repo stringclasses 454
values | file_path stringlengths 5 201 | extension stringclasses 1
value | content stringlengths 8 509k | num_lines int64 3 16.9k | size_bytes int64 8 511k |
|---|---|---|---|---|---|
sglang | python/sglang/multimodal_gen/runtime/server_args/auto_tune.py | .py | """
ServerArgsAutoTuner tunes the ServerArgs based on the desired performance mode
"""
from __future__ import annotations
from typing import TYPE_CHECKING
from sglang.multimodal_gen import envs
from sglang.multimodal_gen.configs.pipeline_configs.model_deployment_config import (
ModelDeploymentConfig,
)
from sgla... | 617 | 25,257 |
sglang | python/sglang/multimodal_gen/runtime/server_args/server_args.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
# Inspired by SGLang: https://github.com/sgl-project/sglang/blob/main/python/sglang/srt/server_args.py
"""The arguments of sglang-diffusion Inference."""
import argparse
import dataclasses
import json
import math
... | 3,271 | 134,740 |
sglang | python/sglang/multimodal_gen/runtime/utils/request_logger.py | .py | # Copyright 2026 SGLang Team
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, so... | 205 | 7,695 |
sglang | python/sglang/multimodal_gen/runtime/utils/distributed.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
import pickle
from typing import Any, List, Optional
import numpy as np
import torch
import torch.distributed as dist
from sglang.multimodal_gen.runtime.platforms import current_platform
def broadcast_pyobj(
data: List[Any],
rank: int,
... | 235 | 8,464 |
sglang | python/sglang/multimodal_gen/runtime/utils/camera_geometry.py | .py | # SPDX-License-Identifier: Apache-2.0
"""Camera pose and Plucker ray utilities."""
from __future__ import annotations
import torch
def se3_inverse(T: torch.Tensor) -> torch.Tensor:
rot = T[:, :3, :3]
trans = T[:, :3, 3:]
r_inv = rot.transpose(-1, -2)
t_inv = -torch.bmm(r_inv, trans)
T_inv = tor... | 119 | 3,485 |
sglang | python/sglang/multimodal_gen/runtime/utils/profiler.py | .py | import gzip
import os
import torch
from sglang.multimodal_gen.runtime.platforms import current_platform
from sglang.multimodal_gen.runtime.utils.logging_utils import CYAN, RESET, init_logger
from sglang.srt.utils.torch_npu_patch_utils import apply_torch_npu_patches
if current_platform.is_npu():
import torch_npu
... | 195 | 6,540 |
sglang | python/sglang/multimodal_gen/runtime/utils/model_overlay.py | .py | # SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
import glob
import hashlib
import importlib.util
import json
import os
import shutil
from typing import Any, Callable, cast
from huggingface_hub.errors import (
LocalEntryNotFoundError,
RepositoryNotFoundError,
RevisionNotFoundError,... | 781 | 27,138 |
sglang | python/sglang/multimodal_gen/runtime/utils/logging_utils.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
# adapted from vllm: https://github.com/vllm-project/vllm/blob/v0.7.3/vllm/logger.py
"""Logging configuration for sglang.multimodal_gen."""
import argparse
import contextlib
import dataclasses
import datetime
impo... | 677 | 21,207 |
sglang | python/sglang/multimodal_gen/runtime/utils/torch_compile.py | .py | # SPDX-License-Identifier: Apache-2.0
import os
from collections.abc import Callable
from dataclasses import dataclass, field
from typing import Any
import torch.nn as nn
from sglang.multimodal_gen.runtime.platforms import current_platform
from sglang.srt.utils.common import get_compiler_backend
def maybe_enable_i... | 141 | 3,844 |
sglang | python/sglang/multimodal_gen/runtime/utils/trace_wrapper.py | .py | """Context-manager wrappers around sglang.srt.observability.trace for diffusion tracing.
All tracing helpers for the multimodal_gen subsystem are consolidated here so
that call sites can use simple ``with`` statements instead of manual
start/end bookkeeping.
