", "output_node": false}, "SaveImageExtended": {"input": {"required": {"images": ["IMAGE"], "filename_prefix": ["STRING", {"default": "ComfyUI"}], "file_type": [["PNG", "JPEG", "WEBP (lossless)", "WEBP (lossy)"]]}, "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"}}, "output": [], "output_is_list": [], "output_name": [], "name": "SaveImageExtended", "display_name": "Save Image (Extended)", "description": "", "category": "image", "output_node": true}, "BRIA_RMBG_ModelLoader_Zho": {"input": {"required": {}}, "output": ["RMBGMODEL"], "output_is_list": [false], "output_name": ["rmbgmodel"], "name": "BRIA_RMBG_ModelLoader_Zho", "display_name": "\ud83e\uddf9BRIA_RMBG Model Loader", "description": "", "category": "\ud83e\uddf9BRIA RMBG", "output_node": false}, "BRIA_RMBG_Zho": {"input": {"required": {"rmbgmodel": ["RMBGMODEL"], "image": ["IMAGE"]}}, "output": ["IMAGE", "MASK"], "output_is_list": [false, false], "output_name": ["image", "mask"], "name": "BRIA_RMBG_Zho", "display_name": "\ud83e\uddf9BRIA RMBG", "description": "", "category": "\ud83e\uddf9BRIA RMBG", "output_node": false}, "Lerp": {"input": {"required": {"num_Images": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 9999.0, "step": 1.0}], "strength": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}], "current_frame": ["INT", {"default": 1.0, "min": 0.0, "max": 9999, "step": 1.0}]}}, "output": ["FLOAT", "INT"], "output_is_list": [false, false], "output_name": ["FLOAT", "INT"], "name": "Lerp", "display_name": "Lerp \ud83d\udcc5\ud83c\udd55\ud83c\udd5d", "description": "", "category": "FizzNodes \ud83d\udcc5\ud83c\udd55\ud83c\udd5d/WaveNodes", "output_node": false}, "SinWave": {"input": {"required": {"phase": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 9999.0, "step": 1.0}], "amplitude": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 9999.0, "step": 0.1}], "x_translation": ["FLOAT", {"default": 0.0, "min": 0.0, "max": 9999.0, "step": 1.0}], "y_translation": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 9999.0, "step": 0.05}], "current_frame": ["INT", {"default": 1.0, "min": 0.0, "max": 9999.0, "step": 1.0}]}}, "output": ["FLOAT", "INT"], "output_is_list": [false, false], "output_name": ["FLOAT", "INT"], "name": "SinWave", "display_name": "SinWave \ud83d\udcc5\ud83c\udd55\ud83c\udd5d", "description": "", "category": "FizzNodes \ud83d\udcc5\ud83c\udd55\ud83c\udd5d/WaveNodes", "output_node": false}, "InvSinWave": {"input": {"required": {"phase": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 9999.0, "step": 1.0}], "amplitude": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 9999.0, "step": 0.1}], "x_translation": ["FLOAT", {"default": 0.0, "min": 0.0, "max": 9999.0, "step": 1.0}], "y_translation": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 9999.0, "step": 0.05}], "current_frame": ["INT", {"default": 1.0, "min": 0.0, "max": 9999.0, "step": 1.0}]}}, "output": ["FLOAT", "INT"], "output_is_list": [false, false], "output_name": ["FLOAT", "INT"], "name": "InvSinWave", "display_name": "InvSinWave \ud83d\udcc5\ud83c\udd55\ud83c\udd5d", "description": "", "category": "FizzNodes \ud83d\udcc5\ud83c\udd55\ud83c\udd5d/WaveNodes", "output_node": false}, "CosWave": {"input": {"required": {"phase": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 9999.0, "step": 1.0}], "amplitude": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 9999.0, "step": 0.1}], "x_translation": ["FLOAT", {"default": 0.0, "min": 0.0, "max": 9999.0, "step": 1.0}], "y_translation": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 9999.0, "step": 0.05}], "current_frame": ["INT", {"default": 1.0, "min": 0.0, "max": 9999.0, "step": 1.0}]}}, "output": ["FLOAT", "INT"], "output_is_list": [false, false], "output_name": ["FLOAT", "INT"], "name": "CosWave", "display_name": "CosWave \ud83d\udcc5\ud83c\udd55\ud83c\udd5d", "description": "", "category": "FizzNodes \ud83d\udcc5\ud83c\udd55\ud83c\udd5d/WaveNodes", "output_node": false}, "InvCosWave": {"input": {"required": {"phase": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 9999.0, "step": 1.0}], "amplitude": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 9999.0, "step": 0.1}], "x_translation": ["FLOAT", {"default": 0.0, "min": 0.0, "max": 9999.0, "step": 1.0}], "y_translation": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 9999.0, "step": 0.05}], "current_frame": ["INT", {"default": 1.0, "min": 0.0, "max": 9999.0, "step": 1.0}]}}, "output": ["FLOAT", "INT"], "output_is_list": [false, false], "output_name": ["FLOAT", "INT"], "name": "InvCosWave", "display_name": "InvCosWave \ud83d\udcc5\ud83c\udd55\ud83c\udd5d", "description": "", "category": "FizzNodes \ud83d\udcc5\ud83c\udd55\ud83c\udd5d/WaveNodes", "output_node": false}, "SquareWave": {"input": {"required": {"phase": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 9999.0, "step": 