ABrush vs Livespace.ai: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of ABrush and Livespace.ai — 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
Livespace.ai
Livespace.ai
AI-powered interior design marketplace that lets users try designs in their rooms and lets designers earn when their designs are tried.
Key features
- Real-time Room Try-ons: Users snap a photo of their room and apply uploaded designs live to preview styling and layout changes without consultations.
- Designer Mini-Model Wrapping: Each designer’s signature look is encapsulated into a mini AI model so their style can be consistently applied across user spaces.
- Image-to-Image Generative Rendering: Uses generative and image-to-image techniques to render realistic transformations of a user’s room with selected designs and decor.
- Shoppable Tagging: Designers can tag furniture and decor items in their uploads so users can discover and purchase products directly from visualizations.
- Global Portfolio & Discovery: Uploaded projects become discoverable portfolios that users worldwide can browse, follow, book, and engage with.
- Passive Monetization per Try: Designers earn revenue when users try their designs, turning static portfolios into income streams.
- Mobile App Support: Mobile-first experience (apps available on app stores) for on-the-go room capture, browsing, and live visualizations.
- AI-powered real-time room preview for designs
- Upload and showcase design projects to a global portfolio
- Users can try designs in their actual space without consultations
- Monetization for designers — earn when users try their designs
- Discovery, follow, booking and purchasing workflow
- Mobile app availability (Android listed)
- Image-to-image generative rendering to apply designs onto user photos of rooms
- Per-designer mini-models that encapsulate a designer's signature style
- Real-time live preview of designs on user-submitted room photos
- Designer portfolio and discovery features (follow, discover, global exposure)
- Monetization: designers earn whenever users try their designs
- Booking and purchasing flows for designer services or designs
- Mobile application availability (Android via Google Play)
Best for
- Homeowner Visualization: A homeowner snaps a photo of their living room and instantly previews multiple designer styles and purchasable decor before buying.
- Designer Monetization: Interior designers upload past projects to create discoverable portfolios that generate passive income each time a user tries their designs.
- Remote Client Presentations: Architects and designers present style options to remote clients by applying designs directly to photos of the client’s space for immediate feedback.
- E‑commerce Conversion: Retailers and brands tag shoppable items in designer scenes to drive product discovery and purchases tied to visual lookbooks.
- Portfolio Marketing: Designers build a global presence by turning completed projects into searchable portfolios that attract followers, bookings, and sales.
- Lead Generation and Bookings: Designers capture interested users who try styles and convert them into consultations, bookings, or direct purchases.
- Homeowners preview furniture or decor in their rooms before buying
- Designers build a discoverable portfolio and earn passive income
- Retailers offer virtual try-ons of products to increase conversions
- Remote consultations and client presentations with realistic previews
- Homeowners previewing new interior designs, wallpapers, paint or decor in their actual rooms before buying
- Interior designers publishing past projects as discoverable, monetizable assets
- Retailers or product vendors showcasing furniture and décor in customers' real spaces
- Real estate agents virtually staging properties for listings
- Design discovery and inspiration where users follow trending designers and styles