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How to add custom models or run Upscayl from source with Upscayl

Load extra models from upscayl/custom-models, or run the app from source with npm.

Short answer: Get more models from github.com/upscayl/custom-models and point Upscayl at their folder; then To run from source, volta install node, then git clone https://github.com/upscayl/upscayl; cd Upscayl, run npm install, then npm run start. All steps.

  • Content
  • Intermediate
  • 30 minutes
  • From the README
  • Claude Code
  • Codex
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Who it is forA tinkerer who wants anime or texture specific models, or to change the app.

The problemThe default models are general purpose and may not suit your images.

The outcomeUpscayl running with custom models, or a local dev build you can change.

What you need first

  • A Vulkan-compatible GPU (most integrated GPUs do not work)
  • Linux, macOS 12+ or Windows 10+
  • Node.js (Volta recommended) only if you build from source

Steps

  1. Get more models from github.com/upscayl/custom-models and point Upscayl at their folder
  2. To run from source, volta install node, then git clone https://github.com/upscayl/upscayl
  3. cd Upscayl, run npm install, then npm run start
  4. Package your own build with npm run dist
  5. For scripts, use the separate upscayl-ncnn CLI

Prompt for your agent

Clone upscayl/upscayl, run it from source with `npm run start`, add the <model> from upscayl/custom-models, and compare it with the default model on <image>.

Caveat. This card is written from the upscayl/upscayl README, not from a test run by Deduped. Before you start, make sure you have a Vulkan-compatible GPU. Check the repo for newer instructions before you rely on these steps.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for upscayl/upscayl and "Add custom models or run Upscayl from source"

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claude mcp add --transport http deduped https://dedupedai.com/mcp

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