Edit an image locally

Edit an image from your files using an image editing brief and your chosen local model

Runs MFLUX on your Apple Silicon Mac through its public, MIT-licensed MCP server. Uses your computer for inference. The selected model is explicit; no paid provider or Trillion inference fallback. First use downloads that model. Returns the completed PNG in your files.

What it asks for

  • brief (Needed, words): Describe the picture or requested edit. Include the scene and visual style; never copy a page title or subtitle into the image.
  • model (Needed, words): The local model name you chose, from the available local image models. Its weight license must permit this use.
  • steps (Optional, number):
  • seed (Optional, number):
  • quantize (Optional, one of):
  • image (Needed, words): An image identity from your files.

Use it from your AI

Connect the AI you already use to Trillion once. Then ask in your own words; your AI finds this tool by what it does and runs it.

Say to your AI: “Use Trillion to edit an image from your files using an image editing brief and your chosen local model”

What your AI calls: run_tool {"tool_id":"tool:edit-local-image"}