A Web UI for Stable Diffusion

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • stable-diffusion-webui

    Discontinued Stable Diffusion web UI [Moved to: https://github.com/Sygil-Dev/sygil-webui] (by sd-webui)

  • Nice to know tricks for /sd-webui/

    - activate advanced: create prompt matrix and use

    @a painting of a (forest|desert|swamp|island|plains) painted by (claude monet|greg rutkowski|thomas kinkade)

    - add different relative weights for words in a prompt:

    watercolor :0.5 painting :0.2 by picasso :0.3

    - Generate much larger images with your limited vram by using optimized versions of attention.py and model.py

    https://github.com/sd-webui/stable-diffusion-webui/discussio...

    - Generate "Loab the AI haunting woman" if you can (Try using textual inversion with negatively weighted prompts)

    https://www.cnet.com/science/what-is-loab-the-haunting-ai-ar...

  • stable-diffusion-webui

    Stable Diffusion web UI

  • 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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  • stable-diffusion

    Discontinued This version of CompVis/stable-diffusion features an interactive command-line script that combines text2img and img2img functionality in a "dream bot" style interface, a WebGUI, and multiple features and other enhancements. [Moved to: https://github.com/invoke-ai/InvokeAI] (by lstein)

  • I recently switched from a CPU-only version to this repo release 1.13: https://github.com/lstein/stable-diffusion

    The original txt2img and img2img scripts are a bit wonky and not all of the samplers work, but as long as you stick to dream.py and use a working sampler, I have had good luck with k_lms, then it works great and runs way faster than the cpu version.

    Works great on 32gb ram but I'm honestly tempted to sell this one and get a 64gb model once the m2 pros come around. This is capable of eating up all the ram you can throw at it to do multiple pictures simultaneously.

  • diffusers

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

  • Diffusers shows how to use the fp16 variant.

    https://github.com/huggingface/diffusers

  • nvidia-docker

    Discontinued Build and run Docker containers leveraging NVIDIA GPUs

  • There's some trickery and some details, but yes: https://github.com/NVIDIA/nvidia-docker

  • stable-diffusion

    A latent text-to-image diffusion model

  • Some people have been able to run on recent AMD cards with rocm: https://github.com/CompVis/stable-diffusion/issues/48

  • Linux-StableDiffusion-Script

    Discontinued A simple script to automate the installation and running of the hlky Stable Diffusion fork for Linux users. Please see my guide for running this on Linux: https://rentry.org/linux-sd

  • 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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