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index.html
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|
| 1 |
+
<!DOCTYPE html>
|
| 2 |
+
<html lang="en">
|
| 3 |
+
<head>
|
| 4 |
+
<meta charset="UTF-8"/>
|
| 5 |
+
<meta name="viewport" content="width=device-width, initial-scale=1.0"/>
|
| 6 |
+
<title>Matrix Voxel β Architecture Spec</title>
|
| 7 |
+
<link rel="preconnect" href="https://fonts.googleapis.com">
|
| 8 |
+
<link href="https://fonts.googleapis.com/css2?family=Orbitron:wght@400;600;700;900&family=DM+Mono:ital,wght@0,300;0,400;0,500;1,300&family=Barlow+Condensed:wght@300;400;600;700;900&display=swap" rel="stylesheet">
|
| 9 |
+
<style>
|
| 10 |
+
:root {
|
| 11 |
+
--bg: #06080a;
|
| 12 |
+
--bg2: #090c10;
|
| 13 |
+
--panel: #0b1018;
|
| 14 |
+
--border: #14202e;
|
| 15 |
+
--border2: #1c2d40;
|
| 16 |
+
--amber: #f5a623;
|
| 17 |
+
--amber2: #ffcc5c;
|
| 18 |
+
--amber-dim: rgba(245,166,35,0.08);
|
| 19 |
+
--blue: #1e90ff;
|
| 20 |
+
--blue-dim: rgba(30,144,255,0.08);
|
| 21 |
+
--teal: #00d4aa;
|
| 22 |
+
--red: #ff4757;
|
| 23 |
+
--green: #2ed573;
|
| 24 |
+
--purple: #a855f7;
|
| 25 |
+
--text: #8fa8c0;
|
| 26 |
+
--text-bright: #c8dce8;
|
| 27 |
+
--white: #eaf2f8;
|
| 28 |
+
--atlas: #f5a623;
|
| 29 |
+
--forge: #ff6b35;
|
| 30 |
+
--cast: #00d4aa;
|
| 31 |
+
--lens: #7b8fff;
|
| 32 |
+
--prime: #a855f7;
|
| 33 |
+
}
|
| 34 |
+
|
| 35 |
+
* { box-sizing: border-box; margin: 0; padding: 0; }
|
| 36 |
+
|
| 37 |
+
html { scroll-behavior: smooth; }
|
| 38 |
+
|
| 39 |
+
body {
|
| 40 |
+
background: var(--bg);
|
| 41 |
+
font-family: 'DM Mono', monospace;
|
| 42 |
+
color: var(--text);
|
| 43 |
+
overflow-x: hidden;
|
| 44 |
+
cursor: crosshair;
|
| 45 |
+
}
|
| 46 |
+
|
| 47 |
+
/* ββ Blueprint grid bg ββ */
|
| 48 |
+
body::before {
|
| 49 |
+
content: '';
|
| 50 |
+
position: fixed;
|
| 51 |
+
inset: 0;
|
| 52 |
+
background-image:
|
| 53 |
+
linear-gradient(rgba(245,166,35,0.025) 1px, transparent 1px),
|
| 54 |
+
linear-gradient(90deg, rgba(245,166,35,0.025) 1px, transparent 1px),
|
| 55 |
+
linear-gradient(rgba(245,166,35,0.008) 1px, transparent 1px),
|
| 56 |
+
linear-gradient(90deg, rgba(245,166,35,0.008) 1px, transparent 1px);
|
| 57 |
+
background-size: 80px 80px, 80px 80px, 16px 16px, 16px 16px;
|
| 58 |
+
pointer-events: none;
|
| 59 |
+
z-index: 0;
|
| 60 |
+
}
|
| 61 |
+
|
| 62 |
+
/* ββ Scanline overlay ββ */
|
| 63 |
+
body::after {
|
| 64 |
+
content: '';
|
| 65 |
+
position: fixed;
|
| 66 |
+
inset: 0;
|
| 67 |
+
background: repeating-linear-gradient(
|
| 68 |
+
0deg,
|
| 69 |
+
transparent,
|
| 70 |
+
transparent 2px,
|
| 71 |
+
rgba(0,0,0,0.08) 2px,
|
| 72 |
+
rgba(0,0,0,0.08) 4px
|
| 73 |
+
);
|
| 74 |
+
pointer-events: none;
|
| 75 |
+
z-index: 0;
|
| 76 |
+
}
|
| 77 |
+
|
| 78 |
+
.wrap {
|
| 79 |
+
position: relative;
|
| 80 |
+
z-index: 1;
|
| 81 |
+
max-width: 1280px;
|
| 82 |
+
margin: 0 auto;
|
| 83 |
+
padding: 0 40px 120px;
|
| 84 |
+
}
|
| 85 |
+
|
| 86 |
+
/* βββββββββββββββ HERO βββββββββββββββ */
|
| 87 |
+
.hero {
|
| 88 |
+
min-height: 100vh;
|
| 89 |
+
display: flex;
|
| 90 |
+
flex-direction: column;
|
| 91 |
+
justify-content: center;
|
| 92 |
+
align-items: flex-start;
|
| 93 |
+
padding: 80px 0 60px;
|
| 94 |
+
position: relative;
|
| 95 |
+
}
|
| 96 |
+
|
| 97 |
+
/* Rotating wireframe cube */
|
| 98 |
+
.cube-wrap {
|
| 99 |
+
position: absolute;
|
| 100 |
+
right: -40px;
|
| 101 |
+
top: 50%;
|
| 102 |
+
transform: translateY(-50%);
|
| 103 |
+
width: 520px;
|
| 104 |
+
height: 520px;
|
| 105 |
+
opacity: 0.18;
|
| 106 |
+
}
|
| 107 |
+
|
| 108 |
+
.cube-svg {
|
| 109 |
+
width: 100%;
|
| 110 |
+
height: 100%;
|
| 111 |
+
animation: rotateCube 20s linear infinite;
|
| 112 |
+
transform-origin: center center;
|
| 113 |
+
}
|
| 114 |
+
|
| 115 |
+
@keyframes rotateCube {
|
| 116 |
+
0% { transform: rotateY(0deg) rotateX(15deg); }
|
| 117 |
+
100% { transform: rotateY(360deg) rotateX(15deg); }
|
| 118 |
+
}
|
| 119 |
+
|
| 120 |
+
.cube-svg line {
|
| 121 |
+
stroke: var(--amber);
|
| 122 |
+
stroke-width: 1;
|
| 123 |
+
}
|
| 124 |
+
|
| 125 |
+
.hero-eyebrow {
|
| 126 |
+
font-family: 'DM Mono', monospace;
|
| 127 |
+
font-size: 10px;
|
| 128 |
+
color: var(--amber);
|
| 129 |
+
letter-spacing: 6px;
|
| 130 |
+
text-transform: uppercase;
|
| 131 |
+
margin-bottom: 24px;
|
| 132 |
+
display: flex;
|
| 133 |
+
align-items: center;
|
| 134 |
+
gap: 12px;
|
| 135 |
+
}
|
| 136 |
+
.hero-eyebrow::before {
|
| 137 |
+
content: '';
|
| 138 |
+
display: block;
|
| 139 |
+
width: 40px;
|
| 140 |
+
height: 1px;
|
| 141 |
+
background: var(--amber);
|
| 142 |
+
}
|
| 143 |
+
|
| 144 |
+
.hero-title {
|
| 145 |
+
font-family: 'Orbitron', monospace;
|
| 146 |
+
font-size: clamp(56px, 8vw, 112px);
|
| 147 |
+
font-weight: 900;
|
| 148 |
+
line-height: 0.9;
|
| 149 |
+
letter-spacing: -2px;
|
| 150 |
+
margin-bottom: 8px;
|
| 151 |
+
}
|
| 152 |
+
|
| 153 |
+
.hero-title .matrix {
|
| 154 |
+
color: var(--border2);
|
| 155 |
+
display: block;
|
| 156 |
+
font-size: 0.45em;
|
| 157 |
+
letter-spacing: 8px;
|
| 158 |
+
font-weight: 400;
|
| 159 |
+
margin-bottom: 4px;
|
| 160 |
+
}
|
| 161 |
+
|
| 162 |
+
.hero-title .voxel {
|
| 163 |
+
background: linear-gradient(135deg, var(--amber) 0%, var(--amber2) 50%, var(--forge) 100%);
|
| 164 |
+
-webkit-background-clip: text;
|
| 165 |
+
-webkit-text-fill-color: transparent;
|
| 166 |
+
background-clip: text;
|
| 167 |
+
display: block;
|
| 168 |
+
filter: drop-shadow(0 0 40px rgba(245,166,35,0.3));
|
| 169 |
+
}
|
| 170 |
+
|
| 171 |
+
.hero-sub {
|
| 172 |
+
font-family: 'Barlow Condensed', sans-serif;
|
| 173 |
+
font-size: 16px;
|
| 174 |
+
color: var(--text);
|
| 175 |
+
letter-spacing: 3px;
|
| 176 |
+
margin-bottom: 48px;
|
| 177 |
+
font-weight: 300;
|
| 178 |
+
text-transform: uppercase;
|
| 179 |
+
}
|
| 180 |
+
|
| 181 |
+
.hero-tags {
|
| 182 |
+
display: flex;
|
| 183 |
+
flex-wrap: wrap;
|
| 184 |
+
gap: 8px;
|
| 185 |
+
margin-bottom: 56px;
|
| 186 |
+
max-width: 700px;
|
| 187 |
+
}
|
| 188 |
+
|
| 189 |
+
.tag {
|
| 190 |
+
font-family: 'DM Mono', monospace;
|
| 191 |
+
font-size: 9px;
|
| 192 |
+
letter-spacing: 2px;
|
| 193 |
+
padding: 5px 14px;
|
| 194 |
+
border: 1px solid var(--border2);
|
| 195 |
+
color: var(--text);
|
| 196 |
+
text-transform: uppercase;
|
| 197 |
+
}
|
| 198 |
+
|
| 199 |
+
.tag.a { border-color: var(--amber); color: var(--amber); background: var(--amber-dim); }
|
| 200 |
+
.tag.b { border-color: var(--blue); color: var(--blue); background: var(--blue-dim); }
|
| 201 |
+
.tag.g { border-color: var(--green); color: var(--green); background: rgba(46,213,115,0.06); }
|
| 202 |
+
.tag.p { border-color: var(--purple); color: var(--purple); background: rgba(168,85,247,0.06); }
|
| 203 |
+
|
| 204 |
+
/* Scroll indicator */
|
| 205 |
+
.scroll-hint {
|
| 206 |
+
display: flex;
|
| 207 |
+
align-items: center;
|
| 208 |
+
gap: 12px;
|
| 209 |
+
font-size: 9px;
|
| 210 |
+
color: var(--border2);
|
| 211 |
+
letter-spacing: 3px;
|
| 212 |
+
animation: pulse 2s ease-in-out infinite;
|
| 213 |
+
}
|
| 214 |
+
.scroll-hint::after {
|
| 215 |
+
content: 'β';
|
| 216 |
+
font-size: 14px;
|
| 217 |
+
animation: bounce 1.5s ease-in-out infinite;
|
| 218 |
+
}
|
| 219 |
+
@keyframes bounce { 0%,100%{transform:translateY(0)} 50%{transform:translateY(6px)} }
|
| 220 |
+
@keyframes pulse { 0%,100%{opacity:0.4} 50%{opacity:1} }
|
| 221 |
+
|
| 222 |
+
/* Hero bottom rule */
|
| 223 |
+
.hero-rule {
|
| 224 |
+
width: 100%;
|
| 225 |
+
height: 1px;
|
| 226 |
+
background: linear-gradient(90deg, var(--amber), var(--border), transparent);
|
| 227 |
+
margin-top: 60px;
|
| 228 |
+
}
|
| 229 |
+
|
| 230 |
+
/* βββββββββββββββ SECTION SYSTEM βββββββββββββββ */
|
| 231 |
+
.section {
|
| 232 |
+
margin-top: 100px;
|
| 233 |
+
opacity: 0;
|
| 234 |
+
transform: translateY(30px);
|
| 235 |
+
transition: opacity 0.7s ease, transform 0.7s ease;
|
| 236 |
+
}
|
| 237 |
+
.section.visible {
|
| 238 |
+
opacity: 1;
|
| 239 |
+
transform: translateY(0);
|
| 240 |
+
}
|
| 241 |
+
|
| 242 |
+
.section-header {
|
| 243 |
+
display: flex;
|
| 244 |
+
align-items: baseline;
|
| 245 |
+
gap: 20px;
|
| 246 |
+
margin-bottom: 36px;
|
| 247 |
+
padding-bottom: 16px;
|
| 248 |
+
border-bottom: 1px solid var(--border);
|
| 249 |
+
position: relative;
|
| 250 |
+
}
|
| 251 |
+
.section-header::after {
|
| 252 |
+
content: '';
|
| 253 |
+
position: absolute;
|
| 254 |
+
bottom: -1px;
|
| 255 |
+
left: 0;
|
| 256 |
+
width: 80px;
|
| 257 |
+
height: 1px;
|
| 258 |
+
background: var(--amber);
|
| 259 |
+
}
|
| 260 |
+
|
| 261 |
+
.section-num {
|
| 262 |
+
font-family: 'Orbitron', monospace;
|
| 263 |
+
font-size: 11px;
|
| 264 |
+
color: var(--border2);
|
| 265 |
+
letter-spacing: 3px;
|
| 266 |
+
}
|
| 267 |
+
|
| 268 |
+
.section-title {
|
| 269 |
+
font-family: 'Barlow Condensed', sans-serif;
|
| 270 |
+
font-size: 32px;
|
| 271 |
+
font-weight: 700;
|
| 272 |
+
color: var(--white);
|
| 273 |
+
letter-spacing: 1px;
|
| 274 |
+
text-transform: uppercase;
|
| 275 |
+
}
|
| 276 |
+
|
| 277 |
+
/* βββββββββββββββ MODEL FAMILY TABLE βββββββββββββββ */
|
| 278 |
+
.model-grid {
|
| 279 |
+
display: grid;
|
| 280 |
+
grid-template-columns: repeat(5, 1fr);
|
| 281 |
+
gap: 2px;
|
| 282 |
+
}
|
| 283 |
+
|
| 284 |
+
.model-card {
|
| 285 |
+
background: var(--panel);
|
| 286 |
+
border: 1px solid var(--border);
|
| 287 |
+
padding: 0;
|
| 288 |
+
position: relative;
|
| 289 |
+
overflow: hidden;
|
| 290 |
+
transition: transform 0.2s, border-color 0.2s;
|
| 291 |
+
}
|
| 292 |
+
.model-card:hover {
|
| 293 |
+
transform: translateY(-4px);
|
| 294 |
+
z-index: 2;
|
| 295 |
+
}
|
| 296 |
+
|
| 297 |
+
.model-card-top {
|
| 298 |
+
height: 4px;
|
| 299 |
+
}
|
| 300 |
+
.mc-atlas .model-card-top { background: var(--atlas); }
|
| 301 |
+
.mc-forge .model-card-top { background: var(--forge); }
|
| 302 |
+
.mc-cast .model-card-top { background: var(--cast); }
|
| 303 |
+
.mc-lens .model-card-top { background: var(--lens); }
|
| 304 |
+
.mc-prime .model-card-top { background: var(--prime); }
|
| 305 |
+
|
| 306 |
+
.mc-atlas:hover { border-color: var(--atlas); }
|
| 307 |
+
.mc-forge:hover { border-color: var(--forge); }
|
| 308 |
+
.mc-cast:hover { border-color: var(--cast); }
|
| 309 |
+
.mc-lens:hover { border-color: var(--lens); }
|
| 310 |
+
.mc-prime:hover { border-color: var(--prime); }
