PyVaporation
diffusers-interpret
PyVaporation | diffusers-interpret | |
---|---|---|
4 | 15 | |
71 | 259 | |
- | - | |
1.3 | 10.0 | |
12 months ago | over 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
Apache License 2.0 | MIT 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.
PyVaporation
- Itβs a cool approach to provide interactive code examples to your open-source project in Jupiter. Check out how we used it to simplify onboarding for low-code audience. We would be thankfull for every star on the repo!
- Check our python framework for modelling and scaling membrane separation processes (mainly pervaporation). We would be thankfull for every star on the repo!
- We have developed a python package for complex membrane engineering tasks. The key aspect here was to validate the algorithms against real published reliable experimental data to increase the reliability of the package. We are trying to get more visibility, please consider starring the Project!
- Hey guys, please help us get visibility of our new open-source project for membrane scientists! We will be gratefull for each star here:
diffusers-interpret
- Stable Diffusion links from around September 29, 2022 that I collected for further processing
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Diffusers-Interpret π€π§¨π΅οΈββοΈ - Model explainability for π€ Diffusers
Check the project at https://github.com/JoaoLages/diffusers-interpret
- Diffusers-Interpret v0.4.0 is out! Explainability for Stable Diffusion
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Can we please make a general update on all the "most important" news/repos available?
For those who want to explore what the denoising process looks like, check out the [diffusers-interpret package](https://github.com/JoaoLages/diffusers-interpret)! You can generate a GIF like [this one](https://github.com/TomPham97/diffuser/blob/main/diffusion-process.gif?raw=true).
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Commas, How do they work?!
If you have lots of RAM the diffusers-interpreter is an explainability tool that can show exactly how much each token is beings weighted and which part of the image it is influencing.
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[D] Senior research scientist at GoogleAI, Negar Rostamzadeh: βCan't believe Stable Diffusion is out there for public use and that's considered as βokβ!!!β
github.com/JoaoLages/diffusers-interpret
- Model explainability for π€ Diffusers. Get explanations for your generated images with the latest stable diffusion model!
- [P] Model explainability for π€ Diffusers. Get explanations for your generated images with the latest stable diffusion model!
What are some alternatives?
discoart - πͺ© Create Disco Diffusion artworks in one line
stable-diffusion-webui - Stable Diffusion web UI
Kandinsky-2 - Kandinsky 2 β multilingual text2image latent diffusion model
diffusionbee-stable-diffusion-ui - Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.
proposal-symbols-as-weakmap-keys - Permit Symbols as keys in WeakMaps, entries in WeakSets and WeakRefs, and registered in FinalizationRegistries
diffusion-ui - Frontend for deeplearning Image generation
doohickey - Doohickey is a stable diffusion tool for technical artists who want to stay up-to-date with the latest developments in the field.
stable-diffusion-webui-feature-showcase - Feature showcase for stable-diffusion-webui
awesome-stable-diffusion - Curated list of awesome resources for the Stable Diffusion AI Model.
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]
paint-with-words-sd - Implementation of Paint-with-words with Stable Diffusion : method from eDiff-I that let you generate image from text-labeled segmentation map.
stable-diffusion