How hard is it to "code" a tool based on segment-anything and Stable diffusion ?

This page summarizes the projects mentioned and recommended in the original post on /r/StableDiffusion
stable-diffusion stable-diffusion-webui stable-diffusion-webui-plugin segment-anything

InfluxDB - Power Real-Time Data Analytics at Scale
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  • segment-anything

    The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

    • There are some snippets of Python code on the segment-anything github readme that show how to do this. Once you have it installed you can import functions from the segment-anything module, load a segmentation model, and generate masks for input images that match the prompt of your choice. You don't need Stable Diffusion for this, but you could load it through diffusers to do things like inpaint your images using the masks.

  • sd-webui-segment-anything

    Segment Anything for Stable Diffusion WebUI

    • Checkout this code https://github.com/continue-revolution/sd-webui-segment-anything

  • 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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