|
| 311 |
+
|
| 312 |
+
.model-card-body { padding: 20px; }
|
| 313 |
+
|
| 314 |
+
.mc-icon { font-size: 28px; margin-bottom: 12px; }
|
| 315 |
+
|
| 316 |
+
.mc-name {
|
| 317 |
+
font-family: 'Orbitron', monospace;
|
| 318 |
+
font-size: 13px;
|
| 319 |
+
font-weight: 700;
|
| 320 |
+
color: var(--white);
|
| 321 |
+
margin-bottom: 4px;
|
| 322 |
+
letter-spacing: 1px;
|
| 323 |
+
}
|
| 324 |
+
.mc-atlas .mc-name { color: var(--atlas); }
|
| 325 |
+
.mc-forge .mc-name { color: var(--forge); }
|
| 326 |
+
.mc-cast .mc-name { color: var(--cast); }
|
| 327 |
+
.mc-lens .mc-name { color: var(--lens); }
|
| 328 |
+
.mc-prime .mc-name { color: var(--prime); }
|
| 329 |
+
|
| 330 |
+
.mc-task {
|
| 331 |
+
font-size: 10px;
|
| 332 |
+
color: var(--text);
|
| 333 |
+
line-height: 1.6;
|
| 334 |
+
margin-bottom: 14px;
|
| 335 |
+
}
|
| 336 |
+
|
| 337 |
+
.mc-formats {
|
| 338 |
+
display: flex;
|
| 339 |
+
flex-direction: column;
|
| 340 |
+
gap: 4px;
|
| 341 |
+
}
|
| 342 |
+
.mc-fmt {
|
| 343 |
+
font-size: 9px;
|
| 344 |
+
letter-spacing: 1px;
|
| 345 |
+
color: var(--text);
|
| 346 |
+
padding: 3px 8px;
|
| 347 |
+
background: rgba(255,255,255,0.03);
|
| 348 |
+
border-left: 2px solid var(--border2);
|
| 349 |
+
}
|
| 350 |
+
.mc-atlas .mc-fmt { border-left-color: rgba(245,166,35,0.4); }
|
| 351 |
+
.mc-forge .mc-fmt { border-left-color: rgba(255,107,53,0.4); }
|
| 352 |
+
.mc-cast .mc-fmt { border-left-color: rgba(0,212,170,0.4); }
|
| 353 |
+
.mc-lens .mc-fmt { border-left-color: rgba(123,143,255,0.4); }
|
| 354 |
+
.mc-prime .mc-fmt { border-left-color: rgba(168,85,247,0.4); }
|
| 355 |
+
|
| 356 |
+
.mc-badges {
|
| 357 |
+
display: flex;
|
| 358 |
+
gap: 5px;
|
| 359 |
+
margin-top: 14px;
|
| 360 |
+
flex-wrap: wrap;
|
| 361 |
+
}
|
| 362 |
+
.mc-badge {
|
| 363 |
+
font-size: 8px;
|
| 364 |
+
letter-spacing: 1px;
|
| 365 |
+
padding: 2px 7px;
|
| 366 |
+
border: 1px solid;
|
| 367 |
+
text-transform: uppercase;
|
| 368 |
+
}
|
| 369 |
+
.badge-open { border-color: var(--green); color: var(--green); }
|
| 370 |
+
.badge-closed { border-color: var(--purple); color: var(--purple); }
|
| 371 |
+
.badge-planned { border-color: var(--amber); color: var(--amber); }
|
| 372 |
+
|
| 373 |
+
/* βββββββββββββββ INPUT MODALITIES βββββββββββββββ */
|
| 374 |
+
.input-grid {
|
| 375 |
+
display: grid;
|
| 376 |
+
grid-template-columns: repeat(5, 1fr);
|
| 377 |
+
gap: 2px;
|
| 378 |
+
}
|
| 379 |
+
|
| 380 |
+
.input-card {
|
| 381 |
+
background: var(--panel);
|
| 382 |
+
border: 1px solid var(--border);
|
| 383 |
+
padding: 24px 20px;
|
| 384 |
+
position: relative;
|
| 385 |
+
transition: border-color 0.2s;
|
| 386 |
+
}
|
| 387 |
+
.input-card:hover { border-color: var(--amber); }
|
| 388 |
+
|
| 389 |
+
.input-icon { font-size: 32px; margin-bottom: 14px; }
|
| 390 |
+
.input-name {
|
| 391 |
+
font-family: 'Barlow Condensed', sans-serif;
|
| 392 |
+
font-size: 18px;
|
| 393 |
+
font-weight: 700;
|
| 394 |
+
color: var(--white);
|
| 395 |
+
letter-spacing: 1px;
|
| 396 |
+
margin-bottom: 8px;
|
| 397 |
+
text-transform: uppercase;
|
| 398 |
+
}
|
| 399 |
+
.input-enc {
|
| 400 |
+
font-size: 9px;
|
| 401 |
+
color: var(--amber);
|
| 402 |
+
letter-spacing: 1px;
|
| 403 |
+
margin-bottom: 10px;
|
| 404 |
+
}
|
| 405 |
+
.input-desc {
|
| 406 |
+
font-size: 10px;
|
| 407 |
+
color: var(--text);
|
| 408 |
+
line-height: 1.7;
|
| 409 |
+
}
|
| 410 |
+
|
| 411 |
+
/* Arrow between inputs */
|
| 412 |
+
.input-grid-wrap {
|
| 413 |
+
position: relative;
|
| 414 |
+
}
|
| 415 |
+
.fusion-arrow {
|
| 416 |
+
text-align: center;
|
| 417 |
+
padding: 20px 0;
|
| 418 |
+
font-size: 11px;
|
| 419 |
+
color: var(--amber);
|
| 420 |
+
letter-spacing: 4px;
|
| 421 |
+
display: flex;
|
| 422 |
+
align-items: center;
|
| 423 |
+
justify-content: center;
|
| 424 |
+
gap: 16px;
|
| 425 |
+
}
|
| 426 |
+
.fusion-arrow::before,
|
| 427 |
+
.fusion-arrow::after {
|
| 428 |
+
content: '';
|
| 429 |
+
flex: 1;
|
| 430 |
+
height: 1px;
|
| 431 |
+
background: linear-gradient(90deg, transparent, var(--amber));
|
| 432 |
+
}
|
| 433 |
+
.fusion-arrow::after {
|
| 434 |
+
background: linear-gradient(90deg, var(--amber), transparent);
|
| 435 |
+
}
|
| 436 |
+
|
| 437 |
+
.fusion-box {
|
| 438 |
+
background: linear-gradient(135deg, rgba(245,166,35,0.1), rgba(255,107,53,0.05));
|
| 439 |
+
border: 1px solid var(--amber);
|
| 440 |
+
padding: 20px 28px;
|
| 441 |
+
text-align: center;
|
| 442 |
+
position: relative;
|
| 443 |
+
}
|
| 444 |
+
.fusion-box::before,
|
| 445 |
+
.fusion-box::after {
|
| 446 |
+
content: 'β';
|
| 447 |
+
position: absolute;
|
| 448 |
+
top: 50%;
|
| 449 |
+
transform: translateY(-50%);
|
| 450 |
+
color: var(--amber);
|
| 451 |
+
font-size: 10px;
|
| 452 |
+
}
|
| 453 |
+
.fusion-box::before { left: -6px; }
|
| 454 |
+
.fusion-box::after { right: -6px; }
|
| 455 |
+
.fusion-label {
|
| 456 |
+
font-family: 'Orbitron', monospace;
|
| 457 |
+
font-size: 11px;
|
| 458 |
+
color: var(--amber);
|
| 459 |
+
letter-spacing: 4px;
|
| 460 |
+
margin-bottom: 4px;
|
| 461 |
+
}
|
| 462 |
+
.fusion-desc { font-size: 10px; color: var(--text); letter-spacing: 1px; }
|
| 463 |
+
|
| 464 |
+
/* βββββββββββββββ ARCHITECTURE βββββββββββββββ */
|
| 465 |
+
.arch-diagram {
|
| 466 |
+
display: grid;
|
| 467 |
+
grid-template-columns: 1fr 1fr;
|
| 468 |
+
gap: 32px;
|
| 469 |
+
align-items: start;
|
| 470 |
+
}
|
| 471 |
+
|
| 472 |
+
.arch-stack {
|
| 473 |
+
display: flex;
|
| 474 |
+
flex-direction: column;
|
| 475 |
+
gap: 2px;
|
| 476 |
+
}
|
| 477 |
+
|
| 478 |
+
.arch-layer {
|
| 479 |
+
padding: 14px 20px;
|
| 480 |
+
border: 1px solid var(--border);
|
| 481 |
+
background: var(--panel);
|
| 482 |
+
display: flex;
|
| 483 |
+
align-items: center;
|
| 484 |
+
gap: 14px;
|
| 485 |
+
position: relative;
|
| 486 |
+
transition: all 0.15s;
|
| 487 |
+
}
|
| 488 |
+
.arch-layer:hover {
|
| 489 |
+
border-color: var(--amber);
|
| 490 |
+
background: rgba(245,166,35,0.04);
|
| 491 |
+
padding-left: 28px;
|
| 492 |
+
}
|
| 493 |
+
|
| 494 |
+
.arch-layer-connector {
|
| 495 |
+
position: absolute;
|
| 496 |
+
left: 50%;
|
| 497 |
+
bottom: -2px;
|
| 498 |
+
width: 1px;
|
| 499 |
+
height: 2px;
|
| 500 |
+
background: var(--amber);
|
| 501 |
+
z-index: 1;
|
| 502 |
+
}
|
| 503 |
+
|
| 504 |
+
.arch-dot {
|
| 505 |
+
width: 8px;
|
| 506 |
+
height: 8px;
|
| 507 |
+
border: 1px solid;
|
| 508 |
+
border-radius: 0;
|
| 509 |
+
transform: rotate(45deg);
|
| 510 |
+
flex-shrink: 0;
|
| 511 |
+
}
|
| 512 |
+
|
| 513 |
+
.arch-label {
|
| 514 |
+
font-size: 11px;
|
| 515 |
+
color: var(--text-bright);
|
| 516 |
+
letter-spacing: 0.5px;
|
| 517 |
+
flex: 1;
|
| 518 |
+
}
|
| 519 |
+
.arch-sub {
|
| 520 |
+
font-size: 9px;
|
| 521 |
+
color: var(--text);
|
| 522 |
+
margin-top: 2px;
|
| 523 |
+
letter-spacing: 0.5px;
|
| 524 |
+
}
|
| 525 |
+
.arch-param {
|
| 526 |
+
font-size: 9px;
|
| 527 |
+
color: var(--amber);
|
| 528 |
+
letter-spacing: 1px;
|
| 529 |
+
flex-shrink: 0;
|
| 530 |
+
}
|
| 531 |
+
|
| 532 |
+
.arch-layer.backbone { border-color: var(--amber); }
|
| 533 |
+
.arch-layer.backbone .arch-dot { border-color: var(--amber); background: rgba(245,166,35,0.3); }
|
| 534 |
+
.arch-layer.decoder { }
|
| 535 |
+
.arch-layer.decoder .arch-dot { border-color: var(--blue); }
|
| 536 |
+
.arch-layer.input .arch-dot { border-color: var(--teal); }
|
| 537 |
+
.arch-layer.fuse .arch-dot { border-color: var(--amber2); background: rgba(255,204,92,0.2); }
|
| 538 |
+
|
| 539 |
+
.arch-aside {
|
| 540 |
+
display: flex;
|
| 541 |
+
flex-direction: column;
|
| 542 |
+
gap: 16px;
|
| 543 |
+
}
|
| 544 |
+
|
| 545 |
+
.arch-stat-box {
|
| 546 |
+
background: var(--panel);
|
| 547 |
+
border: 1px solid var(--border);
|
| 548 |
+
padding: 20px;
|
| 549 |
+
}
|
| 550 |
+
|
| 551 |
+
.asb-label {
|
| 552 |
+
font-family: 'DM Mono', monospace;
|
| 553 |
+
font-size: 9px;
|
| 554 |
+
color: var(--amber);
|
| 555 |
+
letter-spacing: 3px;
|
| 556 |
+
margin-bottom: 12px;
|
| 557 |
+
}
|
| 558 |
+
|
| 559 |
+
.asb-row {
|
| 560 |
+
display: flex;
|
| 561 |
+
justify-content: space-between;
|
| 562 |
+
padding: 7px 0;
|
| 563 |
+
border-bottom: 1px solid var(--border);
|
| 564 |
+
font-size: 10px;
|
| 565 |
+
}
|
| 566 |
+
.asb-row:last-child { border-bottom: none; }
|
| 567 |
+
.asb-k { color: var(--text); }
|
| 568 |
+
.asb-v { color: var(--white); font-weight: 500; }
|
| 569 |
+
.asb-v.amber { color: var(--amber); }
|
| 570 |
+
.asb-v.green { color: var(--green); }
|
| 571 |
+
|
| 572 |
+
/* βββββββββββββββ DECODER HEADS βββββββββββββββ */
|
| 573 |
+
.decoder-tabs {
|
| 574 |
+
display: flex;
|
| 575 |
+
gap: 2px;
|
| 576 |
+
margin-bottom: 2px;
|
| 577 |
+
}
|
| 578 |
+
.dtab {
|
| 579 |
+
padding: 10px 24px;
|
| 580 |
+
font-family: 'DM Mono', monospace;
|
| 581 |
+
font-size: 10px;
|
| 582 |
+
letter-spacing: 2px;
|
| 583 |
+
cursor: pointer;
|
| 584 |
+
border: 1px solid var(--border);
|
| 585 |
+
background: var(--panel);
|
| 586 |
+
color: var(--text);
|
| 587 |
+
transition: all 0.15s;
|
| 588 |
+
text-transform: uppercase;
|
| 589 |
+
}
|
| 590 |
+
.dtab:hover { color: var(--white); }
|
| 591 |
+
.dtab.active-atlas { border-color: var(--atlas); color: var(--atlas); background: rgba(245,166,35,0.06); }
|
| 592 |
+
.dtab.active-forge { border-color: var(--forge); color: var(--forge); background: rgba(255,107,53,0.06); }
|
| 593 |
+
.dtab.active-cast { border-color: var(--cast); color: var(--cast); background: rgba(0,212,170,0.06); }
|
| 594 |
+
.dtab.active-lens { border-color: var(--lens); color: var(--lens); background: rgba(123,143,255,0.06); }
|
| 595 |
+
|
| 596 |
+
.decoder-panel {
|
| 597 |
+
display: none;
|
| 598 |
+
background: var(--panel);
|
| 599 |
+
border: 1px solid var(--border);
|
| 600 |
+
padding: 32px;
|
| 601 |
+
}
|
| 602 |
+
.decoder-panel.active { display: grid; grid-template-columns: 1fr 1fr; gap: 32px; }
|
| 603 |
+
|
| 604 |
+
.dp-title {
|
| 605 |
+
font-family: 'Barlow Condensed', sans-serif;
|
| 606 |
+
font-size: 26px;
|
| 607 |
+
font-weight: 700;
|
| 608 |
+
text-transform: uppercase;
|
| 609 |
+
letter-spacing: 2px;
|
| 610 |
+
margin-bottom: 8px;
|
| 611 |
+
}
|
| 612 |
+
.dp-title.atlas { color: var(--atlas); }
|
| 613 |
+
.dp-title.forge { color: var(--forge); }
|
| 614 |
+
.dp-title.cast { color: var(--cast); }
|
| 615 |
+
.dp-title.lens { color: var(--lens); }
