Nourepide-ComfyUI-Allor

Allor is a powerful ComfyUI plugin for image processing with an emphasis on transparency and performance.
All modules and nodes support transparency and multi-image (batch) processing.
Almost all functionality is implemented in tensor space, avoiding unnecessary image transformations where possible.
Allor aims to provide a level of control over image modification that is close to professional tools.
Allor contains more than 90 nodes with many parameters.
Can be configured and allows you to disable unnecessary for you functionality.

Modules:

Click on Details to open/close the drop-down menu with all modules.

Details: 👈

Alpha chanel

Helpers for work with alpha chanel in exiting images.

Nodes:

Add

Adds alpha chanel to images (Convert RGB to RGBA).

Add By Mask

Applies transparency to the images using a mask.

Params:

method -
- default - Standard mask overlay.
- invert - Inverted mask overlay.

As Mask

Get alpha chanel from first images and returns it as mask.

Params:

method -
- default - Standard mask overlay.
- invert - Inverted mask overlay.

Restore

Add alpha dimension to images. Or restore if it already exists.

Params:

method -
- default - Apply adding new alpha chanel or restore chanel values to max if it already exists.
- only_add - Only add new alpha chanel if it does not exist.
- only_restore - Only restore alpha chanel values to max if it already exists.

Remove

Completely removes alpha chanel from images (Convert RGBA to RGB).

Image Container

Creating blank images of fixed or inherited size.

Nodes:

All

[red, green, blue] [0 - 255] - Color of the container in RGB.
alpha [0.0 - 1.0] - Transparency of the container.

Default

Create an empty container.

Params:

[width, height] [1 - *] - Size of a new container.

Inheritance Add

Get images size and create a container with adding value to this size.

Params:

add_[width, height] [0 - *] - The value that will then be added to the size of the container.

Inheritance Scale

Get images size and create a container with scaling this size.

Params:

scale_[width, height] [0.0 - *] - Scale factor that will then be change the size of the container.

Inheritance Max

Get max width and max height from images_a and images_b and create a new container with this size.

Inheritance Sum

Get width and/or height from images_a and images_b and create a new container with a sum this size.

PS:

The first letter i in the word Inheritance is barely noticeable. But in the end, I decided to leave it as it is. At first, I thought to replace this word with the word Extended, but one would think that this node expands the incoming images by adding size to it, and does not create a new image inheriting size from the incoming images.

Image Composite

Allows you to place one image on top of another.

Nodes:

All

background - The placement order of images in the container.
method - The method of connecting images makes sense only when 2 or more images are passed to the input.

Methods:

Inputs - [a1, a2, a3] and [b1, b2, b3].
Outputs -
    pair: [a1, b1], [a2, b2], [a3, b3]
    matrix: [a1, b1], [a1, b2], [a1, b3]
            [a2, b1], [a2, b2], [a2, b3]
            [a3, b1], [a3, b2], [a3, b3]

Absolute

Use it for pixel-perfect images compositing.

Params:

images_[a, b]_x [0 - *] - Images horizontal position. [left -> right].
images_[a, b]_y [0 - *] - Images vertical position. [top -> bottom].
container_[width, height] [0 - *] - Container size. If 0, then the container will be with the maximum width and height of the images.

AbsoluteByContainer

Use it for pixel-perfect images compositing. The size of the container is taken from the outside.

Params:

container - Image "donor". Its size will determine the size of the compositing space.
images_[a, b]_x [0 - *] - Images horizontal position. [left -> right].
images_[a, b]_y [0 - *] - Images vertical position. [top -> bottom].

Relative

Use it for percentage images compositing.

Params:

images_[a, b]_x [0.0 - 1.0] - First images horizontal offset. [left edge -> right edge].
images_[a, b]_y [0.0 - 1.0] - First images vertical offset. [top edge -> bottom edge].
container_size_type
- max - Maximum of width and height from images_a and images_b.
- sum - Sum of width and height from images_a and images_b.
- sum_[width, height] - Sum of width or height from images_a and images_b.

