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wip add AI generated descriptions to all nodes

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This commit is contained in:
pythongosssss
2026-02-16 14:02:17 -08:00
parent 88e6370527
commit ecec1310b2
119 changed files with 1059 additions and 15 deletions
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19
comfy_extras/nodes_post_processing.py
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@@ -20,6 +20,8 @@ class Blend(io.ComfyNode):
return io.Schema(
node_id="ImageBlend",
category="image/postprocessing",
description="Blends two images together using a selectable blend mode and adjustable blend factor.",
short_description="Blends two images using a selected blend mode.",
inputs=[
io.Image.Input("image1"),
io.Image.Input("image2"),
@@ -77,6 +79,8 @@ class Blur(io.ComfyNode):
return io.Schema(
node_id="ImageBlur",
category="image/postprocessing",
description="Applies a Gaussian blur to an image with configurable radius and sigma.",
short_description="Applies Gaussian blur to an image.",
inputs=[
io.Image.Input("image"),
io.Int.Input("blur_radius", default=1, min=1, max=31, step=1),
@@ -112,6 +116,8 @@ class Quantize(io.ComfyNode):
return io.Schema(
node_id="ImageQuantize",
category="image/postprocessing",
description="Reduces the number of colors in an image with optional dithering.",
short_description="",
inputs=[
io.Image.Input("image"),
io.Int.Input("colors", default=256, min=1, max=256, step=1),
@@ -177,6 +183,8 @@ class Sharpen(io.ComfyNode):
return io.Schema(
node_id="ImageSharpen",
category="image/postprocessing",
description="Sharpens an image using an unsharp mask with configurable radius, sigma, and strength.",
short_description="Sharpens an image using unsharp mask.",
inputs=[
io.Image.Input("image"),
io.Int.Input("sharpen_radius", default=1, min=1, max=31, step=1),
@@ -221,6 +229,8 @@ class ImageScaleToTotalPixels(io.ComfyNode):
return io.Schema(
node_id="ImageScaleToTotalPixels",
category="image/upscaling",
description="Scales an image to a target total megapixel count while preserving aspect ratio, with configurable resolution stepping.",
short_description="Scales an image to a target megapixel count.",
inputs=[
io.Image.Input("image"),
io.Combo.Input("upscale_method", options=cls.upscale_methods),
@@ -430,6 +440,7 @@ class ResizeImageMaskNode(io.ComfyNode):
node_id="ResizeImageMaskNode",
display_name="Resize Image/Mask",
description="Resize an image or mask using various scaling methods.",
short_description=None,
category="transform",
search_aliases=["resize", "resize image", "resize mask", "scale", "scale image", "scale mask", "image resize", "change size", "dimensions", "shrink", "enlarge"],
inputs=[
@@ -565,6 +576,8 @@ class BatchImagesNode(io.ComfyNode):
node_id="BatchImagesNode",
display_name="Batch Images",
category="image",
description="Combines multiple images into a single batch, resizing them to match the first image's dimensions.",
short_description="Combines multiple images into a single batch.",
search_aliases=["batch", "image batch", "batch images", "combine images", "merge images", "stack images"],
inputs=[
io.Autogrow.Input("images", template=autogrow_template)
@@ -587,6 +600,8 @@ class BatchMasksNode(io.ComfyNode):
search_aliases=["combine masks", "stack masks", "merge masks"],
display_name="Batch Masks",
category="mask",
description="Combines multiple masks into a single batch, resizing them to match the first mask's dimensions.",
short_description="Combines multiple masks into a single batch.",
inputs=[
io.Autogrow.Input("masks", template=autogrow_template)
],
@@ -608,6 +623,8 @@ class BatchLatentsNode(io.ComfyNode):
search_aliases=["combine latents", "stack latents", "merge latents"],
display_name="Batch Latents",
category="latent",
description="Combines multiple latent tensors into a single batch, reshaping them to match the first latent's dimensions.",
short_description="Combines multiple latents into a single batch.",
inputs=[
io.Autogrow.Input("latents", template=autogrow_template)
],
@@ -632,6 +649,8 @@ class BatchImagesMasksLatentsNode(io.ComfyNode):
search_aliases=["combine batch", "merge batch", "stack inputs"],
display_name="Batch Images/Masks/Latents",
category="util",
description="Combines multiple images, masks, or latents into a single batch, automatically detecting the input type.",
short_description="Batches images, masks, or latents together.",
inputs=[
io.Autogrow.Input("inputs", template=autogrow_template)
],