Signed-off-by: linyueqian <linyueqian@outlook.com> Signed-off-by: Yueqian Lin <70319226+linyueqian@users.noreply.github.com> Co-authored-by: Hongsheng Liu <liuhongsheng4@huawei.com>
159 lines
5.5 KiB
Python
159 lines
5.5 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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import importlib
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from vllm.model_executor.models.registry import _LazyRegisteredModel, _ModelRegistry
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from vllm_omni.diffusion.data import OmniDiffusionConfig
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_DIFFUSION_MODELS = {
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# arch:(mod_folder, mod_relname, cls_name)
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"QwenImagePipeline": (
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"qwen_image",
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"pipeline_qwen_image",
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"QwenImagePipeline",
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),
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"QwenImageEditPipeline": (
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"qwen_image",
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"pipeline_qwen_image_edit",
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"QwenImageEditPipeline",
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),
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"QwenImageEditPlusPipeline": (
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"qwen_image",
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"pipeline_qwen_image_edit_plus",
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"QwenImageEditPlusPipeline",
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),
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"QwenImageLayeredPipeline": (
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"qwen_image",
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"pipeline_qwen_image_layered",
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"QwenImageLayeredPipeline",
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),
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"ZImagePipeline": (
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"z_image",
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"pipeline_z_image",
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"ZImagePipeline",
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),
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"OvisImagePipeline": (
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"ovis_image",
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"pipeline_ovis_image",
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"OvisImagePipeline",
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),
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"WanPipeline": (
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"wan2_2",
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"pipeline_wan2_2",
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"Wan22Pipeline",
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),
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"StableAudioPipeline": (
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"stable_audio",
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"pipeline_stable_audio",
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"StableAudioPipeline",
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),
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"WanImageToVideoPipeline": (
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"wan2_2",
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"pipeline_wan2_2_i2v",
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"Wan22I2VPipeline",
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),
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"LongCatImagePipeline": (
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"longcat_image",
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"pipeline_longcat_image",
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"LongCatImagePipeline",
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),
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"BagelPipeline": (
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"bagel",
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"pipeline_bagel",
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"BagelPipeline",
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),
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"LongCatImageEditPipeline": (
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"longcat_image",
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"pipeline_longcat_image_edit",
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"LongCatImageEditPipeline",
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),
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"StableDiffusion3Pipeline": (
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"sd3",
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"pipeline_sd3",
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"StableDiffusion3Pipeline",
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),
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}
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DiffusionModelRegistry = _ModelRegistry(
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{
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model_arch: _LazyRegisteredModel(
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module_name=f"vllm_omni.diffusion.models.{mod_folder}.{mod_relname}",
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class_name=cls_name,
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)
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for model_arch, (mod_folder, mod_relname, cls_name) in _DIFFUSION_MODELS.items()
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}
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)
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def initialize_model(
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od_config: OmniDiffusionConfig,
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):
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model_class = DiffusionModelRegistry._try_load_model_cls(od_config.model_class_name)
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if model_class is not None:
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model = model_class(od_config=od_config)
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# Configure VAE memory optimization settings from config
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if hasattr(model.vae, "use_slicing"):
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model.vae.use_slicing = od_config.vae_use_slicing
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if hasattr(model.vae, "use_tiling"):
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model.vae.use_tiling = od_config.vae_use_tiling
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return model
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else:
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raise ValueError(f"Model class {od_config.model_class_name} not found in diffusion model registry.")
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_DIFFUSION_POST_PROCESS_FUNCS = {
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# arch: post_process_func
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# `post_process_func` function must be placed in {mod_folder}/{mod_relname}.py,
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# where mod_folder and mod_relname are defined and mapped using `_DIFFUSION_MODELS` via the `arch` key
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"QwenImagePipeline": "get_qwen_image_post_process_func",
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"QwenImageEditPipeline": "get_qwen_image_edit_post_process_func",
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"QwenImageEditPlusPipeline": "get_qwen_image_edit_plus_post_process_func",
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"ZImagePipeline": "get_post_process_func",
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"OvisImagePipeline": "get_ovis_image_post_process_func",
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"WanPipeline": "get_wan22_post_process_func",
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"StableAudioPipeline": "get_stable_audio_post_process_func",
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"WanImageToVideoPipeline": "get_wan22_i2v_post_process_func",
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"LongCatImagePipeline": "get_longcat_image_post_process_func",
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"BagelPipeline": "get_bagel_post_process_func",
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"LongCatImageEditPipeline": "get_longcat_image_post_process_func",
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"StableDiffusion3Pipeline": "get_sd3_image_post_process_func",
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}
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_DIFFUSION_PRE_PROCESS_FUNCS = {
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# arch: pre_process_func
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# `pre_process_func` function must be placed in {mod_folder}/{mod_relname}.py,
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# where mod_folder and mod_relname are defined and mapped using `_DIFFUSION_MODELS` via the `arch` key
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"QwenImageEditPipeline": "get_qwen_image_edit_pre_process_func",
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"QwenImageEditPlusPipeline": "get_qwen_image_edit_plus_pre_process_func",
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"LongCatImageEditPipeline": "get_longcat_image_edit_pre_process_func",
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"QwenImageLayeredPipeline": "get_qwen_image_layered_pre_process_func",
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"WanPipeline": "get_wan22_pre_process_func",
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"WanImageToVideoPipeline": "get_wan22_i2v_pre_process_func",
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}
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def _load_process_func(od_config: OmniDiffusionConfig, func_name: str):
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"""Load and return a process function from the appropriate module."""
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mod_folder, mod_relname, _ = _DIFFUSION_MODELS[od_config.model_class_name]
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module_name = f"vllm_omni.diffusion.models.{mod_folder}.{mod_relname}"
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module = importlib.import_module(module_name)
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func = getattr(module, func_name)
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return func(od_config)
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def get_diffusion_post_process_func(od_config: OmniDiffusionConfig):
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if od_config.model_class_name not in _DIFFUSION_POST_PROCESS_FUNCS:
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return None
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func_name = _DIFFUSION_POST_PROCESS_FUNCS[od_config.model_class_name]
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return _load_process_func(od_config, func_name)
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def get_diffusion_pre_process_func(od_config: OmniDiffusionConfig):
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if od_config.model_class_name not in _DIFFUSION_PRE_PROCESS_FUNCS:
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return None # Return None if no pre-processing function is registered (for backward compatibility)
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func_name = _DIFFUSION_PRE_PROCESS_FUNCS[od_config.model_class_name]
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return _load_process_func(od_config, func_name)
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