Most AI image tools make you choose: generate from a prompt, or edit an existing image. EXXY AI Image Editor — part of EXXY AI Studio by Unimelabs — does both in the same workspace. It combines multi-model AI image generation with precision editing tools including masking, inpainting, and style transfer, letting creators move fluidly between generating new imagery and refining what already exists.
AI image generation versus AI image editing
AI image generation and AI image editing are different disciplines that most tools treat as separate products. Generation starts from a text prompt or a reference and produces a new image. Editing starts from an existing image and transforms specific parts of it while preserving the rest.
EXXY AI Image Editor brings both into a single panel. A user can generate a base image from a prompt, mask a specific region, inpaint a replacement for just that region, apply a style transfer to unify the visual tone, and export the final result — all without leaving the workspace or switching tools.
This matters most for professional use cases where the starting point is rarely a blank canvas. Architects working with existing renders need to iterate on design options — changing a material, adjusting a facade element, testing a different landscape treatment — without regenerating the entire scene. Marketers working with product photography need to swap backgrounds, remove elements, or adapt imagery for different contexts. EXXY AI Image Editor supports these workflows directly.
Masking and inpainting
Masking is the process of selecting specific areas of an image that you want to modify, leaving the rest unchanged. In EXXY AI Image Editor, users draw a mask over the part of the image they want to change — a wall surface, a window element, a background zone, a sky region — and then describe what they want in that area.
The inpainting engine fills the masked region with new AI-generated content that blends seamlessly with the unmasked areas. The result is a modified image where only the specified region has changed, without visible seams or inconsistencies at the boundary.
Common inpainting use cases in professional contexts:
- Material substitution — replace a concrete wall surface with timber cladding or brick to test design alternatives.
- Context adjustment — swap a daytime sky for a dramatic sunset to create a more compelling rendering.
- Element removal — remove construction equipment, temporary structures, or unwanted objects from site photographs.
- Damage repair — restore deteriorated areas in archival photographs or heritage documentation images.
The masking tools in EXXY AI Image Editor include freehand brush selection, geometric selection tools, and AI-assisted edge detection that recognises object boundaries automatically — making it easy to create clean masks even around complex shapes.
Style transfer
Style transfer applies the visual language of one image to the content of another. In EXXY AI Image Editor, users provide a style reference — a painting, a photograph, a design reference — and the system adapts the current image to match the tonal, textural, and color characteristics of that reference.
For architecture and design teams, style transfer is useful for creating visual consistency across a presentation series. A set of renders produced at different times or with different tools can be unified to a consistent visual style before client presentation. A set of concept images can be transformed to match a specific architectural photography aesthetic.
Style transfer in EXXY AI Image Editor operates at adjustable strength, allowing users to dial between subtle tonal adjustments and strong stylistic transformation, depending on how much they want the reference style to dominate.
Multi-model support
EXXY AI Image Editor supports multiple underlying AI models, giving users access to different generation and editing capabilities depending on their need:
- Stability AI — strong performance for photorealistic imagery, architectural visualization, and detailed scene rendering.
- FLUX — excellent prompt adherence and high image fidelity, well-suited for precise technical imagery.
- Qwen — multilingual prompt handling and effective for diverse and culturally varied visual contexts.
- GPT Image — tight integration with the rest of EXXY AI Studio, drawing on project context for contextually aware image generation.
Users can switch between models for different tasks within the same project, or run the same prompt across multiple models to compare outputs before selecting the best result.
How it integrates with Creative Studio
EXXY AI Image Editor is the precision editing layer within the broader Creative Studio panel. Images generated in the main AI chat or elsewhere in EXXY AI Studio can be sent to the Image Editor for further refinement. Edited images return to the project asset library, where they're available for embedding in Slides presentations, Designer Studio layouts, or project documentation.
This integration means the Image Editor is not a standalone tool — it is one part of a connected visual production pipeline. A team can generate a base rendering using a text prompt in AI chat, send it to the Image Editor to adjust specific design elements, then embed the final result in a client presentation — all within EXXY AI Studio.
Who uses EXXY AI Image Editor?
Architects and designers use it to iterate on design visualizations — testing material choices, adjusting design elements, and generating presentation-quality imagery from rough renders.
Engineering and construction firms use it to prepare site documentation, produce project marketing imagery, and create client-ready visual communication materials.
Marketing teams use it to adapt existing photography, create consistent visual brand assets, and produce campaign imagery efficiently.
Content creators and communicators use it for any project requiring precision image editing combined with generative AI capabilities.
Frequently Asked Questions
What is EXXY AI Image Editor?
EXXY AI Image Editor is the precision image editing and generation panel inside EXXY AI Studio by Unimelabs. It combines multi-model AI image generation with masking, inpainting, and style transfer tools in a single workspace, letting professionals generate new imagery and refine existing images without switching tools.
Which AI models does the Image Editor use?
EXXY AI Image Editor supports Stability AI, FLUX, Qwen, and GPT Image for generation and editing. Each model has different strengths — users can select the model that best suits their specific task or compare outputs across models.
What is the difference between inpainting and style transfer?
Inpainting modifies a specific masked region of an image, replacing only that area with new AI-generated content that blends with the surrounding image. Style transfer applies the visual characteristics (tone, texture, color palette) of a reference image to the entire current image without changing its content. Both tools are available in EXXY AI Image Editor.
How does the Image Editor connect to Creative Studio?
EXXY AI Image Editor is the precision editing component within Creative Studio. Images from anywhere in EXXY AI Studio — generated in AI chat, imported from outside, or created in Creative Studio — can be opened in the Image Editor for refinement. Edited images return to the shared project asset library for use across all EXXY AI Studio panels.
Try EXXY AI Image Editor as part of EXXY AI Studio at unimelabs.com.
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