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https://github.com/ordbase/monkesee-monkedo

Let's generate 21 000 monkes (28×28px) in a "Monke See, Monke Do" reference edition.
https://github.com/ordbase/monkesee-monkedo

28px maxibiz monkes pixelart

Last synced: about 1 month ago
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Let's generate 21 000 monkes (28×28px) in a "Monke See, Monke Do" reference edition.

Awesome Lists containing this project

README

        

Looking for 5000 Punks (24px)?
See [We Love ~~Monkes~~ Punks (24×24px) »](https://github.com/ordbase/welovemonkes)

Looking for 1000 Rocks (28px)?
See [Let's Rock (28×28px) »](https://github.com/ordbase/letsrock)

# Monke See, Monke Do (28×28px)

## What's News? Updates

**NEW!** Free self-inscribe first-is-first mint (via [bitcoin ordinal inscriptions](https://ordinals.com)) of Monkes Twenty One (Monkes21) started. See [**orc721.github.io/monkes21 »**](https://orc721.github.io/monkes21)

## Intro

> At the end of the day, the question is simple: do you like the monkes?
>
> -- Nodetoshi & Monketoshi @ [Node Monkes](https://twitter.com/nodemonkes)

Let's generate 21 000 monkes (28×28px) in a "Monke See, Monke Do" reference edition.

Find all 21 000 reference images one-by-one in 28×28px in [**/i**](i):

![](i/monke00000.png)
![](i/monke00001.png)
![](i/monke00002.png)
![](i/monke00003.png)
![](i/monke00004.png)
![](i/monke00005.png)
![](i/monke00006.png)
![](i/monke00007.png)
![](i/monke00008.png)
![](i/monke00009.png)
![](i/monke00010.png)
![](i/monke00011.png)
![](i/monke00012.png)
![](i/monke00013.png)
![](i/monke00014.png) ...

and in 8x (224×224px) in [**/i@8x**](i@8x):

![](i@8x/[email protected])
![](i@8x/[email protected])
![](i@8x/[email protected])
![](i@8x/[email protected])
![](i@8x/[email protected])
![](i@8x/[email protected])
![](i@8x/[email protected])
![](i@8x/[email protected])
![](i@8x/[email protected])
![](i@8x/[email protected])
![](i@8x/[email protected])
![](i@8x/[email protected])
![](i@8x/[email protected])
![](i@8x/[email protected])
![](i@8x/[email protected]) ...

Find all meta data in the [monkesee-monkedo.csv](monkesee-monkedo.csv) tabular dataset e.g.

```
id, type, accessories, background
0, light small, mohawk2 blonde / lasereyes red, bitcoin pattern
1, brown, tophat midnight, red
2, gray, hoodie red / eyes pepe, green
3, green, jesterhat, dollar pattern
4, pink small, bob blonde small / 3d glasses, blue
5, purple small, hoodie orange / 3d glasses, euro pattern
6, white, mohawk2 blonde / eyemask, aqua
7, alien, earring / eyes bot green, classic
8, boned, shades rainbow, rainbow
9, bot, cap burgerking / eyes bot green, ukraine
10, deathbot, wizardhat blue, usa
11, demon, eyes zombie, china
12, golden, beanie / shades polarized, great britain
13, hyena, hoodie aqua / eyes deathbot, europe
14, mempool, hoodie purple / shades polarized, austria
...
```

Bonus - All together now. Find the composite fam image of all 21 000 in a 200×105 grid in [monkesee-monkedo.png](monkesee-monkedo.png) (~4MB - 5600×2940px).

## Builders Corner - Yes, You Can

For reference find all (generative) attributes (base types, backgrounds and accessories) in 28×28px in [**/attributes**](attributes).

Yes, you can generate your own samples via "text prompts" using the generate_samples script
and you can regenerate this random set
using the generate_meta script
and using the generate script to generate all images
from the tabular dataset.

## Questions? Comments?

Join us in the [Ordbase (Incl Ordgen / ORC-721) discord (chat server)](https://discord.gg/dDhvHKjm2t). Yes you can.
Your questions and commentary welcome.

Or post them over at the [Help & Support](https://github.com/geraldb/help) page. Thanks.