"""
from __future__ import annotations
from contextlib imp... | 78 | 2,022 |
sglang | python/sglang/multimodal_gen/runtime/utils/nvtx_pytorch_hooks.py | .py | # Copyright 2023-2024 SGLang Team
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writin... | 215 | 7,900 |
sglang | python/sglang/multimodal_gen/runtime/utils/precision.py | .py | from contextlib import contextmanager, nullcontext
from typing import Iterator, Optional, Union
import torch
from sglang.multimodal_gen.runtime.platforms import current_platform
from sglang.multimodal_gen.runtime.utils.precision_types import PRECISION_TO_TYPE
def precision_to_dtype(precision: str, field_name: str =... | 162 | 5,172 |
sglang | python/sglang/multimodal_gen/runtime/utils/weight_attrs.py | .py | # SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
# Adapted from: https://github.com/vllm-project/vllm/blob/v0.7.3/vllm/model_executor/utils.py
from typing import Any
import torch
from sglang.multimodal_gen.runtime.platforms import current_platform
def set_w... | 34 | 1,050 |
sglang | python/sglang/multimodal_gen/runtime/utils/hf_diffusers_utils.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
# Adapted from SGLang: https://github.com/sgl-project/sglang/blob/main/python/sglang/srt/hf_transformers_utils.py
# Copyright 2023-2024 SGLang Team
# Licensed under the Apache License, Version 2.0 (the "License");... | 1,173 | 43,529 |
sglang | python/sglang/multimodal_gen/runtime/utils/condition_expansion.py | .py | # SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass
import torch
@dataclass(frozen=True)
class PromptToSampleBatchExpander:
"""Expand selected conditioning from prompt order to sample order."""
prompt_batch_size: int
sample_batch_size: int
@classmethod
def from_batch(cls, b... | 112 | 4,417 |
sglang | python/sglang/multimodal_gen/runtime/utils/mesh3d_utils.py | .py | """Adapted from Hunyuan3D-2: https://github.com/Tencent/Hunyuan3D-2"""
from __future__ import annotations
import math
from typing import Any, List, Optional, Tuple, Union
import cv2
import numpy as np
import torch
import torch.nn.functional as F
import trimesh
from einops import rearrange, repeat
from PIL import Ima... | 1,115 | 38,051 |
sglang | python/sglang/multimodal_gen/runtime/utils/common.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
import ipaddress
import logging
import os
import platform
import signal
import socket
import sys
import threading
from functools import lru_cache
from typing import Any
import psutil
import torch
import zmq
# use the native logger to avoid circular i... | 425 | 13,546 |
sglang | python/sglang/multimodal_gen/runtime/utils/precision_types.py | .py | """Canonical string→dtype map for diffusion precision configs."""
import torch
PRECISION_TO_TYPE = {
"fp32": torch.float32,
"fp16": torch.float16,
"bf16": torch.bfloat16,
}
__all__ = ["PRECISION_TO_TYPE"]
| 12 | 222 |
sglang | python/sglang/multimodal_gen/runtime/utils/vision.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
import os
import tempfile
from collections.abc import Callable
from io import BytesIO
from urllib.parse import unquote, urlparse
import imageio
import numpy as np
import PIL.Image
import PIL.ImageOps
import reque... | 298 | 10,146 |
sglang | python/sglang/multimodal_gen/runtime/utils/perf_logger.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
import dataclasses
import json
import logging
import os
import subprocess
import sys
import time
from datetime import datetime
from functools import lru_cache
from pathlib import Path
from typing import Any, Dict, Optional
import torch
from dateutil.tz... | 390 | 13,194 |
sglang | python/sglang/multimodal_gen/runtime/utils/quantization_utils.py | .py | import glob
import json
import os
import re
import struct
from pathlib import Path
from typing import Any, Dict, List, Optional
from safetensors import safe_open
from sglang.multimodal_gen.runtime.layers.quantization import (
QuantizationConfig,
get_quantization_config,
)
from sglang.multimodal_gen.runtime.ut... | 568 | 21,316 |
sglang | python/sglang/multimodal_gen/runtime/utils/image_io.py | .py | # SPDX-License-Identifier: Apache-2.0
import base64
import os
import re
def save_base64_image_to_path(base64_data: str, target_path: str) -> str:
b64_format_hint = (
"Failed to decode base64 image. "
"Expected format: `data:[<media-type>];base64,<data>`"
)
match = re.match(r"data:(.*?)(;b... | 42 | 1,201 |
sglang | python/sglang/multimodal_gen/runtime/utils/realtime_video.py | .py | # SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
import time
import zlib
from collections.abc import Callable, Sequence
from typing import TYPE_CHECKING, Any
import numpy as np
import torch
from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger
if TYPE_CHECKING:
from ... | 216 | 7,316 |
sglang | python/sglang/multimodal_gen/runtime/utils/component_load.py | .py | # SPDX-License-Identifier: Apache-2.0
"""Shared helpers for lazily loading pipeline components onto stages."""