How it works.

Images in relative mode cannot go beyond the edges of the container.
In horizontal [0.0 - images is located on the left of the container], [1.0 - on right of container].
In vertical [0.0 - images is located on the top of the container], [1.0 - on bottom of container].
In all cases, [0.5] means that the images will be in the center.

RelativeByContainer

Use it for percentage images compositing. The size of the container is taken from the outside.

Params:

container - Image "donor". Its size will determine the size of the compositing space. Can't be smaller then max size of with or height images_[a, b].
images_[a, b]_x [0.0 - 1.0] - First images horizontal offset. [left edge -> right edge].
images_[a, b]_y [0.0 - 1.0] - First images vertical offset. [top edge -> bottom edge].

Image Segmentation

Removes background from image.

Nodes:

All

alpha_matting [boolean] - Alpha matting is a post-processing step that can be used to improve the quality of the output.
alpha_matting_foreground_threshold [0 - 250] - Trimap foreground threshold.
alpha_matting_background_threshold [0 - 250] - Trimap background threshold.
alpha_matting_erode_size [0 - *] - How far will the transparency spread from the original mask.
post_process_mask [boolean] - Post-processing mask, makes it rougher.

Default

Allows you to select a model with pre-specified settings.:

Params:

u2net - GitHub
u2netp - GitHub
u2net_human_seg - GitHub
u2net_cloth_seg - GitHub
silueta - GitHub
isnet-general-use - GitHub
isnetis - GitHub (I recommend alpha_matting parameter set to false)
modnet-p - GitHub (Not calibrated)
modnet-w - GitHub (Not calibrated)

Custom

Allows you to select a model from the onnx folder and specify the parameters yourself.

Params:

model [*.onnx] - Your model in ComfyUI/models/onnx folder.
mean [0.0 - 1.0] - Clarifying value.
std [0.0 - 1.0] - The divisor of the final value. I recommend leaving it at 1.0.
size [0 - *] - Title size. Different models support different sizes. Or their multiple values [512 -> 1024 -> 2048...]. If the size does not match the desired one, you will see a notification in the console.

Custom Advanced

Allows you to select a model from the onnx folder and finely specify the parameters yourself.

Params:

model [*.onnx] - Your model in ComfyUI/models/onnx folder.
mean_r [0.0 - 1.0] - Clarifying value. Red chanel.
mean_g [0.0 - 1.0] - Clarifying value. Green chanel.
mean_b [0.0 - 1.0] - Clarifying value. Blue chanel.
std_r [0.0 - 1.0] - The divisor of the final value. Red chanel.
std_g [0.0 - 1.0] - The divisor of the final value. Green chanel.
std_b [0.0 - 1.0] - The divisor of the final value. Blue chanel.
width [0 - *] - Width of title size.
height [0 - *] - Height of title size.

Some models support non-standard title size. For example [w:1024 - h:2048].

PS:

Made on rembg. The solution of some problems may be dependent on the rembg developer.

ImageText

Creating text as image.

Fonts should be contained in ComfyUI/comfy_extras/fonts.

You also can change the fonts folder in config.

Nodes:

Default

Create an image with text.

Params:

text - Your input. Shouldn't be empty.
font [*.otf, *.ttf] - Font from ComfyUI/comfy_extras/fonts folder.
size [1 - *] - Font size in SP. Warning!: It's not PX size of the container. The size of the container is calculated using a variety of parameters. Example: o and j will have different height and exactly different size compared to 树.
[red, green, blue] [0 - 255] - Color of the text in RGB.
alpha [0.0 - 1.0] - Transparency of the text.
margin_x [0 - *] - Horizontal offset.
margin_y [0 - *] - Vertical offset.

Outlined

Create an image with outlined text.

Params:

outline_size [0 - *] - Outline size in PX.
outline_[red, green, blue] [0 - 255] - Color of the outline in RGB.

