Created
February 17, 2026 18:05
-
-
Save patriciogonzalezvivo/85ba7de91b024dec1b2c2e65bb6e128b to your computer and use it in GitHub Desktop.
Sprite Loop
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| { | |
| "frag": "#ifdef GL_ES\nprecision mediump float;\n#endif\n\nuniform sampler2D u_tex0;\nuniform vec2 u_tex0Resolution;\n\nuniform vec2 u_resolution;\nuniform float u_time;\n\n#define SAMPLESPRITE_SAMPLER_FNC(TEX, UV) sampleNearest(TEX, UV, u_tex0Resolution)\n\n#include \"lygia/space/ratio.glsl\"\n#include \"lygia/sample/nearest.glsl\"\n#include \"lygia/animation/spriteLoop.glsl\"\n\nvoid main (void) {\n vec4 color = vec4(0.0, 0.0, 0.0, 1.0);\n vec2 pixel = 1.0/u_resolution.xy;\n vec2 st = gl_FragCoord.xy * pixel;\n st = ratio(st, u_resolution);\n\n vec2 grid = vec2(10., 7.0);\n\n float time = mod(u_time * 6.0, 48.0);\n if (time < 6.0)\n color = spriteLoop(u_tex0, st, grid, 0., 2., time);\n else if (time < 12.0)\n color = spriteLoop(u_tex0, st, grid, 3., 6., time);\n else if (time < 18.0)\n color = spriteLoop(u_tex0, st, grid, 13., 16., time);\n else if (time < 24.0)\n color = spriteLoop(u_tex0, st, grid, 23., 26., time);\n else if (time < 30.0)\n color = spriteLoop(u_tex0, st, grid, 33., 36., time);\n else if (time < 36.0)\n color = spriteLoop(u_tex0, st, grid, 43., 46., time);\n else if (time < 42.0)\n color = spriteLoop(u_tex0, st, grid, 50., 53., time);\n else\n color = spriteLoop(u_tex0, st, grid, 60., 65., time);\n\n // color = sampleSprite(u_tex0, st, grid, 41.);\n // color = texture2D(u_tex0, st);\n \n gl_FragColor = color;\n}\n", | |
| "vert": "#ifdef GL_ES\nprecision mediump float;\n#endif\n\nattribute vec4 a_position;\nvarying vec4 v_position;\n\nvoid main() {\n v_position = a_position;\n gl_Position = a_position;\n}\n", | |
| "commands": [ | |
| "plot,off", | |
| "textures,off", | |
| "buffers,off", | |
| "cubemap,off", | |
| "camera_position,-0,-0,-2", | |
| "camera_look_at,0,0,0", | |
| "camera,default" | |
| ], | |
| "assets": { | |
| "sprite_megaman.png": "data:image/png;base64,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" | |
| }, | |
| "history": [ | |
| { | |
| "gistId": "a9580bfb8643ace2ab8ad56642c9edbe", | |
| "owner": { | |
| "login": "patriciogonzalezvivo", | |
| "id": 346914, | |
| "avatar_url": "https://avatars.githubusercontent.com/u/346914?v=4" | |
| }, | |
| "loadedAt": "2026-02-17T18:05:11.248Z" | |
| } | |
| ] | |
| } |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment