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reacted to seawolf2357's post with 🤗 about 8 hours ago

🔥 AgenticAI: The Ultimate Multimodal AI with 16 MBTI Girlfriend Personas! 🔥 Hello AI community! Today, our team is thrilled to introduce AgenticAI, an innovative open-source AI assistant that combines deep technical capabilities with uniquely personalized interaction. 💘 🛠️ MBTI 16 Types SPACES Collections link https://huggingface.co/collections/seawolf2357/heartsync-mbti-67f793d752ef1fa542e16560 ✨ 16 MBTI Girlfriend Personas Complete MBTI Implementation: All 16 MBTI female personas modeled after iconic characters (Dana Scully, Lara Croft, etc.) Persona Depth: Customize age groups and thinking patterns for hyper-personalized AI interactions Personality Consistency: Each MBTI type demonstrates consistent problem-solving approaches, conversation patterns, and emotional expressions 🚀 Cutting-Edge Multimodal Capabilities Integrated File Analysis: Deep analysis and cross-referencing of images, videos, CSV, PDF, and TXT files Advanced Image Understanding: Interprets complex diagrams, mathematical equations, charts, and tables Video Processing: Extracts key frames from videos and understands contextual meaning Document RAG: Intelligent analysis and summarization of PDF/CSV/TXT files 💡 Deep Research & Knowledge Enhancement Real-time Web Search: SerpHouse API integration for latest information retrieval and citation Deep Reasoning Chains: Step-by-step inference process for solving complex problems Academic Analysis: In-depth approach to mathematical problems, scientific questions, and data analysis Structured Knowledge Generation: Systematic code, data analysis, and report creation 🖼️ Creative Generation Engine FLUX Image Generation: Custom image creation reflecting the selected MBTI persona traits Data Visualization: Automatic generation of code for visualizing complex datasets Creative Writing: Story and scenario writing matching the selected persona's style

reacted to their post with 👍 about 8 hours ago

Agentic AI Era: Analyzing MCP vs MCO 🚀 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. https://huggingface.co/spaces/VIDraft/Agentic-AI-CHAT 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)

updated a collection about 11 hours ago

Agentic AI: Reasoning+Uncensored+Research

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reacted to seawolf2357's post with 🤗 about 8 hours ago

Post

6119

🔥 AgenticAI: The Ultimate Multimodal AI with 16 MBTI Girlfriend Personas! 🔥

Hello AI community! Today, our team is thrilled to introduce AgenticAI, an innovative open-source AI assistant that combines deep technical capabilities with uniquely personalized interaction. 💘

🛠️ MBTI 16 Types SPACES Collections link
seawolf2357/heartsync-mbti-67f793d752ef1fa542e16560

✨ 16 MBTI Girlfriend Personas

Complete MBTI Implementation: All 16 MBTI female personas modeled after iconic characters (Dana Scully, Lara Croft, etc.)
Persona Depth: Customize age groups and thinking patterns for hyper-personalized AI interactions
Personality Consistency: Each MBTI type demonstrates consistent problem-solving approaches, conversation patterns, and emotional expressions

🚀 Cutting-Edge Multimodal Capabilities

Integrated File Analysis: Deep analysis and cross-referencing of images, videos, CSV, PDF, and TXT files
Advanced Image Understanding: Interprets complex diagrams, mathematical equations, charts, and tables
Video Processing: Extracts key frames from videos and understands contextual meaning
Document RAG: Intelligent analysis and summarization of PDF/CSV/TXT files

💡 Deep Research & Knowledge Enhancement

Real-time Web Search: SerpHouse API integration for latest information retrieval and citation
Deep Reasoning Chains: Step-by-step inference process for solving complex problems
Academic Analysis: In-depth approach to mathematical problems, scientific questions, and data analysis
Structured Knowledge Generation: Systematic code, data analysis, and report creation

🖼️ Creative Generation Engine

FLUX Image Generation: Custom image creation reflecting the selected MBTI persona traits
Data Visualization: Automatic generation of code for visualizing complex datasets
Creative Writing: Story and scenario writing matching the selected persona's style

1 reply

reacted to their post with 👍 about 8 hours ago

Post

3987

Agentic AI Era: Analyzing MCP vs MCO 🚀

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.