|
| 616 |
+
|
| 617 |
+
.dp-task {
|
| 618 |
+
font-size: 11px;
|
| 619 |
+
color: var(--text);
|
| 620 |
+
line-height: 1.7;
|
| 621 |
+
margin-bottom: 20px;
|
| 622 |
+
}
|
| 623 |
+
|
| 624 |
+
.dp-outputs {
|
| 625 |
+
display: flex;
|
| 626 |
+
flex-wrap: wrap;
|
| 627 |
+
gap: 6px;
|
| 628 |
+
margin-bottom: 24px;
|
| 629 |
+
}
|
| 630 |
+
.dp-fmt {
|
| 631 |
+
font-size: 9px;
|
| 632 |
+
letter-spacing: 2px;
|
| 633 |
+
padding: 4px 12px;
|
| 634 |
+
border: 1px solid var(--border2);
|
| 635 |
+
color: var(--text);
|
| 636 |
+
text-transform: uppercase;
|
| 637 |
+
}
|
| 638 |
+
|
| 639 |
+
.dp-modules {
|
| 640 |
+
display: flex;
|
| 641 |
+
flex-direction: column;
|
| 642 |
+
gap: 8px;
|
| 643 |
+
}
|
| 644 |
+
.dp-module {
|
| 645 |
+
padding: 10px 14px;
|
| 646 |
+
border-left: 2px solid var(--border2);
|
| 647 |
+
background: rgba(255,255,255,0.02);
|
| 648 |
+
}
|
| 649 |
+
.dp-mod-name { font-size: 10px; color: var(--text-bright); margin-bottom: 3px; letter-spacing: 0.5px; }
|
| 650 |
+
.dp-mod-desc { font-size: 9px; color: var(--text); line-height: 1.6; }
|
| 651 |
+
|
| 652 |
+
.dp-stats {
|
| 653 |
+
display: flex;
|
| 654 |
+
flex-direction: column;
|
| 655 |
+
gap: 2px;
|
| 656 |
+
}
|
| 657 |
+
.dp-stat {
|
| 658 |
+
display: flex;
|
| 659 |
+
justify-content: space-between;
|
| 660 |
+
align-items: center;
|
| 661 |
+
padding: 10px 14px;
|
| 662 |
+
background: rgba(255,255,255,0.02);
|
| 663 |
+
border: 1px solid var(--border);
|
| 664 |
+
font-size: 10px;
|
| 665 |
+
}
|
| 666 |
+
.dp-stat-k { color: var(--text); }
|
| 667 |
+
.dp-stat-v { color: var(--white); font-family: 'Orbitron', monospace; font-size: 9px; }
|
| 668 |
+
|
| 669 |
+
/* Atlas border color */
|
| 670 |
+
.decoder-panel[data-model="atlas"] { border-top: 2px solid var(--atlas); }
|
| 671 |
+
.decoder-panel[data-model="forge"] { border-top: 2px solid var(--forge); }
|
| 672 |
+
.decoder-panel[data-model="cast"] { border-top: 2px solid var(--cast); }
|
| 673 |
+
.decoder-panel[data-model="lens"] { border-top: 2px solid var(--lens); }
|
| 674 |
+
|
| 675 |
+
/* βββββββββββββββ SHARED MODULES βββββββββββββββ */
|
| 676 |
+
.modules-grid {
|
| 677 |
+
display: grid;
|
| 678 |
+
grid-template-columns: repeat(5, 1fr);
|
| 679 |
+
gap: 2px;
|
| 680 |
+
}
|
| 681 |
+
|
| 682 |
+
.mod-card {
|
| 683 |
+
background: var(--panel);
|
| 684 |
+
border: 1px solid var(--border);
|
| 685 |
+
padding: 20px 16px;
|
| 686 |
+
position: relative;
|
| 687 |
+
transition: all 0.15s;
|
| 688 |
+
}
|
| 689 |
+
.mod-card:hover {
|
| 690 |
+
border-color: var(--amber);
|
| 691 |
+
background: var(--amber-dim);
|
| 692 |
+
}
|
| 693 |
+
|
| 694 |
+
.mod-num {
|
| 695 |
+
font-family: 'Orbitron', monospace;
|
| 696 |
+
font-size: 20px;
|
| 697 |
+
font-weight: 900;
|
| 698 |
+
color: var(--border2);
|
| 699 |
+
line-height: 1;
|
| 700 |
+
margin-bottom: 10px;
|
| 701 |
+
}
|
| 702 |
+
.mod-card:hover .mod-num { color: var(--amber); }
|
| 703 |
+
|
| 704 |
+
.mod-name {
|
| 705 |
+
font-size: 10px;
|
| 706 |
+
color: var(--text-bright);
|
| 707 |
+
letter-spacing: 0.5px;
|
| 708 |
+
margin-bottom: 8px;
|
| 709 |
+
line-height: 1.4;
|
| 710 |
+
font-weight: 500;
|
| 711 |
+
}
|
| 712 |
+
|
| 713 |
+
.mod-desc {
|
| 714 |
+
font-size: 9px;
|
| 715 |
+
color: var(--text);
|
| 716 |
+
line-height: 1.7;
|
| 717 |
+
}
|
| 718 |
+
|
| 719 |
+
/* βββββββββββββββ VRAM TABLE βββββββββββββββ */
|
| 720 |
+
.vram-grid {
|
| 721 |
+
display: grid;
|
| 722 |
+
grid-template-columns: repeat(5, 1fr);
|
| 723 |
+
gap: 2px;
|
| 724 |
+
}
|
| 725 |
+
|
| 726 |
+
.vram-card {
|
| 727 |
+
background: var(--panel);
|
| 728 |
+
border: 1px solid var(--border);
|
| 729 |
+
padding: 24px 20px;
|
| 730 |
+
}
|
| 731 |
+
.vc-name {
|
| 732 |
+
font-family: 'Orbitron', monospace;
|
| 733 |
+
font-size: 10px;
|
| 734 |
+
letter-spacing: 2px;
|
| 735 |
+
margin-bottom: 16px;
|
| 736 |
+
padding-bottom: 10px;
|
| 737 |
+
border-bottom: 1px solid var(--border);
|
| 738 |
+
}
|
| 739 |
+
.mc-atlas .vc-name { color: var(--atlas); }
|
| 740 |
+
.mc-forge .vc-name { color: var(--forge); }
|
| 741 |
+
.mc-cast .vc-name { color: var(--cast); }
|
| 742 |
+
.mc-lens .vc-name { color: var(--lens); }
|
| 743 |
+
.mc-prime .vc-name { color: var(--prime); }
|
| 744 |
+
|
| 745 |
+
.vc-row {
|
| 746 |
+
display: flex;
|
| 747 |
+
justify-content: space-between;
|
| 748 |
+
font-size: 10px;
|
| 749 |
+
padding: 6px 0;
|
| 750 |
+
border-bottom: 1px solid var(--border);
|
| 751 |
+
}
|
| 752 |
+
.vc-row:last-child { border-bottom: none; }
|
| 753 |
+
.vc-k { color: var(--text); }
|
| 754 |
+
.vc-v { color: var(--white); font-weight: 500; }
|
| 755 |
+
.vc-v.green { color: var(--green); }
|
| 756 |
+
|
| 757 |
+
/* βββββββββββββββ TRAINING βββββββββββββββ */
|
| 758 |
+
.training-phases {
|
| 759 |
+
display: grid;
|
| 760 |
+
grid-template-columns: repeat(4, 1fr);
|
| 761 |
+
gap: 2px;
|
| 762 |
+
position: relative;
|
| 763 |
+
}
|
| 764 |
+
|
| 765 |
+
.training-phases::before {
|
| 766 |
+
content: '';
|
| 767 |
+
position: absolute;
|
| 768 |
+
top: 40px;
|
| 769 |
+
left: 12%;
|
| 770 |
+
right: 12%;
|
| 771 |
+
height: 1px;
|
| 772 |
+
background: linear-gradient(90deg, transparent, var(--amber), var(--amber), var(--amber), transparent);
|
| 773 |
+
z-index: 0;
|
| 774 |
+
}
|
| 775 |
+
|
| 776 |
+
.phase-card {
|
| 777 |
+
background: var(--panel);
|
| 778 |
+
border: 1px solid var(--border);
|
| 779 |
+
padding: 28px 20px;
|
| 780 |
+
position: relative;
|
| 781 |
+
z-index: 1;
|
| 782 |
+
transition: all 0.15s;
|
| 783 |
+
}
|
| 784 |
+
.phase-card:hover {
|
| 785 |
+
border-color: var(--amber);
|
| 786 |
+
transform: translateY(-3px);
|
| 787 |
+
}
|
| 788 |
+
|
| 789 |
+
.phase-num {
|
| 790 |
+
font-family: 'Orbitron', monospace;
|
| 791 |
+
font-size: 36px;
|
| 792 |
+
font-weight: 900;
|
| 793 |
+
color: var(--border2);
|
| 794 |
+
line-height: 1;
|
| 795 |
+
margin-bottom: 12px;
|
| 796 |
+
transition: color 0.15s;
|
| 797 |
+
}
|
| 798 |
+
.phase-card:hover .phase-num { color: var(--amber); }
|
| 799 |
+
|
| 800 |
+
.phase-title {
|
| 801 |
+
font-family: 'Barlow Condensed', sans-serif;
|
| 802 |
+
font-size: 18px;
|
| 803 |
+
font-weight: 700;
|
| 804 |
+
color: var(--white);
|
| 805 |
+
letter-spacing: 1px;
|
| 806 |
+
text-transform: uppercase;
|
| 807 |
+
margin-bottom: 10px;
|
| 808 |
+
}
|
| 809 |
+
.phase-steps {
|
| 810 |
+
font-size: 10px;
|
| 811 |
+
color: var(--text);
|
| 812 |
+
line-height: 1.8;
|
| 813 |
+
}
|
| 814 |
+
.phase-steps li {
|
| 815 |
+
list-style: none;
|
| 816 |
+
padding-left: 14px;
|
| 817 |
+
position: relative;
|
| 818 |
+
margin-bottom: 4px;
|
| 819 |
+
}
|
| 820 |
+
.phase-steps li::before {
|
| 821 |
+
content: 'β';
|
| 822 |
+
position: absolute;
|
| 823 |
+
left: 0;
|
| 824 |
+
color: var(--amber);
|
| 825 |
+
font-size: 8px;
|
| 826 |
+
}
|
| 827 |
+
|
| 828 |
+
/* βββββββββββββββ PRIME βββββββββββββββ */
|
| 829 |
+
.prime-panel {
|
| 830 |
+
background: var(--panel);
|
| 831 |
+
border: 1px solid var(--purple);
|
| 832 |
+
position: relative;
|
| 833 |
+
overflow: hidden;
|
| 834 |
+
}
|
| 835 |
+
|
| 836 |
+
.prime-panel::before {
|
| 837 |
+
content: '';
|
| 838 |
+
position: absolute;
|
| 839 |
+
top: 0; left: 0; right: 0;
|
| 840 |
+
height: 3px;
|
| 841 |
+
background: linear-gradient(90deg, var(--prime), var(--blue), var(--prime));
|
| 842 |
+
background-size: 200% 100%;
|
| 843 |
+
animation: shimmer 3s linear infinite;
|
| 844 |
+
}
|
| 845 |
+
@keyframes shimmer { 0%{background-position:200% 0} 100%{background-position:-200% 0} }
|
| 846 |
+
|
| 847 |
+
.prime-inner { padding: 40px; }
|
| 848 |
+
|
| 849 |
+
.prime-header {
|
| 850 |
+
display: flex;
|
| 851 |
+
align-items: flex-start;
|
| 852 |
+
justify-content: space-between;
|
| 853 |
+
margin-bottom: 32px;
|
| 854 |
+
}
|
| 855 |
+
.prime-title {
|
| 856 |
+
font-family: 'Orbitron', monospace;
|
| 857 |
+
font-size: 36px;
|
| 858 |
+
font-weight: 900;
|
| 859 |
+
color: var(--prime);
|
| 860 |
+
filter: drop-shadow(0 0 20px rgba(168,85,247,0.4));
|
| 861 |
+
letter-spacing: 2px;
|
| 862 |
+
}
|
| 863 |
+
.prime-subtitle { font-size: 11px; color: var(--text); margin-top: 6px; letter-spacing: 2px; }
|
| 864 |
+
.prime-badges { display: flex; gap: 8px; flex-direction: column; align-items: flex-end; }
|
| 865 |
+
.prime-badge {
|
| 866 |
+
font-size: 9px;
|
| 867 |
+
letter-spacing: 2px;
|
| 868 |
+
padding: 4px 14px;
|
| 869 |
+
border: 1px solid;
|
| 870 |
+
text-transform: uppercase;
|
| 871 |
+
}
|
| 872 |
+
.pb-closed { border-color: var(--purple); color: var(--purple); background: rgba(168,85,247,0.08); }
|
| 873 |
+
.pb-api { border-color: var(--blue); color: var(--blue); background: rgba(30,144,255,0.08); }
|
| 874 |
+
|
| 875 |
+
.prime-modules {
|
| 876 |
+
display: grid;
|
| 877 |
+
grid-template-columns: repeat(3, 1fr);
|
| 878 |
+
gap: 2px;
|
| 879 |
+
margin-bottom: 32px;
|
| 880 |
+
}
|
| 881 |
+
.pm-card {
|
| 882 |
+
background: rgba(168,85,247,0.04);
|
| 883 |
+
border: 1px solid rgba(168,85,247,0.2);
|
| 884 |
+
padding: 16px;
|
| 885 |
+
transition: all 0.15s;
|
| 886 |
+
}
|
| 887 |
+
.pm-card:hover {
|
| 888 |
+
background: rgba(168,85,247,0.08);
|
| 889 |
+
border-color: var(--purple);
|
| 890 |
+
}
|
| 891 |
+
.pm-name { font-size: 10px; color: var(--prime); margin-bottom: 5px; letter-spacing: 0.5px; }
|
| 892 |
+
.pm-desc { font-size: 9px; color: var(--text); line-height: 1.6; }
|
| 893 |
+
|
| 894 |
+
.prime-api {
|
| 895 |
+
background: #020608;
|
| 896 |
+
border: 1px solid var(--border);
|
| 897 |
+
padding: 24px 28px;
|
| 898 |
+
font-family: 'DM Mono', monospace;
|
| 899 |
+
font-size: 11px;
|
| 900 |
+
line-height: 2;
|
| 901 |
+
overflow-x: auto;
|
| 902 |
+
}
|
| 903 |
+
.kw { color: var(--prime); }
|
| 904 |
+
.str { color: #86efac; }
|
| 905 |
+
.key { color: var(--amber); }
|
| 906 |
+
.cm { color: var(--border2); }
|
| 907 |
+
.num { color: var(--lens); }
|
| 908 |
+
|
| 909 |
+
/* βββββββββββββββ TRAINING DATA βββββββββββββββ */
|
| 910 |
+
.data-table {
|
| 911 |
+
width: 100%;
|
| 912 |
+
border-collapse: collapse;
|
| 913 |
+
font-size: 11px;
|
| 914 |
+
}
|
| 915 |
+
.data-table th {
|
| 916 |
+
font-family: 'DM Mono', monospace;
|
| 917 |
+
font-size: 9px;
|
| 918 |
+
letter-spacing: 3px;
|
| 919 |
+
color: var(--amber);
|
| 920 |
+
text-transform: uppercase;
|
| 921 |
+
padding: 10px 16px;
