I hope that by A1111 is everything fine. Best wishes for great man! In mean time lets, develope Vlad fork

This page summarizes the projects mentioned and recommended in the original post on /r/StableDiffusion
stable-diffusion Python generative-art Pytorch text2image

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.
www.influxdata.com
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SaaSHub helps you find the best software and product alternatives
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  • automatic

    SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models

    • vladmandic/automatic: Opinionated fork/implementation of Stable Diffusion (github.com)

  • seait

    SEAIT is a user-friendly application that simplifies the installation process of AI-related projects

  • 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

  • stable-diffusion-webui

    Stable Diffusion web UI

    • amd , use that, follow every step, add the args, if you have more than 12gb vram I say delete the --lowram. I got a 6900xt and I'm currently generating 768x1152 30 steps GFC9 every 1:30m, or 30 seconds for 512x768

  • SHARK

    SHARK - High Performance Machine Learning Distribution

    • Just that I know of: https://github.com/nod-ai/SHARK

  • onnx-web

    web UI for GPU-accelerated ONNX pipelines like Stable Diffusion, even on Windows and AMD

  • StableDiffusionUI

    Stable Diffusion UI: Diffusers (CUDA/ONNX)

    • https://www.reddit.com/r/StableDiffusion/comments/12aop8k/sd_ui_for_amd_gpu_windows/ https://github.com/ForserX/StableDiffusionUI

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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