VIDraft/Agentic-AI-CHAT

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)

reacted to their post with 🧠➕😎🤗 about 13 hours ago

Post

3987

Agentic AI Era: Analyzing MCP vs MCO 🚀

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.

VIDraft/Agentic-AI-CHAT

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)

reacted to their post with ❤️👀🚀🔥 1 day ago

Post

3987

Agentic AI Era: Analyzing MCP vs MCO 🚀

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.

VIDraft/Agentic-AI-CHAT

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)

posted an update 1 day ago

Post

3987

Agentic AI Era: Analyzing MCP vs MCO 🚀

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.

VIDraft/Agentic-AI-CHAT

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)

reacted to seawolf2357's post with ❤️ 2 days ago

Post

6119

🔥 AgenticAI: The Ultimate Multimodal AI with 16 MBTI Girlfriend Personas! 🔥

Hello AI community! Today, our team is thrilled to introduce AgenticAI, an innovative open-source AI assistant that combines deep technical capabilities with uniquely personalized interaction. 💘

🛠️ MBTI 16 Types SPACES Collections link
seawolf2357/heartsync-mbti-67f793d752ef1fa542e16560

✨ 16 MBTI Girlfriend Personas

Complete MBTI Implementation: All 16 MBTI female personas modeled after iconic characters (Dana Scully, Lara Croft, etc.)
Persona Depth: Customize age groups and thinking patterns for hyper-personalized AI interactions
Personality Consistency: Each MBTI type demonstrates consistent problem-solving approaches, conversation patterns, and emotional expressions

🚀 Cutting-Edge Multimodal Capabilities

Integrated File Analysis: Deep analysis and cross-referencing of images, videos, CSV, PDF, and TXT files
Advanced Image Understanding: Interprets complex diagrams, mathematical equations, charts, and tables
Video Processing: Extracts key frames from videos and understands contextual meaning
Document RAG: Intelligent analysis and summarization of PDF/CSV/TXT files

💡 Deep Research & Knowledge Enhancement

Real-time Web Search: SerpHouse API integration for latest information retrieval and citation
Deep Reasoning Chains: Step-by-step inference process for solving complex problems
Academic Analysis: In-depth approach to mathematical problems, scientific questions, and data analysis
Structured Knowledge Generation: Systematic code, data analysis, and report creation

🖼️ Creative Generation Engine

FLUX Image Generation: Custom image creation reflecting the selected MBTI persona traits
Data Visualization: Automatic generation of code for visualizing complex datasets
Creative Writing: Story and scenario writing matching the selected persona's style

1 reply

reacted to seawolf2357's post with 👀🚀🔥 4 days ago

Post

6119

🔥 AgenticAI: The Ultimate Multimodal AI with 16 MBTI Girlfriend Personas! 🔥

Hello AI community! Today, our team is thrilled to introduce AgenticAI, an innovative open-source AI assistant that combines deep technical capabilities with uniquely personalized interaction. 💘

🛠️ MBTI 16 Types SPACES Collections link
seawolf2357/heartsync-mbti-67f793d752ef1fa542e16560

✨ 16 MBTI Girlfriend Personas

Complete MBTI Implementation: All 16 MBTI female personas modeled after iconic characters (Dana Scully, Lara Croft, etc.)
Persona Depth: Customize age groups and thinking patterns for hyper-personalized AI interactions
Personality Consistency: Each MBTI type demonstrates consistent problem-solving approaches, conversation patterns, and emotional expressions

