This ComfyUI workflow turns written scripts into expressive speech using ElevenLabs’ Eleven v4 model. It’s designed around two clear paths: use a preset voice from your ElevenLabs library or instantly clone a voice from an audio sample. The core generation happens in the ElevenLabsTextToSpeech node, which reads your script (written in a Note/MarkdownNote) and applies performance directions you embed as inline tags like [whispers], [excited], [laughs], [sighs], [sarcastic], and [crying]. SaveAudioAdvanced then writes a single audio file to disk.
Technically, Option 1 (Use Preset Voice) routes a selection from ElevenLabsVoiceSelector into ElevenLabsTextToSpeech along with your script and the Eleven v4 model choice. Option 2 (Create a Voice Clone) feeds audio from LoadAudio or RecordAudio into ElevenLabsInstantVoiceClone, which returns a temporary voice you can target in the TTS node. Only one option group should be enabled at a time (select the group and press Ctrl-B to un-bypass it). Because Eleven v4 treats the prompt as a performance script, the workflow lets you direct tone and delivery directly in text while keeping the node graph compact and easy to iterate for narration, audiobooks, and character voiceovers.
API
從程式碼使用此工作流
每個 Comfy 工作流都是一個 JSON 圖。下方的 payload 就是此工作流，與 ComfyUI 執行時完全相同 — 你可以從此 URL 取得、放入版本控制，或在 ComfyUI 載入並逐節點執行。
使用 Comfy SDK 以 TypeScript 或 Python 執行。相同程式碼可用於 Comfy Cloud 或你自架的 ComfyUI — 只需更改 base URL。
// Install (beta)
npm i @comfyorg/sdk
// Run this workflow (TypeScript)
import { Comfy } from "@comfyorg/sdk";
const client = new Comfy({ apiKey: "comfyui-..." });
const wf = await client.workflows.fromFile("workflow_api.json");
const job = await client.run(wf);
await job.getOutputs("<output-node-id>")[0].toFile("output.png");SDK 需使用 API 格式的工作流：請在 ComfyUI 開啟此工作流，並使用 檔案 → 匯出工作流（API）。
