Image Edit Nodes

Image editing nodes often provide strong levels of control and rapid iteration before moving into 3D

Atlas provides powerful image-editing nodes that can accept text + at least one image input:

• Text + Image → Image Node

• Text + Image List → Image Nodes

• Edit Image with Text Node

These nodes share the same core idea:

• You provide an image (or multiple images) and a text instruction, and the node generates a modified image using the chosen backend.

They differ in how much freedom the model has:

• Text+ Image → Image and Text + Image List → Image nodes allow fully generative edits

• Edit Image with Text node keeps the original image untouched except for the specified modification.

Nodes Overview

Text + Image → Image

A flexible, image-conditioned generation engine.

• Requires text + image(s)

• Merges all input images with the instruction

• Allows scene transformations, object replacement, isolation

• Produces new images guided by the provided visuals

• Different backends = different image generation models

Text + Image List → Image

A versatile, multi-reference image generation engine.

• Requires a text prompt + an array of up to 4 images

• Synthesizes multiple visual inputs based on complex text instructions

• Supports object isolation, composition of multiple scenes, and perspective shifts

• Produces a single output image by referencing specific inputs (e.g., image_0, image_1)

• Different backends (Gemini, Reve, Flux, etc.) offer varying levels of aesthetic quality and logic handling.

Edit Image with Text

A constrained version that preserves the original image.

• Requires text + one image

• Performs targeted edits only

• Maintains composition, style, perspective, lighting

• Perfect for additive changes (e.g., “add vines”, “add lanterns”, “make it snowy”)

• Can change aspect ratio to expand the scene

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Inputs

Edit Image with Text node and Text + Image → Image node share the same input structure:

Required:

• Text prompt

• At least one image

Optional:

• Multiple images (Text + Image List → Image only)

These inputs can be manually uploaded or generated via other nodes.

Backends (the AI model powering the node)

You may choose from multiple backend generative models. Each backend interprets images differently:

• Some are more realistic

• Some preserve structure better

• Some are more stylized

• Some adhere more strictly to prompts

Switching backend changes the artistic and structural behavior.

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Seed Control

Changing the seed gives new variations while keeping:

• the same structure

• the same instruction

• the same conditioning images

Keeping the seed = reproducible outputs.

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Example Use Cases: Text + Image → Image

Style Transformation of a Scene

Turn a normal bookshelf into a fantasy enchanted bookshelf.

Variation with Seed Change

Same prompt + same image + same backends + different seeds = different variations.

Restyling While Preserving Layout

Transform the bookshelf into an old, damaged one while keeping the structure.

Isolate an Object with Neutral Background

Perfect for Image → 3D workflows.

Multi-Image Conditioning for Object Replacement

Replace specific items on a shelf using three reference object images.

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Example Use Cases: Edit Image with Text Node

The Edit Image with Text node keeps the original image intact, modifying only what you request.

Adding Details to a Generated Asset

Example: adding decorative elements or small props without changing the underlying concept.

Removing Objects

Changing the Design Style

You can restyle the asset into a new design language (e.g., Scandinavian / futuristic / gothic) while keeping the same layout and camera.

Changing the seed gives controlled alternatives of the same style.

Changing Image Aspect Ratio

Capabilities Summary

Text + Image → Image Node & Text + Image List → Image Node

• generative transformations

• scene edits

• object replacement

• object isolation

• image mixing

• multi-image conditioning

Edit Image with Text Node

• preserves the original image

• applies minimal, targeted changes

• ideal for controlled additions

• supports aspect-ratio changes

• keeps lighting/composition intact

Summary

Both nodes require text + image input and work with backend models, but their behavior differs:

Text + Image → Image Node & Text + Image List → Image Node

• Broad, creative, generative

• Perfect for image transformation, restyling, object edits, isolation

Edit Image with Text Node

• Controlled, minimal, additive

• Perfect for polishing assets, expanding images, subtle modifications