ABrush vs Layrr: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of ABrush and Layrr — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
ABrush
ABrush
AI image generation and editing studio that runs as a panel inside Adobe Photoshop, with 23+ models, ControlNet, LoRA styles and layer-native output.
Key features
- Photoshop-native panel: Generation, editing and upscaling happen on the open document and land on real layers, with no export-import round trip
- 23+ models in one panel: Switch between Stable Diffusion, Flux, Qwen Image and others per stage of a piece rather than committing to one provider
- Targeted editing: Inpaint or regenerate only the region that needs changing, keeping the rest of the composition untouched
- Pro conditioning controls: ControlNet support plus IP-Adapter and reference images for pose, composition and style control
- Custom LoRA styles: Load your own LoRA or style models to keep generations consistent with an established look
- Generation history: Every generation is saved and recoverable, so artists can return to an earlier variation without regenerating
- Shareable presets: Save prompts and settings as presets and share them across a team to reproduce a house style
- Commercial-safe data policy: Generated images belong to the user and customer images are not used for model training
Best for
- A concept artist generating multiple variations of a character directly in the working file and painting over the strongest one
- A retoucher fixing a single element of a composite with inpainting rather than regenerating the whole image
- A studio distributing a shared preset pack so several artists produce work in a consistent house style
- A freelance illustrator using a custom LoRA to keep generated assets on-style with a client's brand
- A designer upscaling and cleaning up a low-resolution asset without leaving Photoshop
- An agency handling commercial client work that needs assurance the images aren't used for model training
Layrr
Layrr
A browser-based visual editor for real code that lets you design UIs visually, edit any stack, and retain full code ownership.
Key features
- Visual Editing: Select, drag, resize and visually manipulate UI elements with a live preview that reflects changes in real code.
- Real-Code Output: Edits map directly to the underlying codebase so changes are exportable and owned by developers rather than locked into a proprietary format.
- Cross-Stack Support: Designed to work across different frontend stacks and sites, enabling visual edits on a variety of frameworks and deployments.
- AI-Assisted Coding Integration: Integrates with coding-agent tooling (community references indicate support for Claude Code workflows) to generate, refactor, or suggest code while preserving visual context.
- Live Browser Interface: Operates in the browser as a WYSIWYG-like editor for websites and web apps, enabling immediate visual validation of changes.
- Developer Handoff: Produces editable source artifacts that can be committed back to repositories, facilitating collaboration between designers and engineers.
- Element-Level Editing: Fine-grained control of individual UI elements (style, layout, attributes) with direct code visibility and adjustment.
- Visual Edit Mode: select, drag, resize UI elements on a page with live preview
- AI-powered code generation to produce or modify real source code from visual edits
- Works on arbitrary websites and stacks (claims to be stack-agnostic)
- Browser-based coding agent interface (web app or extension-style UX)
- Exports real code that can be owned and integrated into projects
- Element-level editing similar to Elementor or Framer
- References to integration with Anthropic Claude (LLM) for code assistance
Best for
- Rapid UI Prototyping: Designers build interactive prototypes directly in the browser and produce production-ready code for developers to refine.
- Visual Refactoring: Developers or coding agents visually adjust layout and styles on an existing site, with changes reflected in source files for commit.
- Live Site Tweaks: Product teams make quick interface adjustments on staging or live pages using drag-and-drop controls without hand-editing markup.
- AI-Augmented Code Changes: Combine visual edits with coding agents (e.g., Claude Code integrations) to automatically generate or refactor the underlying implementation.
- Cross-Stack Collaboration: Teams working across different frontend frameworks collaborate in a single visual environment that maps to each project's real codebase.
- Rapidly prototype and visually design UI on existing websites
- Edit and refine UI components directly in the browser with immediate code output
- Generate or refactor front-end code using LLM-assisted suggestions
- Onboard designers/developers to make visual changes that produce production code
- Use as a coding agent interface for AI-assisted web development workflows