Stable Diffusion Top Builders
Explore the top contributors showcasing the highest number of Stable Diffusion app submissions within our community.
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.
|Relese date||August 22, 2022|
|Type||Deep learning text to image model|
Stable diffusion Tutorials
- Stable Diffusion tutorial: Stable Diffusion Image Variations using lambda diffusers
- Stable Diffusion prompt tutorial: Basics of prompt engineering for Stable Diffusion
- Stable Diffusion Inpainting tutorial: Prompt Inpainting with Stable Diffusion
- Stable Diffusion and OpenAI Whisper prompt tutorial: Generating pictures based on speech - Whisper & Stable Diffusion
- Stable Diffusion tutorial: How to make videos with Stable Diffusion? - Interpolation
👉 Discover more Stable Diffusion Tutorials on lablab.ai
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
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!
Stable Diffusion Hackathon projects
Discover innovative solutions crafted with Stable Diffusion, developed by our community members during our engaging hackathons.
Nano platinum antibacterial
AI technology can be used to model the use of nanoplatinum in antimicrobial applications. By analyzing the physical and chemical properties of nanoplatinum and its mechanisms of interaction with bacteria and human cells, the effectiveness of nanoplatinum in the treatment of bacterial infections can be predicted. Also, AI technology can use big data analysis to explore the optimal drug delivery of nanoplatinum and optimize its application route and dose to improve its efficacy and reduce adverse effects in patients. In addition, AI technology can be used to monitor and predict the drug metabolism and side effects of nanoplatinum to develop safer and more effective treatment plans. Through these applications, AI technology can greatly enhance the value of nanoplatinum in the field of antimicrobial applications.
The vision is to develop a tool to help creators create high-quality animation, Compose characters, and lights in a video using AI. #Problem It takes a lot of time and skill to make Animation and CGI in a video. Every creator/Movies spend lots of resources to create a video. Not everyone can create that type of video as well. #Solution Chal Chitra - An AI tool to create animation, and compose characters and lights easily in a video. Saving a lot of time and resources while editing the video. Using different AI models to add variation is a video generated. If a creator wants to create hi/her unique personality than they can fintune their model and can use it in the video The future of Videos is videos edited with generative AI.
Personal Brand Generator
In an ever-more competitive job market, personal branding has become a necessity for individuals looking to stand out from the crowd and increase their professional opportunities. Social media has become a crucial platform for building personal brands. Social media channels such as LinkedIn, Twitter, and Instagram provide individuals with the opportunity to showcase their professional achievements, connect with other professionals in their field, and establish thought leadership. However, to stand out on social media, individuals need to have a coherent and consistent personal brand that resonates with their target audience. By developing a personal brand, individuals can establish a reputation that makes them more visible and attractive to potential employers or clients. A strong personal brand can help individuals differentiate themselves from others in their field, establish credibility and authority, and create a sense of trust with their audience. By building a strong personal brand, individuals can increase their chances of landing their dream job, securing new business opportunities, and ultimately achieving their career goals. Our Personal Branding platform is an AI-powered tool designed to help job seekers and professionals establish a strong and consistent personal brand across social media platforms. Our platform provides an easy and user-friendly experience for users to create personalized graphics designs for their social media banners and post templates, without requiring any design skills or a large budget. With our AI technology, users can select their preferred topics, colors, and keywords to generate unique and eye-catching designs that reflect their brand's identity and style. By leveraging our platform, users can build a reputable brand equity and increase their chances of landing their dream job or growing their professional network.
Our project is an AI-powered website builder that helps startups and freelancers validate their ideas quickly and easily by generating a preview of their website in seconds. According to a survey from https://earthweb.com/ there are every year 300 million new startups. The platform is designed to be user-friendly and requires no coding skills, making it accessible to everyone. To accomplish this, we use several technologies and frameworks, including FastAPI, RediDB, Langchain, Python, json, A21 API, and Stable Diffusion. By leveraging AI technology, we offer a unique and competitive solution in the website builder market, with the potential to disrupt the industry.
Have you ever felt like you couldn't retain all the information from a talk, class, or event? Or maybe you feel stuck on a problem and need new perspectives to find innovative solutions? Introducing "Rubber Duck," your intelligent virtual assistant based on the concept of "rubber ducking"! The term "rubber ducking" comes from the practice in which programmers explain their problems to a rubber duck in order to clarify their thoughts and find solutions. Rubber Duck uses the power of GPT and Whisper to listen and transcribe your conversations, classes, or events, summarize the most important points, and the power of Stable diffusion to turn those abstract concepts into mnemonic support images and ask Socratic questions to help you learn and find innovative solutions. With Rubber Duck, you'll never have to worry about taking notes or missing important details again. Let Rubber Duck be your study and problem-solving companion, and see how it helps you reach new heights in your learning and creativity!
Apollo ai for writers
We are developing a project that aims to help writers to mix written content by generating engaging images and optimizing placement within the text. Basically, We are building a web application that generates images based on user input. The user will enter some text and might specify the number of images they want to generate. Our application will analyze the text, identify entities within it, devide text into paragraphs and use that information to generate images using a generative AI model. The user will have the option to modify the generated images and generate new ones. The idea is that Ai will analyses the text and decides the best place to put images (where the reader becomes bored) and generate images according to the content. We included more detailed information in our presentation