Multiline

Create an image with text.

Params:

text - Your input. Shouldn't be empty.
font [*.otf, *.ttf] - Font from ComfyUI/comfy_extras/fonts folder.
size [1 - *] - Font size in SP. Warning!: It's not PX size of the container. The size of the container is calculated using a variety of parameters. Example: o and j will have different height and exactly different size compared to 树.
[red, green, blue] [0 - 255] - Color of the text in RGB.
alpha [0.0 - 1.0] - Transparency of the text.
margin_x [0 - *] - Horizontal offset.
margin_y [0 - *] - Vertical offset.

Multiline Outlined

Create an image with outlined text.

Params:

outline_size [0 - *] - Outline size in PX.
outline_[red, green, blue] [0 - 255] - Color of the outline in RGB.

ImageDraw

Draw figures as image.

Nodes:

All

All nodes has ByContainer version.

SSAO [1 - 16] - Super Sampling Anti-Aliasing. The figure is drawn initially at a higher resolution, and then compressed to the specified resolution.

The difference of SSAA strength:

From left to right, x1, x2, x4, x8, x16. Image container size 256x256px.

Arc

Draws an arc (a portion of a circle outline) between the start and end angles, inside the given bounding box.

Params:

[width, height] [1 - *] - Size of image container.
size [1 - *] - contour width.
start_[x, y] [0.0 - 1.0] - Start points to define the bounding box in percent of image container.
end_[x, y] [0.0 - 1.0] - End points to define the bounding box in percent of image container.
[start, end] [0 - 360] - Starting and ending angle, in degrees. Angles are measured from 3 o’clock, increasing clockwise.
[red, green, blue] [0 - 255] - Color of the figure in RGB.
alpha [0.0 - 1.0] - Transparency of the figure.

Chord

Same as Arc, but connects the end points with a straight line.

Params:

[width, height] [1 - *] - Size of image container.
size [1 - *] - contour width.
start_[x, y] [0.0 - 1.0] - Start points to define the bounding box in percent of image container.
end_[x, y] [0.0 - 1.0] - End points to define the bounding box in percent of image container.
[start, end] [0 - 360] - Starting and ending angle, in degrees. Angles are measured from 3 o’clock, increasing clockwise.
[red, green, blue] [0 - 255] - Color of the figure in RGB.
alpha [0.0 - 1.0] - Transparency of the figure.

Ellipse

Draws an ellipse inside the given bounding box.

Params:

[width, height] [1 - *] - Size of image container.
start_[x, y] [0.0 - 1.0] - Start points to define the bounding box in percent of image container.
end_[x, y] [0.0 - 1.0] - End points to define the bounding box in percent of image container.
outline_size [0 - *] - Outline size in PX.
outline_[red, green, blue] [0 - 255] - Color of the outline in RGB.
outline_alpha [0.0 - 1.0] - Transparency of the outline.
fill_[red, green, blue] [0 - 255] - Color of the fill in RGB.
fill_alpha [0.0 - 1.0] - Transparency of the fill.

Line

Draws a line between the coordinates.

Params:

[width, height] [1 - *] - Size of image container.
size [1 - *] - contour width.
start_[x, y] [0.0 - 1.0] - Starting point of line.
end_[x, y] [0.0 - 1.0] - Ending point of line.
[red, green, blue] [0 - 255] - Color of the line in RGB.
alpha [0.0 - 1.0] - Transparency of the line.

Pieslice

Same as Arc, but also draws straight lines between the end points and the center of the bounding box.

