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ighoshsubho/README.md

Hello, I'm ighoshsubho

I'm an MLE, X yapper, and an aspiring AGI researcher.

My work primarily involves around Inference optims, ML research, contributing through OSS tools for diffusion models, and inference engines.

My Work

Get in Touch

Pinned Loading

  1. Diffusion-KernelsDiffusion-KernelsPublic

    Kernels for attention and other diffusion specific tasks.

    Cuda 10 1

  2. flow_grpo_fluxflow_grpo_fluxPublic

    Forked from yifan123/flow_grpo

    An official implementation of Flow-GRPO: Training Flow Matching Models via Online RL

    Python 4

  3. NAG impl with teacache and sage on 4...NAG impl with teacache and sage on 4090, enjoy!
    1
    fromtypingimportAny, Dict, Optional, Tuple, Union
    2
    importgc
    3
    importtorch
    4
    fromdiffusersimportBitsAndBytesConfigasDiffusersBitsAndBytesConfig
    5
    fromtransformersimportBitsAndBytesConfigasTransformersBitsAndBytesConfig
  4. MCTS_distributedMCTS_distributedPublic

    Distributed MCTS for SLMs for reasoning problems

    Python 2

  5. Hunyuan3D-2.1-OptimsHunyuan3D-2.1-OptimsPublic

    Forked from Tencent-Hunyuan/Hunyuan3D-2.1

    From Images to High-Fidelity 3D Assets with Production-Ready PBR Material

    Python 1

  6. blackwell_kernelsblackwell_kernelsPublic

    A set of blackwell kernels in cuda and cute

    Cuda 3

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
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}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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😎
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198
followers
 · 82
following

Achievements
Achievement: Pair Extraordinairex2Achievement: StarstruckAchievement: Pull Sharkx3Achievement: YOLOAchievement: Quickdraw
Achievements
Achievement: Pair Extraordinairex2Achievement: StarstruckAchievement: Pull Sharkx3Achievement: YOLOAchievement: Quickdraw

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ighoshsubho/README.md
Hello, I'm ighoshsubho
I'm an MLE, X yapper, and an aspiring AGI researcher.
My work primarily involves around Inference optims, ML research, contributing through OSS tools for diffusion models, and inference engines.
My Work
Get in Touch

Pinned
Loading
  1. Diffusion-KernelsDiffusion-KernelsPublic
    
Kernels for attention and other diffusion specific tasks.

    Cuda
10

1

  2. flow_grpo_fluxflow_grpo_fluxPublic
    
Forked from yifan123/flow_grpo
    
An official implementation of Flow-GRPO: Training Flow Matching Models via Online RL

    Python
4

  3. NAG impl with teacache and sage on 4...NAG impl with teacache and sage on 4090, enjoy!
    1
    fromtypingimportAny, Dict, Optional, Tuple, Union
    2
    importgc
    3
    importtorch
    4
    fromdiffusersimportBitsAndBytesConfigasDiffusersBitsAndBytesConfig
    5
    fromtransformersimportBitsAndBytesConfigasTransformersBitsAndBytesConfig
  4. MCTS_distributedMCTS_distributedPublic
    
Distributed MCTS for SLMs for reasoning problems

    Python
2

  5. Hunyuan3D-2.1-OptimsHunyuan3D-2.1-OptimsPublic
    
Forked from Tencent-Hunyuan/Hunyuan3D-2.1
    
From Images to High-Fidelity 3D Assets with Production-Ready PBR Material

    Python
1

  6. blackwell_kernelsblackwell_kernelsPublic
    
A set of blackwell kernels in cuda and cute

    Cuda
3


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
View ighoshsubho's full-sized avatar
😎
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😎
Learning
198
followers
 · 82
following

Achievements
Achievement: Pair Extraordinairex2Achievement: StarstruckAchievement: Pull Sharkx3Achievement: YOLOAchievement: Quickdraw
Achievements
Achievement: Pair Extraordinairex2Achievement: StarstruckAchievement: Pull Sharkx3Achievement: YOLOAchievement: Quickdraw

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ighoshsubho/README.md
Hello, I'm ighoshsubho
I'm an MLE, X yapper, and an aspiring AGI researcher.
My work primarily involves around Inference optims, ML research, contributing through OSS tools for diffusion models, and inference engines.
My Work
Get in Touch

Pinned
Loading
  1. Diffusion-KernelsDiffusion-KernelsPublic
    
Kernels for attention and other diffusion specific tasks.

