AI app for creatives · no coding needed
Pixel art production and review workbench
Reduce tool sprawl and rework while keeping a consistent pixel style.
Made for: Game studios, indie developers and creative teams producing pixel art assets

What it does for you
The problem
Pixel art assets are produced across several rented tools, so prompts, palettes, grid settings and review decisions are scattered and hard to reuse.
What it gives you
Approved pixel art assets linked to their source settings
What you give it
Text promptsreference imagesgridpalette constraintsreview notes
Build your own version of Snowpixel, Retro Diffusion and more
One app with what these 5 AI tools do, yours to keep and change: Snowpixel, Retro Diffusion, Pixelfy, Pixelicious, Fontis.ai.
Everything these tools do, in one app
- Text-to-pixel-art generation Generate pixel art images from text prompts.Found in Snowpixel, Retro Diffusion, Pixelfy
- Image-to-pixel-art conversion Convert existing images into pixel art.Found in Pixelicious
- Grid size control Adjust the pixel grid size to control resolution and detail.Found in Pixelfy, Pixelicious
- Color palette control Constrain or customize the color palette of the generated pixel art.Found in Pixelfy, Pixelicious
- Background removal Remove the background from images to isolate the subject.Found in Pixelfy, Pixelicious
- Reference image upload Upload reference images to guide the creative process.Found in Pixelfy
- Prompt builder Assist users in creating effective prompts for generation.Found in Pixelfy
- Advanced tuning Fine-tune generation parameters like sampling steps and prompt guidance.Found in Pixelfy
- Prompt expansion Expand user prompts to provide a stronger foundation for detailed outputs.Found in Retro Diffusion
- High-resolution output Produce high-quality pixel art without needing upscaling.Found in Retro Diffusion
- Aseprite integration Work directly within the Aseprite pixel art editor.Found in Retro Diffusion
- Multi-image generation Generate multiple AI-created images per prompt for creative exploration.Found in Snowpixel
- Animation Transform static images into dynamic animations.Found in Snowpixel
- 3D animation Create 3D animated scenes.Found in Snowpixel
- Video generation Generate videos from visuals.Found in Snowpixel
- Music generation Generate music.Found in Snowpixel
- Custom model training Train models with your own data for personalized results.Found in Snowpixel
- Print-on-demand Print AI creations on various physical mediums like canvases, posters, mugs, stickers, and puzzles.Found in Fontis.ai
How it works, step by step
- Generate pixel art from text prompts
- Convert existing images into pixel art
- Adjust pixel grid size for resolution and detail
- Constrain or customize the color palette
- Remove backgrounds to isolate the subject
- Upload reference images to guide generation
- Build effective prompts with guided assistance
- Fine-tune sampling steps and prompt guidance
- Expand prompts for detailed outputs
- Produce high-resolution pixel art without upscaling
- Work inside the Aseprite editor
- Generate multiple images per prompt for exploration
- Animate static images
- Create 3D animated scenes
- Generate videos from visuals
- Generate music
- Train models on your own data
- Prepare creations for print-on-demand products
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export versioned approved pixel art assets linked to their source settings with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Pixel art production and review workbench with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Pixel art production and review workbench with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links3 KB
- questions.mdQuestions to answer before you build3 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare24 KB
- prompt-vps.mdThe same build on your own server (Docker)24 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 KB
- demo/index.htmlThe working demo on sample data192 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce tool sprawl and rework while keeping a consistent pixel style. For game studios, indie developers and creative teams producing pixel art assets, convert text prompts, reference images, grid and palette constraints and review notes into approved pixel art assets linked to their source settings. The benefit is a testable hypothesis, measured through accepted assets per production hour and corrections after art approval; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect text prompts, reference images, grid and palette constraints and review notes, then follow this sequence: 1. Generate pixel art from text prompts. 2. Convert existing images into pixel art. 3. Adjust pixel grid size for resolution and detail. 4. Constrain or customize the color palette. 5. Remove backgrounds to isolate the subject. Resolve uncertain cases with qualified reviewers, approve approved pixel art assets linked to their source settings, and measure accepted assets per production hour and corrections after art approval against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed grid and palette set per project; final style and asset checks remain editorial. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve artist style, source attribution, asset accuracy and usage permissions. Art leads approve substantive changes and publication scope. One fixed grid and palette set per project; final style and asset checks remain editorial. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One fixed grid and palette set per project; final style and asset checks remain editorial. Implement one approved input format, a bounded representative case set and the first two task modules: generate pixel art from text prompts; convert existing images into pixel art. Support the remaining modules with operator review: adjust pixel grid size, constrain or customize the color palette, remove backgrounds, upload reference images, build prompts, fine-tune parameters, expand prompts, produce high-resolution output, work inside Aseprite, generate multiple images, animate, create 3D scenes, generate videos, generate music, train custom models and prepare print-on-demand products. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Studio-owned asset libraries, authorized reference images and permitted research sources. Cloud asset storage, Aseprite import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Prompt and reference setup, Editable asset preview, Client proof and delivery. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for references, constraints and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant asset. Make the task-specific outcome approved pixel art assets linked to their source settings visible beside its evidence, review state and value baseline.





