OpenAI Dall-e Mini AI technology Top Builders

Explore the top contributors showcasing the highest number of OpenAI Dall-e Mini AI technology app submissions within our community.

OpenAI Dall-e Mini

DALL-E mini is a small, open-source artificial intelligence (AI) system developed by OpenAI. It is based on the same technology as OpenAI's larger DALL-E model, but is designed to be more accessible and easier to use. The system is designed to generate images, text, and audio, based on text input.

General
Relese date	January, 2021
Author	OpenAI
Research	https://openai.com/research/dall-e
Type	Deep learning model

Libraries

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DALL-E mini on Hugging Face Gym is a standard API for reinforcement learning, and a diverse collection of reference environments
Craiyon Formerly DALL-E mini
DALL-E mini on GitHub DALL-E mini python package and colab example

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OpenAI Dall-e Mini AI technology Hackathon projects

Discover innovative solutions crafted with OpenAI Dall-e Mini AI technology, developed by our community members during our engaging hackathons.

Quranic Knowledge AI Chatbot

This is a Quranic Knowledge AI Chatbot designed to provide answers directly from the Quran in Arabic, followed by translations and explanations in the same language as the user's input. The chatbot also provides detailed references, including Para, Surah, and Ayah numbers, for each answer. The model is specifically designed to answer queries related to the Quran. Key features include: -Quranic Verses in Arabic: Provides the relevant Quranic verse in Arabic for each query. -Language-Specific Explanations: Delivers explanations and translations in the user's input language. -Detailed References: Includes Para, Surah, and Ayah numbers for each Quranic reference. The process of the code involves utilizing a RAG (Retrieval-Augmented Generation) pipeline to ensure enhanced contextual accuracy. When a user inputs a query, the system retrieves relevant verses using Faiss for fast and scalable vector searches. The AI models, specifically IBM Granite and MiniLM, then generate accurate and contextually appropriate responses. The output is delivered through a Streamlit interface, which provides an interactive and user-friendly experience. Future enhancements include integrating Hadith and Sunnah, along with voice recognition capabilities.

AI Agent - Art Director

The project's objective in the upcoming iterations is for the agent to be built with the purpose of creating unique "styles" and "themes" based on user requests, being specifically trained for this task. It should be capable of receiving visual input and annotations from the user regarding the content it is generating. Once the desired style is identified, the user can create new concepts using the predefined theme without the need for lengthy prompts that often yield diverse responses. For now, I was only able to create the agent using GPT-3.5 and obtaining low-quality results, but it's functioning correctly. There's a Python-based agent that interacts with the OpenAI API, and a React frontend where the user inputs information and receives responses.

3Dmod

The "3D Mod" project is an innovative endeavor that harnesses the power of technology and creativity to generate captivating 3D models. Upon receiving a name as input, the project employs advanced algorithms or AI methodologies to craft intricate three-dimensional structures. Through a combination of computational design and imaginative processing, the system creates unique textures, shapes, and patterns that symbolically represent the given name. This fusion of art and technology not only offers a visually engaging experience but also showcases the potential of AI in transforming concepts into tangible, immersive forms. "3D Mod" pushes the boundaries of digital art, demonstrating how code can translate names into mesmerizing 3D sculptures

Thumbnail AI Summarize and Cover Generation

Introducing Thumbnail-AI: the app that seamlessly summarizes the content of YouTube videos also creating Related Cover images relevant to the video . With Thumbnail-AI, repurposing your video content for a wider audience has never been easier. Utilizing advanced AI technology, Thumbnail-AI transcribes your videos accurately and preserves the original style and tone. The result? Engaging summarize which can be further converted into small podcast generates images using DALL- E and stable diffusion. Simply input the YouTube video link, and Thumbnail-AI does the rest, saving you time and effort. It will be useful foe competitor analysis, further transform into images that are related to context and can be your cover photo of your Youtube video. Next advancement will be the hashtags to be used and suggestion given by AI to add in the Youtube video description.

Genie (Quester)

A python Application built to make,the researcher's life easy.