    Cuda
10

1

  2. flow_grpo_fluxflow_grpo_fluxPublic
    
Forked from yifan123/flow_grpo
    
An official implementation of Flow-GRPO: Training Flow Matching Models via Online RL

    Python
4

  3. NAG impl with teacache and sage on 4...NAG impl with teacache and sage on 4090, enjoy!
    1
    fromtypingimportAny, Dict, Optional, Tuple, Union
    2
    importgc
    3
    importtorch
    4
    fromdiffusersimportBitsAndBytesConfigasDiffusersBitsAndBytesConfig
    5
    fromtransformersimportBitsAndBytesConfigasTransformersBitsAndBytesConfig
  4. MCTS_distributedMCTS_distributedPublic
    
Distributed MCTS for SLMs for reasoning problems

    Python
2

  5. Hunyuan3D-2.1-OptimsHunyuan3D-2.1-OptimsPublic
    
Forked from Tencent-Hunyuan/Hunyuan3D-2.1
    
From Images to High-Fidelity 3D Assets with Production-Ready PBR Material

    Python
1

  6. blackwell_kernelsblackwell_kernelsPublic
    
A set of blackwell kernels in cuda and cute

    Cuda
3


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
View ighoshsubho's full-sized avatar
😎
Learning
😎
Learning
198
followers
 · 82
following

Achievements
Achievement: Pair Extraordinairex2Achievement: StarstruckAchievement: Pull Sharkx3Achievement: YOLOAchievement: Quickdraw
Achievements
Achievement: Pair Extraordinairex2Achievement: StarstruckAchievement: Pull Sharkx3Achievement: YOLOAchievement: Quickdraw

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ighoshsubho/README.md
Hello, I'm ighoshsubho
I'm an MLE, X yapper, and an aspiring AGI researcher.
My work primarily involves around Inference optims, ML research, contributing through OSS tools for diffusion models, and inference engines.
My Work
Get in Touch

Pinned
Loading
  1. Diffusion-KernelsDiffusion-KernelsPublic
    
Kernels for attention and other diffusion specific tasks.

    Cuda
10

1

  2. flow_grpo_fluxflow_grpo_fluxPublic
    
Forked from yifan123/flow_grpo
    
An official implementation of Flow-GRPO: Training Flow Matching Models via Online RL

    Python
4

  3. NAG impl with teacache and sage on 4...NAG impl with teacache and sage on 4090, enjoy!
    1
    fromtypingimportAny, Dict, Optional, Tuple, Union
    2
    importgc
    3
    importtorch
    4
    fromdiffusersimportBitsAndBytesConfigasDiffusersBitsAndBytesConfig
    5
    fromtransformersimportBitsAndBytesConfigasTransformersBitsAndBytesConfig
  4. MCTS_distributedMCTS_distributedPublic
    
Distributed MCTS for SLMs for reasoning problems

    Python
2

  5. Hunyuan3D-2.1-OptimsHunyuan3D-2.1-OptimsPublic
    
Forked from Tencent-Hunyuan/Hunyuan3D-2.1
    
From Images to High-Fidelity 3D Assets with Production-Ready PBR Material

    Python
1

  6. blackwell_kernelsblackwell_kernelsPublic
    
A set of blackwell kernels in cuda and cute

    Cuda
3


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
View ighoshsubho's full-sized avatar
😎
Learning
😎
Learning
198
followers
 · 82
following

Achievements
Achievement: Pair Extraordinairex2Achievement: StarstruckAchievement: Pull Sharkx3Achievement: YOLOAchievement: Quickdraw
Achievements
Achievement: Pair Extraordinairex2Achievement: StarstruckAchievement: Pull Sharkx3Achievement: YOLOAchievement: Quickdraw

Block or report ighoshsubho

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ighoshsubho/README.md
Hello, I'm ighoshsubho
I'm an MLE, X yapper, and an aspiring AGI researcher.
My work primarily involves around Inference optims, ML research, contributing through OSS tools for diffusion models, and inference engines.
My Work
Get in Touch

Pinned
Loading
  1. Diffusion-KernelsDiffusion-KernelsPublic
    
Kernels for attention and other diffusion specific tasks.

    Cuda
10

1

  2. flow_grpo_fluxflow_grpo_fluxPublic
    
Forked from yifan123/flow_grpo
    
An official implementation of Flow-GRPO: Training Flow Matching Models via Online RL

    Python
4

  3. NAG impl with teacache and sage on 4...NAG impl with teacache and sage on 4090, enjoy!
    1
    fromtypingimportAny, Dict, Optional, Tuple, Union
    2
    importgc
    3
    importtorch
    4
    fromdiffusersimportBitsAndBytesConfigasDiffusersBitsAndBytesConfig
    5
    fromtransformersimportBitsAndBytesConfigasTransformersBitsAndBytesConfig
  4. MCTS_distributedMCTS_distributedPublic
    
Distributed MCTS for SLMs for reasoning problems

    Python
2

  5. Hunyuan3D-2.1-OptimsHunyuan3D-2.1-OptimsPublic
    
Forked from Tencent-Hunyuan/Hunyuan3D-2.1
    
From Images to High-Fidelity 3D Assets with Production-Ready PBR Material

    Python
1

  6. blackwell_kernelsblackwell_kernelsPublic
    
A set of blackwell kernels in cuda and cute

    Cuda
3


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
View ighoshsubho's full-sized avatar
😎
Learning
😎
Learning
198
followers
 · 82
following