Params:

[width, height] [1 - *] - Size of image container.
start_[x, y] [0.0 - 1.0] - Start points to define the bounding box in percent of image container.
end_[x, y] [0.0 - 1.0] - End points to define the bounding box in percent of image container.
[start, end] [0 - 360] - Starting and ending angle, in degrees. Angles are measured from 3 o’clock, increasing clockwise.
outline_size [0 - *] - Outline size in PX.
outline_[red, green, blue] [0 - 255] - Color of the outline in RGB.
outline_alpha [0.0 - 1.0] - Transparency of the outline.
fill_[red, green, blue] [0 - 255] - Color of the fill in RGB.
fill_alpha [0.0 - 1.0] - Transparency of the fill.

Rectangle

Draws a rectangle.

Params:

[width, height] [1 - *] - Size of image container.
start_[x, y] [0.0 - 1.0] - Start points to define the bounding box in percent of image container.
end_[x, y] [0.0 - 1.0] - End points to define the bounding box in percent of image container.
outline_size [0 - *] - Outline size in PX.
outline_[red, green, blue] [0 - 255] - Color of the outline in RGB.
outline_alpha [0.0 - 1.0] - Transparency of the outline.
fill_[red, green, blue] [0 - 255] - Color of the fill in RGB.
fill_alpha [0.0 - 1.0] - Transparency of the fill.

Rectangle Rounded

Draws a rounded rectangle.

Params:

[width, height] [1 - *] - Size of image container.
start_[x, y] [0.0 - 1.0] - Start points to define the bounding box in percent of image container.
end_[x, y] [0.0 - 1.0] - End points to define the bounding box in percent of image container.
radius [0 -360] - Radius of the corners.
outline_size [0 - *] - Outline size in PX.
outline_[red, green, blue] [0 - 255] - Color of the outline in RGB.
outline_alpha [0.0 - 1.0] - Transparency of the outline.
fill_[red, green, blue] [0 - 255] - Color of the fill in RGB.
fill_alpha [0.0 - 1.0] - Transparency of the fill.
[top_left, top_right, bottom_right, bottom_left]_corner [boolean] - The ability to choose for which angle to apply the radius.

Polygon

Draws a polygon.

Params:

size [1 - *] - Size of image.
sides [3 - *] - Sides of polygon.
rotation [0 - 360] - Apply an arbitrary rotation to the polygon in degree.
outline_size [0 - *] - Outline size in PX.
outline_[red, green, blue] [0 - 255] - Color of the outline in RGB.
outline_alpha [0.0 - 1.0] - Transparency of the outline.
fill_[red, green, blue] [0 - 255] - Color of the fill in RGB.
fill_alpha [0.0 - 1.0] - Transparency of the fill.

Image Effects

Apply effects to images.

Nodes:

Adjustment

Adjust your images with color correction.

Params:

brightness [0.0 - *] - Adjust brightness of images with scale.
contrast [0.0 - *] - Adjust contrast of images with scale.
saturation [0.0 - *] - Adjust color saturation of an images with scale.
hue [0.0 - 1.0] - Adjust hue of images.
gamma [0.0 - *] - Perform gamma correction on an images with scale.
sharpness [0.0 - *] - Adjust the sharpness of an images with scale.
[red, green, blue] - Scale color factor.

Grayscale

Turn your images into monochrome.

Sepia

Add an antique effect to your images.

Negative

Add negative effect.

Lens Zoom Burst

Emulate a Zoom Burst effect to images.

Params:

scale [1.0 - *] - How far the zoom will aim. Where 2.0 is x2 from image size.
samples [1 - *] - How many intermediate frames will be created.
position_[x, y] [0.0 - 1.0] - Relative image position
rotation [0.0 - *] - Rotation in angle.
method [circle, point]
- circle - Zoom will spread out in the form of a circle, and do not take into account the boundaries of the images.
- point - Zoom will spread out from point to boundaries of the images.
stabilization [boolean]- If set to true, the images will retain their size.

Lens Chromatic Aberration

Apply a camera lens color shift to the images.

Attention⚡: You can test all params of Chromatic Aberration with this JSON. The example works using Image Draw module and does not require any preparation. Changing the parameters leads to very unusual effects that you will not find anywhere else, so I recommend that you spend time on this and get acquainted as best as possible for incredible results.

