Use Stable Diffusion openvino with poetry

• stable-diffusion

  382 65,389 0.0 Jupyter Notebook

  A latent text-to-image diffusion model

  

View on GitHub

• latent-diffusion

  70 10,575 0.0 Jupyter Notebook

  High-Resolution Image Synthesis with Latent Diffusion Models

  

CVPR '22 Oral | GitHub | arXiv | Project page

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• stable-diffusionassets

  1 - -

Stable Diffusion is a latent text-to-image diffusion model. Thanks to a generous compute donation from Stability AI and support from LAION, we were able to train a Latent Diffusion Model on 512x512 images from a subset of the LAION-5B database. Similar to Google's Imagen, this model uses a frozen CLIP ViT-L/14 text encoder to condition the model on text prompts. With its 860M UNet and 123M text encoder, the model is relatively lightweight and runs on a GPU with at least 10GB VRAM. See this section below and the model card.

• stable_diffusion.openvino

  47 1,524 0.8 Python

$ git clone https://github.com/bes-dev/stable_diffusion.openvino.git $ cd stable_diffusion.openvino

• stable_diffusion.openvinodata

  1 - -

• pyenv

  261 36,723 8.9 Roff

  Simple Python version management

  

In this case, I used python 3.8.12. If you don't have python 3.8, I highly recommend you to install it with [pyenv](https://github.com/pyenv/pyenv).

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