b6a4baa659
Signed-off-by: Canlin Guo <canlinguosdu@gmail.com> Signed-off-by: lishunyang12 <lishunyang12@163.com> Signed-off-by: yuanwu <yuan.wu@intel.com> Co-authored-by: lishunyang12 <lishunyang12@163.com> Co-authored-by: yuanwu <yuan.wu@intel.com>
71 lines
2.9 KiB
Python
71 lines
2.9 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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from __future__ import annotations
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import inspect
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from vllm_omni.diffusion.data import OmniDiffusionConfig
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from vllm_omni.diffusion.model_metadata import get_diffusion_model_metadata
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from vllm_omni.diffusion.models.diffusers_adapter.pipeline_utils import resolve_diffusers_pipeline_class
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from vllm_omni.diffusion.registry import DiffusionModelRegistry
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def supports_multimodal_input(od_config: OmniDiffusionConfig) -> tuple[bool, bool]:
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if (
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od_config.diffusion_load_format == "diffusers"
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and (pipe_cls := resolve_diffusers_pipeline_class(od_config)) is not None
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):
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signature = inspect.signature(pipe_cls.__call__)
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support_image_input = "image" in signature.parameters
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support_audio_input = (
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"audio" in signature.parameters or "audio_latents" in signature.parameters
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) # ref. LTX-2 format
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return support_image_input, support_audio_input
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supports_image_input = False
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supports_audio_input = False
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model_cls = DiffusionModelRegistry._try_load_model_cls(od_config.model_class_name)
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if model_cls is not None:
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supports_image_input = bool(getattr(model_cls, "support_image_input", False))
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supports_audio_input = bool(getattr(model_cls, "support_audio_input", False))
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return supports_image_input, supports_audio_input
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def image_color_format(model_class_name: str) -> str:
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model_cls = DiffusionModelRegistry._try_load_model_cls(model_class_name)
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return getattr(model_cls, "color_format", "RGB")
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def supports_audio_output(model_class_name: str) -> bool:
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model_cls = DiffusionModelRegistry._try_load_model_cls(model_class_name)
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if model_cls is None:
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return False
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return bool(getattr(model_cls, "support_audio_output", False))
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def get_diffusion_output_type(model_class_name: str | None) -> str:
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"""Return the declared final modality for a diffusion model."""
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declared_output_type = get_diffusion_model_metadata(model_class_name).final_output_type
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if declared_output_type is not None:
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return declared_output_type
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if model_class_name and supports_audio_output(model_class_name):
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return "audio"
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return "image"
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def get_dummy_run_num_frames(model_class_name: str, supports_audio_input: bool) -> int:
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"""Get num_frames for the dummy warmup run. Returns 0 to skip warmup."""
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model_cls = DiffusionModelRegistry._try_load_model_cls(model_class_name)
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if model_cls is not None and hasattr(model_cls, "dummy_run_num_frames"):
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return int(getattr(model_cls, "dummy_run_num_frames"))
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return 2 if supports_audio_input or supports_audio_output(model_class_name) else 1
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def get_dummy_run_num_image_inputs(model_class_name: str) -> int:
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"""Return the maximum advertised image-input count for profiling."""
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return get_diffusion_model_metadata(model_class_name).max_multimodal_image_inputs or 1
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