🚀 Cutting-Edge Multimodal Capabilities

Integrated File Analysis: Deep analysis and cross-referencing of images, videos, CSV, PDF, and TXT files
Advanced Image Understanding: Interprets complex diagrams, mathematical equations, charts, and tables
Video Processing: Extracts key frames from videos and understands contextual meaning
Document RAG: Intelligent analysis and summarization of PDF/CSV/TXT files

💡 Deep Research & Knowledge Enhancement

Real-time Web Search: SerpHouse API integration for latest information retrieval and citation
Deep Reasoning Chains: Step-by-step inference process for solving complex problems
Academic Analysis: In-depth approach to mathematical problems, scientific questions, and data analysis
Structured Knowledge Generation: Systematic code, data analysis, and report creation

🖼️ Creative Generation Engine

FLUX Image Generation: Custom image creation reflecting the selected MBTI persona traits
Data Visualization: Automatic generation of code for visualizing complex datasets
Creative Writing: Story and scenario writing matching the selected persona's style

1 reply

reacted to their post with 🤝 6 days ago

Post

8236

🔥 'Open Meme Studio': Your Creative Meme Factory 🎭✨

Hello everyone! Today I'm introducing 'Open Meme Studio', an amazing space where you can easily create and transform fun and original meme images. 🚀

VIDraft/Open-Meme-Studio

🎯 Taking Meme Creation to the Next Level!
This application leverages the powerful Kolors model and IP-Adapter-Plus to upgrade your meme-making abilities. Go beyond simple image editing and experience a completely new meme world powered by AI!

🛠️ Features You'll Love

📸 Transform and reinterpret existing meme templates
🎭 Freely change expressions and poses
👓 Add props (sunglasses, hats, etc.)
🏞️ Change backgrounds and composite characters
🎨 Apply various artistic styles

💪 Why 'Open Meme Studio' is So Effective

Fast Meme Generation: High-quality memes completed in seconds
Unlimited Creativity: Completely different results just by changing prompts
User-Friendly Interface: Simple prompt input and image upload is all you need
Fine-tuned Control: Adjust how much of the original image characteristics to preserve
Advanced User Options: Freely set seed values, resolution, number of steps, and more

🚀 Streamlined Meme Creation Process
Tasks that previously required complex tools like Photoshop can now be accomplished with just a few simple prompts. Experience intuitive image manipulation through text commands.

🌈 Effective Prompt Examples

😎 "sunglass" - Add cool sunglasses to your character
🏔️ "background alps" - Change the background to Alpine mountains
💃 "dancing" - Transform your character into a dancing pose
😁 "smile" - Change to a smiling expression
🎮 "with Pikachu" - Create a scene with Pikachu
🎨 "3d style" - Convert to 3D style

🔗 Join Our Community
For more meme creation tips and interaction with other users, join our Discord!
https://discord.gg/openfreeai

Start creating unique memes that will shake up social media with 'Open Meme Studio' right now! 🚀💯 It's time for your meme

3 replies

reacted to ginipick's post with 😔 6 days ago

Post

7643

🏯 Open Ghibli Studio: Transform Your Photos into Ghibli-Style Artwork! ✨

Hello AI enthusiasts! 🙋‍♀️ Today I'm introducing a truly magical project: Open Ghibli Studio 🎨

ginigen/FLUX-Open-Ghibli-Studio

🌟 What Can It Do?
Upload any regular photo and watch it transform into a beautiful, fantastical image reminiscent of Hayao Miyazaki's Studio Ghibli animations! 🏞️✨

🔧 How Does It Work?

📸 Upload your photo
🤖 Florence-2 AI analyzes the image and generates a description
✏️ "Ghibli style" is added to the description
🎭 Magic transformation happens using the FLUX.1 model and Ghibli LoRA!