|
| 922 |
+
border-bottom: 1px solid var(--amber);
|
| 923 |
+
text-align: left;
|
| 924 |
+
background: rgba(245,166,35,0.04);
|
| 925 |
+
}
|
| 926 |
+
.data-table td {
|
| 927 |
+
padding: 10px 16px;
|
| 928 |
+
border-bottom: 1px solid var(--border);
|
| 929 |
+
color: var(--text);
|
| 930 |
+
vertical-align: top;
|
| 931 |
+
}
|
| 932 |
+
.data-table tr:hover td { background: rgba(255,255,255,0.02); color: var(--text-bright); }
|
| 933 |
+
.td-dataset { color: var(--white); font-weight: 500; }
|
| 934 |
+
.td-size { color: var(--amber); font-family: 'Orbitron', monospace; font-size: 9px; }
|
| 935 |
+
.td-used { display: flex; gap: 4px; flex-wrap: wrap; }
|
| 936 |
+
.td-chip {
|
| 937 |
+
font-size: 8px;
|
| 938 |
+
letter-spacing: 1px;
|
| 939 |
+
padding: 2px 7px;
|
| 940 |
+
border: 1px solid var(--border2);
|
| 941 |
+
color: var(--text);
|
| 942 |
+
}
|
| 943 |
+
.chip-atlas { border-color: rgba(245,166,35,0.4); color: var(--atlas); }
|
| 944 |
+
.chip-forge { border-color: rgba(255,107,53,0.4); color: var(--forge); }
|
| 945 |
+
.chip-cast { border-color: rgba(0,212,170,0.4); color: var(--cast); }
|
| 946 |
+
.chip-lens { border-color: rgba(123,143,255,0.4); color: var(--lens); }
|
| 947 |
+
.chip-prime { border-color: rgba(168,85,247,0.4); color: var(--prime); }
|
| 948 |
+
|
| 949 |
+
/* βββββββββββββββ FOOTER βββββββββββββββ */
|
| 950 |
+
.footer {
|
| 951 |
+
margin-top: 100px;
|
| 952 |
+
padding: 32px 0;
|
| 953 |
+
border-top: 1px solid var(--border);
|
| 954 |
+
display: flex;
|
| 955 |
+
justify-content: space-between;
|
| 956 |
+
align-items: center;
|
| 957 |
+
flex-wrap: gap;
|
| 958 |
+
gap: 16px;
|
| 959 |
+
}
|
| 960 |
+
.footer-left {
|
| 961 |
+
font-size: 9px;
|
| 962 |
+
color: var(--border2);
|
| 963 |
+
letter-spacing: 3px;
|
| 964 |
+
line-height: 1.8;
|
| 965 |
+
}
|
| 966 |
+
.footer-models {
|
| 967 |
+
display: flex;
|
| 968 |
+
gap: 20px;
|
| 969 |
+
}
|
| 970 |
+
.fm-dot {
|
| 971 |
+
font-size: 9px;
|
| 972 |
+
letter-spacing: 2px;
|
| 973 |
+
display: flex;
|
| 974 |
+
align-items: center;
|
| 975 |
+
gap: 6px;
|
| 976 |
+
}
|
| 977 |
+
.fm-dot::before { content: 'β'; font-size: 7px; }
|
| 978 |
+
.fm-atlas::before { color: var(--atlas); }
|
| 979 |
+
.fm-forge::before { color: var(--forge); }
|
| 980 |
+
.fm-cast::before { color: var(--cast); }
|
| 981 |
+
.fm-lens::before { color: var(--lens); }
|
| 982 |
+
.fm-prime::before { color: var(--prime); }
|
| 983 |
+
|
| 984 |
+
/* βββββββββββββββ SCROLLBAR βββββββββββββββ */
|
| 985 |
+
::-webkit-scrollbar { width: 4px; }
|
| 986 |
+
::-webkit-scrollbar-track { background: var(--bg); }
|
| 987 |
+
::-webkit-scrollbar-thumb { background: var(--border2); }
|
| 988 |
+
::-webkit-scrollbar-thumb:hover { background: var(--amber); }
|
| 989 |
+
|
| 990 |
+
/* βββββββββββββββ RESPONSIVE βββββββββββββββ */
|
| 991 |
+
@media (max-width: 1100px) {
|
| 992 |
+
.model-grid { grid-template-columns: repeat(3, 1fr); }
|
| 993 |
+
.vram-grid { grid-template-columns: repeat(3, 1fr); }
|
| 994 |
+
.arch-diagram { grid-template-columns: 1fr; }
|
| 995 |
+
.prime-modules { grid-template-columns: repeat(2, 1fr); }
|
| 996 |
+
}
|
| 997 |
+
@media (max-width: 800px) {
|
| 998 |
+
.wrap { padding: 0 20px 80px; }
|
| 999 |
+
.model-grid { grid-template-columns: 1fr 1fr; }
|
| 1000 |
+
.input-grid { grid-template-columns: 1fr 1fr; }
|
| 1001 |
+
.modules-grid { grid-template-columns: 1fr 1fr; }
|
| 1002 |
+
.training-phases { grid-template-columns: 1fr 1fr; }
|
| 1003 |
+
.training-phases::before { display: none; }
|
| 1004 |
+
.decoder-panel.active { grid-template-columns: 1fr; }
|
| 1005 |
+
.decoder-tabs { flex-wrap: wrap; }
|
| 1006 |
+
.prime-modules { grid-template-columns: 1fr; }
|
| 1007 |
+
.cube-wrap { display: none; }
|
| 1008 |
+
}
|
| 1009 |
+
</style>
|
| 1010 |
+
</head>
|
| 1011 |
+
<body>
|
| 1012 |
+
<div class="wrap">
|
| 1013 |
+
|
| 1014 |
+
<!-- ββββββ HERO ββββββ -->
|
| 1015 |
+
<div class="hero">
|
| 1016 |
+
<!-- Wireframe cube SVG (CSS 3D simulated) -->
|
| 1017 |
+
<div class="cube-wrap">
|
| 1018 |
+
<svg class="cube-svg" viewBox="0 0 520 520" fill="none" xmlns="http://www.w3.org/2000/svg">
|
| 1019 |
+
<!-- Outer cube -->
|
| 1020 |
+
<line x1="130" y1="130" x2="390" y2="130"/>
|
| 1021 |
+
<line x1="390" y1="130" x2="390" y2="390"/>
|
| 1022 |
+
<line x1="390" y1="390" x2="130" y2="390"/>
|
| 1023 |
+
<line x1="130" y1="390" x2="130" y2="130"/>
|
| 1024 |
+
<!-- Inner cube (depth illusion) -->
|
| 1025 |
+
<line x1="180" y1="180" x2="340" y2="180"/>
|
| 1026 |
+
<line x1="340" y1="180" x2="340" y2="340"/>
|
| 1027 |
+
<line x1="340" y1="340" x2="180" y2="340"/>
|
| 1028 |
+
<line x1="180" y1="340" x2="180" y2="180"/>
|
| 1029 |
+
<!-- Connectors -->
|
| 1030 |
+
<line x1="130" y1="130" x2="180" y2="180" stroke-dasharray="4 4"/>
|
| 1031 |
+
<line x1="390" y1="130" x2="340" y2="180" stroke-dasharray="4 4"/>
|
| 1032 |
+
<line x1="390" y1="390" x2="340" y2="340" stroke-dasharray="4 4"/>
|
| 1033 |
+
<line x1="130" y1="390" x2="180" y2="340" stroke-dasharray="4 4"/>
|
| 1034 |
+
<!-- Diagonals -->
|
| 1035 |
+
<line x1="130" y1="130" x2="390" y2="390" stroke-opacity="0.15"/>
|
| 1036 |
+
<line x1="390" y1="130" x2="130" y2="390" stroke-opacity="0.15"/>
|
| 1037 |
+
<!-- Cross hairs -->
|
| 1038 |
+
<line x1="260" y1="80" x2="260" y2="440" stroke-opacity="0.1" stroke-dasharray="2 6"/>
|
| 1039 |
+
<line x1="80" y1="260" x2="440" y2="260" stroke-opacity="0.1" stroke-dasharray="2 6"/>
|
| 1040 |
+
<!-- Corner dots -->
|
| 1041 |
+
<circle cx="130" cy="130" r="4" fill="#f5a623"/>
|
| 1042 |
+
<circle cx="390" cy="130" r="4" fill="#f5a623"/>
|
| 1043 |
+
<circle cx="390" cy="390" r="4" fill="#f5a623"/>
|
| 1044 |
+
<circle cx="130" cy="390" r="4" fill="#f5a623"/>
|
| 1045 |
+
<circle cx="180" cy="180" r="3" fill="#f5a623" fill-opacity="0.5"/>
|
| 1046 |
+
<circle cx="340" cy="180" r="3" fill="#f5a623" fill-opacity="0.5"/>
|
| 1047 |
+
<circle cx="340" cy="340" r="3" fill="#f5a623" fill-opacity="0.5"/>
|
| 1048 |
+
<circle cx="180" cy="340" r="3" fill="#f5a623" fill-opacity="0.5"/>
|
| 1049 |
+
<!-- Center -->
|
| 1050 |
+
<circle cx="260" cy="260" r="6" fill="none" stroke="#f5a623" stroke-opacity="0.6"/>
|
| 1051 |
+
<circle cx="260" cy="260" r="2" fill="#f5a623"/>
|
| 1052 |
+
<!-- Measurement lines -->
|
| 1053 |
+
<line x1="80" y1="130" x2="110" y2="130" stroke-opacity="0.3"/>
|
| 1054 |
+
<line x1="80" y1="390" x2="110" y2="390" stroke-opacity="0.3"/>
|
| 1055 |
+
<line x1="80" y1="130" x2="80" y2="390" stroke-opacity="0.3"/>
|
| 1056 |
+
<line x1="130" y1="440" x2="130" y2="410" stroke-opacity="0.3"/>
|
| 1057 |
+
<line x1="390" y1="440" x2="390" y2="410" stroke-opacity="0.3"/>
|
| 1058 |
+
<line x1="130" y1="440" x2="390" y2="440" stroke-opacity="0.3"/>
|
| 1059 |
+
</svg>
|
| 1060 |
+
</div>
|
| 1061 |
+
|
| 1062 |
+
<div class="hero-eyebrow">MATRIX.CORP β 3D GENERATION SERIES</div>
|
| 1063 |
+
|
| 1064 |
+
<h1 class="hero-title">
|
| 1065 |
+
<span class="matrix">MATRIX</span>
|
| 1066 |
+
<span class="voxel">VOXEL</span>
|
| 1067 |
+
</h1>
|
| 1068 |
+
|
| 1069 |
+
<p class="hero-sub">Flow Matching Β· Multi-Modal Input Β· Task-Specific Decoders Β· A100 40GB</p>
|
| 1070 |
+
|
| 1071 |
+
<div class="hero-tags">
|
| 1072 |
+
<span class="tag a">5 Models</span>
|
| 1073 |
+
<span class="tag a">Shared Backbone ~2.3B</span>
|
| 1074 |
+
<span class="tag b">Flow Matching (DiT)</span>
|
| 1075 |
+
<span class="tag b">Triplane Latent Space</span>
|
| 1076 |
+
<span class="tag g">4 Open Source</span>
|
| 1077 |
+
<span class="tag p">1 Closed Source (Prime)</span>
|
| 1078 |
+
<span class="tag">Text + Image + Video + 3D Input</span>
|
| 1079 |
+
<span class="tag">OBJ Β· GLB Β· STL Β· NeRF Β· 3DGS Β· USD</span>
|
| 1080 |
+
<span class="tag">A100 40GB Target</span>
|
| 1081 |
+
</div>
|
| 1082 |
+
|
| 1083 |
+
<div class="scroll-hint">SCROLL TO EXPLORE</div>
|
| 1084 |
+
<div class="hero-rule"></div>
|
| 1085 |
+
</div>
|
| 1086 |
+
|
| 1087 |
+
<!-- ββββββ SECTION 1 β MODEL FAMILY ββββββ -->
|
| 1088 |
+
<div class="section" id="s1">
|
| 1089 |
+
<div class="section-header">
|
| 1090 |
+
<span class="section-num">01 β</span>
|
| 1091 |
+
<span class="section-title">Model Family</span>
|
| 1092 |
+
</div>
|
| 1093 |
+
|
| 1094 |
+
<div class="model-grid">
|
| 1095 |
+
<!-- Atlas -->
|
| 1096 |
+
<div class="model-card mc-atlas">
|
| 1097 |
+
<div class="model-card-top"></div>
|
| 1098 |
+
<div class="model-card-body">
|
| 1099 |
+
<div class="mc-icon">πΊοΈ</div>
|
| 1100 |
+
<div class="mc-name">Voxel Atlas</div>
|
| 1101 |
+
<div class="mc-task">World & environment generation. Terrain, buildings, biomes, interiors.</div>
|
| 1102 |
+
<div class="mc-formats">
|
| 1103 |
+
<div class="mc-fmt">.vox β Voxel Grid</div>
|
| 1104 |
+
<div class="mc-fmt">.obj β Scene</div>
|
| 1105 |
+
<div class="mc-fmt">.usd β Stage</div>
|
| 1106 |
+
</div>
|
| 1107 |
+
<div class="mc-badges">
|
| 1108 |
+
<span class="mc-badge badge-open">Open Source</span>
|
| 1109 |
+
<span class="mc-badge badge-planned">Planned</span>
|
| 1110 |
+
</div>
|
| 1111 |
+
</div>
|
| 1112 |
+
</div>
|
| 1113 |
+
<!-- Forge -->
|
| 1114 |
+
<div class="model-card mc-forge">
|
| 1115 |
+
<div class="model-card-top"></div>
|
| 1116 |
+
<div class="model-card-body">
|
| 1117 |
+
<div class="mc-icon">βοΈ</div>
|
| 1118 |
+
<div class="mc-name">Voxel Forge</div>
|
| 1119 |
+
<div class="mc-task">Game-ready mesh & asset generation with PBR textures.</div>
|
| 1120 |
+
<div class="mc-formats">
|
| 1121 |
+
<div class="mc-fmt">.obj / .glb</div>
|
| 1122 |
+
<div class="mc-fmt">.fbx β Game Engine</div>
|
| 1123 |
+
<div class="mc-fmt">.usdz β Apple AR</div>
|
| 1124 |
+
</div>
|
| 1125 |
+
<div class="mc-badges">
|
| 1126 |
+
<span class="mc-badge badge-open">Open Source</span>
|
| 1127 |
+
<span class="mc-badge badge-planned">Planned</span>
|
| 1128 |
+
</div>
|
| 1129 |
+
</div>
|
| 1130 |
+
</div>
|
| 1131 |
+
<!-- Cast -->
|
| 1132 |
+
<div class="model-card mc-cast">
|
| 1133 |
+
<div class="model-card-top"></div>
|
| 1134 |
+
<div class="model-card-body">
|
| 1135 |
+
<div class="mc-icon">π¨οΈ</div>
|
| 1136 |
+
<div class="mc-name">Voxel Cast</div>
|
| 1137 |
+
<div class="mc-task">3D printable generation. Watertight, manifold, structurally valid.</div>
|
| 1138 |
+
<div class="mc-formats">
|
| 1139 |
+
