[diffusion] refactor: refactor pipeline folders (#13253)

This commit is contained in:
Mick
2025-11-20 12:56:51 +08:00
committed by GitHub
parent 2e3a69ae05
commit bc42c8c415
60 changed files with 303 additions and 300 deletions

View File

@@ -1,6 +1,5 @@
# Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
from sglang.multimodal_gen.configs.pipelines import PipelineConfig
from sglang.multimodal_gen.configs.pipeline_configs import PipelineConfig
from sglang.multimodal_gen.configs.sample import SamplingParams
from sglang.multimodal_gen.runtime.entrypoints.diffusion_generator import DiffGenerator

View File

@@ -1,16 +1,16 @@
# Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
from sglang.multimodal_gen.configs.pipelines.base import (
from sglang.multimodal_gen.configs.pipeline_configs.base import (
PipelineConfig,
SlidingTileAttnConfig,
)
from sglang.multimodal_gen.configs.pipelines.flux import FluxPipelineConfig
from sglang.multimodal_gen.configs.pipelines.hunyuan import (
from sglang.multimodal_gen.configs.pipeline_configs.flux import FluxPipelineConfig
from sglang.multimodal_gen.configs.pipeline_configs.hunyuan import (
FastHunyuanConfig,
HunyuanConfig,
)
from sglang.multimodal_gen.configs.pipelines.stepvideo import StepVideoT2VConfig
from sglang.multimodal_gen.configs.pipelines.wan import (
from sglang.multimodal_gen.configs.pipeline_configs.stepvideo import StepVideoT2VConfig
from sglang.multimodal_gen.configs.pipeline_configs.wan import (
SelfForcingWanT2V480PConfig,
WanI2V480PConfig,
WanI2V720PConfig,

View File

@@ -13,12 +13,12 @@ from sglang.multimodal_gen.configs.models.encoders import (
T5Config,
)
from sglang.multimodal_gen.configs.models.vaes.flux import FluxVAEConfig
from sglang.multimodal_gen.configs.pipelines.base import (
from sglang.multimodal_gen.configs.pipeline_configs.base import (
ModelTaskType,
PipelineConfig,
preprocess_text,
)
from sglang.multimodal_gen.configs.pipelines.hunyuan import (
from sglang.multimodal_gen.configs.pipeline_configs.hunyuan import (
clip_postprocess_text,
clip_preprocess_text,
)

View File

@@ -15,7 +15,7 @@ from sglang.multimodal_gen.configs.models.encoders import (
LlamaConfig,
)
from sglang.multimodal_gen.configs.models.vaes import HunyuanVAEConfig
from sglang.multimodal_gen.configs.pipelines.base import PipelineConfig
from sglang.multimodal_gen.configs.pipeline_configs import PipelineConfig
PROMPT_TEMPLATE_ENCODE_VIDEO = (
"<|start_header_id|>system<|end_header_id|>\n\nDescribe the video by detailing the following aspects: "

View File

@@ -9,7 +9,10 @@ from sglang.multimodal_gen.configs.models import DiTConfig, EncoderConfig, VAECo
from sglang.multimodal_gen.configs.models.dits.qwenimage import QwenImageDitConfig
from sglang.multimodal_gen.configs.models.encoders.qwen_image import Qwen2_5VLConfig
from sglang.multimodal_gen.configs.models.vaes.qwenimage import QwenImageVAEConfig
from sglang.multimodal_gen.configs.pipelines.base import ModelTaskType, PipelineConfig
from sglang.multimodal_gen.configs.pipeline_configs.base import (
ModelTaskType,
PipelineConfig,
)
from sglang.multimodal_gen.utils import calculate_dimensions

View File

@@ -6,7 +6,7 @@ from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models import DiTConfig, VAEConfig
from sglang.multimodal_gen.configs.models.dits import StepVideoConfig
from sglang.multimodal_gen.configs.models.vaes import StepVideoVAEConfig
from sglang.multimodal_gen.configs.pipelines.base import PipelineConfig
from sglang.multimodal_gen.configs.pipeline_configs.base import PipelineConfig
@dataclass

View File

@@ -14,7 +14,10 @@ from sglang.multimodal_gen.configs.models.encoders import (
T5Config,
)
from sglang.multimodal_gen.configs.models.vaes import WanVAEConfig
from sglang.multimodal_gen.configs.pipelines.base import ModelTaskType, PipelineConfig
from sglang.multimodal_gen.configs.pipeline_configs.base import (
ModelTaskType,
PipelineConfig,
)
from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger
logger = init_logger(__name__)

View File

@@ -15,7 +15,7 @@ import re
from functools import lru_cache
from typing import Any, Callable, Dict, List, Optional, Tuple, Type
from sglang.multimodal_gen.configs.pipelines import (
from sglang.multimodal_gen.configs.pipeline_configs import (
FastHunyuanConfig,
FluxPipelineConfig,
HunyuanConfig,
@@ -25,12 +25,12 @@ from sglang.multimodal_gen.configs.pipelines import (
WanT2V480PConfig,
WanT2V720PConfig,
)
from sglang.multimodal_gen.configs.pipelines.base import PipelineConfig
from sglang.multimodal_gen.configs.pipelines.qwen_image import (
from sglang.multimodal_gen.configs.pipeline_configs.base import PipelineConfig
from sglang.multimodal_gen.configs.pipeline_configs.qwen_image import (
QwenImageEditPipelineConfig,
QwenImagePipelineConfig,
)
from sglang.multimodal_gen.configs.pipelines.wan import (
from sglang.multimodal_gen.configs.pipeline_configs.wan import (
FastWan2_1_T2V_480P_Config,
FastWan2_2_TI2V_5B_Config,
Wan2_2_I2V_A14B_Config,
@@ -55,7 +55,7 @@ from sglang.multimodal_gen.configs.sample.wan import (
WanT2V_1_3B_SamplingParams,
WanT2V_14B_SamplingParams,
)
from sglang.multimodal_gen.runtime.pipelines.composed_pipeline_base import (
from sglang.multimodal_gen.runtime.pipelines_core.composed_pipeline_base import (
ComposedPipelineBase,
)
from sglang.multimodal_gen.runtime.utils.hf_diffusers_utils import (
@@ -74,49 +74,37 @@ _PIPELINE_REGISTRY: Dict[str, Type[ComposedPipelineBase]] = {}
def _discover_and_register_pipelines():
"""
Automatically discover and register all ComposedPipelineBase subclasses.
This function scans the 'sglang.multimodal_gen.runtime.architectures' package,
This function scans the 'sglang.multimodal_gen.runtime.pipelines' package,
finds modules with an 'EntryClass' attribute, and maps the class's 'pipeline_name'
to the class itself in a global registry.
"""
if _PIPELINE_REGISTRY: # E-run only once
if _PIPELINE_REGISTRY: # run only once
return
package_name = "sglang.multimodal_gen.runtime.architectures"
package_name = "sglang.multimodal_gen.runtime.pipelines"
package = importlib.import_module(package_name)
for _, pipeline_type_str, ispkg in pkgutil.iter_modules(package.__path__):
for _, module_name, ispkg in pkgutil.walk_packages(
package.__path__, package.__name__ + "."
):
if not ispkg:
continue
pipeline_type_package_name = f"{package_name}.{pipeline_type_str}"
pipeline_type_package = importlib.import_module(pipeline_type_package_name)
for _, arch, ispkg_arch in pkgutil.iter_modules(pipeline_type_package.__path__):
if not ispkg_arch:
continue
arch_package_name = f"{pipeline_type_package_name}.{arch}"
arch_package = importlib.import_module(arch_package_name)
for _, module_name, ispkg_module in pkgutil.walk_packages(
arch_package.__path__, arch_package.__name__ + "."
):
if not ispkg_module:
pipeline_module = importlib.import_module(module_name)
if hasattr(pipeline_module, "EntryClass"):
entry_cls = pipeline_module.EntryClass
if not isinstance(entry_cls, list):
entry_cls_list = [entry_cls]
else:
entry_cls_list = entry_cls
pipeline_module = importlib.import_module(module_name)
if hasattr(pipeline_module, "EntryClass"):
entry_cls = pipeline_module.EntryClass
entry_cls_list = (
[entry_cls] if not isinstance(entry_cls, list) else entry_cls
)
for cls in entry_cls_list:
if hasattr(cls, "pipeline_name"):
if cls.pipeline_name in _PIPELINE_REGISTRY:
logger.warning(
f"Duplicate pipeline name '{cls.pipeline_name}' found. Overwriting."
)
_PIPELINE_REGISTRY[cls.pipeline_name] = cls
# else:
# logger.warning(
# f"Pipeline class {cls.__name__} does not have a 'pipeline_name' attribute."
# )
for cls in entry_cls_list:
if hasattr(cls, "pipeline_name"):
if cls.pipeline_name in _PIPELINE_REGISTRY:
logger.warning(
f"Duplicate pipeline name '{cls.pipeline_name}' found. Overwriting."
)
_PIPELINE_REGISTRY[cls.pipeline_name] = cls
logger.debug(
f"Registering pipelines complete, {len(_PIPELINE_REGISTRY)} pipelines registered"
)
# --- Part 2: Config Registration ---

View File

@@ -1,8 +0,0 @@
# Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
"""
Basic inference pipelines for sglang.multimodal_gen.
This package contains basic pipelines for video and image generation.
"""

View File

@@ -1 +0,0 @@
# Copied and adapted from: https://github.com/hao-ai-lab/FastVideo

View File

@@ -1 +0,0 @@
# Copied and adapted from: https://github.com/hao-ai-lab/FastVideo

View File

@@ -1 +0,0 @@
# Copied and adapted from: https://github.com/hao-ai-lab/FastVideo

View File

@@ -1 +0,0 @@
# Copied and adapted from: https://github.com/hao-ai-lab/FastVideo

View File

@@ -1 +0,0 @@
# Copied and adapted from: https://github.com/hao-ai-lab/FastVideo

View File

@@ -21,8 +21,8 @@ import torch
import torchvision
from einops import rearrange
from sglang.multimodal_gen.runtime.pipelines import Req
from sglang.multimodal_gen.runtime.pipelines.schedule_batch import OutputBatch
from sglang.multimodal_gen.runtime.pipelines_core import Req
from sglang.multimodal_gen.runtime.pipelines_core.schedule_batch import OutputBatch
# Suppress verbose logging from imageio, which is triggered when saving images.
logging.getLogger("imageio").setLevel(logging.WARNING)

View File

@@ -24,7 +24,7 @@ from sglang.multimodal_gen.runtime.entrypoints.openai.utils import (
post_process_sample,
)
from sglang.multimodal_gen.runtime.entrypoints.utils import prepare_request
from sglang.multimodal_gen.runtime.pipelines.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines_core.schedule_batch import Req
from sglang.multimodal_gen.runtime.scheduler_client import scheduler_client
from sglang.multimodal_gen.runtime.server_args import get_global_server_args
from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger

View File

@@ -34,7 +34,7 @@ from sglang.multimodal_gen.runtime.entrypoints.openai.utils import (
post_process_sample,
)
from sglang.multimodal_gen.runtime.entrypoints.utils import prepare_request
from sglang.multimodal_gen.runtime.pipelines.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines_core.schedule_batch import Req
from sglang.multimodal_gen.runtime.server_args import get_global_server_args
from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger

View File

@@ -16,7 +16,7 @@ logging.getLogger("imageio").setLevel(logging.WARNING)
logging.getLogger("imageio_ffmpeg").setLevel(logging.WARNING)
from sglang.multimodal_gen.configs.sample.base import DataType, SamplingParams
from sglang.multimodal_gen.runtime.pipelines.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines_core.schedule_batch import Req
from sglang.multimodal_gen.runtime.server_args import ServerArgs
from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger
from sglang.multimodal_gen.utils import shallow_asdict

