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prithivMLmods 
posted an update about 10 hours ago
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Dropped the HeadshotX : a super-realistic headshot adapter for Qwen/Qwen-Image, an image generation model by Qwen. It is an advanced LoRA adaptation of the Qwen-Image model and an upgraded version of prithivMLmods/Qwen-Image-Studio-Realism, offering more precise portrait rendering with a strong focus on realism. The model was trained on diverse face types from across the world, labeled with florence2-en and caption-optimized using prithivMLmods/DeepCaption-VLA-7B. 11(types) × 5 different face types: Asian, Hispanic, Caucasian, Latina, Middle Eastern, etc.

⮞ Model🤗: prithivMLmods/Qwen-Image-HeadshotX

⮞ The Previous Adapter (LoRA): prithivMLmods/Qwen-Image-Studio-Realism

⮞ Collection: prithivMLmods/qwen-image-exp-lora-68a978fe11400bc3165b0c4d

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To know more about it, visit the app page or the respective model page!!
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prithivMLmods 
posted an update 1 day ago
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Comparing: DeepCaption-VLA-7B, built on Qwen2.5-VL-7B-Instruct, is tailored for image captioning and vision-language attribution, focusing on precise, descriptive captions of visual properties, object attributes, and scene details. In contrast, Qwen2.5-VL-7B-Abliterated-Caption-it is fine-tuned for abliterated captioning, generating highly detailed descriptions across diverse visual categories.

Models🤗
✦ DeepCaption-VLA-7B : prithivMLmods/DeepCaption-VLA-7B
✦ Qwen2.5-VL-7B-Abliterated-Caption-it : prithivMLmods/Qwen2.5-VL-7B-Abliterated-Caption-it

Spaces⛵
➜ VisionScope-R2 : prithivMLmods/VisionScope-R2
➜ Qwen2.5-VL-Outpost : prithivMLmods/Qwen2.5-VL-Outpost

Collection🗞️
DeepCaption attr. : prithivMLmods/deepcaption-attr-68b041172ebcb867e45c556a
VL Abliterated-Caption : prithivMLmods/vl-abliterated-caption-68a0443b63182e97a15c47a3
Multimodal VLMs - Until July'25 : prithivMLmods/multimodal-vlms-until-july25-688312e6b840e1e156f13027
Multimodal VLMs - Aug'25 : prithivMLmods/multimodal-vlms-until-july25-688312e6b840e1e156f13027

GitHub↗️
> DeepCaption-VLA-7B [4bit-notebook demo] : https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/DeepCaption-VLA-7B%5B4bit%20-%20notebook%20demo%5D/DeepCaption-VLA-7B.ipynb
> Qwen2.5-VL-3B-Abliterated-Caption-it(caption) : https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/Qwen2.5-VL-3B-Abliterated-Caption-it(caption)/Qwen2_5_VL_3B_Abliterated_Caption_it.ipynb

The community GPU grant was given by Hugging Face — special thanks to them. 🤗🚀

To know more about it, visit the app page or the respective model page!!
prithivMLmods 
posted an update 5 days ago
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FastVLMs by Apple are the talk of the week for edge device VLMs and also for consumer-grade VLMs on the Hub. They have some impressive demos available on the Hub for live captioning and inference tasks. Meanwhile, I’m still exploring one of the coolest edge-device multimodal releases—Liquid AI’s LFM2-VL (450M and 1.6B). I’ve also made a live camera video inference demo, which is capable of running on Colab’s free-tier T4 GPU.

