Many people ask what Fenestra is capable of. Each model we support has its own strengths. Recently, I added Flux Kontext Dev under Conversational Edit.

It’s very similar to Flux Kontext Pro, with extra styles and lighter GPU use — making it great for quick iterations. For these experiments, I’ve been pushing ideas beyond architecture and into landscape design, since a lot of architects and landscape architects have been asking about this.

Start From Any Base Image

It’s easy to start from any base:

• A render
• A site photo
• Even just a sketch (tip: if you’re working from a sketch, our Sketch to Render workflow from last week helps create a strong base first).

From there, you can reimagine outdoor settings with simple natural language prompts.

Some examples I’ve been testing:

• “Add a geometric landscape design with pink flowers”
• “Turn this lawn into a Japanese-inspired garden”
• “Carve organic paths leading to the entrance with rugged terrain”
• “Add a pond and bridge leading to the architecture, fluid landscape architecture”

I’m not a landscape architect, so I’d love your feedback - but what stands out to me is how iterative this process is.

Explore Multiple Directions

You can explore multiple directions in minutes. Sometimes the model shifts the camera; occasionally it’s frustrating, other times it produces surprising new perspectives. That’s part of the creative play of working with AI.

Richer Client Conversations

This makes early design conversations much richer. Instead of trying to describe a vision, you can show it instantly or better yet try something in real-time - compare options side by side, refine details, and see what resonates.

👉 I’m curious: how do you see AI shaping the early ideation of landscapes in your projects?

Try it out yourself in Conversational Edit in Edit mode. You can read all of our blog posts here. New tutorials, guides, thoughts and updates each week.

AI Design for Landscape Architecture

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