from __future__ import annotations
from typing import Any
from sglang.multimodal_gen.runtime.loader.component_loaders.transformer_loader import (
TransformerLoader,
)
from sglang.multimodal_gen.runtime.... | 30 | 980 |
sglang | python/sglang/multimodal_gen/runtime/realtime/__init__.py | .py | # SPDX-License-Identifier: Apache-2.0
"""session-scoped realtime state, control signals, and runtime-only helpers"""
from sglang.multimodal_gen.runtime.realtime.control_signals import (
ControlScriptQueue,
ControlSignal,
ControlSignalQueue,
ControlSignalSamplingParams,
ControlStateQueue,
Contr... | 44 | 1,182 |
sglang | python/sglang/multimodal_gen/runtime/realtime/control_signals.py | .py | # SPDX-License-Identifier: Apache-2.0
"""Realtime control signal primitives.
This module owns the small, model-agnostic data structures that turn external
realtime control inputs into chunk-sized payloads consumed by model adapters.
It intentionally does not know about cameras, LingBot, or SANA-WM semantics;
callers ... | 465 | 15,119 |
sglang | python/sglang/multimodal_gen/runtime/realtime/session.py | .py | # SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
from collections import OrderedDict
from typing import Any
from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger
logger = init_logger(__name__)
class BaseRealtimeState:
"""per-session state owned by pipeline stages"""... | 113 | 3,798 |
sglang | python/sglang/multimodal_gen/runtime/realtime/states/__init__.py | .py | # SPDX-License-Identifier: Apache-2.0
"""reusable session-scoped state implementations for realtime pipelines"""
from sglang.multimodal_gen.runtime.realtime.states.camera_control import (
RealtimeCameraControlState,
)
from sglang.multimodal_gen.runtime.realtime.states.causal import (
RealtimeCausalDecodeState... | 20 | 536 |
sglang | python/sglang/multimodal_gen/runtime/realtime/states/camera_control.py | .py | # SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
from collections.abc import Callable
from typing import Any
from sglang.multimodal_gen.runtime.realtime.control_signals import (
ControlScriptQueue,
ControlStateQueue,
ControlStateTransition,
parse_control_event_payload,
)
Came... | 157 | 6,039 |
sglang | python/sglang/multimodal_gen/runtime/realtime/states/causal.py | .py | # SPDX-License-Identifier: Apache-2.0
from typing import Any, TypeVar, cast
from sglang.multimodal_gen.runtime.realtime.session import (
BaseRealtimeState,
RealtimeSession,
)
class RealtimeCausalDiTState(BaseRealtimeState):
"""persist causal DiT cache, chunk frontier, and output buffer"""
def __ini... | 59 | 1,658 |
sglang | python/sglang/multimodal_gen/runtime/managers/scheduler.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
import dataclasses
import pickle
import time
from collections import deque
from contextlib import contextmanager
from copy import deepcopy
from enum import Enum
from typing import Any, Iterator, List
import zmq
f... | 1,308 | 51,838 |
sglang | python/sglang/multimodal_gen/runtime/managers/cpu_worker.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
import os
import torch
from sglang.multimodal_gen.runtime.server_args import ServerArgs
from sglang.multimodal_gen.runtime.utils.logging_utils import (
init_logger,
)
from sglang.srt.utils import cpu_has_amx_... | 77 | 3,872 |
sglang | python/sglang/multimodal_gen/runtime/managers/dynamic_batch_admission.py | .py | # SPDX-License-Identifier: Apache-2.0
"""Admission control for native diffusion batching.
