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cutechicken

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liked a model about 3 hours ago
openfree/claude-monet
liked a Space about 17 hours ago
ginigen/CANVAS-o3
reacted to ginipick's post with šŸ˜Ž about 20 hours ago
šŸŽØ GiniGen Canvas-o3: Intelligent AI-Powered Image Editing Platform Transform your images with precision using our next-generation tool that lets you extract anything from text to objects with simple natural language commands! šŸš€ šŸ“Œ Key Differentiators: Intelligent Object Recognition & Extraction ā€¢ Freedom to select any target (text, logos, objects) ā€¢ Simple extraction via natural language commands ("dog", "signboard", "text") ā€¢ Ultra-precise segmentation powered by GroundingDINO + SAM Advanced Background Processing ā€¢ AI-generated custom backgrounds for extracted objects ā€¢ Intuitive object size/position adjustment ā€¢ Multiple aspect ratio support (1:1, 16:9, 9:16, 4:3) Progressive Text Integration ā€¢ Dual text placement: over or behind images ā€¢ Multi-language font support ā€¢ Real-time font style/size/color/opacity adjustment šŸŽÆ Use Cases: Extract logos from product images Isolate text from signboards Select specific objects from scenes Combine extracted objects with new backgrounds Layer text in front of or behind images šŸ’« Technical Features: Natural language-based object detection Real-time image processing GPU acceleration & memory optimization User-friendly interface šŸŽ‰ Key Benefits: User Simplicity: Natural language commands for object extraction High Precision: AI-powered accurate object recognition Versatility: From basic editing to advanced content creation Real-Time Processing: Instant result visualization Experience the new paradigm of image editing with GiniGen Canvas-o3: Seamless integration of multiple editing functions Professional-grade results with consumer-grade ease Perfect for social media, e-commerce, and design professionals Whether you're extracting text from complex backgrounds or creating sophisticated visual content, GiniGen Canvas-o3 provides the precision and flexibility you need for modern image editing! GO! https://huggingface.co./spaces/ginigen/CANVAS-o3
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KAISAR's profile picture Hugging Face Discord Community's profile picture VIDraft's profile picture

Posts 3

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2820
šŸš€ RAGOndevice: High-Performance Local AI Document Analysis Assistant
šŸ’« Core Value
RAGOndevice is a high-performance AI system running locally without cloud dependency. Using CohereForAI's optimized 7B model, it enables professional-grade document analysis on standard PCs. āœØ
šŸŒŸ Ondevice AI Advantages
1. šŸ”‹ Efficient Resource Utilization

šŸŽÆ Optimized 7B Model: Runs on standard PCs
āš” Local Processing: Instant response without cloud
šŸ’» Low-Spec Compatible: Performs well on regular GPUs
šŸ”„ Optimized Memory: Ensures stable operation

2. šŸ›”ļø Data Security & Cost Efficiency

šŸ”’ Complete Privacy: No external data transmission
šŸŒ Offline Operation: No internet required
šŸ’° No Subscription: One-time installation
āš™ļø Resource Optimization: Uses existing hardware

šŸŽ® Key Features
1. šŸ“Š Powerful Document Analysis

šŸ“ Multi-Format Support: TXT, CSV, PDF, Parquet
šŸ§  Intelligent Analysis: Automatic structure recognition
šŸ‘ļø OCR Support: Advanced PDF text extraction
šŸ’¬ Real-time Chat: Natural language interaction

2. šŸ” Local RAG System

šŸŽÆ Efficient Search: TF-IDF based local search
šŸ§© Context Understanding: Accurate information retrieval
šŸ“š Wikipedia Integration: Rich background knowledge

šŸŽÆ Use Cases

šŸ¢ Enterprise: Secure confidential document processing
šŸ”¬ Personal Research: Private data analysis
šŸ“š Education: Personal learning material analysis
šŸ’» Development: Local codebase analysis

ā­ Differentiators

šŸƒā€ā™‚ļø Independent Operation: Zero cloud dependency
āš” Instant Response: No network latency
šŸ” Complete Security: Full data control
šŸ’Ž Cost Efficiency: No ongoing costs

šŸ”® Future Plans

šŸš€ Enhanced model optimization
šŸ“š Local knowledge base expansion
āš” Hardware optimization
šŸ“ Extended file support


šŸŒŸ RAGOndevice democratizes high-performance AI, providing the optimal local AI solution for security-sensitive environments. šŸš€

šŸ”„ Power of Local AI: Experience enterprise-grade AI capabilities right on your device!

VIDraft/RAGOndevice
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3460
šŸŽ® Introduction to the World's First 3D Tank Game Created Solely with Generative AI šŸš€
The advancement of AI technology is revolutionizing game development paradigms. I embarked on a challenge to create a 3D tank game using "only AI assistance," pushing the boundaries of what's possible in AI-driven game development. šŸ¤–
Following the success of my first 2D tank game ( cutechicken/tankwar) šŸŽÆ, I ventured into the more challenging realm of 3D FPS game development. Remarkably, using Hugging Face's AI tool ( VIDraft/mouse1), the basic game framework was generated in just one minute āš”. The 3D modeling ( ginipick/SORA-3D) and sound effects ( fantaxy/Sound-AI-SFX) were also easily created with AI assistance.
The resulting game ( cutechicken/TankWar3D) represents arguably the world's first 3D FPS game created primarily with generative AI. 90% was accomplished through AI capabilities, with the remaining 10% comprising my post-processing work. šŸŽ‰
Key Technical Features: šŸ› ļø

Complete 3D rendering system using Three.js šŸ–„ļø
Real-time physics-based collision detection and handling šŸ’„
Dynamic shadow and lighting system ā˜€ļø
Real-time radar and enemy tracking system šŸŽÆ
Advanced particle effects system (explosions, smoke, fire) šŸ’«
Dynamic sound system (engine, firing, explosion sounds) šŸ”Š
AI-driven enemy strategy system (pursuit, evasion, combat) šŸ¤–
Terrain-based tank tilt adjustment šŸŒ
Real-time crosshair targeting system šŸŽÆ
Dynamic UI system (health bars, ammo, score) šŸ“Š

Technical Implementation: āš™ļø

Physics Engine: šŸŽ³
Custom collision detection system
Dynamic obstacle handling
Real-time terrain interaction


AI Systems: šŸ§ 
State-based AI behavior patterns
Dynamic pathfinding
Tactical decision-making system

Graphics: šŸŽØ
PBR-based rendering
Dynamic particle system
Real-time shadow mapping

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