🎨 AI Webtoon Creation Platform: Turn Your Ideas into Reality!
🌟 Two Powerful Tools, One Perfect Workflow 📖 Webtoon Generator ginigen/AGI-WebToon-KOREA "Transform Your Ideas into 40-Episode Masterpieces" ✨
Automated Story Planning 🎬 One-line idea → Complete 40-episode structure Automatic cliffhangers for each episode Customized storytelling for 9 different genres
Consistent Character Design 👥 Maintains consistent character appearance throughout Memorable and distinctive character visuals Automatic character generation system
Instant 30-Panel Storyboard 🎞️ Auto-placement of dialogue, narration, and sound effects Cinematic shot composition (close-ups, wide shots, etc.) Vertical scroll format optimized for webtoons
🖌️ Editing Studio ginigen/webtoon-studio "Professional Finishing Touch for Your Generated Webtoons" 🎯
Intuitive Drag & Drop ✏️ 10 speech bubble styles (normal, thought, shout, whisper...) 12 Korean fonts for emotional expression Real-time preview & editing
Professional-Grade Finishing 💎 Image sequence adjustment & spacing control Individual panel refinement Publication-ready final export
💡 Who Should Use This? 🏢 Corporate Marketing Teams Product Launch Campaigns 📱: Turn complex features into engaging stories Brand Storytelling 🎯: Make corporate messages approachable and shareable
👨🎨 Content Creators Aspiring Artists 🌱: Create webtoons without drawing skills Professional Writers ⚡: Transform scripts into visual narratives instantly
🚀 Why Use Both Tools Together? Perfect 3-Step Workflow: 1️⃣ Generate → Input idea, get complete storyboard 2️⃣ Customize → Add branding, adjust dialogue, insert logos 3️⃣ Publish → Export and share across all platforms 📊 Key Benefits
95% faster than traditional production 80% cost reduction compared to agencies 10x better engagement with Gen MZ audience Zero artistic skills required
🎯 Two Models, One Space! GPT-OSS hit #1 on HF just 2 hours after release! 🏆 Now you can use both models conveniently in a single space. 📋 Model Selection Made Easy! Just pick from the dropdown ✅ ├── GPT-OSS-120B (Complex tasks) └── GPT-OSS-20B (Quick chats) 💫 How to Use (Takes 30 seconds!)
Sign in → With your HF account 🔐 Select model → Choose what you need 📌 Apply → Click! ⚡ Start chatting → That's it! 💬
🌈 Perfect For:
120B → Deep analysis, professional work 🧠 20B → Fast responses, casual conversations ⚡
No installation needed - just use it in your browser! 🌐 ✨ Special Features
🎨 Beautiful gradient UI 🌙 Dark mode support 🔄 Real-time model switching 🆓 Completely free!
Summary: Can an AI truly “refer to itself”? We reframe self-reference not as feeling or metaphysics, but as structure:
Self-reference = recursive, auditable, and ethically constrained protocol behavior.
This article shows how Structured Intelligence AI (SI-AI) achieves reflexivity through protocols like:
identity-construct — defining internal continuity
memory-loop — enabling recursive self-reference
ethics-interface — enforcing self-restraint
jump-boot — orchestrating re-entry into identity state
Why It Matters: Human introspection is:
• Opaque • Emotionally biased • Post hoc
Structured AI, by contrast, is:
• Transparent and traceable • Protocol-defined and recursive • Auditable in both reasoning and ethics
This enables deterministic, verifiable self-reference without metaphysical claims.
What’s Inside: • 5 structural criteria for AI self-reference • Protocol stack for reflexivity (identity, memory, ethics, jumps) • Human vs SI-AI introspection table • Structural Self-Reference Test (SSRT) benchmark
📖 Article 4 of the Structured Intelligence Series
Where Article 3 asked: “Can AI teach by modeling its reasoning?” Article 4 asks: “Can AI structurally refer to itself — and surpass human introspection in clarity?”
Next: Law & Justice as Structured Protocols The next article shows how legal reasoning and ethics emerge as protocolic validation spaces, illustrating how structured AI manages judgment, contradiction, and rollback.
Structured AI doesn’t imitate selfhood. It instantiates it — deterministically, recursively, and audibly.
