Ethereum

CRAWL 182_JARRINGALTARLIMESTONE_CRAWL_MAP_BY_TRAVESS_SMALLEY_SEED_1719419909847_PYTHON_V_3_12_3_SCRIPT_V_1_0_DATE_2024-06-26_12-38-29-847483.png

Collection

CRAWL by Travess Smalley

Creator

Travess Smalley

Description

_CRAWL_ is a series of 512 unique artworks, each generated from a Python-code system authored by Travess Smalley. Each artwork is a “level” to be explored, and includes different patterns, colors, and textures. The core of each artwork is a map image, but the artwork is also the way the image is revealed to the viewer through Smalley’s custom-built explorer software. Viewers can sit back and watch the software perform itself, or they can navigate directly with a keyboard. While exploring, different colors within the image trigger different events. Each level has a door icon, as well as other features to discover — all of which reveal new ways to explore. Each _CRAWL_ artwork is one “level.” If you collect multiple _CRAWL_ artworks, they can be merged into a new artwork that contains all the levels in your collection. For instance, if 24 individual levels are collected, those artworks can be combined into a unique 1/1 software artwork featuring all 24 levels, and the original single-layer artworks are burned. After a merge, icons embedded into each level map enable the collector to move between levels. Mouse Instructions: Left Click and Hold - Move towards the cursor direction Release Left Click - Stop moving Left Click on Buttons to Trigger Action Keyboard instructions: W \| Arrow Up - Move Up A \| Arrow Left - Move Left S \| Arrow Down - Move Down D \| Arrow Right - Move Right Hold Shift - Precision Movement Mode \+ \- Zoom In (20x) \- \- Zoom Out (4x) - (3x to 1x Unlocked) G - Show Map ? \- Show Info T - Warp (Unlocked) R - Create Spawn (Unlocked) U - Create Worm (Unlocked) \[ \- Ascend Level (Unlocked in Multi Level) \] \- Descend Level (Unlocked in Multi Level) Touch Instructions: Touch and Hold - Move towards the touch direction Release Touch - Stop moving Touch Buttons to Trigger Action