Google researchers achieve performance breakthrough, rendering Stable Diffusion images in sub-12 seconds on a mobile phone. Generative AI models running on your mobile phone is nearing reality.

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

    Nod.ai 🦈 version of 👻 . You probably want to start at https://github.com/nod-ai/shark for the product and the upstream IREE repository for mainline development. This repository houses branches and configuration that aren't ready for commit upstream. (by nod-ai)

    • you have been able to with shark by nod.ai without any special drivers, just launch exe. you can generate 768x512 with a 6600xt in 12 seconds. inpaintaing, outpainting, img2img, txt2img, lora, upscaling

  • stable-diffusion-webui

    Stable Diffusion web UI

    • The good news is that there is a somewhat functional workaround using direct-ml and a few code changes. It would be great if there was official support, however, as some functionality, such as training hypernetworks, is non-functional due to Nvidia bias.

  • 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.

    InfluxDB logo

  • sd-parseq

    Parameter sequencer for Stable Diffusion

    • rewbs/sd-parseq (github.com)

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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