Native diffusion batching is model, resolution, device, and implementation
dependent. The scheduler treats `--batching-max-size` as the public ceiling;
`--batching-config` can apply stricter caps for specific model and shape
comb... | 350 | 12,654 |
sglang | python/sglang/multimodal_gen/runtime/managers/gpu_worker.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
import gc
import logging
import multiprocessing as mp
import os
import tempfile
import time
from contextlib import ExitStack
from dataclasses import dataclass, field
from typing import Any, Callable, Iterator, List... | 1,173 | 46,202 |
sglang | python/sglang/multimodal_gen/runtime/managers/forward_context.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
# Adapted from vllm: https://github.com/vllm-project/vllm/blob/v0.7.3/vllm/forward_context.py
import time
from collections import defaultdict
from contextlib import contextmanager
from dataclasses import dataclass
... | 121 | 4,637 |
sglang | python/sglang/multimodal_gen/runtime/managers/memory_managers/layerwise_offload.py | .py | import bisect
import re
from collections.abc import Mapping, Sequence
from typing import Any, Dict, List, Set, Tuple
import torch
from torch.distributed.tensor import DTensor
from sglang.multimodal_gen.runtime.disaggregation.roles import RoleType
from sglang.multimodal_gen.runtime.managers.memory_managers.component_r... | 1,102 | 47,637 |
sglang | python/sglang/multimodal_gen/runtime/managers/memory_managers/component_loading_order.py | .py | """Memory-aware ordering for pipeline component weight loads to avoid OOM while loading.
Load the VRAM-intensive components earlier than others
The pipeline owns component selection, path resolution, and actual loading; this
module only ranks already-selected load specs.
"""
import glob
import json
import os
from da... | 175 | 5,879 |
sglang | python/sglang/multimodal_gen/runtime/managers/memory_managers/component_residency_strategies.py | .py | """Runtime strategies used by the component residency manager."""
from __future__ import annotations
from typing import TYPE_CHECKING
import torch
import torch.nn as nn
from torch.distributed.fsdp import FSDPModule
from sglang.multimodal_gen.runtime.distributed import get_local_torch_device
from sglang.multimodal_g... | 230 | 6,552 |
sglang | python/sglang/multimodal_gen/runtime/managers/memory_managers/memory_occupation_controller.py | .py | # SPDX-License-Identifier: Apache-2.0
import gc
import torch
from sglang.multimodal_gen.runtime.managers.memory_managers.layerwise_offload import (
is_layerwise_offloaded_module,
)
from sglang.multimodal_gen.runtime.pipelines_core import ComposedPipelineBase
from sglang.multimodal_gen.runtime.post_training.weigh... | 226 | 7,854 |
sglang | python/sglang/multimodal_gen/runtime/managers/memory_managers/component_manager.py | .py | from collections.abc import Iterator
from contextlib import contextmanager
from dataclasses import dataclass
from typing import Mapping, MutableMapping, Protocol, Sequence
import torch
import torch.nn as nn
from sglang.multimodal_gen.runtime.managers.memory_managers.component_residency import (
COMPONENT_OFFLOAD,... | 676 | 26,381 |
sglang | python/sglang/multimodal_gen/runtime/managers/memory_managers/layerwise_offload_components.py | .py | from collections.abc import Collection, Sequence
LAYERWISE_OFFLOAD_ALL_COMPONENTS = "all"
LAYERWISE_OFFLOAD_DIT_GROUP = "dit"
LAYERWISE_OFFLOAD_TEXT_ENCODER_GROUP = "text_encoder"
LAYERWISE_OFFLOAD_IMAGE_ENCODER_GROUP = "image_encoder"
LAYERWISE_OFFLOAD_VAE_GROUP = "vae"
LAYERWISE_OFFLOAD_DEFAULT_GROUP = "default"
# ... | 219 | 7,679 |
sglang | python/sglang/multimodal_gen/runtime/managers/memory_managers/component_residency.py | .py | """Parsing and resolution for component residency CLI modes."""
from __future__ import annotations
from collections.abc import Mapping, Sequence
from sglang.multimodal_gen.runtime.managers.memory_managers.layerwise_offload_components import (
LAYERWISE_OFFLOAD_ALL_COMPONENTS,
LAYERWISE_OFFLOAD_DIT_GROUP,
... | 163 | 5,577 |
sglang | python/sglang/multimodal_gen/runtime/postprocess/realesrgan_upscaler.py | .py | # SPDX-License-Identifier: Apache-2.0
"""
Real-ESRGAN upscaling for SGLang diffusion pipelines.
Real-ESRGAN model code is vendored and adapted from:
- https://github.com/xinntao/Real-ESRGAN (BSD-3-Clause License)
Copyright (c) 2021 xinntao
The ImageUpscaler wrapper and integration code are original work.
