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How to turn a Fountain screenplay into a scene-by-scene storyboard with AI Movie Studiov2

Import a Fountain or Final Draft script, then build shots from its dialogue and action.

  • Content
  • Intermediate
  • 90 minutes
  • From the README
  • Any agent

Authorization notice. AI Movie Studiov2 is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.

Who it is forA screenwriter or small film team with a finished script who needs a visual storyboard for a pitch or shoot plan.

The problemBreaking a script into scenes and shots by hand is slow, and the mood and lighting for each scene have to be decided from scratch.

The outcomeA project with scenes created from the script, each with inferred time of day, mood, and lighting, and shots built from copied dialogue and action.

What you need first

  • A local ComfyUI install, or an account with Fal or Replicate and its API key
  • The local setup described in the README Quick Start section (the setup commands are not in the text provided, so follow that section directly)
  • A web browser for the app interface
  • Enough local disk space and GPU memory for the ComfyUI models you choose, if running locally

Steps

  1. Open the app in a web browser and create a new project.
  2. Import your screenplay as a Fountain (.fountain, .txt, or .spmd) or Final Draft (.fdx) file.
  3. Review the scenes the parser created and check the inferred time of day, mood, and lighting.
  4. Copy dialogue and action from each scene into new shots, then generate storyboard frames for them.
  5. Use the timeline to assemble the shots and export to XML for editing in Premiere, DaVinci, or similar tools.

Prompt for your agent

Using the Heroesjouney/AIMovieStudiov2 repo, import the screenplay at <path to .fountain file> and list every scene with its time of day, mood, and lighting. Confirm the scene count matches the number of scene headings in the source file.

Caveat. The README describes the parser's inference of mood and lighting, so check those values against your script because the app does not say how accurate they are.

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