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Documentation Index

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The agent can produce on-brand work with just a written anchor, but generations get sharper the moment you give it actual brand assets to reference. This page covers what’s worth bringing in and how to wire each one up.

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Logos

The single most common cause of off-brand outputs is the model trying to recreate a logo from scratch. Don’t make it guess.
1

Drag your logo file onto the canvas

PNG or SVG both work. Transparent backgrounds preferred. The file appears as an image node on the canvas.
2

Connect it to the image generations that need it

Drag an edge from the logo node into your output image node, or use @logo (or whatever you’ve named it) inside a prompt.
3

Tell the agent to use it

In the prompt: “Place the @logo in the bottom-right corner. Do not redraw it — use the reference exactly.”
Native AI/EPS file support isn’t there yet — only SVG and PNG for vectors. If you need an editable working file, export to SVG from your vector tool first. We’re tracking the request and may add AI/EPS support in a future release.

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Fonts

Two paths depending on how strict you need to be: Path A: Brand guidelines paste-in. If you have a one-pager showing your fonts in use (H1 / H2 / body / display, all visible), paste an image of it onto the canvas and connect it to your image nodes. GPT Image 2 is good at recognizing fonts in a reference image and replicating them in output. Not pixel-perfect, but usually close enough to read as on-brand. Path B: Studio node for exact typography. When the type has to be exact (legal copy, headline that uses your custom font), generate the background without text, then use a Studio node to overlay the text layer. The Studio node is a layered editing surface where you can add layers, drop in text, and position elements precisely. You can upload a custom font file (.otf or .ttf) and use it directly in the layer panel. The Studio node also handles other “last mile” edits: positioning a logo precisely, adding a CTA button, dropping in a price tag. Most marketers end up using it for the final polish step without leaving the canvas.

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Pack shots and product photos

If your product has a specific shape, color, or detail that the model keeps getting wrong, a pack shot is the fastest fix.
  • Drop one or more clean product photos onto the canvas.
  • Connect them to your image nodes as image-to-image references.
  • In the prompt: “Use this exact product. Don’t restyle, recolor, or modify it — only change the surrounding scene.”
If you have multiple angles, unified groups save you a step:
1

Select all the product photos

Click and drag a selection box, or shift-click each one.
2

Group them as a unified group

Cmd+G for a normal group, or right-click → “Unified group”. A unified group exposes a single output port — so you drag one edge instead of one per image.
3

Connect the group to your image node

The agent now sees all the angles as a single reference, which is closer to how a human designer would use a product reference sheet.
Up to 10 reference images per image-to-image generation. Beyond that, drop the weaker references — more isn’t always better, and noisy references can pull the output off course.

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Mood boards and style references

Got a Pinterest board, a competitor ad, or an existing campaign whose look you want to mirror? Use the Image Style Analysis template.
1

Drag your mood images onto the canvas

Two to ten images that share the look you want.
2

Group them as a unified group

Same as above — one output port for the whole set.
3

Add the Image Style Analysis template

From the templates menu, pick “Image style analysis”. It drops onto the canvas as a pre-configured text node. Connect the unified group to it.
4

Run the text node

The template analyzes the images and outputs a detailed style description — palette, lighting, composition, mood, shot type.
5

Use that output as context

Connect the style analysis node to your image generation nodes via an edge. The detailed style description gets appended to every prompt automatically.
Easy to miss: after you connect images into the Image Style Analysis template, you have to run the text node before its output is usable. If you connect a downstream image node before running the analysis, the analysis text will be empty and the image node won’t have any style guidance. Click into the text node and hit run.

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Product detail pages (PDPs)

You don’t have to download every product photo manually. Paste a PDP URL into the agent chat and the agent will scrape the page — pulling product dimensions, materials, colors, copy, and reference imagery — into a text node you can reuse. Example brief: 
Pull the PDP details from [URL] and focus on the materials, dimensions,
and color options. Save the result as a text node I can reference
in image generations.
This is especially useful for product fidelity — if the model keeps getting your product’s size or shape wrong, feeding it the PDP-scraped dimensions usually fixes it. See Product photography & swaps.

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What to leave off the canvas

Not everything needs to be a reference. Some asset types are noise more than signal:
  • Past ads that don’t represent the new direction. If you’re refreshing the look, old assets will pull the agent back toward the look you’re trying to leave.
  • Generic stock imagery. Unless it specifically matches your brand, it dilutes the reference.
  • Low-resolution or compressed JPGs. The model struggles to extract style from heavily compressed images. Use the highest-quality source you have.
If in doubt, generate with fewer references first. You can always add more later.

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Image editing tools on the canvas

Once you have a generated image, you don’t always need to start over to make a change. A few tools live directly on each image node:
  • Edit Image — open the image in a quick editing surface for small tweaks.
  • Inpaint — draw a mask over an area, then describe what should fill it. Useful for removing or replacing a specific element without re-running the whole generation.
  • Remove Background — exactly what it sounds like. Outputs a transparent PNG.
  • Upscale — increase resolution after generation if you started at 1K and want to ship at 2K or 4K.
  • Studio node — for layered editing with text overlays, see the Fonts section above.
Inpaint is improving but isn’t always the right tool. For things like “remove the text from this image,” an image-to-image regeneration with a prompt like “recreate this exactly, but remove all text apart from the @logo” often produces cleaner results than masking. Try the image-to-image route first; reach for Inpaint when you need to keep most of the image untouched but change one specific region.
Last modified on May 18, 2026