View File

@@ -14,7 +14,7 @@ from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger
if TYPE_CHECKING:
from sglang.multimodal_gen.runtime.layers.attention import AttentionMetadata
from sglang.multimodal_gen.runtime.pipelines import Req
from sglang.multimodal_gen.runtime.pipelines_core import Req
logger = init_logger(__name__)

View File

@@ -16,8 +16,8 @@ from sglang.multimodal_gen.runtime.distributed.parallel_state import (
get_cfg_group,
get_tp_group,
)
from sglang.multimodal_gen.runtime.pipelines import Req, build_pipeline
from sglang.multimodal_gen.runtime.pipelines.schedule_batch import OutputBatch
from sglang.multimodal_gen.runtime.pipelines_core import Req, build_pipeline
from sglang.multimodal_gen.runtime.pipelines_core.schedule_batch import OutputBatch
from sglang.multimodal_gen.runtime.server_args import PortArgs, ServerArgs
from sglang.multimodal_gen.runtime.utils.common import set_cuda_arch
from sglang.multimodal_gen.runtime.utils.logging_utils import (

View File

@@ -6,7 +6,7 @@ from typing import Any
import zmq
from sglang.multimodal_gen.runtime.managers.gpu_worker import GPUWorker
from sglang.multimodal_gen.runtime.pipelines.schedule_batch import OutputBatch
from sglang.multimodal_gen.runtime.pipelines_core.schedule_batch import OutputBatch
from sglang.multimodal_gen.runtime.server_args import (
PortArgs,
ServerArgs,

View File

@@ -6,8 +6,8 @@ from typing import TypeVar
import zmq
from sglang.multimodal_gen.runtime.pipelines import Req
from sglang.multimodal_gen.runtime.pipelines.schedule_batch import OutputBatch
from sglang.multimodal_gen.runtime.pipelines_core import Req
from sglang.multimodal_gen.runtime.pipelines_core.schedule_batch import OutputBatch
from sglang.multimodal_gen.runtime.server_args import ServerArgs
from sglang.multimodal_gen.utils import init_logger

View File

@@ -1,64 +1 @@
# Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
"""
Diffusion pipelines for sglang.multimodal_gen.
This package contains diffusion pipelines for generating videos and images.
"""
from typing import cast
from sglang.multimodal_gen.registry import get_model_info
from sglang.multimodal_gen.runtime.pipelines.composed_pipeline_base import (
ComposedPipelineBase,
)
from sglang.multimodal_gen.runtime.pipelines.lora_pipeline import LoRAPipeline
from sglang.multimodal_gen.runtime.pipelines.schedule_batch import Req
from sglang.multimodal_gen.runtime.server_args import ServerArgs
from sglang.multimodal_gen.runtime.utils.hf_diffusers_utils import (
maybe_download_model,
verify_model_config_and_directory,
)
from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger
logger = init_logger(__name__)
class PipelineWithLoRA(LoRAPipeline, ComposedPipelineBase):
"""Type for a pipeline that has both ComposedPipelineBase and LoRAPipeline functionality."""
pass
def build_pipeline(
server_args: ServerArgs,
) -> PipelineWithLoRA:
"""
Only works with valid hf diffusers configs. (model_index.json)
We want to build a pipeline based on the inference args mode_path:
1. download the model from the hub if it's not already downloaded
2. verify the model config and directory
3. based on the config, determine the pipeline class
"""
model_path = server_args.model_path
model_info = get_model_info(model_path)
if model_info is None:
raise ValueError(f"Unsupported model: {model_path}")
pipeline_cls = model_info.pipeline_cls
# instantiate the pipelines
pipeline = pipeline_cls(model_path, server_args)
logger.info("Pipelines instantiated")
return cast(PipelineWithLoRA, pipeline)
__all__ = [
"build_pipeline",
"ComposedPipelineBase",
"Req",
"LoRAPipeline",
]

View File

@@ -1,11 +1,11 @@
# Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
from sglang.multimodal_gen.runtime.pipelines.composed_pipeline_base import (
from sglang.multimodal_gen.runtime.pipelines_core.composed_pipeline_base import (
ComposedPipelineBase,
)
from sglang.multimodal_gen.runtime.pipelines.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines.stages import (
from sglang.multimodal_gen.runtime.pipelines_core.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines_core.stages import (
ConditioningStage,
DecodingStage,
DenoisingStage,

View File

@@ -9,10 +9,10 @@ using the modular pipeline architecture.
"""
from sglang.multimodal_gen.runtime.pipelines.composed_pipeline_base import (
from sglang.multimodal_gen.runtime.pipelines_core.composed_pipeline_base import (
ComposedPipelineBase,
)
from sglang.multimodal_gen.runtime.pipelines.stages import (
from sglang.multimodal_gen.runtime.pipelines_core.stages import (
ConditioningStage,
DecodingStage,
DenoisingStage,

View File

@@ -3,11 +3,11 @@
# SPDX-License-Identifier: Apache-2.0
from diffusers.image_processor import VaeImageProcessor
from sglang.multimodal_gen.runtime.pipelines.composed_pipeline_base import (
from sglang.multimodal_gen.runtime.pipelines_core.composed_pipeline_base import (
ComposedPipelineBase,
)
from sglang.multimodal_gen.runtime.pipelines.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines.stages import (
from sglang.multimodal_gen.runtime.pipelines_core.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines_core.stages import (
DecodingStage,
DenoisingStage,
ImageEncodingStage,
@@ -17,7 +17,7 @@ from sglang.multimodal_gen.runtime.pipelines.stages import (
TextEncodingStage,
TimestepPreparationStage,
)
from sglang.multimodal_gen.runtime.pipelines.stages.conditioning import (
from sglang.multimodal_gen.runtime.pipelines_core.stages.conditioning import (
ConditioningStage,
)
from sglang.multimodal_gen.runtime.server_args import ServerArgs

