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    PAMA AI

    PAMA AI

    PAMA turns one script into consistent characters, directed storyboards, moving panels, and sound inside a production-ready AI comic studio.

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    AI Tools·Design & Creative
    #ai·#generative-ai·#text-to-image·#text-to-video·#animation·#video·#creator-tools·#content·#prompt-engineering
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    About this product

    PAMA is an AI comic generator that converts a single script into a directed sequence of consistent characters, storyboard panels, motion clips, and sound inside one production workspace. It is built around continuity rather than one-off image generation, so faces, outfits, and locations stay coherent from scene to scene.

    What is PAMA?

    PAMA is a browser-based AI comic studio that takes a script, screenplay, narration, or short story idea as input and outputs an editable comic sequence with storyboard frames and short motion clips. It runs in the PAMA Studio workspace, where script analysis, character and location bibles, image generation, motion generation, and credit tracking stay connected to the same project. The page does not name a company behind the product.

    Key Features

    • Script intelligence — Breaks long-form writing into cinematic scenes with dialogue, duration, story beats, camera direction, and mood already organized.
    • Reusable character bibles — Locks names, appearance, wardrobe, personality, and reference prompts before image generation begins.
    • Location continuity — Builds a shared location bible so recurring rooms, streets, and worlds stay recognizable across every frame.
    • Directed storyboards — Generates scene-by-scene comic frames with editable visual prompts, camera choices, cast, and production status.
    • Motion from approved frames — Turns a selected storyboard image into a motion clip, keeping the source frame as the visual anchor for the shot.
    • Control without lock-in — Lets users choose generation models, edit prompts, retry individual scenes, and track transparent credit use instead of restarting a project.
    • Configurable model providers — Supports OpenRouter or OpenAI-compatible models for script analysis and configurable Fal or Kie models for image and video generation.
    • Project media storage — Copies successful images to project storage so the storyboard does not depend on a temporary provider URL, and stores completed MP4 files in the same workspace.

    Who is it for?

    • Serialized comic and visual fiction creators — Develop recurring characters, locations, and scene language for episodic stories while testing different compositions, moods, and motion treatments.
    • Short-form video producers — Plan concise scenes for social video, choose vertical or widescreen format, and animate the strongest storyboard frames.
    • Directors and small creative teams — Use PAMA as a visual planning layer before a larger shoot, animation pass, or client review to compare shots and clarify character blocking.

    What can you do with PAMA?

    • Serialized comics: Writers and independent creators keep a shared visual bible while testing compositions and moods without rebuilding cast descriptions for every frame.
    • Vertical shorts and moving comics: Producers plan concise scenes for social video, pick a vertical or widescreen format, and animate the strongest storyboard frames from first beat to final clip.
    • Previsualization: Directors and small teams compare shots, clarify character blocking, and share a coherent sequence while retaining the prompts and production decisions behind every scene.

    How does PAMA work?

    1. Paste a screenplay, narration, dialogue scene, or short idea; PAMA identifies cast, recurring locations, story beats, camera direction, mood, dialogue, and a practical duration for each scene.
    2. Review character appearance, clothing, personality, and continuity tags alongside location descriptions and visual anchors, then edit any scene without replacing the project bible.
    3. Generate one storyboard frame at a time, inspect composition, and revise the visual or negative prompt before moving on; each task has a visible state, individual retry controls, and a defined credit cost.
    4. Turn an approved image into a short motion clip using its scene-specific movement prompt and duration, with the source frame as the visual anchor.

    Pricing

    PAM

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    01_LAUNCH INSIGHTS

    Pricing
    Paid
    Launch week
    Nov 30 – Dec 6, 2026 (UTC)
    Launch method
    Free Launch
    Status
    Queued
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