Params:

shift [0 - *] - Color shift in PX.
method [reflect, edge, constant] - Method for fill new empty space around image while effect applying. The new space does not fall into the final result and is only needed to avoid artifacts.
shift_type [1 - 4] - Type of chromatic aberration.
mixing_type [1 - 4] - Type of method for shifting colors.
transpose [none, rotate, reflect] - Shifting direction, where none is without changes, rotate is in alternative direction and reflect in both directions at the same time.
colors [rb, rg, gb]- The color layers that will be shifted.
lens_curvy [0.0 - 15.0] - The value of the curve during the propagation of the effect, where 1.0 is linear. Not work with shift_type 4.

lens_curvy in details:

Lens Bokeh

Emulate a bokeh effect to images.

Params:

blades_shape [3 - *] - The number of blades at the lens.
blades_radius [1 - *] - Size of blades.
blades_rotation [0.0 - 360.0] - Blades rotation.
blur_size [2 - *] - Blur strength.
blur_type [bilateral, stack, none]
- bilateral - Blur is set up to preserve sharp and bright edges.
- stack - Blur with color correction.
- none - Without blur.
method [dilate, filter]
- dilate - A good choice for initially bright images. Creates a strong bokeh effect, but spoils the details of the image. I can recommend it only for the background.
- filter - Very fast. A weak bokeh effect, I recommend it for dark images with bright rare details such as lamp lights or car headlights. Originally created under the impression of LensBlur in Adobe Photoshop and achieved about 80%~ compliance. I recommend setting blur_type as none since it blurs the image by itself.

Lens Optic Axis

Apply a camera lens distort to the images.

Params:

lens_shape [circle, square, rectangle, corners] - Form of lens.

lens_shape in details:

lens_edge [around, symmetric] - If around is selected, the lens will adjust to the proportions of the image.
lens_curvy [0.0 - 15.0] - The value of the curve during the propagation of the effect, where 1.0 is linear.

lens_curvy in details:

lens_zoom [0 - *] - How close lens are to the center of images.
lens_aperture [0 - *] - How much lens will distort images.
blur_intensity [0.0 - *] - Strength of blur due to lens.

Lens Vignette

Apply a camera lens decreasing in the brightness and saturation to the images.

Params:

lens_shape [circle, rectangle] - Form of lens.

lens_shape in details:

lens_edge [around, symmetric] - If around is selected, the lens will adjust to the proportions of the image.
lens_curvy [0.0 - 15.0] - The value of the curve during the propagation of the effect, where 1.0 is linear.

lens_curvy in details:

lens_zoom [0 - *] - How close lens are to the center of images.
brightness [0.0 - *] - Adjust brightness of images with scale.
saturation [0.0 - *] - Adjust color saturation of an images with scale.

Image Filter

Apply filters to images.

Nodes:

Warning Some changes are difficult to notice without detailed consideration.You can load this JSON and look at the changes in detail.

Smooth

Anti-Aliasing of image artifacts.

Smooth More

Improved Anti-Aliasing of image artifacts.

Blur

Blurring the image.

Params:

size_[x, y] [1 - *] - The strength of the blur application for horizontal and vertical direction.

Box Blur

Blurring the image by box algorithm.

Params:

size_[x, y] [1 - *] - The strength of the blur application for horizontal and vertical direction.

Gaussian Blur

Blurring the image by gaussian algorithm.

Params:

All

size_[x, y] [1 - *] - The strength of the blur application for horizontal and vertical direction.

Advanced

sigma_[x, y] [1 - *] - The scale of the blur deviation.

Stack Blur

Blurring the image by stack algorithm.

Params:

size_[x, y] [1 - *] - The strength of the blur application for horizontal and vertical direction.

Median Blur

Blurring the image by median algorithm.

Params:

size_[x, y] [1 - *] - The strength of the blur application for horizontal and vertical direction.

