mARTin-B78/tts-dgx-spark-faster-qwen3-tts
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fix: regenerate patch against current upstream (instruct param removed)

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The upstream openai_server.py removed the instruct parameter from the
generate_voice_clone call, breaking the old patch context. Regenerated
from a fresh upstream clone with all four changes:
- non_streaming_mode=True in _stream_chunks and create_speech
- per-voice temperature/top_k/top_p in both generation paths
- --max-seq-len argument added to _parse_args
- max_seq_len=args.max_seq_len passed to FasterQwen3TTS.from_pretrained

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
mARTin-B78 2026-05-30 14:43:43 +02:00
parent 1fc2f9c909
commit 40786314ef
1 changed files with 12 additions and 10 deletions
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20
patches/openai_server.patch
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@ -1,11 +1,11 @@
diff --git a/examples/openai_server.py b/examples/openai_server.py
index 61047ea..2b0c8bb 100644
index 2199e14..cb44644 100644
--- a/examples/openai_server.py
+++ b/examples/openai_server.py
@@ -187,7 +187,10 @@ async def _stream_chunks(voice_cfg: dict, text: str) -> AsyncGenerator[bytes, No
@@ -185,7 +185,10 @@ async def _stream_chunks(voice_cfg: dict, text: str) -> AsyncGenerator[bytes, No
ref_audio=voice_cfg["ref_audio"],
ref_text=voice_cfg.get("ref_text", ""),
chunk_size=voice_cfg.get("chunk_size", 12),
instruct=voice_cfg.get("instruct"),
- non_streaming_mode=False,
+ non_streaming_mode=True,
+ temperature=voice_cfg.get("temperature", 0.8),
@ -14,10 +14,10 @@ index 61047ea..2b0c8bb 100644
):
q.put(chunk)
except Exception as exc:
@@ -252,6 +255,10 @@ async def create_speech(req: SpeechRequest):
@@ -249,6 +252,10 @@ async def create_speech(req: SpeechRequest):
language=voice_cfg.get("language", "Auto"),
ref_audio=voice_cfg["ref_audio"],
ref_text=voice_cfg.get("ref_text", ""),
instruct=voice_cfg.get("instruct"),
+ non_streaming_mode=True,
+ temperature=voice_cfg.get("temperature", 0.8),
+ top_k=voice_cfg.get("top_k", 50),
@ -25,17 +25,19 @@ index 61047ea..2b0c8bb 100644
)
audio_arrays, sr = await loop.run_in_executor(None, _generate)
@@ -306,4 +309,5 @@ def _parse_args():
@@ -306,6 +313,7 @@ def _parse_args():
p.add_argument("--host", default="0.0.0.0", help="Bind host (default: 0.0.0.0)")
p.add_argument("--port", type=int, default=8000, help="Bind port (default: 8000)")
p.add_argument("--device", default="cuda", help="Torch device (default: cuda)")
+ p.add_argument("--max-seq-len", type=int, default=4096, help="Max sequence length for CUDA graph static cache (default: 4096)")
return p.parse_args()
@@ -341,6 +349,7 @@ def main():
logger.info("Loading model %s on %s …", args.model, args.device)
tts_model = FasterQwen3TTS.from_pretrained(
@@ -344,6 +352,7 @@ def main():
args.model,
device=args.device,
dtype=torch.bfloat16,
+ max_seq_len=args.max_seq_len,
)
SAMPLE_RATE = tts_model.sample_rate
logger.info("Model ready. Sample rate: %d Hz", SAMPLE_RATE)