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authorhistoria <historiavg@proton.me>2026-08-18 23:29:16 -0400
committerhistoria <historiavg@proton.me>2026-08-18 23:29:16 -0400
commita89daa1af05e2816f970d6a7b28a07df4f102f7d (patch)
treec9d4810a6d7657b5635fa85a32284ef51850095d
parentf3e21980320c1708ff17cc6f699a9aa4758accdf (diff)
downloadtts-audiobook-generator-a89daa1af05e2816f970d6a7b28a07df4f102f7d.tar.gz
readme
-rw-r--r--README.md4
1 files changed, 2 insertions, 2 deletions
diff --git a/README.md b/README.md
index 433370f..fd24a8d 100644
--- a/README.md
+++ b/README.md
@@ -85,7 +85,7 @@ python audiobook.py
Change the voice settings in `converter/config.py`.
-## Using the `--faster` backend
+## Optional: Using the `--faster` backend
Instead of the Qwen Gradio demos, `--faster` talks to the OpenAI-compatible server from [faster-qwen3-tts](https://github.com/andimarafioti/faster-qwen3-tts), which uses CUDA graph capture for roughly 5-10x faster inference with the same models. **It requires an NVIDIA GPU**.
@@ -162,7 +162,7 @@ python audiobook.py --faster [--faster-voice NAME]
Other options and defaults are configured in `converter/config.py`
-## FlashAttention for qwen-tts-demo server (optional)
+## Optional: FlashAttention for qwen-tts-demo server
This is **not** used with the `--faster` backend. The Gradio server tries to use FlashAttention 2 by default, but requires `--no-flash-attn` without it. On supported GPUs FlashAttention can give a modest speedup.