<div class="mc-fmt">.stl β Universal</div>
|
| 1140 |
+
<div class="mc-fmt">.step β CAD</div>
|
| 1141 |
+
<div class="mc-fmt">.3mf β Modern</div>
|
| 1142 |
+
</div>
|
| 1143 |
+
<div class="mc-badges">
|
| 1144 |
+
<span class="mc-badge badge-open">Open Source</span>
|
| 1145 |
+
<span class="mc-badge badge-planned">Planned</span>
|
| 1146 |
+
</div>
|
| 1147 |
+
</div>
|
| 1148 |
+
</div>
|
| 1149 |
+
<!-- Lens -->
|
| 1150 |
+
<div class="model-card mc-lens">
|
| 1151 |
+
<div class="model-card-top"></div>
|
| 1152 |
+
<div class="model-card-body">
|
| 1153 |
+
<div class="mc-icon">π</div>
|
| 1154 |
+
<div class="mc-name">Voxel Lens</div>
|
| 1155 |
+
<div class="mc-task">NeRF & Gaussian Splatting. Photorealistic scenes for VR/AR & cinema.</div>
|
| 1156 |
+
<div class="mc-formats">
|
| 1157 |
+
<div class="mc-fmt">.ply β 3DGS</div>
|
| 1158 |
+
<div class="mc-fmt">NeRF weights</div>
|
| 1159 |
+
<div class="mc-fmt">.mp4 β Render</div>
|
| 1160 |
+
</div>
|
| 1161 |
+
<div class="mc-badges">
|
| 1162 |
+
<span class="mc-badge badge-open">Open Source</span>
|
| 1163 |
+
<span class="mc-badge badge-planned">Planned</span>
|
| 1164 |
+
</div>
|
| 1165 |
+
</div>
|
| 1166 |
+
</div>
|
| 1167 |
+
<!-- Prime -->
|
| 1168 |
+
<div class="model-card mc-prime">
|
| 1169 |
+
<div class="model-card-top"></div>
|
| 1170 |
+
<div class="model-card-body">
|
| 1171 |
+
<div class="mc-icon">β</div>
|
| 1172 |
+
<div class="mc-name">Voxel Prime</div>
|
| 1173 |
+
<div class="mc-task">All-in-one unified generation. All output types in a single API call.</div>
|
| 1174 |
+
<div class="mc-formats">
|
| 1175 |
+
<div class="mc-fmt">All formats</div>
|
| 1176 |
+
<div class="mc-fmt">Pipeline mode</div>
|
| 1177 |
+
<div class="mc-fmt">Style transfer</div>
|
| 1178 |
+
</div>
|
| 1179 |
+
<div class="mc-badges">
|
| 1180 |
+
<span class="mc-badge badge-closed">Closed Source</span>
|
| 1181 |
+
<span class="mc-badge badge-planned">Planned</span>
|
| 1182 |
+
</div>
|
| 1183 |
+
</div>
|
| 1184 |
+
</div>
|
| 1185 |
+
</div>
|
| 1186 |
+
</div>
|
| 1187 |
+
|
| 1188 |
+
<!-- ββββββ SECTION 2 β INPUTS ββββββ -->
|
| 1189 |
+
<div class="section" id="s2">
|
| 1190 |
+
<div class="section-header">
|
| 1191 |
+
<span class="section-num">02 β</span>
|
| 1192 |
+
<span class="section-title">Input Modalities</span>
|
| 1193 |
+
</div>
|
| 1194 |
+
|
| 1195 |
+
<div class="input-grid">
|
| 1196 |
+
<div class="input-card">
|
| 1197 |
+
<div class="input-icon">π¬</div>
|
| 1198 |
+
<div class="input-name">Text</div>
|
| 1199 |
+
<div class="input-enc">CLIP-ViT-L + T5-XXL</div>
|
| 1200 |
+
<div class="input-desc">Natural language prompt. Primary conditioning signal. Supports detailed descriptions, style directives, material specs.</div>
|
| 1201 |
+
</div>
|
| 1202 |
+
<div class="input-card">
|
| 1203 |
+
<div class="input-icon">πΌοΈ</div>
|
| 1204 |
+
<div class="input-name">Image</div>
|
| 1205 |
+
<div class="input-enc">DINOv2-L + Depth Encoder</div>
|
| 1206 |
+
<div class="input-desc">Single reference image lifted to 3D. Infers geometry from visual cues, shading, perspective.</div>
|
| 1207 |
+
</div>
|
| 1208 |
+
<div class="input-card">
|
| 1209 |
+
<div class="input-icon">π·</div>
|
| 1210 |
+
<div class="input-name">Multi-View</div>
|
| 1211 |
+
<div class="input-enc">Multi-View Transformer</div>
|
| 1212 |
+
<div class="input-desc">2β12 images from different angles. Best geometry accuracy. Triangulates structure from multiple perspectives.</div>
|
| 1213 |
+
</div>
|
| 1214 |
+
<div class="input-card">
|
| 1215 |
+
<div class="input-icon">π¬</div>
|
| 1216 |
+
<div class="input-name">Video</div>
|
| 1217 |
+
<div class="input-enc">Video-MAE + Temporal Pool</div>
|
| 1218 |
+
<div class="input-desc">Extracts frames, infers 3D from camera motion. Enables dynamic / animated 3D scene generation (Lens).</div>
|
| 1219 |
+
</div>
|
| 1220 |
+
<div class="input-card">
|
| 1221 |
+
<div class="input-icon">πΏ</div>
|
| 1222 |
+
<div class="input-name">3D Model</div>
|
| 1223 |
+
<div class="input-enc">PointNet++</div>
|
| 1224 |
+
<div class="input-desc">Existing mesh or point cloud as conditioning. Enables retexturing, restyling, format conversion, remeshing.</div>
|
| 1225 |
+
</div>
|
| 1226 |
+
</div>
|
| 1227 |
+
|
| 1228 |
+
<div class="fusion-arrow">ALL INPUTS β CROSS-MODAL ATTENTION FUSION β 1024-DIM CONDITIONING VECTOR</div>
|
| 1229 |
+
</div>
|
| 1230 |
+
|
| 1231 |
+
<!-- ββββββ SECTION 3 β ARCHITECTURE ββββββ -->
|
| 1232 |
+
<div class="section" id="s3">
|
| 1233 |
+
<div class="section-header">
|
| 1234 |
+
<span class="section-num">03 β</span>
|
| 1235 |
+
<span class="section-title">Core Architecture</span>
|
| 1236 |
+
</div>
|
| 1237 |
+
|
| 1238 |
+
<div class="arch-diagram">
|
| 1239 |
+
<div class="arch-stack">
|
| 1240 |
+
<!-- Input encoders -->
|
| 1241 |
+
<div class="arch-layer input">
|
| 1242 |
+
<div class="arch-dot"></div>
|
| 1243 |
+
<div><div class="arch-label">Text Encoder (T5-XXL + CLIP-ViT-L)</div><div class="arch-sub">β 1024-dim text embedding</div></div>
|
| 1244 |
+
<div class="arch-param">~4.7B</div>
|
| 1245 |
+
</div>
|
| 1246 |
+
<div class="arch-layer input">
|
| 1247 |
+
<div class="arch-dot"></div>
|
| 1248 |
+
<div><div class="arch-label">Image / MultiView / Video / 3D Encoders</div><div class="arch-sub">DINOv2 Β· MultiViewTX Β· VideoMAE Β· PointNet++</div></div>
|
| 1249 |
+
<div class="arch-param">~1.2B</div>
|
| 1250 |
+
</div>
|
| 1251 |
+
<!-- Fusion -->
|
| 1252 |
+
<div class="arch-layer fuse" style="border-color:rgba(255,204,92,0.4); margin-top:2px;">
|
| 1253 |
+
<div class="arch-dot"></div>
|
| 1254 |
+
<div><div class="arch-label">Cross-Modal Conditioning Fusion</div><div class="arch-sub">Fuses all active input modalities β unified conditioning</div></div>
|
| 1255 |
+
<div class="arch-param">Module 01</div>
|
| 1256 |
+
</div>
|
| 1257 |
+
<!-- Backbone -->
|
| 1258 |
+
<div style="margin-top:2px;">
|
| 1259 |
+
<div class="arch-layer backbone">
|
| 1260 |
+
<div class="arch-dot"></div>
|
| 1261 |
+
<div><div class="arch-label">Flow Matching DiT Backbone</div><div class="arch-sub">24 blocks Β· hidden 1536 Β· 24 heads Β· AdaLN-Zero Β· 3D RoPE</div></div>
|
| 1262 |
+
<div class="arch-param">~2.3B</div>
|
| 1263 |
+
</div>
|
| 1264 |
+
<div class="arch-layer backbone" style="opacity:0.7">
|
| 1265 |
+
<div class="arch-dot"></div>
|
| 1266 |
+
<div><div class="arch-label">Triplane Latent Space</div><div class="arch-sub">3 Γ 256 Γ 256 Γ 32 channels Β· XY / XZ / YZ planes</div></div>
|
| 1267 |
+
<div class="arch-param">SHARED</div>
|
| 1268 |
+
</div>
|
| 1269 |
+
</div>
|
| 1270 |
+
<!-- Decoders -->
|
| 1271 |
+
<div style="margin-top:2px; display:grid; grid-template-columns:1fr 1fr; gap:2px;">
|
| 1272 |
+
<div class="arch-layer decoder" style="border-color:rgba(245,166,35,0.3)">
|
| 1273 |
+
<div class="arch-dot" style="border-color:var(--atlas)"></div>
|
| 1274 |
+
<div><div class="arch-label">Atlas Decoder</div><div class="arch-sub">Scene layout + voxelizer</div></div>
|
| 1275 |
+
</div>
|
| 1276 |
+
<div class="arch-layer decoder" style="border-color:rgba(255,107,53,0.3)">
|
| 1277 |
+
<div class="arch-dot" style="border-color:var(--forge)"></div>
|
| 1278 |
+
<div><div class="arch-label">Forge Decoder</div><div class="arch-sub">Occupancy + mesh refinement</div></div>
|
| 1279 |
+
</div>
|
| 1280 |
+
<div class="arch-layer decoder" style="border-color:rgba(0,212,170,0.3)">
|
| 1281 |
+
<div class="arch-dot" style="border-color:var(--cast)"></div>
|
| 1282 |
+
<div><div class="arch-label">Cast Decoder</div><div class="arch-sub">SDF β watertight mesh</div></div>
|
| 1283 |
+
</div>
|
| 1284 |
+
<div class="arch-layer decoder" style="border-color:rgba(123,143,255,0.3)">
|
| 1285 |
+
<div class="arch-dot" style="border-color:var(--lens)"></div>
|
| 1286 |
+
<div><div class="arch-label">Lens Decoder</div><div class="arch-sub">Gaussian param predictor</div></div>
|
| 1287 |
+
</div>
|
| 1288 |
+
</div>
|
| 1289 |
+
</div>
|
| 1290 |
+
|
| 1291 |
+
<!-- Stats aside -->
|
| 1292 |
+
<div class="arch-aside">
|
| 1293 |
+
<div class="arch-stat-box">
|
| 1294 |
+
<div class="asb-label">Flow Matching Config</div>
|
| 1295 |
+
<div class="asb-row"><span class="asb-k">Method</span><span class="asb-v amber">Optimal Transport FM</span></div>
|
| 1296 |
+
<div class="asb-row"><span class="asb-k">Inference Steps</span><span class="asb-v">20 β 50 NFE</span></div>
|
| 1297 |
+
<div class="asb-row"><span class="asb-k">vs DDPM</span><span class="asb-v green">~50Γ faster sampling</span></div>
|
| 1298 |
+
<div class="asb-row"><span class="asb-k">CFG Scale</span><span class="asb-v">5.0 β 10.0</span></div>
|
| 1299 |
+
<div class="asb-row"><span class="asb-k">CFG Dropout</span><span class="asb-v">10% during train</span></div>
|
| 1300 |
+
<div class="asb-row"><span class="asb-k">Scheduler</span><span class="asb-v">RF (Rectified Flow)</span></div>
|
| 1301 |
+
</div>
|
| 1302 |
+
<div class="arch-stat-box">
|
| 1303 |
+
<div class="asb-label">Triplane Latent</div>
|
| 1304 |
+
<div class="asb-row"><span class="asb-k">Planes</span><span class="asb-v">XY Β· XZ Β· YZ</span></div>
|
| 1305 |
+
<div class="asb-row"><span class="asb-k">Resolution</span><span class="asb-v">256 Γ 256</span></div>
|
| 1306 |
+
<div class="asb-row"><span class="asb-k">Channels</span><span class="asb-v">32 per plane</span></div>
|
| 1307 |
+
<div class="asb-row"><span class="asb-k">Total values</span><span class="asb-v">~6M latents</span></div>
|
| 1308 |
+
<div class="asb-row"><span class="asb-k">Point query</span><span class="asb-v">Project β 3 planes β sum</span></div>
|
| 1309 |
+
</div>
|
| 1310 |
+
<div class="arch-stat-box">
|
| 1311 |
+
<div class="asb-label">Backbone Stats</div>
|
| 1312 |
+
<div class="asb-row"><span class="asb-k">Architecture</span><span class="asb-v amber">DiT (Diffusion Transformer)</span></div>
|
| 1313 |
+
<div class="asb-row"><span class="asb-k">Layers</span><span class="asb-v">24 transformer blocks</span></div>
|
| 1314 |
+
<div class="asb-row"><span class="asb-k">Hidden dim</span><span class="asb-v">1536</span></div>
|
| 1315 |
+
<div class="asb-row"><span class="asb-k">Attention heads</span><span class="asb-v">24</span></div>
|
| 1316 |
+
<div class="asb-row"><span class="asb-k">Conditioning</span><span class="asb-v">AdaLN-Zero</span></div>
|
| 1317 |
