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.

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.

Textuary

Agriculture remains a vital sector in many developing regions, but knowledge sharing and the adoption of modern practices are often hindered by language barriers. Farmers, especially in rural areas, struggle to access and comprehend information presented in languages unfamiliar to them, limiting their ability to learn about new crops, farming techniques, and equipment. Our solution is an AI-driven image generation platform that empowers users to create vivid, detailed visuals by inputting text prompts in their local languages. By bridging the language gap, this tool allows farmers to visualize and understand complex agricultural concepts, facilitating knowledge exchange and accelerating the adoption of best practices. Targeted primarily at smallholder farmers and agricultural communities in developing regions, our tool is designed to be intuitive and accessible, even for users with limited technological expertise. A unique benefit of our platform is its ability to generate not only static images but also animated visualizations, making it easier to convey dynamic agricultural processes, such as planting techniques or machinery operations. Additionally, the generated visuals can be easily shared and disseminated through various channels, amplifying their impact on knowledge transfer and adoption. Furthermore, our tool leverages the latest advancements in AI and natural language processing, ensuring that the generated visuals accurately capture the nuances and contextual meanings of the local language prompts. This level of precision is crucial in the agricultural domain, where even subtle differences in terminology can have significant implications for crop yields and farming practices. By harnessing the power of AI and local languages, our image generation platform empowers farmers to break through linguistic barriers, fostering a more inclusive and sustainable agricultural ecosystem that benefits rural communities worldwide.

Africa story

The operation has been meticulously simplified to ensure accessibility for all users. Upon accessing the application, users are prompted to input their preferences for different games and activities. Once selected, they can initiate the story generation process with a simple click on the "Generate a Story" button. The application then orchestrates a vibrant narrative complete with engaging visuals, meticulously crafted to be both coherent and easily understandable by children. Each scene is accompanied by a descriptive passage in Yoruba, enriching the cultural experience. Intrigued by a particular scene? Users need only click on the "OK" button, triggering an immersive storytelling experience. A narrator adept in the nuances of Yoruba language and culture will gracefully unravel the tale, providing a deeper understanding and appreciation for the narrative's cultural significance. This seamless integration of visuals, language, and storytelling ensures an enriching journey through African culture for young minds.

Tunmi

"Tunmi" est une application mobile innovante conçue avec une mission essentielle : revitaliser et préserver les trésors culturels représentés par les contes traditionnels écrits dans les langues locales. Cette application révolutionnaire utilise une approche unique : en analysant les textes des contes saisis par les utilisateurs, elle génère automatiquement des illustrations et des vidéos immersives qui accompagnent et donnent vie à ces histoires ancestrales. L'objectif premier de Tunmi est de rendre ces contes traditionnels accessibles à un public moderne, souvent déconnecté de ses racines culturelles. En transformant ces histoires en expériences visuelles riches et captivantes, Tunmi les rend attrayantes pour un large éventail d'auditoires, des jeunes enfants aux adultes curieux de découvrir ou de redécouvrir les récits de leurs ancêtres. Au-delà de son aspect divertissant, Tunmi a un impact profond sur plusieurs niveaux : Préservation du Patrimoine Culturel : En préservant et en mettant en valeur les contes traditionnels, Tunmi contribue à sauvegarder un élément essentiel du patrimoine culturel de différentes communautés à travers le monde. Renforcement de l'Identité Culturelle : En rendant les contes accessibles de manière attractive, Tunmi renforce le lien des utilisateurs avec leur identité culturelle, favorisant ainsi un sentiment d'appartenance et de fierté culturelle. Stimulation du Tourisme Culturel : En mettant en avant les richesses culturelles des différentes régions, Tunmi peut jouer un rôle crucial dans la promotion du tourisme culturel en attirant les voyageurs en quête d'expériences authentiques.