🤗Live Captioning Notebooks:
➠ LiquidAI LFM2 VL 1.6B Live Cam: https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/LiquidAI-LFM2-VL-Live-Cam/LiquidAI_LFM2_VL_1_6B_Live_Cam.ipynb

➠ LiquidAI LFM2 VL 450M Live Cam: https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/LiquidAI-LFM2-VL-Live-Cam/LiquidAI_LFM2_VL_450M_Live_Cam.ipynb

✨I also made a demo for the FastVLM Live Captioning Notebook.
➠ FastVLM 0.5B Live Cam: https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/Apple-FastVLM-0.5B-Live-Cam/apple_FastVLM_0_5B_live_cam.ipynb

↗️For more notebooks, kindly visit the following repositories.
➠ Multimodal Outpost Notebooks: https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks

Feel free to fork, modify, and explore!
openfree 
posted an update 7 days ago
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🔄 GitHub ↔️ HuggingFace Bidirectional Repository Converter + AI Auto Interface Generation

🎯 Three Magic Features in One Click
Move GitHub repositories to HuggingFace Spaces and Spaces back to GitHub freely, while AI automatically creates web interfaces for you.

openfree/Github-Transfer

🧠 AI Perfectly Understands Your Code
Project DNA Analysis
When you upload a repository, AI scans the entire structure. It comprehensively analyzes dependencies in requirements.txt, descriptions in README, code patterns, and model files to understand the essence of your project.
Auto-Generated Custom Interface
Computer vision projects transform into image upload and visualization interfaces, NLP projects into text input and generation options, audio projects into recording and waveform displays. Not templates, but optimized custom UI for your project.
LLM Fine-tunes Every Detail
Fireworks AI's large language model carefully configures parameter slider ranges, input validation, error handling, and result formatting. The demo looks as polished as if an experienced developer created it.
🔄 The Power of Bidirectional Conversion
GitHub to HuggingFace
A model completed on GitHub in the morning becomes a live web demo shared at lunch. AI automatically generates the Gradio interface, eliminating the need for separate frontend development.
HuggingFace to GitHub
Code experimented and improved in Spaces exports to GitHub for version control in the evening. Collaborate with team members through PRs and connect to CI/CD pipelines.

💡 Experience the Real Conversion Magic
🚀 AI Smartly Resolves Dependency Conflicts
✨ Real Automation That Saves Developer Time

🎬 You develop, AI deploys and demos!
Move freely between GitHub and HuggingFace, showcasing your projects with perfect AI-generated interfaces 🚀
prithivMLmods 
posted an update 9 days ago
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Introducing prithivMLmods/DeepCaption-VLA-7B, a multimodal VLM designed for reasoning with long-shot captions (Captioning and Vision-Language Attribution). It focuses on defining visual properties, object attributes, and scene details across a wide spectrum of images and aspect ratios, generating attribute-rich image captions. The model supports creative, artistic, and technical applications that require detailed descriptions. 🤗🔥

✦︎ Models: prithivMLmods/DeepCaption-VLA-7B, also includes prithivMLmods/DeepAttriCap-VLA-3B, an experimental model for vision-language attribution.

✦︎ Try the demo here: prithivMLmods/VisionScope-R2

✦︎ Try it now on Google Colab, with support for T4 GPUs in 4-bit quant_type: https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/DeepCaption-VLA-7B%5B4bit%20-%20notebook%20demo%5D/DeepCaption-VLA-7B.ipynb

✦︎ Collection: prithivMLmods/deepcaption-attr-68b041172ebcb867e45c556a

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To know more about it, visit the model card of the respective model. !!
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ginipick 
posted an update 10 days ago
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🍌 Nano Banana + Video: AI Image Style Transfer & Video Generation Tool

🎨 Key Features
1️⃣ Image Style Transfer

ginigen/Nano-Banana-Video

📸 Upload up to 2 images for style fusion
✨ High-quality image generation with Google Nano Banana model
🎭 Apply desired styles with text prompts

2️⃣ Video Generation

🎬 Convert generated images to videos
📐 Maintain original aspect ratio option
⏱️ Adjustable duration (1-4 seconds)

🚀 How to Use
Step-by-Step Guide
Step 1: Image Generation 🖼️

Enter style description
Upload 1-2 images (optional)
Click "Generate Magic ✨"

Step 2: Video Creation 📹

Send generated image to video tab
Set animation style
Generate video!

