Brush Edit · 0:29
How to Change One Part of a Garden Photo with AI
Brush over the area, describe what goes there, generate. Everything else stays as it is.
Step-by-Step Tutorial Series
This is the only tutorial series you need to go from a bare garden to a construction-ready design — entirely with AI, and with no landscape architecture experience required. It opens with short clips of the current Project Studio, then five full guides that cover every stage of the workflow in sequence: generating an overhead map from yard photos, applying and editing a design style, making targeted changes with plain-text instructions, viewing the finished design at any angle or time of day, and exporting a colour-coded blueprint your landscaper can work from directly. Follow them in order for the full workflow, or jump to whichever stage you're at.
New to the tool? See how the AI landscape design tool works before working through these tutorials — or jump straight in below.
New · Project Studio
Each clip shows one tool in the current Project Studio, start to finish, with the prompt it used. The longer guides further down were recorded in an earlier version of the Studio.
Brush Edit · 0:29
Brush over the area, describe what goes there, generate. Everything else stays as it is.
Brush Edit · 0:22
Skip the brush and describe it — where things go, what they are, what colour.
Edit Object · 0:18
Tap the roof and say "make it white". The same panel deletes or moves it.
Edit Object · 0:33
Tap several trees, link them, write one prompt. Also for a fence broken up by planting.
Tutorial 1 of 5 — Sketch Engine
Learn how to upload any hand-drawn plan, napkin sketch, or architectural drawing and have it automatically rendered as a photorealistic 3D landscape — no 3D modelling or design experience required.
Most AI design tools only work with photos. If you have a hand-drawn plan, an architectural drawing, or a napkin sketch of what you're imagining, you're usually stuck — you'd need to photograph the space and then try to describe your layout in text prompts. The Sketch Engine removes that problem entirely. Upload any 2D drawing as a single image, and the AI reads the spatial structure — the boundaries, paths, planted zones, and structures — then renders them into a photorealistic 3D landscape as if the design had already been built.
The engine sits inside the same Project Studio you use for photo uploads. When you upload a single image and click "build my aerial map," we detect whether it's a photograph or a drawing. If we identify a sketch, you're given the option to transform it right away. The engine then runs through a visible sequence of refinement passes — intermediate layers appear on the left, each more refined than the last, until a final polished render is produced.
The video also covers the reverse workflow: converting a real photograph back into a sketch, pencil drawing, or watercolor — useful for client presentations or planning applications where a photorealistic result might feel too final.
Tutorial 2 of 5 — Style Presets & Aerial Map
Learn how to turn 4–14 yard photos into an overhead aerial map — the ideal canvas for garden design. This tutorial covers applying styles from a library of 48+ presets, using the masking brush to protect existing features, and enabling location-based plant selection for your climate zone.
A single photo of a yard captures one angle. That's useful for visualising a finished design, but it's not the most precise canvas for designing on. The aerial map solves this by synthesising multiple photos into an overhead view — essentially a drone shot generated from your phone photos, without a drone. When you upload between four and fourteen photos, the AI analyses and stitches them together into a single overhead shot, automatically renamed by position: "far end facing house," "house end facing far end," "left boundary," and so on.
Tutorial 3 of 5 — Smart Fix
Learn how to make targeted changes to a finished design using plain-language instructions — "add a metal pergola in the corner," "remove the cars," "add a seating area with paving" — with correct scale, lighting, and plant placement applied automatically.
Smart Fix accepts instructions written as you would describe something to a person — not a technical prompt. "Add a metal pergola on this corner," "remove the cars," "add a seating area with paving by the fence" are all instructions the engine understands. You highlight the area with the selection tool, type your instruction, and request up to four variations. The engine rebuilds that specific zone while leaving the rest of the image unchanged.
Plant selection within Smart Fix is not arbitrary. The engine considers the shade conditions and sun exposure of the area — so if you're adding planting to a shaded corner, the species that appear are suited to low-light conditions. Specificity improves results: "add a metal pergola with an outdoor seating area in the left corner near the fence" produces more accurate placement than "add a pergola."
Tutorial 4 of 5 — ViewPoint & AI Enhance
Learn how to see the same finished design at night, at golden hour, in different seasons, and from any ground-level angle — using two separate tools: Quick Actions for atmospheric changes and ViewPoint for full perspective transfers.
Quick Actions under AI Enhance adjusts the lighting and atmosphere of the existing image — night mode, golden hour, or a seasonal variant. The ViewPoint engine is a full generation that reconstructs what your design would look like from any ground-level position, using your original uploaded photos as the spatial reference.
Suggest Viewpoints analyses your aerial design and recommends specific standing positions within the garden, described in enough detail to know exactly where you'd be standing: "standing at the white garden pagoda looking toward the wooden boundary fence," "standing at the circular lawn looking toward the rose garden beds."
Use Quick Actions to see how your design looks at different times of day or year. Use ViewPoint when you need to see the design from a human perspective — to check scale, prepare contractor images, or show someone what the garden will feel like standing in it.
Tutorial 5 of 5 — Blueprint & Export
Learn how to turn a finished AI garden design into a construction-ready document — a colour-coded blueprint with zone labels, plant quantities, spacing, and path dimensions, plus a PDF planting guide with care instructions and nursery links, shareable directly with your landscaper via link.
Native Plant AI Landscaper featureMost landscape design tools stop at the image. You get a photorealistic render, and then you're on your own to translate it into a contractor brief. Our export tools close that gap. The Blueprint is a colour-coded technical diagram showing exactly what goes where — plant species, quantities, spacing, zone labels, path widths in feet, and site materials — structured specifically for a landscaper or contractor to price and execute the project.
Each plant species is assigned a distinct colour appearing at every location in the design where that plant is placed. Zones are labelled — "far left hedge border," "central circular garden" — and within each zone, every element is listed with quantity, spacing, and structural dimensions. A site materials section at the end covers shared items: mulch volumes, lawn grass coverage, edging requirements. The Blueprint is shareable via link — no file download, no account needed to view it.
If you're handing the project to a professional landscaper, share the Blueprint — it contains everything needed to price and execute: zone labels, plant placement, quantities, spacing, path dimensions, and site materials. If you're sourcing and maintaining plants yourself, the Landscaping Guide is more useful — plant by plant, with quantities, mature sizes, care notes, and photo links.
Start your first AI garden design
Put these tutorials into practice on your own garden. Upload your photos, apply a style, edit with text, and export a blueprint — the full workflow takes under two minutes to start. No software to install, no design experience required.
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