1.0}], "amplitude": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 9999.0, "step": 0.1}], "x_translation": ["FLOAT", {"default": 0.0, "min": 0.0, "max": 9999.0, "step": 1.0}], "y_translation": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 9999.0, "step": 0.05}], "current_frame": ["INT", {"default": 1.0, "min": 0.0, "max": 9999.0, "step": 1.0}]}}, "output": ["FLOAT", "INT"], "output_is_list": [false, false], "output_name": ["FLOAT", "INT"], "name": "SquareWave", "display_name": "SquareWave \ud83d\udcc5\ud83c\udd55\ud83c\udd5d", "description": "", "category": "FizzNodes \ud83d\udcc5\ud83c\udd55\ud83c\udd5d/WaveNodes", "output_node": false}, "SawtoothWave": {"input": {"required": {"phase": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 9999.0, "step": 1.0}], "step_increment": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 9999.0, "step": 0.1}], "x_translation": ["FLOAT", {"default": 0.0, "min": 0.0, "max": 9999.0, "step": 1.0}], "start_value": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 9999.0, "step": 0.05}], "current_frame": ["INT", {"default": 1.0, "min": 0.0, "max": 9999.0, "step": 1.0}]}}, "output": ["FLOAT", "INT"], "output_is_list": [false, false], "output_name": ["FLOAT", "INT"], "name": "SawtoothWave", "display_name": "SawtoothWave \ud83d\udcc5\ud83c\udd55\ud83c\udd5d", "description": "", "category": "FizzNodes \ud83d\udcc5\ud83c\udd55\ud83c\udd5d/WaveNodes", "output_node": false}, "TriangleWave": {"input": {"required": {"phase": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 9999.0, "step": 1.0}], "amplitude": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 9999.0, "step": 0.1}], "x_translation": ["FLOAT", {"default": 0.0, "min": 0.0, "max": 9999.0, "step": 1.0}], "y_translation": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 9999.0, "step": 0.05}], "current_frame": ["INT", {"default": 1.0, "min": 0.0, "max": 9999.0, "step": 1.0}]}}, "output": ["FLOAT", "INT"], "output_is_list": [false, false], "output_name": ["FLOAT", "INT"], "name": "TriangleWave", "display_name": "TriangleWave \ud83d\udcc5\ud83c\udd55\ud83c\udd5d", "description": "", "category": "FizzNodes \ud83d\udcc5\ud83c\udd55\ud83c\udd5d/WaveNodes", "output_node": false}, "AbsCosWave": {"input": {"required": {"phase": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 9999.0, "step": 1.0}], "amplitude": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 9999.0, "step": 0.1}], "x_translation": ["FLOAT", {"default": 0.0, "min": 0.0, "max": 9999.0, "step": 1.0}], "max_value": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 9999.0, "step": 0.05}], "current_frame": ["INT", {"default": 1.0, "min": 0.0, "max": 9999.0, "step": 1.0}]}}, "output": ["FLOAT", "INT"], "output_is_list": [false, false], "output_name": ["FLOAT", "INT"], "name": "AbsCosWave", "display_name": "AbsCosWave \ud83d\udcc5\ud83c\udd55\ud83c\udd5d", "description": "", "category": "FizzNodes \ud83d\udcc5\ud83c\udd55\ud83c\udd5d/WaveNodes", "output_node": false}, "AbsSinWave": {"input": {"required": {"phase": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 9999.0, "step": 1.0}], "amplitude": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 9999.0, "step": 0.1}], "x_translation": ["FLOAT", {"default": 0.0, "min": 0.0, "max": 9999.0, "step": 1.0}], "max_value": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 9999.0, "step": 0.05}], "current_frame": ["INT", {"default": 1.0, "min": 0.0, "max": 9999.0, "step": 1.0}]}}, "output": ["FLOAT", "INT"], "output_is_list": [false, false], "output_name": ["FLOAT", "INT"], "name": "AbsSinWave", "display_name": "AbsSinWave \ud83d\udcc5\ud83c\udd55\ud83c\udd5d", "description": "", "category": "FizzNodes \ud83d\udcc5\ud83c\udd55\ud83c\udd5d/WaveNodes", "output_node": false}, "PromptSchedule": {"input": {"required": {"text": ["STRING", {"multiline": true, "default": "\"0\" :\"\",\n\"11\" :\"\",\n\"23\" :\"\",\n\"35\" :\"\",\n\"47\" :\"\",\n\"59\" :\"\",\n\"71\" :\"\",\n\"83\" :\"\",\n\"95\" :\"\",\n\"107\" :\"\",\n\"119\" :\"\"\n"}], "clip": ["CLIP"], "max_frames": ["INT", {"default": 120.0, "min": 1.0, "max": 999999.0, "step": 1.0}], "current_frame": ["INT", {"default": 0.0, "min": 0.0, "max": 999999.0, "step": 1.0, "forceInput": true}], "print_output": ["BOOLEAN", {"default": false}]}, "optional": {"pre_text": ["STRING", {"multiline": true, "forceInput": true}], "app_text": ["STRING", {"multiline": true, "forceInput": true}], "pw_a": ["FLOAT", {"default": 0.0, "min": -9999.0, "max": 9999.0, "step": 0.1, "forceInput": true}], "pw_b": ["FLOAT", {"default": 0.0, "min": -9999.0, "max": 9999.0, "step": 0.1, "forceInput": true}], "pw_c": ["FLOAT", {"default": 0.0, "min": -9999.0, "max": 9999.0, "step": 0.1, "forceInput": true}], "pw_d": ["FLOAT", {"default": 0.0, "min": -9999.0, "max": 9999.0, "step": 0.1, "forceInput": true}]}}, "output": 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