💡 Use Cases

🏞️ Transform landscape photos into artistic masterpieces
🤖 Bring static images to life
🎨 Mix styles from two different images
📱 Create short videos for social media

⚡ Tech Stack
Google Nano Banana Stable Video Diffusion Gradio Replicate API

#AIVideoGenerator #ImageToVideoConverter #StyleTransferAI #GoogleNanoBanana #StableVideoDiffusion #AIAnimationTool #TextToVideo #ImageAnimationSoftware #AIArtGenerator #VideoCreationTool #MachineLearningVideo #DeepLearningAnimation #HuggingFaceSpaces #ReplicateAPI #GradioApplication #ZeroGPUComputing #AIStyleMixing #AutomatedVideoProduction #NeuralStyleTransfer #AIPoweredCreativity
prithivMLmods 
posted an update 11 days ago
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OpenGVLab's InternVL3.5 is a new family of open-source multimodal models that have advanced versatility, reasoning, and efficiency. I have created 𝐝𝐞𝐦𝐨 𝐧𝐨𝐭𝐞𝐛𝐨𝐨𝐤𝐬 for models ranging from 1B to 4B parameters, available in multiple versions (MPO, Instruct, Pre-trained) and in both "thinking" and "non-thinking" settings, with experimental compatibility for 𝐓𝐞𝐬𝐥𝐚 𝐓𝟒 GPUs.

➠InternVL3_5_2B_MPO_Thinking: https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/InternVL-3.5-Notebook/InternVL3.5-Thinking/1_InternVL3_5_2B_MPO_Thinking/1_InternVL3_5_2B_MPO_Thinking.ipynb
➠InternVL3_5_1B_Instruct_Thinking: https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/InternVL-3.5-Notebook/InternVL3.5-Thinking/2_InternVL3_5_1B_Instruct_Thinking/2_InternVL3_5_1B_Instruct_Thinking.ipynb

➠InternVL3_5-1B-MPO: https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/InternVL-3.5-Notebook/InternVL3_5-MPO/InternVL3_5-1B-MPO/InternVL3_5_1B_MPO.ipynb
➠InternVL3_5-2B-MPO: https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/tree/main/InternVL-3.5-Notebook/InternVL3_5-MPO/InternVL3_5-2B-MPO

➠InternVL3_5-1B-Instruct: https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/InternVL-3.5-Notebook/InternVL3_5-Instruct/InternVL3_5-1B-Instruct/InternVL3_5_1B_Instruct.ipynb
➠InternVL3_5-2B-Instruct: https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/InternVL-3.5-Notebook/InternVL3_5-Instruct/InternVL3_5-2B-Instruct/InternVL3_5_2B_Instruct.ipynb

➠InternVL3_5-1B-Pretrained: https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/InternVL-3.5-Notebook/InternVL3_5-Pretrained/InternVL3_5-1B-Pretrained/InternVL3_5_1B_Pretrained.ipynb
➠InternVL3_5-2B-Pretrained: https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/InternVL-3.5-Notebook/InternVL3_5-Pretrained/InternVL3_5-2B-Pretrained/InternVL3_5_2B_Pretrained.ipynb

no flash_attention
openfree 
posted an update 11 days ago
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🍌 Nano Banana: Google AI Completely Free!

🎉 Finally, Google's Nano Banana AI is available for everyone - absolutely FREE!

🎯 Choose Your Perfect Version!
🌟 Free Nano Banana - For Everyone
Transform images with AI - It's that simple!

🚀 Start in 3 Seconds
1️⃣ Click Here 2️⃣ Upload Image 3️⃣ Enter Style → Done! ✨
No Sign-up ❌ | No Payment ❌ | No Ads ❌ | Just Free ⭕

📸 Simple drag & drop upload
✏️ Describe styles in any language
⚡ Results in under 30 seconds
🎨 Perfect for SNS, blogs, presentations

👉 Start Now: openfree/Free-Nano-Banana
🔍 Nano Banana Upscale - For Designers
Professional high-resolution output when you need it!

