Localghost: a ghost story that knows where you live (and runs on your laptop)

说明与用途

Localghost 是一个本地 Web 应用，使用开源模型、语音合成和音效生成个性化恐怖故事，完全在用户机器上运行，无需网络连接。

问题

Users want a personalized horror experience that runs entirely offline without uploading personal photos to external servers.

结果

Localghost delivers a fully local, privacy‑preserving horror story experience that runs offline, with customizable scare levels, voice, and sound effects, and optional premium voice integration.

工作流

• 1. User uploads photos and optional notes via browser.
• 2. Photos are downscaled, EXIF stripped, and analyzed by a set‑designer pass to identify objects.
• 3. The story model (Gemma 3 4B) reads the photo and writes a cue script with tags.
• 4. A lightweight parser streams the script into events (audio, lights, captions).
• 5. Kokoro‑82M synthesizes voice in Web Workers (ONNX Runtime Web / WebAssembly).
• 6. WebAudio generates sound effects and light pulses based on tags.
• 7. The story plays with synchronized audio, lights, and captions, optionally using ElevenLabs for higher quality voice.
• 8. The app caches audio and photo analysis for instant replay.
• 9. Users can toggle premium voice or reduce flashing for accessibility.

证据

Localghost is a horror storyteller that lives in your browser. You choose how scared you want to be, from 1 (campfire) to 5 (nightmare).

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The voice model downloads once (about 90 MB) and then runs in your browser.

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Your photos never leave your machine in the default setup.

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The app first asks Ollama whether the model can actually see images. The first Gemma build I pulled couldn't, and instead of sending photos to a model that can't use them, it falls back to your notes.

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On my CPU-only laptop (Ryzen 7 7730U, 16 GB), Kokoro took around 5–11 seconds to synthesize a sentence that plays for 3–4 seconds.

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