We just release a complete open-source solution for accelerating Stable Diffusion pretraining and fine-tuning!

This page summarizes the projects mentioned and recommended in the original post on /r/StableDiffusion

Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
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  • ColossalAI

    Making large AI models cheaper, faster and more accessible

  • Open source address: https://github.com/hpcaitech/ColossalAI/tree/main/examples/images/diffusion

  • guided-diffusion

  • Our codebase for the diffusion models builds heavily on OpenAI's ADM codebase , lucidrains, Stable Diffusion, Lightning and Hugging Face. Thanks for open-sourcing!

  • WorkOS

    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.

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  • denoising-diffusion-pytorch

    Implementation of Denoising Diffusion Probabilistic Model in Pytorch

  • Our codebase for the diffusion models builds heavily on OpenAI's ADM codebase , lucidrains, Stable Diffusion, Lightning and Hugging Face. Thanks for open-sourcing!

  • stable-diffusion

    A latent text-to-image diffusion model

  • Our codebase for the diffusion models builds heavily on OpenAI's ADM codebase , lucidrains, Stable Diffusion, Lightning and Hugging Face. Thanks for open-sourcing!

  • pytorch-lightning

    Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

  • Our codebase for the diffusion models builds heavily on OpenAI's ADM codebase , lucidrains, Stable Diffusion, Lightning and Hugging Face. Thanks for open-sourcing!

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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