+
<div class="asb-row"><span class="asb-k">Parameters</span><span class="asb-v green">~2.3B</span></div>
|
| 1318 |
+
</div>
|
| 1319 |
+
</div>
|
| 1320 |
+
</div>
|
| 1321 |
+
</div>
|
| 1322 |
+
|
| 1323 |
+
<!-- ββββββ SECTION 4 β DECODER HEADS ββββββ -->
|
| 1324 |
+
<div class="section" id="s4">
|
| 1325 |
+
<div class="section-header">
|
| 1326 |
+
<span class="section-num">04 β</span>
|
| 1327 |
+
<span class="section-title">Task-Specific Decoder Heads</span>
|
| 1328 |
+
</div>
|
| 1329 |
+
|
| 1330 |
+
<div class="decoder-tabs">
|
| 1331 |
+
<div class="dtab active-atlas" onclick="showDecoder('atlas', this)">πΊοΈ Atlas</div>
|
| 1332 |
+
<div class="dtab" onclick="showDecoder('forge', this)">βοΈ Forge</div>
|
| 1333 |
+
<div class="dtab" onclick="showDecoder('cast', this)">π¨οΈ Cast</div>
|
| 1334 |
+
<div class="dtab" onclick="showDecoder('lens', this)">π Lens</div>
|
| 1335 |
+
</div>
|
| 1336 |
+
|
| 1337 |
+
<!-- Atlas -->
|
| 1338 |
+
<div class="decoder-panel active" id="dp-atlas" data-model="atlas">
|
| 1339 |
+
<div>
|
| 1340 |
+
<div class="dp-title atlas">Voxel Atlas</div>
|
| 1341 |
+
<div class="dp-task">World & environment generation. Generates complete 3D scenes β terrain, structures, vegetation, sky. Supports infinite world tiling with seamless chunk stitching and biome-aware generation across 8 biome types.</div>
|
| 1342 |
+
<div class="dp-outputs">
|
| 1343 |
+
<span class="dp-fmt">.vox</span><span class="dp-fmt">.obj scene</span><span class="dp-fmt">.usd stage</span>
|
| 1344 |
+
</div>
|
| 1345 |
+
<div class="dp-modules">
|
| 1346 |
+
<div class="dp-module">
|
| 1347 |
+
<div class="dp-mod-name">Scene Layout Transformer</div>
|
| 1348 |
+
<div class="dp-mod-desc">6-layer transformer over 32Γ32 spatial grid. Divides space into semantic regions: terrain, structures, vegetation, sky, water.</div>
|
| 1349 |
+
</div>
|
| 1350 |
+
<div class="dp-module">
|
| 1351 |
+
<div class="dp-mod-name">Region-wise NeRF Decoder</div>
|
| 1352 |
+
<div class="dp-mod-desc">Per-region MLP: 3D coords + triplane β density + RGB + semantic label. Marching cubes extraction per region.</div>
|
| 1353 |
+
</div>
|
| 1354 |
+
<div class="dp-module">
|
| 1355 |
+
<div class="dp-mod-name">Infinite World Tiling</div>
|
| 1356 |
+
<div class="dp-mod-desc">Generates seamless adjacent chunks. Tiling latent conditioning ensures consistent biome transitions at borders.</div>
|
| 1357 |
+
</div>
|
| 1358 |
+
<div class="dp-module">
|
| 1359 |
+
<div class="dp-mod-name">LOD Generator</div>
|
| 1360 |
+
<div class="dp-mod-desc">Auto-generates 4 levels of detail per scene object. Compatible with Unity/Unreal LOD systems.</div>
|
| 1361 |
+
</div>
|
| 1362 |
+
</div>
|
| 1363 |
+
</div>
|
| 1364 |
+
<div class="dp-stats">
|
| 1365 |
+
<div class="dp-stat"><span class="dp-stat-k">Decoder params</span><span class="dp-stat-v">~400M</span></div>
|
| 1366 |
+
<div class="dp-stat"><span class="dp-stat-k">Total model size</span><span class="dp-stat-v">~2.7B</span></div>
|
| 1367 |
+
<div class="dp-stat"><span class="dp-stat-k">VRAM (BF16)</span><span class="dp-stat-v">~22GB</span></div>
|
| 1368 |
+
<div class="dp-stat"><span class="dp-stat-k">Small scene</span><span class="dp-stat-v">~8s on A100</span></div>
|
| 1369 |
+
<div class="dp-stat"><span class="dp-stat-k">Large chunk (256Β³)</span><span class="dp-stat-v">~35s on A100</span></div>
|
| 1370 |
+
<div class="dp-stat"><span class="dp-stat-k">Biome types</span><span class="dp-stat-v">8</span></div>
|
| 1371 |
+
<div class="dp-stat"><span class="dp-stat-k">LOD levels</span><span class="dp-stat-v">4</span></div>
|
| 1372 |
+
<div class="dp-stat"><span class="dp-stat-k">Max world resolution</span><span class="dp-stat-v">256Γ256Γ128 voxels</span></div>
|
| 1373 |
+
</div>
|
| 1374 |
+
</div>
|
| 1375 |
+
|
| 1376 |
+
<!-- Forge -->
|
| 1377 |
+
<div class="decoder-panel" id="dp-forge" data-model="forge">
|
| 1378 |
+
<div>
|
| 1379 |
+
<div class="dp-title forge">Voxel Forge</div>
|
| 1380 |
+
<div class="dp-task">Game-ready 3D asset generation with clean topology and full PBR texture maps. Supports characters, objects, props, vehicles, and architectural elements. Topology-optimized for animation rigging.</div>
|
| 1381 |
+
<div class="dp-outputs">
|
| 1382 |
+
<span class="dp-fmt">.obj + .mtl</span><span class="dp-fmt">.glb / .gltf</span><span class="dp-fmt">.fbx</span><span class="dp-fmt">.usdz</span>
|
| 1383 |
+
</div>
|
| 1384 |
+
<div class="dp-modules">
|
| 1385 |
+
<div class="dp-module">
|
| 1386 |
+
<div class="dp-mod-name">Occupancy Network + Marching Cubes</div>
|
| 1387 |
+
<div class="dp-mod-desc">MLP: 3D point + triplane β occupancy probability. Differentiable marching cubes produces initial raw mesh.</div>
|
| 1388 |
+
</div>
|
| 1389 |
+
<div class="dp-module">
|
| 1390 |
+
<div class="dp-mod-name">Mesh Refinement GNN</div>
|
| 1391 |
+
<div class="dp-mod-desc">Graph neural network over mesh vertices/edges. 8 message-passing rounds. Predicts vertex position offsets for clean quad-dominant topology.</div>
|
| 1392 |
+
</div>
|
| 1393 |
+
<div class="dp-module">
|
| 1394 |
+
<div class="dp-mod-name">UV Unwrapper + Texture Diffusion</div>
|
| 1395 |
+
<div class="dp-mod-desc">Learned UV unwrapping (SeamlessUV lineage). 2D flow matching in UV space generates albedo, roughness, metallic, normal maps at 1Kβ2K resolution.</div>
|
| 1396 |
+
</div>
|
| 1397 |
+
<div class="dp-module">
|
| 1398 |
+
<div class="dp-mod-name">Topology & Animation Optimizer</div>
|
| 1399 |
+
<div class="dp-mod-desc">Enforces edge loops for rigging. Optional bilateral symmetry. Scale normalized to real-world meters.</div>
|
| 1400 |
+
</div>
|
| 1401 |
+
</div>
|
| 1402 |
+
</div>
|
| 1403 |
+
<div class="dp-stats">
|
| 1404 |
+
<div class="dp-stat"><span class="dp-stat-k">Decoder params</span><span class="dp-stat-v">~350M</span></div>
|
| 1405 |
+
<div class="dp-stat"><span class="dp-stat-k">Total model size</span><span class="dp-stat-v">~2.65B</span></div>
|
| 1406 |
+
<div class="dp-stat"><span class="dp-stat-k">VRAM (BF16)</span><span class="dp-stat-v">~21GB</span></div>
|
| 1407 |
+
<div class="dp-stat"><span class="dp-stat-k">Low poly (β€5K tris)</span><span class="dp-stat-v">~6s on A100</span></div>
|
| 1408 |
+
<div class="dp-stat"><span class="dp-stat-k">Mid poly (β€50K tris)</span><span class="dp-stat-v">~15s on A100</span></div>
|
| 1409 |
+
<div class="dp-stat"><span class="dp-stat-k">High poly (β€500K)</span><span class="dp-stat-v">~45s on A100</span></div>
|
| 1410 |
+
<div class="dp-stat"><span class="dp-stat-k">Texture resolution</span><span class="dp-stat-v">1024 or 2048px</span></div>
|
| 1411 |
+
<div class="dp-stat"><span class="dp-stat-k">LOD levels</span><span class="dp-stat-v">4 (100/50/25/10%)</span></div>
|
| 1412 |
+
</div>
|
| 1413 |
+
</div>
|
| 1414 |
+
|
| 1415 |
+
<!-- Cast -->
|
| 1416 |
+
<div class="decoder-panel" id="dp-cast" data-model="cast">
|
| 1417 |
+
<div>
|
| 1418 |
+
<div class="dp-title cast">Voxel Cast</div>
|
| 1419 |
+
<div class="dp-task">Physically valid 3D printable model generation. Every Cast output is guaranteed watertight, manifold, zero self-intersections, minimum wall thickness enforced. Supports FDM, SLA, and resin printing workflows.</div>
|
| 1420 |
+
<div class="dp-outputs">
|
| 1421 |
+
<span class="dp-fmt">.stl</span><span class="dp-fmt">.obj (watertight)</span><span class="dp-fmt">.step (CAD)</span><span class="dp-fmt">.3mf</span>
|
| 1422 |
+
</div>
|
| 1423 |
+
<div class="dp-modules">
|
| 1424 |
+
<div class="dp-module">
|
| 1425 |
+
<div class="dp-mod-name">SDF Decoder β Dual Marching Cubes</div>
|
| 1426 |
+
<div class="dp-mod-desc">MLP outputs signed distance field. Dual marching cubes guarantees watertight topology β no holes by construction.</div>
|
| 1427 |
+
</div>
|
| 1428 |
+
<div class="dp-module">
|
| 1429 |
+
<div class="dp-mod-name">Printability Validator (hard constraints)</div>
|
| 1430 |
+
<div class="dp-mod-desc">Wall thickness β₯ 1.2mm enforced. Overhang > 45Β° flagged. Manifold checker + auto-repair. All outputs pass validation before delivery.</div>
|
| 1431 |
+
</div>
|
| 1432 |
+
<div class="dp-module">
|
| 1433 |
+
<div class="dp-mod-name">Hollowing Engine</div>
|
| 1434 |
+
<div class="dp-mod-desc">Auto-hollows solid objects with configurable wall thickness. Adds drain holes. Reduces material use by up to 80%.</div>
|
| 1435 |
+
</div>
|
| 1436 |
+
<div class="dp-module">
|
| 1437 |
+
<div class="dp-mod-name">Interlocking Part Splitter</div>
|
| 1438 |
+
<div class="dp-mod-desc">Splits large objects into printable parts with generated snap-fit joints. Scale validates against Bambu, Prusa, Ender bed sizes.</div>
|
| 1439 |
+
</div>
|
| 1440 |
+
</div>
|
| 1441 |
+
</div>
|
| 1442 |
+
<div class="dp-stats">
|
| 1443 |
+
<div class="dp-stat"><span class="dp-stat-k">Decoder params</span><span class="dp-stat-v">~200M</span></div>
|
| 1444 |
+
<div class="dp-stat"><span class="dp-stat-k">Total model size</span><span class="dp-stat-v">~2.5B</span></div>
|
| 1445 |
+
<div class="dp-stat"><span class="dp-stat-k">VRAM (BF16)</span><span class="dp-stat-v">~20GB</span></div>
|
| 1446 |
+
<div class="dp-stat"><span class="dp-stat-k">Guaranteed</span><span class="dp-stat-v">Watertight + Manifold</span></div>
|
| 1447 |
+
<div class="dp-stat"><span class="dp-stat-k">Min wall thickness</span><span class="dp-stat-v">1.2mm</span></div>
|
| 1448 |
+
<div class="dp-stat"><span class="dp-stat-k">Hollowing saving</span><span class="dp-stat-v">up to 80% material</span></div>
|
| 1449 |
+
<div class="dp-stat"><span class="dp-stat-k">Supported printers</span><span class="dp-stat-v">Bambu Β· Prusa Β· Ender</span></div>
|
| 1450 |
+
<div class="dp-stat"><span class="dp-stat-k">Non-manifold edges</span><span class="dp-stat-v">0 (guaranteed)</span></div>
|
| 1451 |
+
</div>
|
| 1452 |
+
</div>
|
| 1453 |
+
|
| 1454 |
+
<!-- Lens -->
|
| 1455 |
+
<div class="decoder-panel" id="dp-lens" data-model="lens">
|
| 1456 |
+
<div>
|
| 1457 |
+
<div class="dp-title lens">Voxel Lens</div>
|
| 1458 |
+
<div class="dp-task">Photorealistic 3D scene generation via Neural Radiance Fields and 3D Gaussian Splatting. Optimized for VR/AR visualization, cinematic rendering, and dynamic animated scenes from video input.</div>
|
| 1459 |
+
<div class="dp-outputs">
|
| 1460 |
+