View File

@@ -1,59 +0,0 @@
# Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
"""
Pipeline stages for diffusion models.
This package contains the various stages that can be composed to create
complete diffusion pipelines.
"""
from sglang.multimodal_gen.runtime.pipelines.stages.base import PipelineStage
from sglang.multimodal_gen.runtime.pipelines.stages.causal_denoising import (
CausalDMDDenoisingStage,
)
from sglang.multimodal_gen.runtime.pipelines.stages.conditioning import (
ConditioningStage,
)
from sglang.multimodal_gen.runtime.pipelines.stages.decoding import DecodingStage
from sglang.multimodal_gen.runtime.pipelines.stages.denoising import DenoisingStage
from sglang.multimodal_gen.runtime.pipelines.stages.denoising_dmd import (
DmdDenoisingStage,
)
from sglang.multimodal_gen.runtime.pipelines.stages.encoding import EncodingStage
from sglang.multimodal_gen.runtime.pipelines.stages.image_encoding import (
ImageEncodingStage,
ImageVAEEncodingStage,
)
from sglang.multimodal_gen.runtime.pipelines.stages.input_validation import (
InputValidationStage,
)
from sglang.multimodal_gen.runtime.pipelines.stages.latent_preparation import (
LatentPreparationStage,
)
from sglang.multimodal_gen.runtime.pipelines.stages.stepvideo_encoding import (
StepvideoPromptEncodingStage,
)
from sglang.multimodal_gen.runtime.pipelines.stages.text_encoding import (
TextEncodingStage,
)
from sglang.multimodal_gen.runtime.pipelines.stages.timestep_preparation import (
TimestepPreparationStage,
)
__all__ = [
"PipelineStage",
"InputValidationStage",
"TimestepPreparationStage",
"LatentPreparationStage",
"ConditioningStage",
"DenoisingStage",
"DmdDenoisingStage",
"CausalDMDDenoisingStage",
"EncodingStage",
"DecodingStage",
"ImageEncodingStage",
"ImageVAEEncodingStage",
"TextEncodingStage",
"StepvideoPromptEncodingStage",
]

View File

@@ -24,11 +24,11 @@ from sglang.multimodal_gen.runtime.models.encoders.bert import (
HunyuanClip, # type: ignore
)
from sglang.multimodal_gen.runtime.models.encoders.stepllm import STEP1TextEncoder
from sglang.multimodal_gen.runtime.pipelines.composed_pipeline_base import (
from sglang.multimodal_gen.runtime.pipelines_core.composed_pipeline_base import (
ComposedPipelineBase,
)
from sglang.multimodal_gen.runtime.pipelines.lora_pipeline import LoRAPipeline
from sglang.multimodal_gen.runtime.pipelines.stages import (
from sglang.multimodal_gen.runtime.pipelines_core.lora_pipeline import LoRAPipeline
from sglang.multimodal_gen.runtime.pipelines_core.stages import (
DecodingStage,
DenoisingStage,
InputValidationStage,

View File

@@ -7,13 +7,13 @@ Wan causal DMD pipeline implementation.
This module wires the causal DMD denoising stage into the modular pipeline.
"""
from sglang.multimodal_gen.runtime.pipelines.composed_pipeline_base import (
from sglang.multimodal_gen.runtime.pipelines_core.composed_pipeline_base import (
ComposedPipelineBase,
)
from sglang.multimodal_gen.runtime.pipelines.lora_pipeline import LoRAPipeline
from sglang.multimodal_gen.runtime.pipelines_core.lora_pipeline import LoRAPipeline
# isort: off
from sglang.multimodal_gen.runtime.pipelines.stages import (
from sglang.multimodal_gen.runtime.pipelines_core.stages import (
ConditioningStage,
DecodingStage,
CausalDMDDenoisingStage,

View File

@@ -11,15 +11,15 @@ using the modular pipeline architecture.
from sglang.multimodal_gen.runtime.models.schedulers.scheduling_flow_match_euler_discrete import (
FlowMatchEulerDiscreteScheduler,
)
from sglang.multimodal_gen.runtime.pipelines.composed_pipeline_base import (
from sglang.multimodal_gen.runtime.pipelines_core.composed_pipeline_base import (
ComposedPipelineBase,
)
from sglang.multimodal_gen.runtime.pipelines.lora_pipeline import LoRAPipeline
from sglang.multimodal_gen.runtime.pipelines_core.lora_pipeline import LoRAPipeline
from sglang.multimodal_gen.runtime.server_args import ServerArgs
from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger
# isort: off
from sglang.multimodal_gen.runtime.pipelines.stages import (
from sglang.multimodal_gen.runtime.pipelines_core.stages import (
ConditioningStage,
DecodingStage,
DmdDenoisingStage,

View File

@@ -8,15 +8,15 @@ This module contains an implementation of the Wan video diffusion pipeline
using the modular pipeline architecture.
"""
from sglang.multimodal_gen.runtime.pipelines.composed_pipeline_base import (
from sglang.multimodal_gen.runtime.pipelines_core.composed_pipeline_base import (
ComposedPipelineBase,
)
from sglang.multimodal_gen.runtime.pipelines.lora_pipeline import LoRAPipeline
from sglang.multimodal_gen.runtime.pipelines_core.lora_pipeline import LoRAPipeline
from sglang.multimodal_gen.runtime.server_args import ServerArgs
from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger
# isort: off
from sglang.multimodal_gen.runtime.pipelines.stages import (
from sglang.multimodal_gen.runtime.pipelines_core.stages import (
ImageEncodingStage,
ConditioningStage,
DecodingStage,