Bilateral Blur

Blurring the image by bilateral algorithm. Keeps the image sharp at the edges.

Params:

size_[x, y] [1 - *] - The strength of the blur application for horizontal and vertical direction.

Contour

Find the contours of the image.

Detail

Image detailing.

Edge Enhance

Clarity of the image boundaries.

Edge Enhance More

Improved clarity of image boundaries.

Emboss

Embossed image.

Find Edges

Identifies the boundaries of the image.

Sharpen

Sharpness improvement.

Rank

Rank filter sorts all pixels in a window of a given size.

Params:

size [0 - *] - The size of the core in PX.
rank [0 - *] - Which pixel value to choose.

Min

Selects the smallest pixel value in the window at the specified size.

Params:

size [0 - *] - The size of the core in PX.

Max

Selects the largest pixel value in the window at the specified size.

Params:

size [0 - *] - The size of the core in PX.

Mode

Selects the most common pixel value in a field of the specified size.

Params:

size [0 - *] - The size of the core in PX.

Image Transform

Transform your images.

Nodes:

Resize

Change size of images.

Params:

Absolute

[width, height] [1 - *] - New size of images.

Relative

scale_[width, height] [0.0 - 1.0] - New size of images.

Crop

Returns area from images.

Params:

Absolute

start_[x, y] [1 - *] - Start of rectangle point.
end_[x, y] [1 - *] - End of rectangle point.

Relative

start_[x, y] [0.0 - 1.0] - Start of rectangle point.
end_[x, y] [0.0 - 1.0] - End of rectangle point.

Crop Corners

Round corners of your images.

Params:

radius [0 -360] - Radius of the corners.
[top_left, top_right, bottom_right, bottom_left]_corner [boolean] - The ability to choose for which angle to apply the radius.
SSAO [1 - 16] - Super Sampling Anti-Aliasing. The figure is drawn initially at a higher resolution, and then compressed to the specified resolution.

Padding

Expand your images.

Rotate

Rotate your images.

Params:

angle [0 -360] - Angle in degrees. Angles are measured from 3 o’clock, increasing clockwise.
expand [boolean] - If "true" when rotating, change the size of the image to fit into it.
SSAO [1 - 16] - Super Sampling Anti-Aliasing. The figure is drawn initially at a higher resolution, and then compressed to the specified resolution.

Transpose

Transpose your images.

Clamp

Clamps help to control the "web" of nodes and improve readability.

Nodes:

ClipClamp
ClipVisionClamp
ClipVisionOutputClamp
ConditioningClamp
ControlNetClamp
GligenClamp
ImageClamp
LatentClamp
MaskClamp
ModelClamp
StyleModelClamp
UpscaleModelClamp
VaeClamp

Image Batch

Allows you to manage batch of images.

Nodes:

Get

Get image from images batch.

Params:

index [1 - *] - Number of image.

Remove

Remove image from images batch.

Params:

index [1 - *] - Number of image.

Fork

Split images from batch.

Params:

priority [first, second] - If there are an odd number of images, choose which stream to send the image from the center to.

Join

Combine images together into batch.

Installation:

To install Allor, you need to have ComfyUI installed on your system. If you don't have it yet, you can download it from here. Then, follow these steps:

Open a terminal (Linux) or command prompt (Windows) in ComfyUI folder.
cd custom_nodes: Navigate to the custom_nodes folder inside the ComfyUI folder.
git clone https://github.com/Nourepide/ComfyUI-Allor.git comfyui_allor: Clone the Allor repository from GitHub. This will create a new folder called comfyui_allor inside the custom_nodes folder.
cd comfyui_allor: Enter the comfyui_allor folder.
pip install -r requirements.txt: Install the required dependencies. This may take some time depending on your internet speed and system configuration.
Optionally, you can create a fonts folder inside the comfy_extras folder to store your custom fonts. If you don't do this, ComfyUI will create it automatically when you run it.

