Manga AI
Create editable manga pages from any story
What it does
Start creating manga for free with MangaAI. Turn stories into complete pages with panels, characters, and speech bubbles. AI generation uses credits.
Create complete manga pages with the AI manga generator from MangaAI. Turn stories into editable panels, consistent characters, dialogue, and speech bubbles.
Use this AI manga generator to turn a script or story into complete manga pages with layouts, recurring characters, dialogue, and speech bubbles. Everything stays editable, so you can shape each page even if you do not draw. Turn a written idea into an editable manga page in four steps. You decide the story structure, character references, panel artwork, and final layout. Type a story, script, or scene prompt. The workspace identifies the key beats and turns them into structured panels for a readable page plan. Choose a visual direction that fits the genre, from classic monochrome and expressive sketch work to full-color manga or vertical webtoon art. Define facial traits, clothing, colors,…from mangaai.me
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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