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• stable-diffusion

  382 65,243 0.0 Jupyter Notebook

  A latent text-to-image diffusion model

  

Stable Diffusion is this: https://github.com/CompVis/stable-diffusion

It doesn't have a fancy product website because it's not really a product, it's 'just' the model. Developers can use it to build a product. The Stability.ai people themselves built one called Dream Studio (https://dreamstudio.ai), but there are also some free and open source frontends you can run on your own hardware if you have a GPU.

I guess your confusion comes from the fact that people tend to talk about "Stable diffusion" and not "Dream Studio" or one of the many frontends available for it.

• stable-diffusion

  8 436 0.0

No, sorry, but there's a whole bunch of one-click things now, I think?

I'm running it on Windows 10 using (a modified version of) https://github.com/bfirsh/stable-diffusion.git and Anaconda to create the environment from their `environment.yaml` (all of which was done using the normal `cmd` shell). Then to use it, I activate that env from `cmd` and switch into cygwin `bash` to run the `txt2img.py` script (because it's easier to script, etc.)

• WorkOS

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• stable-diffusion-webui

  2,808 129,299 9.9 Python

  Stable Diffusion web UI

Only some builds support it. This is the one I'm familiar with: [0]. () around a word causes the model to pay more attention to it, [] around a word causes the model to pay less attention. There's an example at the link.

[0] https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki...

• stable-diffusion-ui

  249 6,808 9.9 JavaScript

  Discontinued 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]

  

There's a 1-click installation for installing Stable Diffusion locally (Windows/Linux), doesn't require anything pre-installed - https://github.com/cmdr2/stable-diffusion-ui#installation

• whisper

  343 59,916 6.8 Python

  Robust Speech Recognition via Large-Scale Weak Supervision

  

Truly proves the saying, "Get Woke, Go Broke". All this pearl-clutching over safety really did a disservice to them.

In all fairness, their release of Whisper[0] last week is actually really amazing. Like CLIP, it has the ability to spawn a lot of further research and work thanks to the open source aspect of it. I hope OpenAI learns from this, downgrades the "safety" shills, and focuses on producing more high-quality open source work, both code and models, which will move the field forward.

[0]: https://github.com/openai/whisper

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