Most people who use AI to generate game art are making the same mistake — and it has nothing to do with their prompts.
They treat each generation as a standalone request. Type a description, get an image, move on. For a single asset that works fine. But try to build a complete game world that way and you end up with characters that do not look like they belong to the same project, backgrounds that clash with your hero, and props that feel pulled from three different art directions. The prompt was not the problem. The process was.
Makko's Collections system is built around a different model. Instead of treating each generation as isolated, Collections gives the AI persistent creative context — a memory of everything you have already built for your game that informs every new asset you generate. The result is a game world that looks cohesive, because the AI already knows what your game looks like before it generates anything new. This walkthrough covers the full Collections workflow — the philosophy behind it, how to set it up, and how to generate consistent AI game art from concept art through character.
Why AI Game Art Loses Consistency — and What Collections Actually Solves
Most general AI image tools carry context within a single conversation. Your second generation will often feel visually related to your first, because the model has access to what you asked for moments ago. For casual image generation, that is usually enough.
For game development, it falls apart quickly. That conversation context expires the moment you start a new session. Come back the next day, open a new chat, and the AI has no idea what your game looks like. You are starting from scratch every time.
Even within a single session, general-purpose tools were never designed for the specific outputs a game asset pipeline requires. They do not know the difference between concept art and a game-ready character sprite. They cannot maintain visual consistency across a character, a background, and a prop in the way a real art pipeline needs.
Collections solves this not by being the first AI tool with memory, but by being the first where that memory was purpose-built for game development. A Collection is a persistent creative context for the AI. It does not expire. It lives outside any single session. When you generate an asset inside a Collection, the AI reads your prompt in the context of everything already built and saved there.
The practical difference: close Makko, come back in a week, and the AI still knows what your game looks like.
This is the shift the whole workflow depends on: context first, generation second.
How to Create a Collection
From anywhere inside Makko, navigate to Art Studio using the top navigation bar. Click Create Collection. Name it after your game. Set the Collection Type — Concept or Character — before generating anything, because it shapes every output that follows.
Once created, three tabs organize everything as the project grows: Concept Art at the top, where the AI learns what your game looks like; Game Assets in the middle, where everything generated inside this Collection lives; and Sub-Collections at the bottom, where assets are organized by type.
Building Concept Art — The Quality Lever Before You Generate Anything
The Concept Art section is where you build the AI's understanding of your game's visual world. Think of it as a mood board that the AI actually reads.
There are three ways to fill it. Generate creates new AI images from text prompts directly inside Art Studio. Upload imports reference images from your local computer — sketches, photos, existing art, anything that communicates the visual direction you are going for. Asset Library lets you pull from assets already in the Makko platform.
The images saved here become the reference for every generation inside this Collection. The more specific and relevant they are, the more consistent every future generation will be.
The Iterate Workflow — Creative Direction, Not a Vending Machine
The most common frustration with AI game art generation is that the first result is never exactly right. Iterate is built for that exact moment.
Hover over any generated image and two options appear: Save and Iterate. Click Iterate and describe only what needs to change about this specific image. The AI applies that change and leaves everything else alone. An arrow control lets you compare the original and the new version side by side.
This loop — generate, evaluate, iterate if needed, save when right — is what makes Makko a creative collaborator rather than a generation machine. The developer gives direction. The AI executes. The developer refines. Once the image is right, save it to the Collection. It becomes a reference that every future generation inside this Collection can draw from.
Building Consistency Across Multiple Generations
With one concept image saved, the Collection proves its value. When generating a second character, selecting the first saved image as a reference tells the AI: this new image needs to feel like it belongs to the same world. Same visual language. Same game.
The difference is not prompt quality. The same description with no reference images produces visually unrelated results. The difference is context — and context is what the Collection builds with every saved image.
Sub-Collections and the Character Generation Workflow
Sub-collections are organized groups within the main Collection — Characters, Backgrounds, Props, UI Elements, Enemies, whatever the game needs. Each sub-collection inherits the concept art from the parent Collection automatically. The context built above flows down without having to rebuild it from scratch for every asset type.
Inside a Characters sub-collection, the parent Collection's concept art is already available as reference. Select the reference images, write the character description, and generate. The preset automatically switches to Character Sprite, because Makko recognizes this is a character generation inside a character sub-collection.
The result: a game-ready character sprite sheet. Transparent background. No scene. Just the character, in the right format, in the right style, visually consistent with everything built to get here.
The Reference Sheet — Completing the Character
When a character is saved, Makko immediately prompts a Reference Sheet generation — three views of the same character: front, side, and back. For any character that will be animated, the Reference Sheet is what the AI uses to understand what the character looks like from every angle. It is not optional for characters going into sprite animation.
The Complete Collections Workflow — Quick Reference
- Create the Collection — name it after the game.
- Add Concept Art — generate style anchors or upload reference images.
- Iterate each concept image until it is right. Save each one to the Collection.
- Create a Sub-Collection — Characters, Backgrounds, Props, or whatever the game needs.
- Set generation controls — select AI Reference Images from saved concept art.
- Write the prompt — subject, mood, and key visual details.
- Generate and evaluate the result.
- Iterate if needed. Save when right.
- Generate the Reference Sheet for any character that will be animated.
- Repeat across asset types. The Collection accumulates context with every saved image.
What Collections Is Not
Collections is not a folder system that also generates art. The organizational layer is real and useful — but the most important thing it is: a persistent creative context that the AI reads every time it generates something new.
Collections is also not a substitute for creative direction. The tool amplifies what you describe. It does not replace the ability to articulate your vision.
And Collections are not the same as manifests. Collections are where assets live inside Art Studio. Manifests are what get sent to Code Studio for use in a game.
Who This Workflow Is For
Collections is built for creators who have a clear game vision but have previously been blocked by the gap between what they can imagine and what they can produce. No drawing skills required. No art background required.
If you have been generating AI game art and wondering why nothing ever looks like it belongs together, the answer is almost always the same: you are generating without context. Build the context first. Generate from inside it. The consistency follows.
Originally published on the Makko AI blog. Makko is an AI 2D game studio — create characters, backgrounds, animations, and playable games by describing what you want.
Top comments (0)