Stability AI Stable Diffusion AI technology Top Builders

Explore the top contributors showcasing the highest number of Stability AI Stable Diffusion AI technology app submissions within our community.

Stable Diffusion

Latent diffusion models (LDMs) are a type of image generation technique that work by iteratively "de-noising" data in a latent representation space, and then decoding the representation into a full image. This is in contrast to other popular image synthesis methods such as generative adversarial networks (GANs) and the auto-regressive technique used by DALL-E. The Stable Diffusion model is created by a collaboration between engineers and researchers from CompVis, Stability AI, and LAION and released under a Creative ML OpenRAIL-M license, wich means that it can be used for commercial and non-commercial purposes.

The release of this file is the culmination of many hours of collective effort to compress the visual information of humanity into a few gigabytes. Furthermore, the model also supports image-to-image style transfer, as well as upscaling and generating an images from a simple sketch. Included is also an AI-based Safty Classifier, which understands concepts and other factors in generations to remove outputs that may not be desired by the model user.

General
Relese date	August 22, 2022
Research Paper	https://ommer-lab.com/research/latent-diffusion-models/
Type	Deep learning text to image model

Stable diffusion Tutorials

👉 Discover more Stable Diffusion Tutorials on lablab.ai

Knowledge Base

Find out how it is working!

Research Paper The Stable Diffusion paper describes the model and its training process in detail.
Stable Diffusion Demo You can play around with Stable Diffusion on Hugging Face
GitHub Repository Visit the Stable Diffusion v2 repository on GitHub
dreamstudio Online stable diffusion interface with a lot of optional configurations

Models

There are plenty of Stable Diffusion models, which are taiolred to deliver various art styles, animation styles and more. We encourage you to experiment with many of them and choose the one which you like the most. Here are some of the finest ones:

Boilerplates

Get started with technology!

Stable Diffusion Colab A Colab notebook that shows how to use Stable Diffusion with GPU!
Stable Diffusion & Whisper Colab A Colab notebook that shows how to use Stable Diffusion with Whisper!
Stable Diffusion Interpolation V2.2 A Colab notebook about Stable Diffusion Interpolation!

Edit on Github

Stability AI Stable Diffusion AI technology Hackathon projects

Discover innovative solutions crafted with Stability AI Stable Diffusion AI technology, developed by our community members during our engaging hackathons.

SupplyGenius Pro

Core Features 1. Document Processing & Analysis - Automated analysis of supply chain documents - Extraction of key information (parties, dates, terms) - Compliance status verification - Confidence scoring for extracted data 2. Demand Forecasting & Planning - AI-powered demand prediction - Time series analysis with confidence intervals - Seasonal pattern recognition - Multi-model ensemble forecasting (LSTM, Random Forest) 3.Inventory Optimization - Real-time inventory level monitoring - Dynamic reorder point calculation - Holding cost optimization - Stockout risk prevention 4. Risk Management - Supply chain disruption simulation - Real-time risk monitoring - Automated mitigation strategy generation - Risk score calculation 5. Supplier Management - Supplier performance tracking - Lead time optimization - Pricing analysis - Automated purchase order generation 6. Financial Analytics - ROI calculation - Cost optimization analysis - Financial impact assessment - Budget forecasting 7. Real-time Monitoring - Live metrics dashboard - WebSocket-based alerts - Performance monitoring - System health tracking 8. Security Features - JWT-based authentication - Role-based access control - Rate limiting - Secure API endpoints -- Technical Capabilities 1. AI Integration - IBM Granite 13B model integration - RAG (Retrieval Augmented Generation) - Custom AI toolchains - Machine learning pipelines 2. Data Processing - Real-time data processing - Time series analysis - Statistical modeling - Data visualization 3. Performance Optimization - Redis caching - Async operations - Rate limiting - Load balancing 4. Monitoring & Logging - Prometheus metrics - Detailed logging - Performance tracking - Error handling

Social Media Content Generator

The Social Media Content Generator is a comprehensive solution designed to streamline and enhance the process of creating and managing social media content. This tool leverages advanced AI technology, specifically Falcon's LLMs, to automate the generation of engaging posts for LinkedIn and Twitter. Users start by inputting a topic, mood, and optionally a website URL for context. The tool then crafts tailored content and can generate AI-based images for LinkedIn posts, making them more visually appealing. The generator offers direct posting capabilities, allowing users to share content effortlessly across their social media accounts. The project addresses a significant pain point in social media management, where creating high-quality, consistent posts can be time-consuming and complex. The market for social media management tools is experiencing rapid growth, projected to expand from $15 billion in 2023 to $40 billion by 2028. This growth is fueled by increased social media usage and a rising demand for automation solutions. Our tool is strategically positioned to capture a share of this market by offering both efficiency and effectiveness in content creation. Future enhancements will focus on expanding platform support, improving AI capabilities, and incorporating user feedback to continually enhance the tool's functionality. In summary, the Social Media Content Generator provides a powerful and user-friendly solution for managing social media content, helping users save time, engage their audience, and maintain a consistent online presence while tapping into a lucrative and expanding market.

TaleTailor AI

TaleTailor AI is designed to aid story writers by providing a platform to generate creative scenarios and character interactions. Users can input up to three characters, define their emotions, and provide a scene and scenario. The AI then generates a detailed narrative based on these inputs. This tool is particularly useful for writers seeking inspiration or looking to quickly draft scenes. It leverages the power of Falcon LLM to bring characters to life, making the writing process faster and more engaging. TaleTailor AI also includes features to generate images based on the story and save the output as a PDF, enhancing the storytelling experience.

MBTI Date Simulation

Our team, Ggang's gang, is developing an MBTI Date Simulation app to solve dating challenges. We've noticed people struggle with limited experience, face-to-face interactions, and boring chatbots. Our solution offers fun conversations with diverse AI personalities based on MBTI types, helping users practice dating and improve communication. We're tapping into the booming online dating market with a unique AI-driven approach. Our app uses a Langflow-based RAG system, combining vector embedding and MBTI context for personalized interactions. We've got a tiered pricing model, from a free trial to an enterprise option with API support. Looking ahead, we're excited about expanding to real-life matching, enhancing privacy, and advancing our RAG technology. This project is our way of making dating more accessible and fun for everyone.

Make LLM accessible for low resource language

The Langflow Hackathon, led by Raghavan Muthuregunathan, addresses the challenge of enhancing LLM performance in low-resource languages. While some LLMs like GPT4o excel, others like Stable Diffusion struggle. The proposed solution, Translation Augmented Generation, leverages high-quality English LLMs for non-English languages using Langflow, Streamlit, and OpenAI. Their innovative prompt engineering allows Stable Diffusion to understand languages other than English, demonstrated by generating images from Tamil prompts. This solution aims to democratize LLM accessibility, making it beneficial for low-resource languages. More details and examples can be found on their [Streamlit app](https://langflow-lablab.streamlit.app/) and [GitHub repository](https://github.com/raghavan1988/langflow_hackathon/blob/main/app.py).

Gamestorm AI

Gamestorm.AI is an online web platform where anyone can use simple natural language prompts to build ambitious video games in minutes. It handles every step of the game generation pipeline including game design, 2d/3d asset generation, animation, sounds, visual effects, code implementation, online multiplayer, cross-platform support, and monetization. Gamestorm.AI allows even the smallest indie developers to compete in the most popular and profitable genres against the dominating large AAA studios and their massive resources. For this hackathon, we are submitting a demo showcasing a platform that allows anyone to create games in the Digital Card Games genre, similar to Hearthstone, Magic The Gathering, etc.