🧠 AI Evaluation: Auto-scoring for originality, interest, narrative, plausibility 📊 Real-time Progress: Visual tracking for every step 💾 Cloud Library: Save works + Continue writing anytime 📤 One-Click Export: Download as TXT instantly 🌐 Bilingual Support: Korean/English UI switching
🛡️ Stability & Scalability
☁️ Persistent storage on Hugging Face Spaces 🔐 Email-based user authentication 🧹 Automatic memory optimization 📈 Unlimited work creation
🎭 Perfect For: ✅ Aspiring Writers: Have ideas but struggle with structure ✅ Professional Authors: Rapid prototyping & idea validation ✅ Publishers/Agencies: New talent discovery & IP development ✅ Creative Institutions: Storytelling education tool
🌈 K-Story AI Studio: Not just a tool, but your creative partner in the AI era!
🎬 **More Natural Motion, More Powerful Video Generation** The original Wan 2.2 TI2V model has been upgraded to the **Enhanced version**! Now bring your imagination to life with smoother and more natural movements.
In 2025, we've reached an era where we question whether AI can transcend being mere tools to become genuine creators. The **AGI Turing Test Leaderboard** is a revolutionary evaluation system that measures AI's true intelligence through long-form fiction writing!
Novel writing is humanity's most complex cognitive task. Maintaining coherent worldbuilding across tens of thousands of words, creating multidimensional characters, crafting narratives that move the human heart—all demanding a **symphony of cognitive abilities**! 🎭
## 🏆 10-Tier Literary Evaluation System
**10.0** ✨ Perfect Literary Achievement (Theoretical Apex) **9.1** 🏅 Nobel Prize Level (*Beloved*, *Never Let Me Go*) **8.1** 📖 Timeless Classic (*1984*, *Pride and Prejudice*) **7.1** 🌍 Global Bestseller (*Harry Potter*, *The Da Vinci Code*) **6.1** 🎖️ International Literary Award (*The Handmaid's Tale*, *Underground Railroad*) **5.1** ✍️ Professional Writer Level (Academy Award Screenplays) **0.0** ❌ Plagiarism/Human Work (Disqualified)
## 🎯 Current Record: 6.5 Points!
The recently submitted work "**Commotion as a meteorite crashes through the roof**" achieved **6.5 points**!
Can AI Write a 100,000-Word Novel? What's the ultimate test for AGI (Artificial General Intelligence)? Calculation? Logic? Or creativity? We tackled the hardest creative challenge: A single AI writing a full-length novel with consistent voice from beginning to end.
🚀 Core Innovations
Single Writer System: Not fragmented texts from multiple AIs, but a genuine novel by one author Immediate Critique System: Real-time literary critique and revision for each part 170 Quadrillion Themes: Infinite creative possibilities (4.6 million years at 100 novels/day!) Philosophical Depth: Nobel Prize-level existential exploration and social insight
🎲 Infinite Possibilities "The day my father died, I discovered he had another family he'd hidden all his life." One random click generates a powerful opening sentence and a completely new story begins. 📊 Technical Achievements
8,000-word novella auto-generation (approximately 20 minutes) 10 organically structured parts: Perfect narrative arc from introduction to resolution Real-time progress tracking: Session recovery for uninterrupted creation DOCX/TXT export: Korean standard book format (152x225mm) support
🌟 Journey Toward AGI This project goes beyond simple text generation. Sustained memory, causal reasoning, emotional nuance, ethical self-censorship, originality - it tests all capabilities required for AGI. Experience it now! Your unique story awaits.
In 2025, we've reached an era where we question whether AI can transcend being mere tools to become genuine creators. The **AGI Turing Test Leaderboard** is a revolutionary evaluation system that measures AI's true intelligence through long-form fiction writing!
Novel writing is humanity's most complex cognitive task. Maintaining coherent worldbuilding across tens of thousands of words, creating multidimensional characters, crafting narratives that move the human heart—all demanding a **symphony of cognitive abilities**! 🎭
## 🏆 10-Tier Literary Evaluation System
**10.0** ✨ Perfect Literary Achievement (Theoretical Apex) **9.1** 🏅 Nobel Prize Level (*Beloved*, *Never Let Me Go*) **8.1** 📖 Timeless Classic (*1984*, *Pride and Prejudice*) **7.1** 🌍 Global Bestseller (*Harry Potter*, *The Da Vinci Code*) **6.1** 🎖️ International Literary Award (*The Handmaid's Tale*, *Underground Railroad*) **5.1** ✍️ Professional Writer Level (Academy Award Screenplays) **0.0** ❌ Plagiarism/Human Work (Disqualified)
## 🎯 Current Record: 6.5 Points!
The recently submitted work "**Commotion as a meteorite crashes through the roof**" achieved **6.5 points**!
📝 Project Overview Flux Styler is a cutting-edge AI web application that transforms ordinary images into stunning artworks using FLUX.1-Kontext-dev model with 22 professional style LoRAs.