Achievements
Achievement: Pair Extraordinairex2Achievement: StarstruckAchievement: Pull Sharkx3Achievement: YOLOAchievement: Quickdraw
Achievements
Achievement: Pair Extraordinairex2Achievement: StarstruckAchievement: Pull Sharkx3Achievement: YOLOAchievement: Quickdraw

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ighoshsubho/README.md
Hello, I'm ighoshsubho
I'm an MLE, X yapper, and an aspiring AGI researcher.
My work primarily involves around Inference optims, ML research, contributing through OSS tools for diffusion models, and inference engines.
My Work
Get in Touch

Pinned
Loading
  1. Diffusion-KernelsDiffusion-KernelsPublic
    
Kernels for attention and other diffusion specific tasks.

    Cuda
10

1

  2. flow_grpo_fluxflow_grpo_fluxPublic
    
Forked from yifan123/flow_grpo
    
An official implementation of Flow-GRPO: Training Flow Matching Models via Online RL

    Python
4

  3. NAG impl with teacache and sage on 4...NAG impl with teacache and sage on 4090, enjoy!
    1
    fromtypingimportAny, Dict, Optional, Tuple, Union
    2
    importgc
    3
    importtorch
    4
    fromdiffusersimportBitsAndBytesConfigasDiffusersBitsAndBytesConfig
    5
    fromtransformersimportBitsAndBytesConfigasTransformersBitsAndBytesConfig
  4. MCTS_distributedMCTS_distributedPublic
    
Distributed MCTS for SLMs for reasoning problems

    Python
2

  5. Hunyuan3D-2.1-OptimsHunyuan3D-2.1-OptimsPublic
    
Forked from Tencent-Hunyuan/Hunyuan3D-2.1
    
From Images to High-Fidelity 3D Assets with Production-Ready PBR Material

    Python
1

  6. blackwell_kernelsblackwell_kernelsPublic
    
A set of blackwell kernels in cuda and cute

    Cuda
3


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
View ighoshsubho's full-sized avatar
😎
Learning
😎
Learning
198
followers
 · 82
following

Achievements
Achievement: Pair Extraordinairex2Achievement: StarstruckAchievement: Pull Sharkx3Achievement: YOLOAchievement: Quickdraw
Achievements
Achievement: Pair Extraordinairex2Achievement: StarstruckAchievement: Pull Sharkx3Achievement: YOLOAchievement: Quickdraw

Block or report ighoshsubho

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ighoshsubho/README.md
Hello, I'm ighoshsubho
I'm an MLE, X yapper, and an aspiring AGI researcher.
My work primarily involves around Inference optims, ML research, contributing through OSS tools for diffusion models, and inference engines.
My Work
Get in Touch

Pinned
Loading
  1. Diffusion-KernelsDiffusion-KernelsPublic
    
Kernels for attention and other diffusion specific tasks.

    Cuda
10

1

  2. flow_grpo_fluxflow_grpo_fluxPublic
    
Forked from yifan123/flow_grpo
    
An official implementation of Flow-GRPO: Training Flow Matching Models via Online RL

    Python
4

  3. NAG impl with teacache and sage on 4...NAG impl with teacache and sage on 4090, enjoy!
    1
    fromtypingimportAny, Dict, Optional, Tuple, Union
    2
    importgc
    3
    importtorch
    4
    fromdiffusersimportBitsAndBytesConfigasDiffusersBitsAndBytesConfig
    5
    fromtransformersimportBitsAndBytesConfigasTransformersBitsAndBytesConfig
  4. MCTS_distributedMCTS_distributedPublic
    
Distributed MCTS for SLMs for reasoning problems

    Python
2

  5. Hunyuan3D-2.1-OptimsHunyuan3D-2.1-OptimsPublic
    
Forked from Tencent-Hunyuan/Hunyuan3D-2.1
    
From Images to High-Fidelity 3D Assets with Production-Ready PBR Material

    Python
1

  6. blackwell_kernelsblackwell_kernelsPublic
    
A set of blackwell kernels in cuda and cute

    Cuda
3


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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ighoshsubho/README.md
Hello, I'm ighoshsubho
I'm an MLE, X yapper, and an aspiring AGI researcher.
My work primarily involves around Inference optims, ML research, contributing through OSS tools for diffusion models, and inference engines.
My Work
Get in Touch

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  1. Diffusion-KernelsDiffusion-KernelsPublic
    
Kernels for attention and other diffusion specific tasks.

    Cuda
10

1

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Forked from yifan123/flow_grpo
    
An official implementation of Flow-GRPO: Training Flow Matching Models via Online RL

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    importgc
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    fromtransformersimportBitsAndBytesConfigasTransformersBitsAndBytesConfig
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Distributed MCTS for SLMs for reasoning problems

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Forked from Tencent-Hunyuan/Hunyuan3D-2.1
    
From Images to High-Fidelity 3D Assets with Production-Ready PBR Material

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