View File

@@ -8,15 +8,15 @@ This module contains an implementation of the Wan video diffusion pipeline
using the modular pipeline architecture.
"""
from sglang.multimodal_gen.runtime.pipelines.composed_pipeline_base import (
from sglang.multimodal_gen.runtime.pipelines_core.composed_pipeline_base import (
ComposedPipelineBase,
)
from sglang.multimodal_gen.runtime.pipelines.lora_pipeline import LoRAPipeline
from sglang.multimodal_gen.runtime.pipelines_core.lora_pipeline import LoRAPipeline
from sglang.multimodal_gen.runtime.server_args import ServerArgs
from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger
# isort: off
from sglang.multimodal_gen.runtime.pipelines.stages import (
from sglang.multimodal_gen.runtime.pipelines_core.stages import (
ImageEncodingStage,
ConditioningStage,
DecodingStage,

View File

@@ -11,11 +11,11 @@ using the modular pipeline architecture.
from sglang.multimodal_gen.runtime.models.schedulers.scheduling_flow_unipc_multistep import (
FlowUniPCMultistepScheduler,
)
from sglang.multimodal_gen.runtime.pipelines.composed_pipeline_base import (
from sglang.multimodal_gen.runtime.pipelines_core.composed_pipeline_base import (
ComposedPipelineBase,
)
from sglang.multimodal_gen.runtime.pipelines.lora_pipeline import LoRAPipeline
from sglang.multimodal_gen.runtime.pipelines.stages import (
from sglang.multimodal_gen.runtime.pipelines_core.lora_pipeline import LoRAPipeline
from sglang.multimodal_gen.runtime.pipelines_core.stages import (
ConditioningStage,
DecodingStage,
DenoisingStage,

View File

@@ -0,0 +1,64 @@
# Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
"""
Diffusion pipelines for sglang.multimodal_gen.
This package contains diffusion pipelines for generating videos and images.
"""
from typing import cast
from sglang.multimodal_gen.registry import get_model_info
from sglang.multimodal_gen.runtime.pipelines_core.composed_pipeline_base import (
ComposedPipelineBase,
)
from sglang.multimodal_gen.runtime.pipelines_core.lora_pipeline import LoRAPipeline
from sglang.multimodal_gen.runtime.pipelines_core.schedule_batch import Req
from sglang.multimodal_gen.runtime.server_args import ServerArgs
from sglang.multimodal_gen.runtime.utils.hf_diffusers_utils import (
maybe_download_model,
verify_model_config_and_directory,
)
from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger
logger = init_logger(__name__)
class PipelineWithLoRA(LoRAPipeline, ComposedPipelineBase):
"""Type for a pipeline that has both ComposedPipelineBase and LoRAPipeline functionality."""
pass
def build_pipeline(
server_args: ServerArgs,
) -> PipelineWithLoRA:
"""
Only works with valid hf diffusers configs. (model_index.json)
We want to build a pipeline based on the inference args mode_path:
1. download the model from the hub if it's not already downloaded
2. verify the model config and directory
3. based on the config, determine the pipeline class
"""
model_path = server_args.model_path
model_info = get_model_info(model_path)
if model_info is None:
raise ValueError(f"Unsupported model: {model_path}")
pipeline_cls = model_info.pipeline_cls
# instantiate the pipelines
pipeline = pipeline_cls(model_path, server_args)
logger.info("Pipelines instantiated")
return cast(PipelineWithLoRA, pipeline)
__all__ = [
"build_pipeline",
"ComposedPipelineBase",
"Req",
"LoRAPipeline",
]

View File

@@ -15,15 +15,15 @@ from typing import Any, cast
import torch
from tqdm import tqdm
from sglang.multimodal_gen.configs.pipelines import PipelineConfig
from sglang.multimodal_gen.configs.pipeline_configs import PipelineConfig
from sglang.multimodal_gen.runtime.loader.component_loader import (
PipelineComponentLoader,
)
from sglang.multimodal_gen.runtime.pipelines.executors.pipeline_executor import (
from sglang.multimodal_gen.runtime.pipelines_core.executors.pipeline_executor import (
PipelineExecutor,
)
from sglang.multimodal_gen.runtime.pipelines.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines.stages import PipelineStage
from sglang.multimodal_gen.runtime.pipelines_core.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines_core.stages import PipelineStage
from sglang.multimodal_gen.runtime.server_args import ServerArgs
from sglang.multimodal_gen.runtime.utils.hf_diffusers_utils import (
maybe_download_model,
@@ -90,7 +90,7 @@ class ComposedPipelineBase(ABC):
def build_executor(self, server_args: ServerArgs):
# TODO
from sglang.multimodal_gen.runtime.pipelines.executors.parallel_executor import (
from sglang.multimodal_gen.runtime.pipelines_core.executors.parallel_executor import (
ParallelExecutor,
)

View File

@@ -9,12 +9,12 @@ from sglang.multimodal_gen.runtime.distributed.parallel_state import (
get_cfg_group,
get_classifier_free_guidance_rank,
)
from sglang.multimodal_gen.runtime.pipelines import Req
from sglang.multimodal_gen.runtime.pipelines.executors.pipeline_executor import (
from sglang.multimodal_gen.runtime.pipelines_core import Req
from sglang.multimodal_gen.runtime.pipelines_core.executors.pipeline_executor import (
PipelineExecutor,
Timer,
)
from sglang.multimodal_gen.runtime.pipelines.stages.base import (
from sglang.multimodal_gen.runtime.pipelines_core.stages.base import (
PipelineStage,
StageParallelismType,
)

View File

@@ -8,8 +8,8 @@ import time
from abc import ABC, abstractmethod
from typing import List
from sglang.multimodal_gen.runtime.pipelines.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines.stages import PipelineStage
from sglang.multimodal_gen.runtime.pipelines_core.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines_core.stages import PipelineStage
from sglang.multimodal_gen.runtime.server_args import ServerArgs
from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger

View File

@@ -6,13 +6,13 @@ Synchronous pipeline executor implementation.
"""
from typing import List
from sglang.multimodal_gen.runtime.pipelines.executors.pipeline_executor import (
from sglang.multimodal_gen.runtime.pipelines_core.executors.pipeline_executor import (
PipelineExecutor,
Timer,
logger,
)
from sglang.multimodal_gen.runtime.pipelines.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines.stages import PipelineStage
from sglang.multimodal_gen.runtime.pipelines_core.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines_core.stages import PipelineStage
from sglang.multimodal_gen.runtime.server_args import ServerArgs

View File

@@ -16,7 +16,7 @@ from sglang.multimodal_gen.runtime.layers.lora.linear import (
replace_submodule,
)
from sglang.multimodal_gen.runtime.loader.utils import get_param_names_mapping
from sglang.multimodal_gen.runtime.pipelines.composed_pipeline_base import (
from sglang.multimodal_gen.runtime.pipelines_core.composed_pipeline_base import (
ComposedPipelineBase,
)
from sglang.multimodal_gen.runtime.server_args import ServerArgs

View File

@@ -0,0 +1,59 @@
# Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
"""
Pipeline stages for diffusion models.
This package contains the various stages that can be composed to create
complete diffusion pipelines.
"""
from sglang.multimodal_gen.runtime.pipelines_core.stages.base import PipelineStage
from sglang.multimodal_gen.runtime.pipelines_core.stages.causal_denoising import (
CausalDMDDenoisingStage,
)
from sglang.multimodal_gen.runtime.pipelines_core.stages.conditioning import (
ConditioningStage,
)
from sglang.multimodal_gen.runtime.pipelines_core.stages.decoding import DecodingStage
from sglang.multimodal_gen.runtime.pipelines_core.stages.denoising import DenoisingStage
from sglang.multimodal_gen.runtime.pipelines_core.stages.denoising_dmd import (
DmdDenoisingStage,
)
from sglang.multimodal_gen.runtime.pipelines_core.stages.encoding import EncodingStage
from sglang.multimodal_gen.runtime.pipelines_core.stages.image_encoding import (
ImageEncodingStage,
ImageVAEEncodingStage,
)
from sglang.multimodal_gen.runtime.pipelines_core.stages.input_validation import (
InputValidationStage,
)
from sglang.multimodal_gen.runtime.pipelines_core.stages.latent_preparation import (
LatentPreparationStage,
)
from sglang.multimodal_gen.runtime.pipelines_core.stages.stepvideo_encoding import (
StepvideoPromptEncodingStage,
)
from sglang.multimodal_gen.runtime.pipelines_core.stages.text_encoding import (
TextEncodingStage,
)
from sglang.multimodal_gen.runtime.pipelines_core.stages.timestep_preparation import (
TimestepPreparationStage,
)
__all__ = [
"PipelineStage",
"InputValidationStage",
"TimestepPreparationStage",
"LatentPreparationStage",
"ConditioningStage",
"DenoisingStage",
"DmdDenoisingStage",
"CausalDMDDenoisingStage",
"EncodingStage",
"DecodingStage",
"ImageEncodingStage",
"ImageVAEEncodingStage",
"TextEncodingStage",
"StepvideoPromptEncodingStage",
]

View File

@@ -16,8 +16,10 @@ from enum import Enum, auto
import torch
import sglang.multimodal_gen.envs as envs
from sglang.multimodal_gen.runtime.pipelines.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines.stages.validators import VerificationResult
from sglang.multimodal_gen.runtime.pipelines_core.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines_core.stages.validators import (
VerificationResult,
)
from sglang.multimodal_gen.runtime.server_args import ServerArgs, get_global_server_args
from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger

View File

@@ -5,12 +5,14 @@ import torch # type: ignore
from sglang.multimodal_gen.runtime.distributed import get_local_torch_device
from sglang.multimodal_gen.runtime.managers.forward_context import set_forward_context
from sglang.multimodal_gen.runtime.models.utils import pred_noise_to_pred_video
from sglang.multimodal_gen.runtime.pipelines.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines.stages.denoising import DenoisingStage
from sglang.multimodal_gen.runtime.pipelines.stages.validators import (
from sglang.multimodal_gen.runtime.pipelines_core.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines_core.stages.denoising import DenoisingStage
from sglang.multimodal_gen.runtime.pipelines_core.stages.validators import (
StageValidators as V,
)
from sglang.multimodal_gen.runtime.pipelines.stages.validators import VerificationResult
from sglang.multimodal_gen.runtime.pipelines_core.stages.validators import (
VerificationResult,
)
from sglang.multimodal_gen.runtime.server_args import ServerArgs
from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger

View File

@@ -7,12 +7,14 @@ Conditioning stage for diffusion pipelines.
import torch
from sglang.multimodal_gen.runtime.pipelines.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines.stages.base import PipelineStage
from sglang.multimodal_gen.runtime.pipelines.stages.validators import (
from sglang.multimodal_gen.runtime.pipelines_core.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines_core.stages.base import PipelineStage
from sglang.multimodal_gen.runtime.pipelines_core.stages.validators import (
StageValidators as V,
)
from sglang.multimodal_gen.runtime.pipelines.stages.validators import VerificationResult
from sglang.multimodal_gen.runtime.pipelines_core.stages.validators import (
VerificationResult,
)
from sglang.multimodal_gen.runtime.server_args import ServerArgs
from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger

View File

@@ -10,19 +10,21 @@ import weakref
import torch
from sglang.multimodal_gen.configs.models.vaes.base import VAEArchConfig
from sglang.multimodal_gen.configs.pipelines.qwen_image import (
from sglang.multimodal_gen.configs.pipeline_configs.qwen_image import (
QwenImageEditPipelineConfig,
QwenImagePipelineConfig,
)
from sglang.multimodal_gen.runtime.distributed import get_local_torch_device
from sglang.multimodal_gen.runtime.loader.component_loader import VAELoader
from sglang.multimodal_gen.runtime.models.vaes.common import ParallelTiledVAE
from sglang.multimodal_gen.runtime.pipelines.schedule_batch import OutputBatch, Req
from sglang.multimodal_gen.runtime.pipelines.stages.base import (
from sglang.multimodal_gen.runtime.pipelines_core.schedule_batch import OutputBatch, Req
from sglang.multimodal_gen.runtime.pipelines_core.stages.base import (
PipelineStage,
StageParallelismType,
)
from sglang.multimodal_gen.runtime.pipelines.stages.validators import VerificationResult
from sglang.multimodal_gen.runtime.pipelines_core.stages.validators import (
VerificationResult,
)
from sglang.multimodal_gen.runtime.server_args import ServerArgs, get_global_server_args
from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger
from sglang.multimodal_gen.utils import PRECISION_TO_TYPE

View File

@@ -19,7 +19,7 @@ import torch.profiler
from einops import rearrange
from tqdm.auto import tqdm
from sglang.multimodal_gen.configs.pipelines.base import ModelTaskType, STA_Mode
from sglang.multimodal_gen.configs.pipeline_configs.base import ModelTaskType, STA_Mode
from sglang.multimodal_gen.runtime.distributed import (
cfg_model_parallel_all_reduce,
get_local_torch_device,
@@ -44,15 +44,17 @@ from sglang.multimodal_gen.runtime.layers.attention.STA_configuration import (
)
from sglang.multimodal_gen.runtime.loader.component_loader import TransformerLoader
from sglang.multimodal_gen.runtime.managers.forward_context import set_forward_context
from sglang.multimodal_gen.runtime.pipelines.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines.stages.base import (
from sglang.multimodal_gen.runtime.pipelines_core.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines_core.stages.base import (
PipelineStage,
StageParallelismType,
)
from sglang.multimodal_gen.runtime.pipelines.stages.validators import (
from sglang.multimodal_gen.runtime.pipelines_core.stages.validators import (
StageValidators as V,
)
from sglang.multimodal_gen.runtime.pipelines.stages.validators import VerificationResult
from sglang.multimodal_gen.runtime.pipelines_core.stages.validators import (
VerificationResult,
)
from sglang.multimodal_gen.runtime.platforms.interface import AttentionBackendEnum
from sglang.multimodal_gen.runtime.server_args import ServerArgs
from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger

View File

@@ -22,9 +22,9 @@ from sglang.multimodal_gen.runtime.models.schedulers.scheduling_flow_match_euler
FlowMatchEulerDiscreteScheduler,
)
from sglang.multimodal_gen.runtime.models.utils import pred_noise_to_pred_video
from sglang.multimodal_gen.runtime.pipelines.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines.stages import DenoisingStage
from sglang.multimodal_gen.runtime.pipelines.stages.denoising import (
from sglang.multimodal_gen.runtime.pipelines_core.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines_core.stages import DenoisingStage
from sglang.multimodal_gen.runtime.pipelines_core.stages.denoising import (
st_attn_available,
vsa_available,
)

View File

@@ -9,12 +9,14 @@ import torch
from sglang.multimodal_gen.runtime.distributed import get_local_torch_device
from sglang.multimodal_gen.runtime.models.vaes.common import ParallelTiledVAE
from sglang.multimodal_gen.runtime.pipelines.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines.stages.base import PipelineStage
from sglang.multimodal_gen.runtime.pipelines.stages.validators import (
from sglang.multimodal_gen.runtime.pipelines_core.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines_core.stages.base import PipelineStage
from sglang.multimodal_gen.runtime.pipelines_core.stages.validators import (
V, # Import validators
)
from sglang.multimodal_gen.runtime.pipelines.stages.validators import VerificationResult
from sglang.multimodal_gen.runtime.pipelines_core.stages.validators import (
VerificationResult,
)
from sglang.multimodal_gen.runtime.server_args import ServerArgs
from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger
from sglang.multimodal_gen.utils import PRECISION_TO_TYPE

View File

@@ -10,7 +10,7 @@ This module contains implementations of image encoding stages for diffusion pipe
import PIL
import torch
from sglang.multimodal_gen.configs.pipelines.qwen_image import (
from sglang.multimodal_gen.configs.pipeline_configs.qwen_image import (
QwenImageEditPipelineConfig,
QwenImagePipelineConfig,
_pack_latents,
@@ -25,12 +25,14 @@ from sglang.multimodal_gen.runtime.models.vision_utils import (
pil_to_numpy,
resize,
)
from sglang.multimodal_gen.runtime.pipelines.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines.stages.base import PipelineStage
from sglang.multimodal_gen.runtime.pipelines.stages.validators import (
from sglang.multimodal_gen.runtime.pipelines_core.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines_core.stages.base import PipelineStage
from sglang.multimodal_gen.runtime.pipelines_core.stages.validators import (
StageValidators as V,
)
from sglang.multimodal_gen.runtime.pipelines.stages.validators import VerificationResult
from sglang.multimodal_gen.runtime.pipelines_core.stages.validators import (
VerificationResult,
)
from sglang.multimodal_gen.runtime.server_args import ExecutionMode, ServerArgs
from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger
from sglang.multimodal_gen.utils import PRECISION_TO_TYPE

View File

@@ -9,15 +9,15 @@ import torch
import torchvision.transforms.functional as TF
from PIL import Image
from sglang.multimodal_gen.configs.pipelines import WanI2V480PConfig
from sglang.multimodal_gen.configs.pipelines.base import ModelTaskType
from sglang.multimodal_gen.configs.pipelines.qwen_image import (
from sglang.multimodal_gen.configs.pipeline_configs import WanI2V480PConfig
from sglang.multimodal_gen.configs.pipeline_configs.base import ModelTaskType
from sglang.multimodal_gen.configs.pipeline_configs.qwen_image import (
QwenImageEditPipelineConfig,
)
from sglang.multimodal_gen.runtime.models.vision_utils import load_image, load_video
from sglang.multimodal_gen.runtime.pipelines.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines.stages.base import PipelineStage
from sglang.multimodal_gen.runtime.pipelines.stages.validators import (
from sglang.multimodal_gen.runtime.pipelines_core.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines_core.stages.base import PipelineStage
from sglang.multimodal_gen.runtime.pipelines_core.stages.validators import (
StageValidators,
VerificationResult,
)