🖼️ 4x resolution upscaling (Real-ESRGAN)
🎯 Optimized for print & large displays
💎 Premium quality with preserved details
📐 Professional quality without Photoshop

👉 Create in HD: openfree/Nano-Banana-Upscale
💻 Nano Banana API - For Developers
Power your app with AI!

🔧 Instant RESTful API integration
📦 Python, JS, Java code examples included
⚙️ Batch processing & automation support
🚀 Unlimited usage with free API key

👉 Get API Access: aiqtech/Nano-Banana-API
🔗 Powered by Google's Official Model via Replicate API!
📌 100% Transparent Open Source
✨ We've integrated directly with Google's official Nano Banana model through Replicate API!

🔓 Full source code available on GitHub
📝 Complete Gradio interface implementation
🛠️ Detailed Replicate integration documentation
🎯 Fork and create your own version anytime

🚀 Start Your Journey Today!
Democratizing AI Technology - Built Together by the Community 💜
Made with ❤️ by Openfree AI Community
All code is open source. Let's grow together!
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prithivMLmods 
posted an update 12 days ago
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OpenGVLab's InternVL3_5-2B-MPO [Mixed Preference Optimization (MPO)] is a compact vision-language model in the InternVL3.5 series. You can now experience it in the Tiny VLMs Lab, an app featuring 15+ multimodal VLMs ranging from 250M to 4B parameters. These models support tasks such as OCR, reasoning, single-shot answering with small models, and captioning (including ablated variants), across a broad range of visual categories. They are also capable of handling images with complex, sensitive, or nuanced content, while adapting to varying aspect ratios and resolutions.

✨ Space/App : prithivMLmods/Tiny-VLMs-Lab
🫙 Model : OpenGVLab/InternVL3_5-2B-MPO
↗️ Collection: OpenGVLab/internvl35-68ac87bd52ebe953485927fb
🗞️ Paper : https://arxiv.org/pdf/2508.18265
↗️ Multimodal Space Collection : prithivMLmods/multimodal-implementations-67c9982ea04b39f0608badb0

To learn more, visit the relevant spaces, collections, and model cards.
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ginipick 
posted an update 12 days ago
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🎉 Fashion Fit 360: The New Standard in AI Virtual Try-On!

🚀 Now Live and Free to Use!Say goodbye to online shopping uncertainty - "Will this look good on me?" - with our revolutionary solution!Fashion Fit 360 is a cutting-edge AI-powered virtual fitting service that transforms your fashion shopping experience.

LINK: ginigen/Fashion-Fit360

✨ Core Features
🔄 360-Degree Multi-Pose Generation
Transform a single front-facing photo into 6 different viewing angles!
Front, side, and back views for complete visualization
Experience a real fitting room mirror effect
Check fit and style from every perspective

👗 15 Fashion Item Categories
Apparel: Tops, bottoms, dresses
Jewelry: Necklaces, earrings, rings, bracelets
Accessories: Sunglasses, eyewear, hats, ties, bow ties, belts
Essentials: Bags, shoes

🎯 Perfect For:
🛍️ Online Shopping Enthusiasts: Preview before purchase - zero return hassles!
💍 Jewelry Lovers: Virtually try expensive pieces before investing
🎁 Thoughtful Gift-Givers: Test items on recipient photos beforehand
👔 Business Professionals: Preview suit and tie combinations
👗 Fashion Designers: Rapidly visualize design samples

💡 Why Fashion Fit 360?Fashion Fit 360 delivers innovation beyond conventional services.While most virtual fitting platforms only support clothing, we offer complete support for 15 accessory types. Unlike competitors providing only front views, Fashion Fit 360 generates 6 poses for true 360-degree visualization, ensuring you can verify actual fit perfectly.Performance is unmatched - get results in under 20 seconds with one-click simplicity and no complex configurations. Plus, download all generated images as a convenient ZIP file, eliminating tedious individual saves.

🔥 Key Differentiators
🎨 360-Degree Multi-Pose Image Generation
🤖 FLUX.1-Fill based OmniTry integrated model with Flux.1 KONTEXT LoRA technology
openfree 
posted an update 12 days ago
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🔒 Ansim Blur: Privacy-First Face Blurring for the AI Era

🚨 The Privacy Crisis is Now
Smart CCTVs 📹, delivery robots 🤖, and autonomous vehicles 🚗 are everywhere. Your face is being captured, transmitted, and stored without your knowledge or consent.

openfree/Face-blurring

The privacy threat is real:
24/7 surveillance cameras recording your every move
Companies harvesting facial biometric data at scale
Your face becoming a commodity without your permission

💡 The Solution: Ansim Blur
Real-time face anonymization powered by YOLOv8 🎯
✅ Process images, videos, and live streams
✅ Automatic GPU/CPU detection for universal deployment
✅ Choose between Gaussian blur or mosaic pixelation
✅ Fine-tune detection sensitivity for your needs
✅ Preserve audio tracks in video processing
🛡️ Real-World Applications
Enterprise Use Cases

Privacy compliance for robotics and drone footage
CCTV feed anonymization for regulatory requirements
Customer data protection in retail analytics

Personal Protection

Anonymize bystanders before sharing content online
Protect family members' privacy in shared videos
Avoid portrait rights issues in content creation

📊 Technical Specifications

Model: YOLOv8-face (optimized variant)
Performance: 30fps real-time processing on RTX 3060
Accuracy: 95%+ face detection rate
Formats: JPG, PNG, MP4, AVI, MOV

🌍 Why This Matters
"Face blurring will become mandatory for all public-facing cameras"
With GDPR in Europe, CCPA in California, and similar regulations worldwide, biometric data protection is becoming non-negotiable. Soon, every camera-equipped system will require built-in face anonymization capabilities.
🤝 Join the Movement
Why open source?
Because privacy isn't a premium feature—it's a fundamental right.

As technology advances, so must our commitment to privacy protection 🛡️
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prithivMLmods 
posted an update 13 days ago
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Dropping new adapters for Qwen-Image, including Qwen-Image-Studio-Realism, Qwen-Image-Anime-LoRA, Qwen-Image-Sketch-Smudge, Qwen-Image-Synthetic-Face, and Qwen-Image-Fragmented-Portraiture, with various style intermix compatibilities. For more details, visit the model card.

⤷ Studio Realism : prithivMLmods/Qwen-Image-Studio-Realism
⤷ Image Anime LoRA : prithivMLmods/Qwen-Image-Anime-LoRA
⤷ Sketch Smudge : prithivMLmods/Qwen-Image-Sketch-Smudge
⤷ Synthetic Face : prithivMLmods/Qwen-Image-Synthetic-Face
⤷ Fragmented Portraiture : prithivMLmods/Qwen-Image-Fragmented-Portraiture

Try it here at
✦︎ Qwen-Image-LoRA-DLC : prithivMLmods/Qwen-Image-LoRA-DLC
✦︎ Qwen-Image-Diffusion : prithivMLmods/Qwen-Image-Diffusion

Collection
✦︎ Qwen-Image-Exp-LoRA : prithivMLmods/qwen-image-exp-lora-68a978fe11400bc3165b0c4d
✦︎ Image Gen Apps (Diffusion) - LastUpdated 08/18 : prithivMLmods/image-gen-apps-diffusion-lastupdated-08-18-68a2f4c5ef3e5e394eacc20a

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To know more, visit the following spaces, collections, and model cards.
openfree 
posted an update 13 days ago
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🤖 Global AI News Stream - 100% Unmanned AI News Automation Platform

🚀 Fully Automated News Generation with Just One Keyword!
Link: openfree/News-AI

🎯 Incredibly Simple: Just Enter a Keyword or URL!
✨ One Input, Complete Automation! ✨
Simply enter one keyword or one URL, and the system springs into action! 🚀 From web crawling to AI analysis, article writing, image generation, and auto-publishing - everything happens automatically.
Examples:

💬 Type "GPT-5" → Instant GPT-5 news article generation!
🔗 Paste "https://openai.com/blog/..." → Auto-extracts keywords from URL and creates related articles!
🎯 Enter "Tesla Bot" → Latest Tesla Bot developments instantly generated!

💎 Key Features - One Input, Everything Done!
🔍 Smart Keyword/URL Processing
Just type a keyword or paste any website URL! The system automatically extracts core keywords and gathers all relevant information to generate complete news articles. For URLs, it intelligently parses keywords from domains and paths.

🕷️ Instant Web Crawling
Based on your keyword or URL input, Brave Search API kicks in immediately! It collects real-time global AI news and automatically filters HOT news with relevance scores above 90 🔥 Just sit back and watch!

🧠 AI Analysis Starts Instantly
Within 3 seconds of keyword input, NLP analysis begins! It automatically analyzes collected data, verifies credible sources, and selects only the most relevant information. No complex setup needed - just your keyword!

✍️ One-Click Article Generation
Hit the "🔎 Generate Article" button and everything starts! Fireworks AI's GPT models create professional, natural articles based on your keyword. 500-800 words of polished content generated automatically.

🎨 Custom Image Auto-Generation
Flux-schnell AI automatically creates images perfectly matched to your keyword! High-quality visuals are generated automatically, tailored to the article category and content - no additional input needed.

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openfree 
posted an update 19 days ago
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🤖 AI-Generated 6-Nation Military Simulator in a Single HTML File

🚀 Project Highlight
A full-scale military strategy simulator that runs in a single HTML file! This AI-generated wargame implements real military equipment and tactical doctrines from 6 nations (🇰🇷,🇰🇵,🇺🇸,🇷🇺,🇺🇦,🇨🇳) using pure JavaScript only, without any external libraries.

openfree/WAR-Game-Simul

💡 Amazing Achievement of AI Auto-Generation

📁 Single File Magic
One-Click Launch: Just open the HTML file and play instantly
Zero Dependencies: No npm, webpack, or external libraries
Pure Vanilla JS: Implemented with Canvas API only, no frameworks
All-in-One: Rendering, physics engine, AI, and UI in a single file

🎮 Advanced Features AI Implemented
✅ Perlin Noise terrain generation algorithm
✅ Marching Squares contour rendering
✅ Lanchester combat equations
✅ A* pathfinding algorithm
✅ Real-time Line of Sight (LOS) calculations
✅ 40-second battlefield sound loop
🎖️ Implemented Military Systems
🔥 Real Weapon Systems from 6 Nations (100+ Units)

Real tanks: K2 Black Panther, M1A2 Abrams, T-90M
Attack helicopters: Apache, Ka-52, WZ-10
MLRS systems: HIMARS, Chunmoo, BM-21 Grad
Actual performance specs for each nation's unique equipment

⚔️ Realistic Combat Mechanics

Urban Warfare: 70% damage reduction for defenders, 2.5x road mobility
Mountain Combat: 20% range bonus from high ground, ridge defense bonus
Encirclement: Instant victory with 4+ units from 3+ directions
Real-time Combat: 10 engagement calculations per second

📊 Technical Achievement of AI-Generated Code
javascript// Everything in a single file!

🏆 New Standard for AI Wargame Generation
This project proves that AI can auto-generate complex military simulations in a single HTML file. It implements all core mechanics of AAA strategy games using pure JavaScript without any external dependencies.

#AIGenerated #SingleFile #Wargame #NoFramework #VanillaJS #ZeroDependency #HTML5Game #MilitarySimulator
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seawolf2357 
posted an update 19 days ago
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🎨 Open Nano-Banana: Revolution in Ultra-Fast AI Image Editing!

🚀 Introduction
**Open Nano-Banana** is an innovative image editing tool based on the Qwen-Image-Edit model. Experience amazing quality image editing in just 8 steps!

Heartsync/Nano-Banana

✨ Core Features

⚡ Lightning-Fast Editing
* **8-Step Generation**: Ultra-fast processing with Qwen-Image-Lightning LoRA
* **Real-time Editing**: 10x faster than conventional methods
* **GPU Optimization**: Maximized memory efficiency with xformers

🤖 AI Prompt Enhancement
* **Automatic Prompt Improvement**: Intelligent rewriting with Cerebras' Qwen3-235B model
* **Multilingual Support**: Auto-detection for Korean/Chinese/English
* **Context Understanding**: Sophisticated command generation aligned with image context

🎯 Versatile Editing Functions
✅ Add/Delete/Replace objects
✅ Text editing and style transformation
✅ Person editing (expressions, hairstyles)
✅ Vintage restoration and style conversion
✅ Background replacement and enhancement

🛠️ Tech Stack
* Base Model: Qwen-Image-Edit
* Acceleration: Qwen-Image-Lightning LoRA
* Prompt AI: Qwen3-235B (Cerebras)
* Framework: Gradio + Diffusers
* Optimization: bfloat16 precision

🌟 Why Open Nano-Banana?
* ⚡ Speed: Instant results with 8 steps
* 🎨 Quality: Perfect editing with Prompt AI
* 🔒 Security: Token-based secure processing
* 💜 Design: Beautiful gradient UI

🏷️ Tags
#image-editing #ai-image-generation #qwen-image-edit #image-to-image #diffusers
#gradio #huggingface-spaces #lightning-lora #prompt-engineering #cerebras
#multilingual #real-time-editing #gpu-optimization #open-source #computer-vision
#deep-learning #machine-learning #artificial-intelligence #image-processing #creative-ai
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prithivMLmods 
posted an update 20 days ago
openfree 
posted an update 21 days ago
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🧬 DNA Diffusion Suite: AI-Powered Revolution in Life Science Research

🚀 Transformative Innovation Through AI Technology
DNA Diffusion Suite is a next-generation platform that leverages cutting-edge Diffusion models to generate biologically meaningful DNA sequences. By reducing sequence design time from weeks to mere seconds, we're revolutionizing research productivity and accelerating scientific discovery.

VIDraft/DNA-Diffusion

💡 Real-World Benefits of AI Technology
🎯 Research Acceleration

Instant Hypothesis Testing: Pre-validate experimental designs with AI-generated sequence variants
Cost Reduction: Test hundreds of sequences virtually before expensive synthesis
Time Efficiency: 1000x faster sequence generation compared to manual design

🧠 Intelligent Sequence Optimization

Cell-Type Specific Learning: AI trained on real ChIP-seq data from K562, GM12878, and HepG2 cells
Context-Aware Generation: Fine-tune biological context with precision Guidance Scale control
Automated Pattern Discovery: Detect complex sequence motifs that humans might miss

📈 Educational Innovation

Real-Time Feedback: Students see immediate results while learning DNA structure and function
Unlimited Practice: Endless experimentation without cost constraints
Visual Understanding: Transform abstract concepts into tangible 3D experiences

⚡ Technical Excellence
🔧 Enterprise-Grade Stability

Automatic Fallback: Seamless CPU mode switching in non-GPU environments
Robust Error Recovery: Comprehensive exception handling ensures service continuity
Auto-Scaling: Leveraging Hugging Face Spaces infrastructure for dynamic scaling

🌐 Cloud-Native Architecture

Containerized: Docker-based consistent deployment environment
Microservices: Independent module updates without system downtime
RESTful API: Seamless integration with external systems

#AI #Diffusion #DNA #Bioinformatics #DeepLearning #WebGL #CloudNative #Research #Education #Innovation #OpenSource
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ginipick 
posted an update 21 days ago
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✨ HairPick | Preview Your Perfect Hair Transformation in 360° ✨

🎊 Free Trial for Hugging Face Launch! Hurry! ⏰
Hello! Introducing an innovative AI service that helps you choose the perfect hairstyle without any regrets before visiting the salon!

