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docs: list the StreamDiffusion app under external examples
Its axes (static, persistent, WebSocket, hour) are already covered here, so per the curated-set policy it ships as its own repo and is linked instead. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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@@ -161,11 +161,12 @@ Each entry lists its `runners` with an `app`, `version`, capacity, and `price_in
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Apps that integrate the live runner and live in their own repos — production deployments and standalone examples alike. This table is links-only: the code, CI, and support stay with the author.
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| Project | What it is | Transport |
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| ----------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------- | ------------------- |
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| [daydreamlive/scope](https://github.com/daydreamlive/scope/tree/ja/runner) | Real-time AI video with downloadable LoRA models | WebSocket + trickle |
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| [livepeer/api-proxy](https://github.com/livepeer/api-proxy) | Attach several API endpoints dynamically — key storage and request stats for operators | HTTP |
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| [Gideonjon/vllm-realtime-livepeer-runner](https://github.com/Gideonjon/vllm-realtime-livepeer-runner) | Real-time speech-to-text — trickle audio in, WebSocket transcript out, with live metrics | WebSocket + trickle |
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| Project | What it is | Transport |
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| ------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------- | ------------------- |
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| [daydreamlive/scope](https://github.com/daydreamlive/scope/tree/ja/runner) | Real-time AI video with downloadable LoRA models | WebSocket + trickle |
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| [livepeer/api-proxy](https://github.com/livepeer/api-proxy) | Attach several API endpoints dynamically — key storage and request stats for operators | HTTP |
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| [Gideonjon/vllm-realtime-livepeer-runner](https://github.com/Gideonjon/vllm-realtime-livepeer-runner) | Real-time speech-to-text — trickle audio in, WebSocket transcript out, with live metrics | WebSocket + trickle |
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| [livepeer/streamdiffusion-livepeer-runner](https://github.com/livepeer/streamdiffusion-livepeer-runner) | Realtime prompt-driven img2img — a third-party StreamDiffusion server run unmodified, reverse-proxied | WebSocket + MJPEG |
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**Building one?** Start from [**template-livepeer-runner**](https://github.com/livepeer/template-livepeer-runner) — a working app, client, and compose setup you can run in one command, offchain or on-chain. The examples here are not copyable as-is: each one's `compose.yml` pulls the orchestrator from a shared file one directory up.
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