"""
im... | 823 | 30,718 |
sglang | python/sglang/multimodal_gen/runtime/postprocess/__init__.py | .py | # SPDX-License-Identifier: Apache-2.0
"""Frame interpolation and upscaling support for SGLang diffusion pipelines."""
from sglang.multimodal_gen.runtime.postprocess.realesrgan_upscaler import (
ImageUpscaler,
batch_upscale_frames,
upscale_frames,
)
from sglang.multimodal_gen.runtime.postprocess.rife_interp... | 21 | 534 |
sglang | python/sglang/multimodal_gen/runtime/postprocess/rife_interpolator.py | .py | # SPDX-License-Identifier: Apache-2.0
"""
RIFE 4.22.lite frame interpolation for SGLang diffusion pipelines.
RIFE model code is vendored and adapted from:
- https://github.com/hzwer/ECCV2022-RIFE (MIT License)
- https://github.com/hzwer/Practical-RIFE (MIT License)
Copyright (c) 2021 Zhewei Huang
The FrameInt... | 539 | 17,840 |
sglang | python/sglang/multimodal_gen/runtime/models/parameter.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
# Adapted from: https://github.com/vllm-project/vllm/blob/v0.7.3/vllm/model_executor/parameter.py
from collections.abc import Callable
from frac... | 425 | 14,990 |
sglang | python/sglang/multimodal_gen/runtime/models/registry.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
# Adapted from vllm: https://github.com/vllm-project/vllm/blob/v0.7.3/vllm/model_executor/models/registry.py
import ast
import importlib
import os
import pickle
import subprocess
import sys
import tempfile
from ab... | 430 | 15,260 |
sglang | python/sglang/multimodal_gen/runtime/models/schedulers/scheduling_self_forcing_flow_match.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
import torch
from diffusers.configuration_utils import ConfigMixin, register_to_config
from diffusers.schedulers.scheduling_utils import SchedulerMixin
from diffusers.utils import BaseOutput
from sglang.multimodal... | 143 | 5,094 |
sglang | python/sglang/multimodal_gen/runtime/models/schedulers/scheduling_comfyui_passthrough.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
"""
Pass-through scheduler for ComfyUI integration.
This scheduler does not modify latents - it simply returns the input sample unchanged.
The actual denoising logic is handled by ComfyUI.
"""
import torch
from di... | 194 | 6,043 |
sglang | python/sglang/multimodal_gen/runtime/models/schedulers/scheduling_dpm_solver_multistep.py | .py | # SPDX-License-Identifier: Apache-2.0
#
# DPM-Solver++ multistep scheduler wrapper for SANA.
#
# SANA uses DPM-Solver++ (Lu et al., 2022) as its noise scheduler, which
# is a high-order ODE solver that converges in fewer steps than DDIM.
# With solver_order=2 and 20 steps, SANA achieves high-quality results.
#
# This w... | 149 | 5,214 |
sglang | python/sglang/multimodal_gen/runtime/models/schedulers/scheduling_minimax_h3_euler_ancestral.py | .py | # SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
import math
from typing import Any
import torch
def _require_finite_tensor(tensor: torch.Tensor, name: str) -> None:
if not bool(torch.isfinite(tensor).all().item()):
raise ValueError(f"{name} must be finite")
def _validate_unit_... | 215 | 7,281 |
sglang | python/sglang/multimodal_gen/runtime/models/schedulers/scheduling_unipc_multistep.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# Copyright 2025 TSAIL Team and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
... | 1,233 | 50,871 |
sglang | python/sglang/multimodal_gen/runtime/models/schedulers/scheduling_flow_unipc_multistep.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
# Copied from https://github.com/huggingface/diffusers/blob/v0.31.0/src/diffusers/schedulers/scheduling_unipc_multistep.py
# Convert unipc for flow matching
# Copyright 2024-2025 The Alibaba Wan Team Authors. All r... | 844 | 34,234 |
sglang | python/sglang/multimodal_gen/runtime/models/schedulers/flow_match_pair.py | .py | # Copied and adapted from: https://github.com/OpenMOSS/MOVA/tree/main/mova/diffusion/schedulers/flow_match.py and flow_match_pair.py
# SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
import math
import torch
from sglang.multimodal_gen.runtime.models.schedulers.base import BaseScheduler
clas... | 532 | 20,879 |
sglang | python/sglang/multimodal_gen/runtime/models/schedulers/scheduling_helios.py | .py | # SPDX-License-Identifier: Apache-2.0
# Adapted from Helios diffusers scheduler:
# https://github.com/BestWishYsh/Helios
"""
Helios scheduler implementing flow-matching with UniPC/Euler solvers.
