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what is text-to-stereogram fr?

mikeville/text-to-stereogram — explained in plain English

Analysis updated 2026-05-18

0TypeScriptAudience · vibe coderComplexity · 3/5Setup · easy

tl;dr

A web tool that generates Magic Eye style hidden 3D images (autostereograms) from a plain text prompt, creating both the hidden subject and its pattern automatically.

vibe map

mindmap
  root((repo))
    What it does
      Text prompt to image
      Hidden 3D subject
      Auto pattern generation
      Depth estimation
    Tech stack
      Vite
      React
      TypeScript
      Netlify Functions
    Use cases
      Make novelty images
      Explore stereogram art
      Learn AI pipelines
    Audience
      Vibe coders
      Hobbyists
      Puzzle fans
    Setup
      Mocked mode no keys
      Live APIs opt in
      Anthropic and fal.ai

Code map

Detail Auto

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filefunction / class

what do people make with this?

VIBE 1

Generate a novelty Magic Eye style image from any text prompt for fun or sharing.

VIBE 2

Study how a multi step AI pipeline chains prompt rewriting, image generation, and depth estimation together.

VIBE 3

Run the project locally with mocked responses to explore the code with no API costs.

VIBE 4

Browse the public Term Atlas to see previously generated stereogram terms.

what's the stack?

TypeScriptReactViteNetlify FunctionsAnthropic APIfal.aiReplicate

how it stacks up fr

mikeville/text-to-stereogram0xkinno/astraea0xkinno/halcyon
Stars000
LanguageTypeScriptTypeScriptTypeScript
Setup difficultyeasyhardhard
Complexity3/54/54/5
Audiencevibe coderdeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

how do i run it?

Difficulty · easy time til it works · 5min

Local dev mode uses mocked AI calls with no API keys needed, live providers require Anthropic and fal.ai keys.

The README does not state a license, so usage terms are unclear.

in plain english

This project turns a short text prompt into a Magic Eye style hidden image, the kind of picture where a 3D shape appears if you stare at a flat, repeating pattern in a certain way. You type in a word or phrase, and the tool generates a hidden subject, works out how far away each part of that subject should look, and builds a patterned surface around it, all from that one prompt. The author notes that most similar tools require you to supply your own picture first and just apply a preset pattern to it, while this one creates the subject itself. Under the hood the process runs in stages. First it rewrites the prompt into a clearer description and a matching pattern idea. Then it creates the subject image and the background pattern at the same time. After that it estimates depth, meaning which parts should appear closer or farther, using a model called Depth Anything that runs right in the browser. Finally it renders the finished stereogram image, adding small guide dots that help your eyes find the right focus point. By default, running the project locally uses fake, pre made responses instead of real AI services, so you do not need any API keys to try it out. If you want the real version, you can turn on live providers such as Anthropic for the prompt rewriting and fal.ai for the image generation, with Replicate available as a backup option. A public page called the Term Atlas shows past search terms that have already been generated and cached, so visitors can see completed examples without waiting for new ones. The project is built with Vite, React, and TypeScript, along with Netlify serverless functions for the parts that talk to outside AI services. It includes a debug panel, accessible by adding a special flag to the page address, that shows technical details like render settings and quality checks for people who want to dig deeper. To actually view the hidden image once generated, you look at the picture from about a foot away until two small dots at the top appear to become three.

prompts (copy fr)

prompt 1
Explain how the rewrite, image, depth, and render steps connect in this text-to-stereogram pipeline.
prompt 2
Show me how to set up the .env file so I can run the live Anthropic and fal.ai version of this project.
prompt 3
Walk me through what the debug panel flags like ?dots and ?serverdepth actually change in the output.
prompt 4
Help me add a new URL flag to this project that adjusts the stereogram's eye separation setting.
prompt 5
Explain the difference between the in-browser Depth Anything model and the Replicate server depth fallback.

Frequently asked questions

what is text-to-stereogram fr?

A web tool that generates Magic Eye style hidden 3D images (autostereograms) from a plain text prompt, creating both the hidden subject and its pattern automatically.

What language is text-to-stereogram written in?

Mainly TypeScript. The stack also includes TypeScript, React, Vite.

What license does text-to-stereogram use?

The README does not state a license, so usage terms are unclear.

How hard is text-to-stereogram to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is text-to-stereogram for?

Mainly vibe coder.

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This repo across BitVibe Labs

double-check against the repo, no cap.