Updating:

To update Allor, you need to make sure that you have saved your work and closed ComfyUI. Then, follow these steps:

Open a terminal (Linux) or command prompt (Windows) in ComfyUI folder.
cd custom_nodes: Navigate to the comfyui_allor folder inside the custom_nodes folder. If you renamed the comfyui_allor folder, use the new name instead.
git checkout main && git pull: Fetch the latest version of Allor from GitHub. This may take some time depending on your internet speed and system configuration.

Configuration:

You can customize Allor with the config.json file.

fonts_folder_path: This is an array that specifies the relative path to the folder with fonts. The default value is ["comfy_extras", "fonts"]. For Unix systems, it is converted to ComfyUI/comfy_extras/fonts, and for Windows systems, it is converted to ComfyUI\comfy_extras\fonts.
modules: This is an object that allows you to enable or disable different modules of Allor. If you disable a module, its nodes will not be loaded when you start ComfyUI.
override: This is an object that lets you override some of the original nodes with similar functionality from Allor. If you set the value of a nested property to true, the corresponding original node will be disabled. The properties are:
- postprocessing: This disables the image/postprocessing nodes. (See the ImageFilter module for more details)
- transform: This disables the ImageScale and ImageInvert nodes. (See the ImageTransform module for more details)
- debug: This disables the __for__testing nodes.

Contributing:

ComfyUI Allor is an open source project and I welcome any contributions from the community. If you want to help me improve this plugin, here are some ways you can do it:

Suggest ideas: If you have any ideas or suggestions on how to make this plugin better or more useful, please feel free to open an issue on GitHub. I appreciate any feedback and input.
Report bugs: If you encounter any bugs or errors while using this plugin, please report them on GitHub. Please provide as much information as possible, such as the steps to reproduce the bug, the expected and actual results, the error messages and screenshots if possible. I will try to fix them as soon as possible.
Make pull requests: If you want to contribute to the code of this plugin, you can fork this repository and make your changes. Then you can submit a pull request with your modifications and explain what you did and why. I will review your code and merge it if it is suitable and compatible with the plugin.
Share your results: If you use this plugin to create amazing images, please share them with me and the community. You can post them on any other platform you like. You can also tag me (@Nourepide) on Reddit or use the hashtag #ComfyUIAllor. I would love to see what you create with this plugin and showcase some of your works on the README.MD file.

Google Colab:

If you have a subscription to Colab Pro, then you can run Allor in Google Colab.

Jupiter Notebook:

To run this on another cloud service, you can use this Jupiter Notebook.

Examples:

Ready to create your own masterpiece?

Just see how easy it is to do:

Warning Google Collab can't reproduce those examples.

Image	Nodes
	JSON
	JSON

README.MD Unescape Escape

About Allor:

Modules:

Alpha chanel

Add

Add By Mask

As Mask

Restore

Remove

Image Container

All

Default

Inheritance Add

Inheritance Scale

Inheritance Max

Inheritance Sum

PS:

Image Composite

All

Absolute

AbsoluteByContainer

Relative

RelativeByContainer

Image Segmentation

All

Default

Custom

Custom Advanced

PS:

ImageText

Default

Outlined

Multiline

Multiline Outlined

ImageDraw

All

Arc

Chord

Ellipse

Line

Pieslice

Rectangle

Rectangle Rounded

Polygon

Image Effects

Adjustment

Grayscale

Sepia

Negative

Lens Zoom Burst

Lens Chromatic Aberration

Lens Bokeh

Lens Optic Axis

Lens Vignette

Image Filter

Smooth

Smooth More

Blur

Box Blur

Gaussian Blur

All

Advanced

Stack Blur

Median Blur

Bilateral Blur

Contour

Detail

Edge Enhance

Edge Enhance More

Emboss

Find Edges

Sharpen

Rank

Min

Max

Mode

Image Transform

Resize

Absolute

Relative

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