For Phase 1 T2V (stages=1), this simplifies to standard flow-matching
with dynamic shifting and UniPC multistep solver.
"""
... | 745 | 26,447 |
sglang | python/sglang/multimodal_gen/runtime/models/schedulers/scheduling_flow_match_euler_discrete.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
# Copyright 2024 Stability AI, Katherine Crowson and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance ... | 709 | 29,074 |
sglang | python/sglang/multimodal_gen/runtime/models/schedulers/hunyuan3d_scheduler.py | .py | # Copied and adapted from: https://github.com/Tencent-Hunyuan/Hunyuan3D-2
from __future__ import annotations
import math
from dataclasses import dataclass
from typing import List, Optional, Tuple, Union
import numpy as np
import torch
from diffusers.configuration_utils import ConfigMixin, register_to_config
from diff... | 372 | 12,967 |
sglang | python/sglang/multimodal_gen/runtime/models/schedulers/base.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
from abc import ABC, abstractmethod
import torch
class BaseScheduler(ABC):
timesteps: torch.Tensor
order: int
num_train_timesteps: int
def __init__(self, *args, **kwargs) -> None:
# Che... | 38 | 983 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/qwen_image.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
import functools
from typing import Any, Dict, List, Optional, Tuple, Union
import diffusers
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from diffusers.models.embeddings ... | 1,633 | 62,448 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/joy_image.py | .py | # SPDX-License-Identifier: Apache-2.0
import math
from functools import lru_cache
from typing import Any, Optional, Tuple
import torch
import torch.nn as nn
from einops import rearrange
from sglang.multimodal_gen.configs.models.dits.joy_image import JoyImageDiTConfig
from sglang.multimodal_gen.configs.models.fsdp im... | 597 | 20,770 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/glm_image.py | .py | # Copyright 2025 The CogView team, Tsinghua University & ZhipuAI and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/l... | 1,156 | 41,311 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/causal_wanvideo.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
import math
from typing import Any
import torch
import torch.nn as nn
from torch.nn.attention.flex_attention import (
BlockMask,
create_block_mask,
flex_attention,
)
from sglang.multimodal_gen.runtim... | 754 | 26,712 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/longlive2.py | .py | # SPDX-License-Identifier: Apache-2.0
from typing import Any
import torch
import torch.nn as nn
from torch.nn.attention.flex_attention import BlockMask
from sglang.multimodal_gen.configs.models.dits.longlive2 import LongLive2VideoConfig
from sglang.multimodal_gen.configs.models.fsdp import is_block
from sglang.multim... | 191 | 6,876 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/ltx_2.py | .py | # Copied and adapted from LTX-2 and WanVideo implementations.
#
# SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
from typing import Any, Optional, Tuple, Union
import torch
import torch.nn as nn
import torch.nn.functional as F
from sglang.kernels.ops.diffusion.bitexact_gate import BitExactFu... | 2,347 | 94,084 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/flux.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# Copyright 2025 Black Forest Labs, The HuggingFace Team and The InstantX Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain... | 1,390 | 52,284 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/helios.py | .py | # SPDX-License-Identifier: Apache-2.0
# Adapted from Helios diffusers transformer:
# https://github.com/BestWishYsh/Helios
"""
Helios Transformer 3D model for video generation.
Implements the HeliosTransformer3DModel with multi-term memory patches,
3D rotary position embeddings, and per-block scale-shift modulation.
