2D Post Processing Nodes

This category of nodes relates to less general image edits via generative models and more specialized operations

Post Process Nodes are used to refine, enhance, or extend generated images after the primary rendering step.

These tools help achieve better framing, higher resolution, clean cutouts, and extended compositions.

Camera Control

The Camera Control node allows you to adjust the camera angle and framing of a generated image without re-prompting.

Adjustable Parameters

• Rotate Left/Right: (-360 to 360)

• Move Forward: (0 to 10)

• Vertical Angle: (-1 to 1)

• Wide Angle Lens: enable or disable

• Seed: generate different angle variations

This node is ideal for fine-tuning poses, correcting perspective, and improving shot composition.

Extend Image

The Extend Image node expands an image beyond its original boundaries using Outpainting AI model backends.

• Input your image

• Provide a prompt describing how the new extended areas should look

• The model naturally blends extensions into the existing scene

Use this to:

• Widen the environment

• Add missing context

• Create cinematic aspect ratios

• Extend canvases for layout or UI needs

Remove Image Background

Removes the background from an existing image and outputs two formats:

• Binary PNG (black/white mask)

• Transparent PNG (clean cutout)

Different backends produce different separation styles, so results may vary. Useful for:

• Isolating assets

• Preparing images for compositing

• Feeding a clean silhouette into other Atlas nodes

Upscale Image

The Upscale Image node enhances resolution and detail.

• Input an image

• Set the upscale factor

• Choose from multiple backends for varying sharpness and texture behavior

Use this whenever you need:

• Higher fidelity output

• Cleaner textures

• Enhanced details for close-ups

• Large format renders or presentation images

Find Images by Description

It allows you to query an image array using a text prompt and return only the images that match your description. This is especially useful when working with large sets of extracted images, such as those obtained from the Extract Document Images node.

You can specify the number of images you want to retrieve and choose the retrieval mode:

• At Most N Retrieved — returns up to the requested number of relevant images

• Exactly N Retrieved — forces the output to contain the exact number specified

This node is ideal when you need to filter a broad image collection for workflow-specific tasks. For example, you can provide an entire set of document images as input and use a prompt such as “images showing architectural elements” to retrieve only the relevant subset. The node then outputs the desired number of images that best match the prompt, allowing you to use them directly in multimodal nodes, reference-based generation, or any downstream image-processing steps within your workflow.

Convert Image to SVG

The Convert Image to SVG node converts a raster image into a vector-based SVG output.

• Input: single image (e.g., logo, icon, black-and-white mask, simple graphic)

• Output: SVG file that can be scaled, edited, and reused in 2D or 3D workflows

For best results, start from images with clear edges and high contrast (e.g., black shapes on white background or simple flat-color drawings). The resulting SVG can then be refined in external vector tools or used directly in pipelines that expect curve or path-based input.

Split Image into Layers

Decomposes a single image into multiple RGBA layers, such as separating the foreground from the background.

Split Alpha

Separates the transparency (alpha) channel from an image, providing the color data and the mask as two separate outputs.

Combine Alpha

Merges a color image with a separate grayscale image to create a single image with transparency.

Split Image Channels

Breaks an image down into four individual grayscale images representing its Red, Green, Blue, and Alpha channels.

Combine Image Channels

Takes up to four separate grayscale images and combines them into a single RGBA color image.

Treshold Binary Mask

Converts an image to grayscale and applies a threshold to create a high-contrast black-and-white binary mask.

Crop Image Manual

Allows you to crop an image by manually specifying the left, top, right, and bottom coordinates.

Crop Image Auto

Automatically crops an image based on its transparency or a provided mask, removing unnecessary empty space.

Simple Image Resize

Changes an image's dimensions to a specific width and height with options to preserve the aspect ratio.

Depth Estimation

Analyzes an image to create a depth map, where the brightness or color represents the distance of objects from the camera.

Fast Normal from Depth

A quick algorithm that generates a normal map (used for lighting and 3D effects) directly from a grayscale depth map.