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vllm-omni/vllm_omni/model_executor/models/indextts2/pipeline.py
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2026-08-11 23:00:35 +00:00

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Python

# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""IndexTTS2 pipeline: GPT AR talker (text → mel codes) → S2Mel + BigVGAN (mel → audio).
Two-stage non-streaming pipeline. S2Mel flow matching (25 Euler steps) requires
the full mel code sequence, so async_chunk is not applicable.
"""
from vllm_omni.config.stage_config import (
PipelineConfig,
StageExecutionType,
StagePipelineConfig,
)
_PROC = "vllm_omni.model_executor.stage_input_processors.indextts2"
INDEXTTS2_PIPELINE = PipelineConfig(
model_type="indextts2",
default_deploy_config_name="indextts2.yaml",
model_arch="IndexTTS2TalkerForConditionalGeneration",
stages=(
StagePipelineConfig(
stage_id=0,
model_stage="indextts2_talker",
execution_type=StageExecutionType.LLM_AR,
input_sources=(),
owns_tokenizer=True,
engine_output_type="latent",
extras={"skip_tokenizer_init": True, "tokenizer": "gpt2"},
custom_process_next_stage_input_func=f"{_PROC}.talker2s2mel_full_payload",
sampling_constraints={
"detokenize": False,
"stop_token_ids": [8193],
},
),
StagePipelineConfig(
stage_id=1,
model_stage="indextts2_s2mel_decoder",
execution_type=StageExecutionType.LLM_GENERATION,
input_sources=(0,),
final_output=True,
final_output_type="audio",
engine_output_type="audio",
model_arch="IndexTTS2S2MelDecoder",
sync_process_input_func=f"{_PROC}.talker2s2mel_token_only",
extras={"skip_tokenizer_init": True},
sampling_constraints={"detokenize": True},
),
),
)
INDEXTTS25_PIPELINE = PipelineConfig(
model_type="indextts2_5",
default_deploy_config_name="indextts2_5.yaml",
model_arch="IndexTTS25TalkerForConditionalGeneration",
stages=(
StagePipelineConfig(
stage_id=0,
model_stage="indextts2_5_talker",
execution_type=StageExecutionType.LLM_AR,
input_sources=(),
owns_tokenizer=True,
engine_output_type="latent",
extras={"skip_tokenizer_init": True},
custom_process_next_stage_input_func=f"{_PROC}.talker2s2mel_full_payload",
sampling_constraints={
"detokenize": False,
"stop_token_ids": [8193],
},
),
StagePipelineConfig(
stage_id=1,
model_stage="indextts2_5_s2mel_decoder",
execution_type=StageExecutionType.LLM_GENERATION,
input_sources=(0,),
final_output=True,
final_output_type="audio",
engine_output_type="audio",
model_arch="IndexTTS25S2MelDecoder",
sync_process_input_func=f"{_PROC}.talker2s2mel_token_only",
extras={"skip_tokenizer_init": True},
sampling_constraints={"detokenize": True},
),
),
)