"... | 975 | 36,846 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/flux_2.py | .py | # Copyright 2025 Black Forest Labs, The HuggingFace Team and The InstantX Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LIC... | 1,290 | 49,194 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/stable_diffusion.py | .py | # SPDX-License-Identifier: Apache-2.0
"""Native Stable Diffusion 2.1 UNet blocks used by Hunyuan3D texture models."""
from __future__ import annotations
import math
from dataclasses import dataclass
from typing import Any
import torch
import torch.nn.functional as F
from torch import nn
from sglang.multimodal_gen.r... | 919 | 33,393 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/sana_wm_refiner_transformer.py | .py | # SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
from typing import Any, Optional
import torch
import torch.nn as nn
from sglang.multimodal_gen.configs.models.dits.sana_wm_refiner import (
SanaWMRefinerArchConfig,
SanaWMRefinerConfig,
)
from sglang.multimodal_gen.configs.models.fsdp ... | 427 | 15,189 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/longcat_image.py | .py | # Copied and adapted from: https://github.com/huggingface/diffusers
# main/src/diffusers/models/transformers/transformer_longcat_image.py
"""LongCat-Image Transformer2D model for SGLang.
Implements the LongCatImageTransformer2DModel architecture from diffusers
adapted for SGLang's inference pipeline.
Key adaptation: ... | 711 | 26,728 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/krea2.py | .py | """Krea-2 (K2) single-stream MMDiT.
Text and image tokens are concatenated into a single joint-attention stream. The
model uses GQA attention with a sigmoid output gate, 6-way shared adaLN
modulation, a text-fusion transformer that fuses the selected text-encoder
hidden-state layers into one, and interleaved 3-axis Ro... | 757 | 25,805 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/sana.py | .py | # SPDX-License-Identifier: Apache-2.0
import torch
import torch.nn as nn
import torch.nn.functional as F
from diffusers.models.embeddings import PixArtAlphaTextProjection, TimestepEmbedding
from sglang.kernels.ops.diffusion.bitexact_gate import BitExactFusionGate
from sglang.kernels.ops.diffusion.triton.layernorm_mod... | 548 | 20,396 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/sana_wm_components.py | .py | # SPDX-License-Identifier: Apache-2.0
"""SANA-WM DiT building blocks (components).
Reusable primitives, RoPE / UCPE camera geometry, GDN scan kernels, embedders,
FFN, and the SANA-WM attention modules.
"""
import math
from typing import Callable, List, Optional, Tuple
import torch
import torch.nn as nn
import torch.... | 3,036 | 108,209 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/cosmos3video.py | .py | # SPDX-License-Identifier: Apache-2.0
"""Cosmos3 Omni transformer.
Dual-pathway DiT: an Understanding (UND) pathway runs causal self-attention
over the text tokens once and caches its K/V; a Generation (GEN) pathway
cross-attends from noisy visual tokens to that cache at every denoising step.
"""
import math
from col... | 1,849 | 70,807 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/mova_video_dit.py | .py | # Copied and adapted from: mossVG/mova/diffusion/models/wan_video_dit.py
# SPDX-License-Identifier: Apache-2.0
#
# NOTE: This module shares common functions (sinusoidal_embedding_1d, precompute_freqs_cis, etc.)
# with wanvideo.py. These functions are kept here for MOVA-specific model architecture,
# but could be refact... | 587 | 21,266 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/minimax_h3.py | .py | # SPDX-License-Identifier: Apache-2.0
"""MiniMax H3 packed-token DiT.
Native SGLang implementation of the MiniMax H3 audio-video DiT. The forward
contract accepts packed inference keyword arguments and returns packed logits.
"""
from __future__ import annotations
import math
import os
import struct
from contextlib i... | 2,142 | 81,710 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/ideogram.py | .py | # SPDX-License-Identifier: Apache-2.0
import math
from typing import Any
import torch
import torch.nn as nn
import torch.nn.functional as F
from sglang.kernels.ops.diffusion.bitexact_gate import (
BitExactFusionGate,
tensors_equal,
)
from sglang.kernels.ops.diffusion.fused_gate_rmsnorm import (
fused_gat... | 779 | 26,086 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/sana_wm.py | .py | # SPDX-License-Identifier: Apache-2.0
import os
from typing import Callable, List, Optional, Tuple
import torch
import torch.nn as nn
from sglang.multimodal_gen.configs.models.dits.sana_wm import SanaWMConfig
from sglang.multimodal_gen.configs.models.fsdp import (
is_blocks_or_transformer_blocks,
)
from sglang.m... | 909 | 34,883 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/zimage.py | .py | import math
from typing import Any, List, Optional, Tuple
import torch
import torch.nn as nn
from sglang.multimodal_gen.configs.models.dits.zimage import ZImageDitConfig
from sglang.multimodal_gen.configs.models.fsdp import is_zimage_layer
from sglang.multimodal_gen.runtime.distributed import (
get_sp_world_size,... | 1,641 | 59,629 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/common.py | .py | # SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
from typing import Any
import torch
def modulate(
x: torch.Tensor,
shift: torch.Tensor | None = None,
scale: torch.Tensor | None = None,
) -> torch.Tensor:
"""Modulate by shift and scale."""
