I made a Stable Diffusion for Anime app in your Pocket! Running 100% offline on your Apple Devices (iPhone, iPad, Mac)

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

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 - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
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  • maple-diffusion

    Stable Diffusion inference on iOS / macOS using MPSGraph

    • Yup currently I haven't add that kind of function yet, but you can build a test app with your own model on this open source project very easily using Xcode 14 and iOS 16, here is the detailed instruction: https://github.com/madebyollin/maple-diffusion, you can run the maple-convert.py in this repo to convert your ckpt model to a format that Apple accepts and build a demo app on your iOS device with 6GB RAM

  • stable-diffusion-webui

    Stable Diffusion web UI

    • Try one of the many open source projects for stable diffusion to run it locally. A really popular one would be the WebUI by Automatic1111. There should be an installation guide, and you can always ask YouTube too. A lot of handy guides over there

  • 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

  • List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words

    List of Dirty, Naughty, Obscene, and Otherwise Bad Words

    • No problem! I wrote a short json file and Swift script to remove the nsfw words from the prompt during the image generation process, therefore it's not based on the negative prompt. The json file is a txt full with nsfw words so the app can check and remove unwanted prompts, e.g.: https://github.com/LDNOOBW/List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words

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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