<span class="dp-fmt">.ply (3DGS)</span><span class="dp-fmt">NeRF weights</span><span class="dp-fmt">.mp4 render</span><span class="dp-fmt">depth maps</span>
|
| 1461 |
+
</div>
|
| 1462 |
+
<div class="dp-modules">
|
| 1463 |
+
<div class="dp-module">
|
| 1464 |
+
<div class="dp-mod-name">Gaussian Parameter Decoder</div>
|
| 1465 |
+
<div class="dp-mod-desc">Per-Gaussian: position (3) + rotation (4) + scale (3) + opacity (1) + SH coefficients (48). Targets 500Kβ3M Gaussians per scene. Adaptive densification + pruning.</div>
|
| 1466 |
+
</div>
|
| 1467 |
+
<div class="dp-module">
|
| 1468 |
+
<div class="dp-mod-name">NeRF Branch (Instant-NGP style)</div>
|
| 1469 |
+
<div class="dp-mod-desc">Hash-grid encoder + tiny MLP. Runs in parallel with 3DGS branch. Used for scenes requiring higher photometric accuracy.</div>
|
| 1470 |
+
</div>
|
| 1471 |
+
<div class="dp-module">
|
| 1472 |
+
<div class="dp-mod-name">Dynamic Scene Support</div>
|
| 1473 |
+
<div class="dp-mod-desc">Temporal Gaussian sequences for animated scenes. Accepts video input β extracts motion β generates temporally consistent 3DGS.</div>
|
| 1474 |
+
</div>
|
| 1475 |
+
<div class="dp-module">
|
| 1476 |
+
<div class="dp-mod-name">Compression Module</div>
|
| 1477 |
+
<div class="dp-mod-desc">Reduces 3DGS file size by 60β80% with minimal quality loss. Critical for web and mobile delivery of Gaussian scenes.</div>
|
| 1478 |
+
</div>
|
| 1479 |
+
</div>
|
| 1480 |
+
</div>
|
| 1481 |
+
<div class="dp-stats">
|
| 1482 |
+
<div class="dp-stat"><span class="dp-stat-k">Decoder params</span><span class="dp-stat-v">~500M</span></div>
|
| 1483 |
+
<div class="dp-stat"><span class="dp-stat-k">Total model size</span><span class="dp-stat-v">~2.8B</span></div>
|
| 1484 |
+
<div class="dp-stat"><span class="dp-stat-k">VRAM (BF16)</span><span class="dp-stat-v">~22GB</span></div>
|
| 1485 |
+
<div class="dp-stat"><span class="dp-stat-k">Object-centric</span><span class="dp-stat-v">~12s on A100</span></div>
|
| 1486 |
+
<div class="dp-stat"><span class="dp-stat-k">Indoor scene</span><span class="dp-stat-v">~40s on A100</span></div>
|
| 1487 |
+
<div class="dp-stat"><span class="dp-stat-k">Outdoor scene</span><span class="dp-stat-v">~90s on A100</span></div>
|
| 1488 |
+
<div class="dp-stat"><span class="dp-stat-k">Max Gaussians</span><span class="dp-stat-v">3M per scene</span></div>
|
| 1489 |
+
<div class="dp-stat"><span class="dp-stat-k">File compression</span><span class="dp-stat-v">60β80% reduction</span></div>
|
| 1490 |
+
</div>
|
| 1491 |
+
</div>
|
| 1492 |
+
</div>
|
| 1493 |
+
|
| 1494 |
+
<!-- ββββββ SECTION 5 β SHARED MODULES ββββββ -->
|
| 1495 |
+
<div class="section" id="s5">
|
| 1496 |
+
<div class="section-header">
|
| 1497 |
+
<span class="section-num">05 β</span>
|
| 1498 |
+
<span class="section-title">10 Shared Custom Modules</span>
|
| 1499 |
+
</div>
|
| 1500 |
+
<div class="modules-grid">
|
| 1501 |
+
<div class="mod-card"><div class="mod-num">01</div><div class="mod-name">Cross-Modal Conditioning Fusion</div><div class="mod-desc">CrossModalAttention over all active input types. Unified 1024-dim conditioning vector fed to backbone.</div></div>
|
| 1502 |
+
<div class="mod-card"><div class="mod-num">02</div><div class="mod-name">3D RoPE Encoder</div><div class="mod-desc">RoPE adapted for triplane 3D spatial positions. Encodes XYZ coordinates with rotary positional embeddings.</div></div>
|
| 1503 |
+
<div class="mod-card"><div class="mod-num">03</div><div class="mod-name">Geometry Quality Scorer</div><div class="mod-desc">Rates generated geometry [0β1] before output. Flags low-quality generations for re-sampling at higher NFE.</div></div>
|
| 1504 |
+
<div class="mod-card"><div class="mod-num">04</div><div class="mod-name">Semantic Label Head</div><div class="mod-desc">Per-voxel/vertex semantic class prediction: wall, floor, ceiling, tree, water, metal, glass, fabric, etc.</div></div>
|
| 1505 |
+
<div class="mod-card"><div class="mod-num">05</div><div class="mod-name">Scale & Unit Manager</div><div class="mod-desc">Enforces consistent real-world scale. All outputs tagged with unit metadata (meters). Validates print scale.</div></div>
|
| 1506 |
+
<div class="mod-card"><div class="mod-num">06</div><div class="mod-name">Material Property Head</div><div class="mod-desc">Predicts PBR properties: roughness, metallic, IOR, subsurface scattering. Compatible with Blender/UE material graphs.</div></div>
|
| 1507 |
+
<div class="mod-card"><div class="mod-num">07</div><div class="mod-name">Confidence & Uncertainty Head</div><div class="mod-desc">Per-region generation confidence. Flags uncertain areas in output metadata. Drives re-sampling priority.</div></div>
|
| 1508 |
+
<div class="mod-card"><div class="mod-num">08</div><div class="mod-name">Prompt Adherence Scorer</div><div class="mod-desc">CLIP-based similarity score: how well the 3D output matches the input text prompt. Exposed in API response.</div></div>
|
| 1509 |
+
<div class="mod-card"><div class="mod-num">09</div><div class="mod-name">Multi-Resolution Decoder</div><div class="mod-desc">Coarse-to-fine generation: 64Β³ β 128Β³ β 256Β³. Each stage refines the previous. Enables fast previews at 64Β³.</div></div>
|
| 1510 |
+
<div class="mod-card"><div class="mod-num">10</div><div class="mod-name">Style Embedding Module</div><div class="mod-desc">Encodes style reference images into conditioning vector. Transfers art style, material aesthetic, and visual language to 3D output.</div></div>
|
| 1511 |
+
</div>
|
| 1512 |
+
</div>
|
| 1513 |
+
|
| 1514 |
+
<!-- ββββββ SECTION 6 β VOXEL PRIME ββββββ -->
|
| 1515 |
+
<div class="section" id="s6">
|
| 1516 |
+
<div class="section-header">
|
| 1517 |
+
<span class="section-num">06 β</span>
|
| 1518 |
+
<span class="section-title">Voxel Prime β All-In-One</span>
|
| 1519 |
+
</div>
|
| 1520 |
+
<div class="prime-panel">
|
| 1521 |
+
<div class="prime-inner">
|
| 1522 |
+
<div class="prime-header">
|
| 1523 |
+
<div>
|
| 1524 |
+
<div class="prime-title">VOXEL PRIME</div>
|
| 1525 |
+
<div class="prime-subtitle">CLOSED SOURCE Β· API ONLY Β· ALL DECODER HEADS Β· 6 EXCLUSIVE MODULES</div>
|
| 1526 |
+
</div>
|
| 1527 |
+
<div class="prime-badges">
|
| 1528 |
+
<span class="prime-badge pb-closed">π£ Closed Source</span>
|
| 1529 |
+
<span class="prime-badge pb-api">API Access Only</span>
|
| 1530 |
+
</div>
|
| 1531 |
+
</div>
|
| 1532 |
+
|
| 1533 |
+
<div class="prime-modules">
|
| 1534 |
+
<div class="pm-card"><div class="pm-name">Cross-Task Consistency</div><div class="pm-desc">Ensures Atlas world + Forge assets + Lens scene all match visually when generated together in one call.</div></div>
|
| 1535 |
+
<div class="pm-card"><div class="pm-name">Scene Population Engine</div><div class="pm-desc">Generates a world (Atlas) then auto-populates it with fitting assets (Forge). One prompt β full scene.</div></div>
|
| 1536 |
+
<div class="pm-card"><div class="pm-name">Pipeline Orchestrator</div><div class="pm-desc">Chains Atlas β Forge β Cast β Lens in a single API request. Manages inter-model dependencies automatically.</div></div>
|
| 1537 |
+
<div class="pm-card"><div class="pm-name">4Γ Texture Upscaler</div><div class="pm-desc">Photorealistic super-resolution on all generated textures. 512px base β 2048px final via flow matching in UV space.</div></div>
|
| 1538 |
+
<div class="pm-card"><div class="pm-name">Style Transfer Module</div><div class="pm-desc">Apply artistic styles (Studio Ghibli, cyberpunk, brutalist, etc.) consistently across all output types in one generation.</div></div>
|
| 1539 |
+
<div class="pm-card"><div class="pm-name">Iterative Refinement</div><div class="pm-desc">Text-guided editing of already-generated 3D content. "Make the roof taller" β re-runs only affected regions.</div></div>
|
| 1540 |
+
</div>
|
| 1541 |
+
|
| 1542 |
+
<div class="prime-api">
|
| 1543 |
+
<span class="cm">POST /v1/voxel/generate</span><br>
|
| 1544 |
+
{<br>
|
| 1545 |
+
<span class="key">"prompt"</span>: <span class="str">"A medieval castle on a cliff at sunset"</span>,<br>
|
| 1546 |
+
<span class="key">"output_types"</span>: [<span class="str">"world"</span>, <span class="str">"mesh"</span>, <span class="str">"nerf"</span>],<br>
|
| 1547 |
+
<span class="key">"inputs"</span>: {<br>
|
| 1548 |
+
<span class="key">"image"</span>: <span class="str">"base64..."</span>, <span class="cm">// optional reference</span><br>
|
| 1549 |
+
<span class="key">"video"</span>: <span class="str">"base64..."</span> <span class="cm">// optional for dynamic scenes</span><br>
|
| 1550 |
+
},<br>
|
| 1551 |
+
<span class="key">"settings"</span>: {<br>
|
| 1552 |
+
<span class="key">"quality"</span>: <span class="str">"high"</span>, <span class="cm">// draft | standard | high</span><br>
|
| 1553 |
+
<span class="key">"style"</span>: <span class="str">"realistic"</span>, <span class="cm">// realistic | stylized | low-poly | ...</span><br>
|
| 1554 |
+
<span class="key">"scale_meters"</span>: <span class="num">100.0</span>,<br>
|
| 1555 |
+
<span class="key">"populate_scene"</span>: <span class="kw">true</span> <span class="cm">// Atlas β auto-populate with Forge assets</span><br>
|
| 1556 |
+
}<br>
|
| 1557 |
+
}
|
| 1558 |
+
</div>
|
| 1559 |
+
</div>
|
| 1560 |
+
</div>
|
| 1561 |
+
</div>
|
| 1562 |
+
|
| 1563 |
+
<!-- ββββββ SECTION 7 β TRAINING DATA ββββββ -->
|
| 1564 |
+
<div class="section" id="s7">
|
| 1565 |
+
<div class="section-header">
|
| 1566 |
+
<span class="section-num">07 β</span>
|
| 1567 |
+
<span class="section-title">Training Data</span>
|
| 1568 |
+
</div>
|
| 1569 |
+
<table class="data-table">
|
| 1570 |
+
<thead>
|
| 1571 |
+
<tr><th>Dataset</th><th>Size</th><th>Content</th><th>Used by</th></tr>
|
| 1572 |
+
</thead>
|
| 1573 |
+
<tbody>
|
| 1574 |
+
<tr><td class="td-dataset">Objaverse-XL</td><td class="td-size">10M+</td><td>Massive diverse 3D objects</td><td class="td-used"><span class="td-chip chip-atlas">Atlas</span><span class="td-chip chip-forge">Forge</span><span class="td-chip chip-cast">Cast</span><span class="td-chip chip-lens">Lens</span></td></tr>
|
| 1575 |
+
<tr><td class="td-dataset">Objaverse</td><td class="td-size">800K+</td><td>Diverse annotated 3D assets</td><td class="td-used"><span class="td-chip chip-forge">Forge</span><span class="td-chip chip-cast">Cast</span><span class="td-chip chip-lens">Lens</span></td></tr>
