REKT Invaders NFT collection:

Python Version: Python 3.13.3 Used as the primary programming language for generating the collection.

Libraries:

Cairo (PyCairo): For rendering vector graphics and creating animated frames. Pillow (PIL): For image processing and saving frames as GIFs. Multiprocessing (Pool): For parallel generation of NFTs, optimizing performance across 2000 items. Random: For procedural generation of elements, ensuring variability. JSON: For metadata creation and storage. OS/IO: For file handling and directory management.

Graphics & Animation Mechanisms:

Custom pop-art style inspired by Roy Lichtenstein, using a predefined color palette (red, blue, yellow, black, white, green). Procedural generation of cosmic scenes with planets, spaceships, aliens, and dynamic text overlays. Frame-by-frame animation (140–180 frames per NFT) with a duration of 0.1s per frame, saved as optimized GIFs. Ben-Day dots, striped fills, and new pop-art patterns (e.g., zigzag, radial, checkerboard) for planet designs.

Rarity System:

Planets: Common (84%), Rare (10%), Ultra-Rare (5%), Legendary (1%). 17 common styles, 15 rare, 15 ultra-rare, 5 legendary. Invaders: Common (89%), Rare (10%), Legendary (1%). 6 common styles, 10 rare, 5 legendary. Text: Common (89%), Rare (10%), Legendary (1%). Separate conspiracy text pool for the space_invaders_invaders_win scenario, shown in 89% of cases when the victory text is common. Rarity influences visual effects: rare/legendary elements have thicker yellow outlines; common texts use black fill with yellow outlines, no flickering.

Procedural Elements:

Randomized planet and station positions in the lower third of the canvas, with overlap checks. Dynamic attack animations (lasers, missiles, etc.) ensuring all shots reach their targets. Four scenarios: ufo_attack, space_invaders_defender_wins, space_invaders_invaders_win, ship_battle. Custom "Pop Art" font for text overlays, centered with slight positional variation.

REKT Invaders NFT collection:

Python Version: Python 3.13.3 Used as the primary programming language for generating the collection.

Libraries:

Cairo (PyCairo): For rendering vector graphics and creating animated frames. Pillow (PIL): For image processing and saving frames as GIFs. Multiprocessing (Pool): For parallel generation of NFTs, optimizing performance across 2000 items. Random: For procedural generation of elements, ensuring variability. JSON: For metadata creation and storage. OS/IO: For file handling and directory management.

Graphics & Animation Mechanisms:

Custom pop-art style inspired by Roy Lichtenstein, using a predefined color palette (red, blue, yellow, black, white, green). Procedural generation of cosmic scenes with planets, spaceships, aliens, and dynamic text overlays. Frame-by-frame animation (140–180 frames per NFT) with a duration of 0.1s per frame, saved as optimized GIFs. Ben-Day dots, striped fills, and new pop-art patterns (e.g., zigzag, radial, checkerboard) for planet designs.

Rarity System:

Planets: Common (84%), Rare (10%), Ultra-Rare (5%), Legendary (1%). 17 common styles, 15 rare, 15 ultra-rare, 5 legendary. Invaders: Common (89%), Rare (10%), Legendary (1%). 6 common styles, 10 rare, 5 legendary. Text: Common (89%), Rare (10%), Legendary (1%). Separate conspiracy text pool for the space_invaders_invaders_win scenario, shown in 89% of cases when the victory text is common. Rarity influences visual effects: rare/legendary elements have thicker yellow outlines; common texts use black fill with yellow outlines, no flickering.

Procedural Elements:

Randomized planet and station positions in the lower third of the canvas, with overlap checks. Dynamic attack animations (lasers, missiles, etc.) ensuring all shots reach their targets. Four scenarios: ufo_attack, space_invaders_defender_wins, space_invaders_invaders_win, ship_battle. Custom "Pop Art" font for text overlays, centered with slight positional variation.

REKT Invaders NFT collection:

Python Version: Python 3.13.3 Used as the primary programming language for generating the collection.

Libraries:

Cairo (PyCairo): For rendering vector graphics and creating animated frames. Pillow (PIL): For image processing and saving frames as GIFs. Multiprocessing (Pool): For parallel generation of NFTs, optimizing performance across 2000 items. Random: For procedural generation of elements, ensuring variability. JSON: For metadata creation and storage. OS/IO: For file handling and directory management.

Graphics & Animation Mechanisms:

Custom pop-art style inspired by Roy Lichtenstein, using a predefined color palette (red, blue, yellow, black, white, green). Procedural generation of cosmic scenes with planets, spaceships, aliens, and dynamic text overlays. Frame-by-frame animation (140–180 frames per NFT) with a duration of 0.1s per frame, saved as optimized GIFs. Ben-Day dots, striped fills, and new pop-art patterns (e.g., zigzag, radial, checkerboard) for planet designs.

Rarity System:

Planets: Common (84%), Rare (10%), Ultra-Rare (5%), Legendary (1%). 17 common styles, 15 rare, 15 ultra-rare, 5 legendary. Invaders: Common (89%), Rare (10%), Legendary (1%). 6 common styles, 10 rare, 5 legendary. Text: Common (89%), Rare (10%), Legendary (1%). Separate conspiracy text pool for the space_invaders_invaders_win scenario, shown in 89% of cases when the victory text is common. Rarity influences visual effects: rare/legendary elements have thicker yellow outlines; common texts use black fill with yellow outlines, no flickering.

Procedural Elements:

Randomized planet and station positions in the lower third of the canvas, with overlap checks. Dynamic attack animations (lasers, missiles, etc.) ensuring all shots reach their targets. Four scenarios: ufo_attack, space_invaders_defender_wins, space_invaders_invaders_win, ship_battle. Custom "Pop Art" font for text overlays, centered with slight positional variation.