krita-ai-diffusion
jupyter-ai
krita-ai-diffusion | jupyter-ai | |
---|---|---|
11 | 9 | |
4,790 | 2,889 | |
- | 4.3% | |
9.8 | 9.2 | |
2 days ago | 8 days ago | |
Python | Python | |
GNU General Public License v3.0 only | BSD 3-clause "New" or "Revised" License |
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.
krita-ai-diffusion
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A quick Krita/ComfyUI LCM live painting tip
I have been playing a lot with Krita's SD plugin https://github.com/Acly/krita-ai-diffusion - that uses ComfyUI as it's API source.
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My life have changed - started using Krita Ai diffusion for my sketches to finish them
Which plugin are you using? This https://github.com/Acly/krita-ai-diffusion
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With the recent developments, It looks like AI art is finally beginning to evolve in the right direction
You could try the Krita plugin, so you have access to all those features: https://github.com/Acly/krita-ai-diffusion
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AI'd my loadouts
I dunno what they used, but Krita with Krita AI is pretty easy to set up and use.
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Easy Stable Diffusion XL in your device, offline
Also just Krita with the diffusion AI plugin: https://github.com/Acly/krita-ai-diffusion
- FLaNK Stack Weekly for 27 November 2023
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I just installed Krita, is there anything in particular I need to know?
You should install krita-ai-diffusion https://github.com/Acly/krita-ai-diffusion This gives Krita steroids...
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Krita AI Diffusion
It was more like a case of the author not having AMD hardware to test his automated installer: https://github.com/Acly/krita-ai-diffusion/issues/76
- Inpaint & Outpaint in Krita - any resolution, no prompt required (New plugin)
jupyter-ai
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🪄 Put magic in your Notebook w/ Jupyter-AI
This notebook is dedicated to a (not so) short jupyterlab/jupyter-ai unboxing so anyone can enjoy this kind of magic (and much much more):
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Best open-source & local alternatives to GitHub Copilot for data science notebooks
- Jupyter AI
- A generative AI extension for JupyterLab
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Chat Notebooks
That’s already a thing, and works rather well: https://github.com/jupyterlab/jupyter-ai
- Jupyter AI: A generative AI extension for JupyterLab
- Generative AI Extension for JupyterLab
- Show HN: Ipython-GPT, a Jupyter/IPython Interface to Chat GPT
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AI coding partners
There's some current work on this front in the JupyterLab team, but it's still pretty early phase, i.e. nothing released yet as far as I know: https://github.com/jupyterlab/jupyter-ai
What are some alternatives?
stable-diffusion-krita-plugin
genai - What if GPT could help you notebook?
Fooocus - Focus on prompting and generating
icortex - A no-code development framework—Let AI do the coding for you 🦾
krita-label-box - Krita plugin to add a box to choose color labels in the layer dockers.
jupyter-voicepilot - A JupyterLab extension for generating code and interacting with JupyterLab Notebooks via voice commands
Stable-Diffusion-Latent-Space-Explorer - Codebase for performing various experiments with Stable Diffusion, supported by the diffusers library.
jupyterlite - Wasm powered Jupyter running in the browser 💡
krita-apply-mask - A krita plugin. Adds a new action to apply masks and layer styles while keeping layer opacity intact
chat-gpt-jupyter-extension - A browser extension that lets you chat with ChatGPT from any local Jupyter notebook.
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
jupytee - Experimental playground with Jupyter magics to use OpenAI's GPT-3 models inside Jupyter environments.