Jared WenandSYLAR
554233208f
Signed-off-by: JaredforReal <w13431838023@gmail.com> Signed-off-by: Jared Wen <w13431838023@gmail.com> Co-authored-by: SYLAR <125541396+lishunyang12@users.noreply.github.com>
48 lines
1.6 KiB
Python
48 lines
1.6 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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"""GLM-Image pipeline topologies (frozen).
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Two-stage (default):
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Stage 0: AR — multimodal understanding + token_ids generation
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Stage 1: DiT — diffusion image generation
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"""
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from vllm_omni.config.stage_config import (
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PipelineConfig,
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StageExecutionType,
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StagePipelineConfig,
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)
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GLM_IMAGE_PIPELINE = PipelineConfig(
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model_type="glm_image",
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model_arch="GlmImageForConditionalGeneration",
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hf_architectures=("GlmImageForConditionalGeneration",),
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diffusers_class_name="GlmImagePipeline",
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stages=(
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StagePipelineConfig(
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stage_id=0,
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model_stage="ar",
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execution_type=StageExecutionType.LLM_AR,
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requires_multimodal_data=True,
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input_sources=(),
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final_output=False,
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owns_tokenizer=True,
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model_arch="GlmImageForConditionalGeneration",
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engine_output_type="token_ids",
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model_subdir="vision_language_encoder",
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tokenizer_subdir="processor",
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),
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StagePipelineConfig(
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stage_id=1,
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model_stage="dit",
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execution_type=StageExecutionType.DIFFUSION,
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input_sources=(0,),
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requires_multimodal_data=True,
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final_output=True,
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final_output_type="image",
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model_arch="GlmImagePipeline",
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custom_process_input_func="vllm_omni.model_executor.stage_input_processors.glm_image.ar2diffusion",
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omni_kv_config={"need_recv_cache": False},
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),
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),
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)
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