⚙️ Customization Options
Want more control? Adjust these in the advanced settings:

🎲 Set a seed (for reproducible results)
📏 Adjust image dimensions
🔍 Guidance scale (prompt adherence)
🔄 Number of generation steps
💫 Ghibli style intensity

🚀 Try It Now!
Click the "Transform to Ghibli Style" button below to create your own Ghibli world! Ready to meet Totoro, Howl, Sophie, or Chihiro? 🌈

🌿 Note: For best results, use clear images. Nature landscapes, buildings, and portraits transform especially well!
💖 Enjoy the magical transformation! Add some Ghibli magic to your everyday life~ ✨

reacted to seawolf2357's post with 😎 6 days ago

Post

8036

🎨 Ghibli-Style Image Generation with Multilingual Text Integration: FLUX.1 Hugging Face Edition 🌏✨

Hello creators! Today I'm introducing a special image generator that combines the beautiful aesthetics of Studio Ghibli with multilingual text integration! 😍

seawolf2357/Ghibli-Multilingual-Text-rendering

✨ Key Features

Ghibli-Style Image Generation - High-quality animation-style images based on FLUX.1
Multilingual Text Rendering - Support for Korean, Japanese, English, and all languages! 🇰🇷🇯🇵🇬🇧
Automatic Image Editing with Simple Prompts - Just input your desired text and you're done!
Two Stylistic Variations Provided - Get two different results from a single prompt
Full Hugging Face Spaces Support - Deploy and share instantly!

🚀 How Does It Work?

Enter a prompt describing your desired image (e.g., "a cat sitting by the window")
Input the text you want to add (any language works!)
Select the text position, size, and color
Two different versions are automatically generated!

💯 Advantages of This Model

No Tedious Post-Editing Needed - Text is perfectly integrated during generation
Natural Text Integration - Text automatically adjusts to match the image style
Perfect Multilingual Support - Any language renders beautifully!
User-Friendly Interface - Easily adjust text size, position, and color
One-Click Hugging Face Deployment - Use immediately without complex setup

🎭 Use Cases

Creating multilingual greeting cards
Animation-style social media content
Ghibli-inspired posters or banners
Character images with dialogue in various languages
Sharing with the community through Hugging Face Spaces

This project leverages Hugging Face's FLUX.1 model to open new possibilities for seamlessly integrating high-quality Ghibli-style images with multilingual text using just prompts! 🌈
Try it now and create your own artistic masterpieces! 🎨✨

#GhibliStyle #MultilingualSupport #AIImageGeneration #TextRendering #FLUX #HuggingFace

4 replies

replied to their post 9 days ago

You see, Free Software is not about price but freedom, see https://www.gnu.org

While the word Open means nothing special, the definition of Open Source is aligned to definition of Free Software.

Open Free indicates relationship to both.

Though Open Free is promoting proprietary Llama from META which by their deceptive strategy wish to destroy the Free Software community. Llama is just one of their strategies.

Do you think that GNU project would ever support proprietary Llama?! No, because they don't have split tongue.

Would Open Source Initiative (OSI) ever support project like that, published as Open Free pointing to proprietary?! Never.

I am inviting you to understand why.

And I am thankful to Alibaba Cloud (Qwen), DeepSeek, IBM, even the Microsoft, AllenAI, Mistral, and others who published truly free LLMs.

I believe your opinion on Hugging Face presents a somewhat different perspective. There is no direct relationship between our community and Meta, and we focus on technical accessibility rather than political or ideological aspects.
Our philosophy is simple. Whether an LLM is developed by Meta or elsewhere, we believe that making it accessible and open to users helps advance technology and improve user experience.
Freedom of choice is very important. We think it is entirely up to individuals to decide whether to use free services or pay for them. As members of an open community, our role is to provide various options and support users in making the best choices for their needs.
Thank you for your input, and we believe that diverse perspectives enrich the technology community. We hope to continue building a beneficial ecosystem for everyone through constructive dialogue.

replied to their post 9 days ago

While Llama 4 might be proprietary, in my space, I've added Deep Research functionality to it through my own costs and efforts, making it freely available to everyone. Therefore, I believe our "Open+Free" identity remains strong and intact.