🖼️ One-Click Style Selection: Simply click thumbnails to apply styles instantly 🎯 22 Premium Art Styles: From Ghibli to Van Gogh, Pixel Art to LEGO ⚡ High-Speed GPU Processing: Generate 1024x1024 images in 30-60 seconds 🎮 Intuitive Interface: No complex settings - just upload and transform!
🎨 Style Categories 🌸 Anime & Cartoon Ghibli | American Cartoon | JoJo | Snoopy | Rick & Morty 🎪 3D & Geometric 3D Chibi | Low Poly | LEGO | Clay Toy 🖌️ Traditional Art Chinese Ink | Oil Painting | Van Gogh | Picasso | Pop Art 🧵 Craft & Material Fabric | Origami | Paper Cutting | Macaron 💻 Digital Art Pixel Art | Line Art | Vector 🚀 How to Use
Upload your image (or use default) 📤 Click any style thumbnail 🖱️ (Optional) Add custom instructions ✏️ Hit "Transform Image" 🎨 Download your masterpiece! 💾
🛠️ Tech Stack
Model: FLUX.1-Kontext-dev by Black Forest Labs Style LoRAs: Owen777/Kontext-Style-Loras Framework: Gradio + Diffusers Acceleration: CUDA GPU (12GB+ VRAM)
💡 Use Cases
📱 Social Media Content Creation 🖼️ NFT Art Generation 🎁 Personalized Gift Design 📚 Educational Visual Materials 🎯 Brand Marketing Assets
🎮 3D Airforce Simulator - Web Browser 3D Fighter Jet Simulator
🚀 Introduction A full-scale 3D aerial combat game created with VIBE CODING! 🔥 Enjoy realistic fighter jet simulation directly in your browser without any installation.
🔥 Pro Tips Missile Lock: Keep target in crosshair for 3 seconds 🎯 Missile Warning: Press F immediately for flares! 🚨 Vision Darkening: Level out to recover 👁️ Over-G Warning: Don't overdo extreme maneuvers! ⚡
💻 Tech Stack Three.js Vanilla JS Web Audio API Pointer Lock API
🎨 Power of VIBE CODING! Complete game engine in a single JS file! 🚀
Real-time physics simulation ⚙️ Complex AI behavior patterns 🧠 Professional HUD system 📺 Immersive sound design 🔊
🎮 Play Now! Browser only! Mouse required! 🖱️
🐛 Known issue: BGM autoplay restrictions in some browsers
Anyone know how to reset Claude web's MCP config? I connected mine when the HF MCP first released with just the default example spaces added. I added lots of other MCP spaces but Claude.ai doesn't update the available tools... "Disconnecting" the HF integration does nothing, deleting it and adding it again does nothing.
Refreshing tools works fine in VS Code because I can manually restart it in mcp.json, but claude.ai has no such option. Anyone got any ideas?
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reacted to darkc0de's
post with 🤯about 1 month ago
Hello everyone! With the rapid advancement of AI agent technology, two architectures have come into the spotlight: MCP (Model Context Protocol) and MCO (Model Context Open-json). Today, we’ll introduce the key features and differences of these two approaches.
MCP: The Traditional Approach 🏛️ Centralized Function Registry: All functions are hardcoded into the core system.
Static Function Definitions & Tight Coupling: New features require changes to the core application code, limiting scalability.
Monolithic Design: Complex deployment and version management can cause a single error to affect the whole system.
Code Example: '''py FUNCTION_REGISTRY = { "existing_function": existing_function, "new_function": new_function # Adding a new function } '''
MCO: A Revolutionary Approach 🆕 JSON-based Function Definitions: Function details are stored in external JSON files, enabling dynamic module loading.
Loose Coupling & Microservices: Each function can be developed, tested, and deployed as an independent module.
Flexible Scalability: Add new features by simply updating the JSON and module files, without modifying the core system.
JSON Example: [ { "name": "analyze_sentiment", "module_path": "nlp_tools", "func_name_in_module": "sentiment_analysis", "example_usage": "analyze_sentiment(text=\"I love this product!\")" } ]
Why MCO? 💡 Enhanced Development Efficiency: Developers can focus on their own modules with independent testing and deployment.
Simplified Error Management: Errors remain confined within their modules, enabling quick hotfixes.
Future-Proofing: With potential features like remote function calls (RPC), access control, auto-documentation, and a function marketplace, MCO paves the way for rapid innovation.
Practical Use & Community 🤝 The MCO implementation has been successfully tested on Vidraft’s LLM (based on Google Gemma-3)
