Fooocus
tabby
Fooocus | tabby | |
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34 | 25 | |
35,143 | 17,420 | |
- | 4.5% | |
9.8 | 9.9 | |
5 days ago | 2 days ago | |
Python | Rust | |
GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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.
Fooocus
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AI, but at what cost? The energy-inefficient AI era is already here
But we can come to a pretty realistic (although not as accurate) conclusion if we put our minds to it. I chose Fooocus for this example, which is the most straightforward (and I believe popular) stable diffusion GUI out there. Let's start simple:
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How to Persist Data in Google Colab Using JuiceFS
# Install the JuiceFS client. !curl -sSL https://d.juicefs.com/install | sh - # Mount the JuiceFS file system. !juicefs mount rediss://:[email protected]/1 myjfs -d # Create the directory structure for Fooocus models in JuiceFS. !mkdir -p myjfs/models/{checkpoints,loras,embeddings,vae_approx,upscale_models,inpaint,controlnet,clip_vision} # Clone the Fooocus repository. !git clone https://github.com/lllyasviel/Fooocus.git
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Stable Cascade
That looks very impressive unless the demo is cherrypicked, would be great if this could be implemented into a frontend like Fooocus https://github.com/lllyasviel/Fooocus
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Stable Code 3B: Coding on the Edge
You might be thinking of Fooocus: https://github.com/lllyasviel/Fooocus
The Stable Diffusion web interface that got a lot of people's attention originally was Automatic1111: https://github.com/AUTOMATIC1111/stable-diffusion-webui
Fooocus is definitely more beginner friendly. It does a lot of the prompt engineering for you. Automatic1111 has a ton of plugins, most notably ControlNet which gives you fine grained control over the images, but there is a learning curve.
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Ask HN: How are you using ChatGPT for yourself?
I just installed this last night on my laptop:
https://github.com/lllyasviel/Fooocus
Highly recommend:
>"Looking up from the deck of golden gate bridge at the towers and metal work, the towers rise and arch back in an ominous and foreboding manner. more artistic, like an alphonse mucha propaganda poster - slightly fish-eye feeling" -- https://i.imgur.com/vyNg79f.jpg
the local UI and 1.27.0.0.1 - https://i.imgur.com/wRwghuN.jpg
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It took SEVEN MINUTES to do this using fooocus on a 1060 3g with 16 ram. Can I make it faster?
Why not use the Google Colab notebook while it's still a free option at: https://github.com/lllyasviel/Fooocus It's not bad. I've been using the Colab Fooocus notebook and A1111 on Sage with the 4 free hours of GPU time. The Colab has the Juggernaut model preloaded, but I combined some code from another notebook to add other models and loras.
- Could I use SDXL on a 4gb VRAM?
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Looking for an open source Image generator with no limits
i'm trying to test the abilities of image generators and the risks that can comes with it. and i'm looking for an image generator that work locally and has no limits. i used the Fooocus project from github and the juggernut model and it's capable of generating nude pictures but not fully nude pictures. and it doesn't work will with bloody scenes. any recommendation for a better model
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What is the licensing of SD models/frameworks?
I recently saw this video from Fireship and I started wondering about licensing of SD models and frameworks. Fireship shows Fooocus and advertises it as a cool solution. What I started wondering about is, Fooocus downloads a couple of models: Juggernaut XL, some control nets, some loras. What licensing is tied to all of this? One I am most insterested in is JuggernautXL, on civitai it's listed as having CreativeML Open RAIL++-M license but in the description there's remark: For business inquires, commercial licensing, custom models, and consultation contact me under [email protected] There's a lot of separate parts going on in AI frameworks and it's a bit unclear to understand if I can use this commercialy.
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What AI is best for this kind of pictures?
For running locally w/o a lot of "hazzle" i would recommend using https://github.com/lllyasviel/Fooocus and the "Sticker" style, which is available within the UI (Advanced tab). If you need lot of text directly in you images, you may have difficulties with SD and other AI models. In this case LoRas could help. Example: https://civitai.com/posts/880523 (check details for used prompt) In this case i used the following LoRa (a LoRa is kind of specialized submodel for style, concept or person) .
tabby
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IBM Granite: A Family of Open Foundation Models for Code Intelligence
https://github.com/TabbyML/tabby can run self-hosted AI coding assistants. I tried it a while ago and it worked with Nvim pretty easily. There is a VS code extension too. The extension will just sort of "read" with you and provide suggestions from time to time. Anytime the suggestion is good you can press some key ( by default) to accept it. It's basically autocomplete on steroids.
- Google CodeGemma: Open Code Models Based on Gemma [pdf]
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What AI assistants are already bundled for Linux?
NixOS just got tabbyml[1] which is built on llama-cpp. Working on systemsd services the weekend and updating latest tabbyml release which supports rocm in addition to cuda
[1] https://github.com/TabbyML/tabby
[2] https://github.com/NixOS/nixpkgs/pull/291744
- FLaNK Stack Weekly 19 Feb 2024
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Show HN: Tabby back end in 20 Python lines (self-hosted AI coding assistant)
Nice implementation! It should serve as a great reference for a minimal Tabby's backend API. Thank you for sharing it!
Yeah - ultimately, it won't be as performant or feature-rich compared to https://github.com/TabbyML/tabby, but it's still perfect for educational purposes!
- Stable Code 3B: Coding on the Edge
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Show HN: I built local copilot alternative using Codellama
Looks interesting! What are the main differences between this and https://github.com/TabbyML/tabby ?
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Ask HN: Who is hiring? (October 2023)
TabbyML | Software Engineer (Rust) | REMOTE
Self-hosted AI coding assistant. An opensource / on-prem alternative to GitHub Copilot.
Project: https://github.com/TabbyML/tabby
Tabby is seeking a Software Engineer proficient in Rust to join our core engineering team. In this role, you will be responsible for developing the following features:
- Show HN: Tabby – AI Coding Assistant Runs on Apple M1/M2 GPU
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Meta: Code Llama, an AI Tool for Coding
There are a bunch of VSCode extensions that make use of local models. Tabby seems to be the most friendly right now, but I admittedly haven't tried it myself: https://tabbyml.github.io/tabby/
What are some alternatives?
ComfyUI-AIT
fauxpilot - FauxPilot - an open-source alternative to GitHub Copilot server
stable-diffusion-webui-forge
turbopilot - Turbopilot is an open source large-language-model based code completion engine that runs locally on CPU
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
refact - WebUI for Fine-Tuning and Self-hosting of Open-Source Large Language Models for Coding
StableCascade - Official Code for Stable Cascade
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
PixArt-alpha - PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
aider - aider is AI pair programming in your terminal
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.
ollama-ui - Simple HTML UI for Ollama