|
| 1576 |
+
<tr><td class="td-dataset">ShapeNet</td><td class="td-size">55K</td><td>Common object categories</td><td class="td-used"><span class="td-chip chip-forge">Forge</span><span class="td-chip chip-cast">Cast</span></td></tr>
|
| 1577 |
+
<tr><td class="td-dataset">ScanNet / ScanNet++</td><td class="td-size">1.5K scenes</td><td>Indoor 3D scans (RGB-D)</td><td class="td-used"><span class="td-chip chip-atlas">Atlas</span><span class="td-chip chip-lens">Lens</span></td></tr>
|
| 1578 |
+
<tr><td class="td-dataset">KITTI / nuScenes</td><td class="td-size">40K frames</td><td>Outdoor driving 3D scenes</td><td class="td-used"><span class="td-chip chip-atlas">Atlas</span><span class="td-chip chip-lens">Lens</span></td></tr>
|
| 1579 |
+
<tr><td class="td-dataset">ABO (Amazon Berkeley)</td><td class="td-size">148K</td><td>Product meshes + materials</td><td class="td-used"><span class="td-chip chip-forge">Forge</span></td></tr>
|
| 1580 |
+
<tr><td class="td-dataset">Thingiverse</td><td class="td-size">2M+</td><td>3D printable STL models</td><td class="td-used"><span class="td-chip chip-cast">Cast</span></td></tr>
|
| 1581 |
+
<tr><td class="td-dataset">Polycam Scans</td><td class="td-size">~500K</td><td>Real-world 3DGS / NeRF captures</td><td class="td-used"><span class="td-chip chip-lens">Lens</span></td></tr>
|
| 1582 |
+
<tr><td class="td-dataset">Synthetic Renders</td><td class="td-size">Generated</td><td>Multi-view renders of Objaverse</td><td class="td-used"><span class="td-chip chip-atlas">Atlas</span><span class="td-chip chip-forge">Forge</span><span class="td-chip chip-cast">Cast</span><span class="td-chip chip-lens">Lens</span></td></tr>
|
| 1583 |
+
<tr><td class="td-dataset">Text-3D Pairs (synthetic)</td><td class="td-size">Generated</td><td>GPT-4o descriptions of Objaverse</td><td class="td-used"><span class="td-chip chip-atlas">Atlas</span><span class="td-chip chip-forge">Forge</span><span class="td-chip chip-cast">Cast</span><span class="td-chip chip-lens">Lens</span></td></tr>
|
| 1584 |
+
</tbody>
|
| 1585 |
+
</table>
|
| 1586 |
+
</div>
|
| 1587 |
+
|
| 1588 |
+
<!-- ββββββ SECTION 8 β VRAM ββββββ -->
|
| 1589 |
+
<div class="section" id="s8">
|
| 1590 |
+
<div class="section-header">
|
| 1591 |
+
<span class="section-num">08 β</span>
|
| 1592 |
+
<span class="section-title">Model Sizes & VRAM</span>
|
| 1593 |
+
</div>
|
| 1594 |
+
<div class="vram-grid">
|
| 1595 |
+
<div class="vram-card mc-atlas">
|
| 1596 |
+
<div class="vc-name">VOXEL ATLAS</div>
|
| 1597 |
+
<div class="vc-row"><span class="vc-k">Backbone</span><span class="vc-v">2.3B</span></div>
|
| 1598 |
+
<div class="vc-row"><span class="vc-k">Decoder</span><span class="vc-v">~400M</span></div>
|
| 1599 |
+
<div class="vc-row"><span class="vc-k">Total</span><span class="vc-v">~2.7B</span></div>
|
| 1600 |
+
<div class="vc-row"><span class="vc-k">BF16 VRAM</span><span class="vc-v">~22GB</span></div>
|
| 1601 |
+
<div class="vc-row"><span class="vc-k">INT8 VRAM</span><span class="vc-v green">~11GB</span></div>
|
| 1602 |
+
</div>
|
| 1603 |
+
<div class="vram-card mc-forge">
|
| 1604 |
+
<div class="vc-name">VOXEL FORGE</div>
|
| 1605 |
+
<div class="vc-row"><span class="vc-k">Backbone</span><span class="vc-v">2.3B</span></div>
|
| 1606 |
+
<div class="vc-row"><span class="vc-k">Decoder</span><span class="vc-v">~350M</span></div>
|
| 1607 |
+
<div class="vc-row"><span class="vc-k">Total</span><span class="vc-v">~2.65B</span></div>
|
| 1608 |
+
<div class="vc-row"><span class="vc-k">BF16 VRAM</span><span class="vc-v">~21GB</span></div>
|
| 1609 |
+
<div class="vc-row"><span class="vc-k">INT8 VRAM</span><span class="vc-v green">~11GB</span></div>
|
| 1610 |
+
</div>
|
| 1611 |
+
<div class="vram-card mc-cast">
|
| 1612 |
+
<div class="vc-name">VOXEL CAST</div>
|
| 1613 |
+
<div class="vc-row"><span class="vc-k">Backbone</span><span class="vc-v">2.3B</span></div>
|
| 1614 |
+
<div class="vc-row"><span class="vc-k">Decoder</span><span class="vc-v">~200M</span></div>
|
| 1615 |
+
<div class="vc-row"><span class="vc-k">Total</span><span class="vc-v">~2.5B</span></div>
|
| 1616 |
+
<div class="vc-row"><span class="vc-k">BF16 VRAM</span><span class="vc-v">~20GB</span></div>
|
| 1617 |
+
<div class="vc-row"><span class="vc-k">INT8 VRAM</span><span class="vc-v green">~10GB</span></div>
|
| 1618 |
+
</div>
|
| 1619 |
+
<div class="vram-card mc-lens">
|
| 1620 |
+
<div class="vc-name">VOXEL LENS</div>
|
| 1621 |
+
<div class="vc-row"><span class="vc-k">Backbone</span><span class="vc-v">2.3B</span></div>
|
| 1622 |
+
<div class="vc-row"><span class="vc-k">Decoder</span><span class="vc-v">~500M</span></div>
|
| 1623 |
+
<div class="vc-row"><span class="vc-k">Total</span><span class="vc-v">~2.8B</span></div>
|
| 1624 |
+
<div class="vc-row"><span class="vc-k">BF16 VRAM</span><span class="vc-v">~22GB</span></div>
|
| 1625 |
+
<div class="vc-row"><span class="vc-k">INT8 VRAM</span><span class="vc-v green">~11GB</span></div>
|
| 1626 |
+
</div>
|
| 1627 |
+
<div class="vram-card mc-prime">
|
| 1628 |
+
<div class="vc-name">VOXEL PRIME</div>
|
| 1629 |
+
<div class="vc-row"><span class="vc-k">Backbone</span><span class="vc-v">2.3B</span></div>
|
| 1630 |
+
<div class="vc-row"><span class="vc-k">All Decoders</span><span class="vc-v">~1.4B</span></div>
|
| 1631 |
+
<div class="vc-row"><span class="vc-k">Total</span><span class="vc-v">~3.7B</span></div>
|
| 1632 |
+
<div class="vc-row"><span class="vc-k">BF16 VRAM</span><span class="vc-v">~30GB</span></div>
|
| 1633 |
+
<div class="vc-row"><span class="vc-k">INT8 VRAM</span><span class="vc-v green">~15GB</span></div>
|
| 1634 |
+
</div>
|
| 1635 |
+
</div>
|
| 1636 |
+
<div style="margin-top:12px; padding:12px 16px; border:1px solid var(--border); background:var(--panel); font-size:10px; color:var(--text);">
|
| 1637 |
+
β¦ All specialist models (Atlas/Forge/Cast/Lens) fit A100 40GB in BF16 comfortably. Β· INT8 quantization brings all under 15GB β viable on consumer RTX 4090 (24GB). Β· Voxel Prime requires A100 40GB BF16 or 2Γ 4090 INT8.
|
| 1638 |
+
</div>
|
| 1639 |
+
</div>
|
| 1640 |
+
|
| 1641 |
+
<!-- ββββββ SECTION 9 β TRAINING ββββββ -->
|
| 1642 |
+
<div class="section" id="s9">
|
| 1643 |
+
<div class="section-header">
|
| 1644 |
+
<span class="section-num">09 β</span>
|
| 1645 |
+
<span class="section-title">Training Strategy</span>
|
| 1646 |
+
</div>
|
| 1647 |
+
<div class="training-phases">
|
| 1648 |
+
<div class="phase-card">
|
| 1649 |
+
<div class="phase-num">01</div>
|
| 1650 |
+
<div class="phase-title">Backbone Pre-Training</div>
|
| 1651 |
+
<ul class="phase-steps">
|
| 1652 |
+
<li>Train shared DiT on Objaverse-XL triplane reconstructions</li>
|
| 1653 |
+
<li>Text + single image conditioning only</li>
|
| 1654 |
+
<li>Context: general 3D structure, no task specialization</li>
|
| 1655 |
+
<li>~100K steps on A100 cluster</li>
|
| 1656 |
+
</ul>
|
| 1657 |
+
</div>
|
| 1658 |
+
<div class="phase-card">
|
| 1659 |
+
<div class="phase-num">02</div>
|
| 1660 |
+
<div class="phase-title">Decoder Head Training</div>
|
| 1661 |
+
<ul class="phase-steps">
|
| 1662 |
+
<li>Freeze backbone, train each head independently</li>
|
| 1663 |
+
<li>Atlas: ScanNet + synthetic world data</li>
|
| 1664 |
+
<li>Forge: ShapeNet + Objaverse + textures</li>
|
| 1665 |
+
<li>Cast: Thingiverse + watertight synthetic meshes</li>
|
| 1666 |
+
<li>Lens: Polycam + synthetic multi-view renders</li>
|
| 1667 |
+
<li>~50K steps each (parallel runs)</li>
|
| 1668 |
+
</ul>
|
| 1669 |
+
</div>
|
| 1670 |
+
<div class="phase-card">
|
| 1671 |
+
<div class="phase-num">03</div>
|
| 1672 |
+
<div class="phase-title">Joint Fine-Tuning</div>
|
| 1673 |
+
<ul class="phase-steps">
|
| 1674 |
+
<li>Unfreeze backbone, full end-to-end per model</li>
|
| 1675 |
+
<li>Add all input modalities (video, multi-view, point cloud)</li>
|
| 1676 |
+
<li>Multi-resolution curriculum: 64Β³ β 128Β³ β 256Β³</li>
|
| 1677 |
+
<li>~30K steps each</li>
|
| 1678 |
+
</ul>
|
| 1679 |
+
</div>
|
| 1680 |
+
<div class="phase-card">
|
| 1681 |
+
<div class="phase-num">04</div>
|
| 1682 |
+
<div class="phase-title">Prime Training</div>
|
| 1683 |
+
<ul class="phase-steps">
|
| 1684 |
+
<li>Init from jointly fine-tuned backbone</li>
|
| 1685 |
+
<li>All 4 decoder heads trained simultaneously</li>
|
| 1686 |
+
<li>Cross-task consistency losses</li>
|
| 1687 |
+
<li>Pipeline orchestrator + style transfer modules</li>
|
| 1688 |
+
<li>~50K steps</li>
|
| 1689 |
+
</ul>
|
| 1690 |
+
</div>
|
| 1691 |
+
</div>
|
| 1692 |
+
</div>
|
| 1693 |
+
|
| 1694 |
+
<!-- Footer -->
|
| 1695 |
+
<div class="footer">
|
| 1696 |
+
<div class="footer-left">
|
| 1697 |
+
MATRIX.CORP β VOXEL SPEC V1.0<br>
|
| 1698 |
+
π΄ PLANNED Β· ARCHITECTURE COMPLETE Β· COMPUTE TBD
|
| 1699 |
+
</div>
|
| 1700 |
+
<div class="footer-models">
|
| 1701 |
+
<span class="fm-dot fm-atlas" style="color:var(--atlas)">ATLAS</span>
|
| 1702 |
+
<span class="fm-dot fm-forge" style="color:var(--forge)">FORGE</span>
|
| 1703 |
+
<span class="fm-dot fm-cast" style="color:var(--cast)">CAST</span>
|
| 1704 |
+
<span class="fm-dot fm-lens" style="color:var(--lens)">LENS</span>
|
| 1705 |
+
<span class="fm-dot fm-prime" style="color:var(--prime)">PRIME</span>
|
| 1706 |
+
</div>
|
| 1707 |
+
</div>
|
| 1708 |
+
|
| 1709 |
+
</div>
|
| 1710 |
+
|
| 1711 |
+
<script>
|
| 1712 |
+
// ββ Decoder tab switching ββ
|
| 1713 |
+
function showDecoder(model, tabEl) {
|
| 1714 |
+
document.querySelectorAll('.decoder-panel').forEach(p => p.classList.remove('active'));
|
| 1715 |
+
document.querySelectorAll('.dtab').forEach(t => t.className = 'dtab');
|
| 1716 |
+
document.getElementById('dp-' + model).classList.add('active');
|
| 1717 |
+
tabEl.classList.add('active-' + model);
|
| 1718 |
+
}
|
| 1719 |
+
|
| 1720 |
+
// ββ Scroll-triggered section reveals ββ
|
| 1721 |
+
const observer = new IntersectionObserver((entries) => {
|
| 1722 |
+
entries.forEach(e => {
|
| 1723 |
+
if (e.isIntersecting) {
|
| 1724 |
+
e.target.classList.add('visible');
|
| 1725 |
+
}
|
| 1726 |
+
});
|
| 1727 |
+
}, { threshold: 0.08 });
|
| 1728 |
+
|
| 1729 |
+
document.querySelectorAll('.section').forEach((s, i) => {
|
| 1730 |
+
s.style.transitionDelay = '0.05s';
|
| 1731 |
+
observer.observe(s);
|
| 1732 |
+
});
|
| 1733 |
+
</script>
|
| 1734 |
+
</body>
|
| 1735 |
+
</html>
|