rich-text-to-image
autogen
rich-text-to-image | autogen | |
---|---|---|
11 | 32 | |
732 | 25,506 | |
- | 7.7% | |
6.5 | 9.9 | |
7 months ago | 7 days ago | |
Python | Jupyter Notebook | |
MIT License | Creative Commons Attribution 4.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
rich-text-to-image
- FLaNK Stack Weekly 09 Oct 2023
- Expressive text-to-image generation with rich text
- Expressive Text-to-Image Generation with Rich Text
- When will rich-text txt2img be integrated in A1111 or other web based UI?
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Choose Your Weapon: Survival Strategies for Depressed AI Academics
https://rich-text-to-image.github.io/ and https://prompt-to-prompt.github.io/ are pretty good at changing specific details of specific objects without spillover, though I don't know about their token efficiency.
- Bing DALL-E beats this new AI on this very long prompt. Prompt and other AI in comments.
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Creating Images from Text with Rich Text Features
Project Page: https://rich-text-to-image.github.io/
autogen
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Agents of Change: Navigating the Rise of AI Agents in 2024
AutoGen is an AI framework by Microsoft designed to streamline multi-agent conversations. AutoGen allows agents to communicate, share information, and make collective decisions. This setup enhances the responsiveness and dynamism of conversations. Developers use AutoGen to tailor agents to specific roles, such as programmer, content writer, CEO, etc. This enhances their ability to handle tasks from simple queries to intricate problem-solving.
- FLaNK AI Weekly 25 March 2025
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Launch HN: Glide (YC W19) – AI-assisted technical design docs
I am still playing around with the project but FYI, the parsing for the github repo URL at https://glide.agenticlabs.com/ will fail if there's a trailing slash in the repo link i.e. https://github.com/microsoft/autogen/ won't work but https://github.com/microsoft/autogen will.
- Show HN: Prompts as (WASM) Programs
- Enable Next-Gen Large Language
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AutoGen v0.2.2 released
New example notebook demoing video transcript translate with whisper.
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AutoGen v0.2.1 released
New release: v0.2.1
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AI is making us all more productive — but in a weird and unexpected way
I disagree with the conclusion. In software, I've seen 10x engineers in person and I don't think they're replaceable. Whereas, the new college grad or that entry level dev who doesn't design anything and just writes small amounts of code, doing exactly as told is replaceable by an AI. Frameworks similar to Microsoft Autogen(https://github.com/microsoft/autogen) can in theory build agents who can do these tasks with ease whereas a 10x engineer can focus on directing the agents and designing systems.
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Our Hacktoberfest Success Story
Microsoft autogen
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AutoGen v0.2.0b4 released
CompressibleAgent (experimental) can be used to handle long conversations. Notebook: https://github.com/microsoft/autogen/blob/main/notebook/agentchat_compression.ipynb
What are some alternatives?
obs-studio-portable - OCI container image of OBS Studio that bundles a curated collection of 3rd party plugins
Auto-GPT - An experimental open-source attempt to make GPT-4 fully autonomous. [Moved to: https://github.com/Significant-Gravitas/AutoGPT]
MeshDiffusion - Official implementation of "MeshDiffusion: Score-based Generative 3D Mesh Modeling" (ICLR 2023 Spotlight)
semantic-kernel - Integrate cutting-edge LLM technology quickly and easily into your apps
mmgeneration - MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.
SuperAGI - <⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
compel - A prompting enhancement library for transformers-type text embedding systems
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
custom-diffusion - Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)
AgentVerse - 🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation
sd-webui-cutoff - Cutoff - Cutting Off Prompt Effect
langchain - 🦜🔗 Build context-aware reasoning applications