chainlit
ComfyUI
chainlit | ComfyUI | |
---|---|---|
7 | 125 | |
5,535 | 34,594 | |
7.8% | - | |
9.7 | 9.9 | |
4 days ago | 3 days ago | |
TypeScript | Python | |
Apache License 2.0 | GNU General Public License v3.0 only |
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.
chainlit
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Chat with your Github Repo using llama_index and chainlit
chainlit is open source project that makes it very easy to build frontend interfaces like chatgpt and other features that are required for conversational ai app, so we can focus on the core part and don't need to worry about basic things, and it is dead simple to work with
- Show HN: I made an app to use local AI as daily driver
- Help with conversational_qa_chain - Streamlit Messages
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AI Chatbot powered by Amazon Bedrock 🚀🤖
I have created a sample chatbot application that uses Chainlit and LangChain to showcase Amazon Bedrock.
- Chainlit: Create ChatGPT-like UIs on top of Python code
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Personal movie recommendation agent with GPT4 + Neo4J
For the interface, I'm using chainlit, a new UI library for building LLM apps, with an integration with Langchain.
- Chainlit/chainlit: Build Python LLM apps in minutes ⚡️
ComfyUI
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ComflowySpace: An open-source version of better ComfyUI
The non standard licensing puts me off in contributing or using this. It is frustrating how the phrase opensource has been diluted in the AI/ML community. ComfyUI has a GPL license [1] while this project uses this [2]. I honestly don't know where I stand since this is a legal document using non-standard phrasing to describe how the rights around the source code.
This is a project that uses a custom license with less rights provided than the ComfyUI project it self-describes as improving. Am not sure the title is reflective of the project.
[1] - https://github.com/comfyanonymous/ComfyUI/blob/master/LICENS...
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Show HN: I made an app to use local AI as daily driver
* LLaVA model: I'll add more documentation. You are right Llava could not generate images. For image generation I don't have immediate plans, but checkout these projects for local image generation.
- https://diffusionbee.com/
- https://github.com/comfyanonymous/ComfyUI
- https://github.com/AUTOMATIC1111/stable-diffusion-webui
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Show HN: ML Blocks – Deploy multimodal AI workflows without code
Check out ComfyUI for a much more advanced and open source version of this.
https://github.com/comfyanonymous/ComfyUI
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Stable Code 3B: Coding on the Edge
I use Stable Diffusion family models for innovative art products.
On a small scale, you have to professionalize ComfyUI’s development. My PR to make it installable and to make a plugin ecosystem that makes sense should not be sitting unmerged (https://github.com/comfyanonymous/ComfyUI/pull/298).
On a medium scale, CLIP is holding you back. I would eagerly buy a 48GB card to accommodate a batch size 1, gradient checkpointed LoRA-trainable model with T5 for conditioning. I want PixArt-a or DeepFloyd/IF with the SDXL dataset and training. I get I can achieve so much with SDXL on 24GB, including just barely a fine tuning, I understand the engineering decisions here, but it’s too weak on prompts.
On a large scale, I’m willing to spend a little money up front. In those conditions you can be far more innovative, you don’t have to make everything for $0. Shane Carruth didn’t make Primer for $0. I’m sure you’ve seen this movie, you get how astoundingly good it is. But he still spent something. He spent only slightly more than an RTX 6000 Ada.
Innovators have budgets. It’s still worth releasing the most powerful possible model for expensive hardware, this is why everyone is talking about Mixtral, but it’s especially true of visual art.
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Show HN: Comflowy – A ComfyUI Tutorial for Beginners
It's litegraph.js [1] and seems to be the only lib they include in /web [2] :
[1] https://github.com/jagenjo/litegraph.js
[2] https://github.com/comfyanonymous/ComfyUI/tree/master/web/li...
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ComfyUI on Windows 7?
It's possibly you might get a later version of Comfy working, but I had no success with this method and the 1st Sept version of Comfy. The older versions are here under Assets... https://github.com/comfyanonymous/ComfyUI/releases
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Seeking out an experienced and empathetic coding buddy.
That said, please do learn coding and don't get discouraged when somebody says to learn PyTorch or recommends using a Jupiter notebook with no further information on how to translate the skill into images. I would highly recommend some short term goals. Get your feet wet by taking apart the UIs. The comfy API documentation is here and the A1111 API documentation is here. There is a difference in completeness, welcome to programming. Writing nodes or plugins is also a good way to jump into this world. Custom wildcard logic might be very attractive to you if you aren't the type that want to deal with a nested file structure to simulate logic.
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Need help installating ComfyUI
For example ComfyUI can simply be downloaded and run using the portable version (https://github.com/comfyanonymous/ComfyUI/releases/download/latest/ComfyUI_windows_portable_nvidia_cu121_or_cpu.7z) if your not comfortable using GIT etc.
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Installing cumfyui manager on MacBook
https://github.com/comfyanonymous/ComfyUI scroll down to "Install"
- SAG (Self-Attention Guidance) for ComfyUI is here!
What are some alternatives?
langchain - 🦜🔗 Build context-aware reasoning applications
stable-diffusion-webui - Stable Diffusion web UI
nitro - Create apps 10x quicker, without Javascript/HTML/CSS.
stable-diffusion-ui - Easiest 1-click way to install and use Stable Diffusion on your computer. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image. [Moved to: https://github.com/easydiffusion/easydiffusion]
web-llm - Bringing large-language models and chat to web browsers. Everything runs inside the browser with no server support.
InvokeAI - InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.
dify - Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
sd-webui-controlnet - WebUI extension for ControlNet
open-webui - User-friendly WebUI for LLMs (Formerly Ollama WebUI)
openOutpaint - local offline javascript and html canvas outpainting gizmo for stable diffusion webUI API 🐠
react-llm - Easy-to-use headless React Hooks to run LLMs in the browser with WebGPU. Just useLLM().
a1111-nevysha-comfy-ui - A collection of tweak to improve Auto1111 UI//UX [Moved to: https://github.com/Nevysha/Cozy-Nest]