🎯 Try It Now
ginigen/Hair-Pick

🔄 What Makes HairPick Special? 360° Complete Preview!
Other hair simulators only show the front view? 😑

HairPick is different!
✅ Front + 4 random angles = Total 5 multi-angle images generated
✅ Perfect check from side profile 👤 diagonal 📐 back view 👥!
✅ 100+ trendy hairstyle library 💇‍♀️

💡 Highly Recommended For:
🎯 "I really don't want to fail this time!"
→ Check side volume and back lines thoroughly
🎯 "It's hard to explain exactly to my stylist"
→ Perfect communication with 360° result images!
🎯 "I have a profile photo/photoshoot coming up"
→ Preview your best look from every angle
🚀 Super Simple Usage (Just 1 Minute!)

1️⃣ One Selfie 📸
Take a front-facing photo in bright light (show your forehead and face outline clearly!)
2️⃣ Choose Your Style 💫
Select from 100+ options: short cuts, medium, long hair, layered, bangs, and more
3️⃣ Check 360° Results 🔄
Compare front + side + back + diagonal angles all at once!
4️⃣ Go to the Salon! ✂️
Save your favorite result → Show it to your stylist

📸 Pro Tips for Perfect Results!
💡 Lighting: Natural light or bright, even indoor lighting
💡 Angle: Camera at eye level, facing straight ahead
💡 Preparation: No hats❌ No sunglasses❌ Hair tucked behind ears⭕

🎁 Now's Your Chance!
"The era of deciding based on front view only is over!"
HairPick isn't just simple hair synthesis, it's a next-level AI hair simulator that predicts your actual appearance in 360°.

🔥 Limited free access for Hugging Face launch!
🔥 100+ latest trend styles!
🔥 ZERO failures with 360° perfect prediction!

✂️ Click before you cut! Take on the perfect hair transformation with HairPick! 🌟

#HairPick #AIHairSimulator #360HairPreview
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prithivMLmods 
posted an update 22 days ago
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Excited to introduce the Tiny VLMs Lab App for experiencing 15+ multimodal VLMs, ranging from a 250M parameter model to a 4B parameter model, for tasks like OCR, reasoning, small models for single-shot answering, and captioning (abliterated), across a broad range of visual categories including images with complex, sensitive, or nuanced content, while handling varying aspect ratios and resolutions.🧪

🤗 Space/App: prithivMLmods/Tiny-VLMs-Lab

✦︎ Also introducing prithivMLmods/Qwen2.5-VL-3B-Abliterated-Caption-it, tailored for Abliterated Captioning / Uncensored Image Captioning. This release comes as a lighter alternative to the existing Qwen2.5-VL-7B-Abliterated-Caption-it prithivMLmods/Qwen2.5-VL-7B-Abliterated-Caption-it model, making it usable on mid-range GPUs and even experimental on T4 GPUs.

✦︎ Collection: prithivMLmods/vl-abliterated-caption-68a0443b63182e97a15c47a3
✦︎ GitHub: https://github.com/PRITHIVSAKTHIUR/Tiny-VLMs-Lab
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To know more about it, visit the app page or the respective model page!!
prithivMLmods 
posted an update 25 days ago
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Try Liquid AI's all-new multimodal models: LFM2-VL-1.6B & LFM2-VL-450M! Demo with the Gradio UI and ReportLab support and both models are runnable on T4 GPU!

↗ LFM2-VL-1.6B-LiquidAI : https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/LFM2-VL-1.6B-LiquidAI/LFM2-VL-1.6B_ReportLab.ipynb

↗ LFM2-VL-450M-LiquidAI : https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/LFM2-VL-450M-LiquidAI/LFM2-VL-450M_ReportLab.ipynb

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To know more about it, visit the multimodal outpost notebooks !!
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