First open source text to video 1.7 billion parameter diffusion model is out

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

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  • erasing

    Erasing Concepts from Diffusion Models

  • Wouldn't be surprising to see Automatic1111 to incopore it in A1111 web ui and add the eraser option for that f* logo. https://github.com/rohitgandikota/erasing

  • sd-webui-modelscope-text2video

    Discontinued Auto1111 extension consisting of implementation of text2video diffusion models (like ModelScope or VideoCrafter) using only Auto1111 webui dependencies [Moved to: https://github.com/deforum-art/sd-webui-text2video]

  • Yes

  • 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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  • diffusers

    🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

  • if anyone wants to help https://github.com/huggingface/diffusers/issues/2736

  • modelscope

    ModelScope: bring the notion of Model-as-a-Service to life.

  • watermark-removal

    a machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image

  • Better for watermark removal: https://github.com/zuruoke/watermark-removal

  • GPTQ-for-LLaMa

    4 bits quantization of LLaMA using GPTQ

  • LLaMA has been quantized to 4-bit with very little impact on performance (and even 3-bit and 2-bit, still performing pretty well). 8-bit quantization only just took off within the last year, let alone 4-bit. LLaMA itself is a model on par with the performance of GPT-3 (175B) with just 13B parameters, an order of magnitude reduction.

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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