View File

@@ -7,12 +7,14 @@ Latent preparation stage for diffusion pipelines.
from diffusers.utils.torch_utils import randn_tensor
from sglang.multimodal_gen.runtime.distributed import get_local_torch_device
from sglang.multimodal_gen.runtime.pipelines.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines.stages.base import PipelineStage
from sglang.multimodal_gen.runtime.pipelines.stages.validators import (
from sglang.multimodal_gen.runtime.pipelines_core.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines_core.stages.base import PipelineStage
from sglang.multimodal_gen.runtime.pipelines_core.stages.validators import (
StageValidators as V,
)
from sglang.multimodal_gen.runtime.pipelines.stages.validators import VerificationResult
from sglang.multimodal_gen.runtime.pipelines_core.stages.validators import (
VerificationResult,
)
from sglang.multimodal_gen.runtime.server_args import ServerArgs
from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger

View File

@@ -5,12 +5,14 @@
import torch
from sglang.multimodal_gen.runtime.managers.forward_context import set_forward_context
from sglang.multimodal_gen.runtime.pipelines.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines.stages.base import PipelineStage
from sglang.multimodal_gen.runtime.pipelines.stages.validators import (
from sglang.multimodal_gen.runtime.pipelines_core.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines_core.stages.base import PipelineStage
from sglang.multimodal_gen.runtime.pipelines_core.stages.validators import (
StageValidators as V,
)
from sglang.multimodal_gen.runtime.pipelines.stages.validators import VerificationResult
from sglang.multimodal_gen.runtime.pipelines_core.stages.validators import (
VerificationResult,
)
from sglang.multimodal_gen.runtime.server_args import ServerArgs
from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger

View File

@@ -10,15 +10,17 @@ This module contains implementations of prompt encoding stages for diffusion pip
import torch
from sglang.multimodal_gen.configs.models.encoders import BaseEncoderOutput
from sglang.multimodal_gen.configs.pipelines import FluxPipelineConfig
from sglang.multimodal_gen.configs.pipeline_configs import FluxPipelineConfig
from sglang.multimodal_gen.runtime.distributed import get_local_torch_device
from sglang.multimodal_gen.runtime.managers.forward_context import set_forward_context
from sglang.multimodal_gen.runtime.pipelines.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines.stages.base import PipelineStage
from sglang.multimodal_gen.runtime.pipelines.stages.validators import (
from sglang.multimodal_gen.runtime.pipelines_core.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines_core.stages.base import PipelineStage
from sglang.multimodal_gen.runtime.pipelines_core.stages.validators import (
StageValidators as V,
)
from sglang.multimodal_gen.runtime.pipelines.stages.validators import VerificationResult
from sglang.multimodal_gen.runtime.pipelines_core.stages.validators import (
VerificationResult,
)
from sglang.multimodal_gen.runtime.server_args import ServerArgs
from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger

View File

@@ -12,21 +12,23 @@ from typing import Any, Callable, Tuple
import numpy as np
from sglang.multimodal_gen.configs.pipelines import FluxPipelineConfig
from sglang.multimodal_gen.configs.pipelines.qwen_image import (
from sglang.multimodal_gen.configs.pipeline_configs import FluxPipelineConfig
from sglang.multimodal_gen.configs.pipeline_configs.qwen_image import (
QwenImageEditPipelineConfig,
QwenImagePipelineConfig,
)
from sglang.multimodal_gen.runtime.distributed import get_local_torch_device
from sglang.multimodal_gen.runtime.pipelines.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines.stages.base import (
from sglang.multimodal_gen.runtime.pipelines_core.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines_core.stages.base import (
PipelineStage,
StageParallelismType,
)
from sglang.multimodal_gen.runtime.pipelines.stages.validators import (
from sglang.multimodal_gen.runtime.pipelines_core.stages.validators import (
StageValidators as V,
)
from sglang.multimodal_gen.runtime.pipelines.stages.validators import VerificationResult
from sglang.multimodal_gen.runtime.pipelines_core.stages.validators import (
VerificationResult,
)
from sglang.multimodal_gen.runtime.server_args import ServerArgs
from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger

View File

@@ -5,7 +5,7 @@ import asyncio
import zmq
import zmq.asyncio
from sglang.multimodal_gen.runtime.pipelines.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines_core.schedule_batch import Req
from sglang.multimodal_gen.runtime.server_args import ServerArgs
from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger

View File

@@ -15,9 +15,9 @@ from dataclasses import field
from enum import Enum
from typing import Any, Optional
from sglang.multimodal_gen.configs.pipelines import FluxPipelineConfig
from sglang.multimodal_gen.configs.pipelines.base import PipelineConfig, STA_Mode
from sglang.multimodal_gen.configs.pipelines.qwen_image import (
from sglang.multimodal_gen.configs.pipeline_configs import FluxPipelineConfig
from sglang.multimodal_gen.configs.pipeline_configs.base import PipelineConfig, STA_Mode
from sglang.multimodal_gen.configs.pipeline_configs.qwen_image import (
QwenImageEditPipelineConfig,
QwenImagePipelineConfig,
)

View File

@@ -2,7 +2,7 @@
import zmq
from sglang.multimodal_gen.runtime.pipelines.schedule_batch import Req
from sglang.multimodal_gen.runtime.pipelines_core.schedule_batch import Req
from sglang.multimodal_gen.runtime.server_args import ServerArgs
from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger