1 week of Stable Diffusion

• stable-diffusion

  186 3,146 0.0 Jupyter Notebook

  Optimized Stable Diffusion modified to run on lower GPU VRAM (by basujindal)

RTX 3070 here

Keep in mind to have the batch-size low (equal to 1, probably), that was my main issue when I first installed this.

Then, there's lot's of great forks already which add an interactive repl or web ui [0][1]. They also run with half-precision which saves a few bytes. Additionally, they integrate with upscaling neural networks, which means you can generate 512x512 images with stable diffusion and then scale them up to 1024x1024 easily. Moreover, they integrate with face-fixing neural networks, which can also drastically improve the quality of images.

There's also this ultra-optimized repo, but it's a fair bit slower [2].

[0]: https://github.com/lstein/stable-diffusion

[1]: https://github.com/hlky/stable-diffusion

[2]: https://github.com/basujindal/stable-diffusion

• stable-diffusion

  111 1,749 10.0 Jupyter Notebook
  

RTX 3070 here

Keep in mind to have the batch-size low (equal to 1, probably), that was my main issue when I first installed this.

Then, there's lot's of great forks already which add an interactive repl or web ui [0][1]. They also run with half-precision which saves a few bytes. Additionally, they integrate with upscaling neural networks, which means you can generate 512x512 images with stable diffusion and then scale them up to 1024x1024 easily. Moreover, they integrate with face-fixing neural networks, which can also drastically improve the quality of images.

There's also this ultra-optimized repo, but it's a fair bit slower [2].

[0]: https://github.com/lstein/stable-diffusion

[1]: https://github.com/hlky/stable-diffusion

[2]: https://github.com/basujindal/stable-diffusion

• WorkOS

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• stable-diffusion

  142 2,438 9.8 Jupyter Notebook

  Discontinued This version of CompVis/stable-diffusion features an interactive command-line script that combines text2img and img2img functionality in a "dream bot" style interface, a WebGUI, and multiple features and other enhancements. [Moved to: https://github.com/invoke-ai/InvokeAI] (by lstein)

  

RTX 3070 here

Keep in mind to have the batch-size low (equal to 1, probably), that was my main issue when I first installed this.

Then, there's lot's of great forks already which add an interactive repl or web ui [0][1]. They also run with half-precision which saves a few bytes. Additionally, they integrate with upscaling neural networks, which means you can generate 512x512 images with stable diffusion and then scale them up to 1024x1024 easily. Moreover, they integrate with face-fixing neural networks, which can also drastically improve the quality of images.

There's also this ultra-optimized repo, but it's a fair bit slower [2].

[0]: https://github.com/lstein/stable-diffusion

[1]: https://github.com/hlky/stable-diffusion

[2]: https://github.com/basujindal/stable-diffusion

• stable_diffusion.openvino

  47 1,524 0.8 Python

Openvivo (CPU version of Stable Diffusion) is a easy setup on Linux within a venv. Be sure to update Pip first.

https://github.com/bes-dev/stable_diffusion.openvino

• transformers

  175 125,021 10.0 Python

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  

Basically stuff a 32 bit value into an 8 bit value (and lose precision).

Apparently it doesn't affect the results significantly.

More info:

https://github.com/huggingface/transformers/pull/17901

• InfluxDB

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