if scale is None and shift is N... | 66 | 2,268 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/lingbot_world.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# Adapted from: https://github.com/Robbyant/lingbot-world
# SPDX-License-Identifier: Apache-2.0
import math
from functools import lru_cache
from typing import Any
import torch
import torch.distributed as dist
import torch.nn as nn
import torch.nn.fun... | 1,637 | 60,880 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/wanvideo.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
import math
from functools import lru_cache
from typing import Any
import torch
import torch.nn as nn
from sglang.kernels.ops.diffusion.bitexact_gate import (
BitExactFusionGate,
tensors_equal,
)
from sg... | 1,339 | 47,067 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/stablediffusion3.py | .py | # SPDX-License-Identifier: Apache-2.0
"""StableDiffusion3 Transformer model implementation.
NOTE: This initial implementation uses diffusers' JointTransformerBlock directly.
A native SGLang attention implementation is needed for FlashAttention, TP/SP,
quantization, and LoRA support.
"""
from typing import Any
import... | 196 | 7,430 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/ernie_image.py | .py | # Copyright 2026 Baidu ERNIE-Image Team and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# U... | 845 | 28,658 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/mova_audio_dit.py | .py | # Copied and adapted from: mossVG/mova/diffusion/models/wan_audio_dit.py
# SPDX-License-Identifier: Apache-2.0
#
# NOTE: This module reuses common functions from mova_video_dit.py to reduce
# code duplication. Audio-specific precompute_freqs_cis_1d is kept here.
import math
from typing import Any, Optional, Tuple
imp... | 253 | 9,370 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/hunyuan3d.py | .py | # Copied and adapted from: https://github.com/Tencent-Hunyuan/Hunyuan3D-2
from __future__ import annotations
import math
from dataclasses import dataclass
from typing import Optional, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from sglang.multimodal_gen.configs.models.dits.hunyuan3d imp... | 615 | 21,234 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/hunyuanvideo.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
from typing import Any
import numpy as np
import torch
import torch.nn as nn
from sglang.kernels.ops.diffusion.bitexact_gate import (
BitExactFusionGate,
tensors_equal,
)
from sglang.kernels.ops.diffusio... | 1,278 | 42,194 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/lingbot_video_moe.py | .py | # SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
import math
from typing import Any, Iterable, Iterator, Optional
import torch
import torch.nn.functional as F
from diffusers.models.embeddings import TimestepEmbedding, Timesteps
from torch import nn
from sglang.multimodal_gen.configs.models.d... | 580 | 21,647 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/base.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
from abc import ABC, abstractmethod
from typing import Any
import torch
from torch import nn
from sglang.multimodal_gen.configs.models.dits.base import DiTArchConfig, DiTConfig
# NOTE: SpectrumMixin lives in run... | 152 | 5,782 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/sana_video.py | .py | # Copyright 2025 The HuggingFace Team and SANA-Video Team.
# SPDX-License-Identifier: Apache-2.0
"""Native SGLang implementation of the SANA-Video 3D transformer."""
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from diffusers.models.embeddings import PixArtAlphaTextProjection
from s... | 514 | 19,343 |
sglang | python/sglang/multimodal_gen/runtime/models/dits/hunyuan3d_paint.py | .py | # SPDX-License-Identifier: Apache-2.0
"""Native multi-view UNet used by Hunyuan3D Paint."""
from __future__ import annotations
import copy
from typing import Any
import torch
from einops import rearrange
from torch import nn
from sglang.multimodal_gen.runtime.managers.memory_managers.layerwise_offload import (
... | 387 | 14,467 |
sglang | python/sglang/multimodal_gen/runtime/models/vlas/pi05_policy.py | .py | # SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
import json
import os
from dataclasses import dataclass, field
from pathlib import Path
from typing import Any, Iterator
import torch
from safetensors import safe_open
from torch import nn
from torch.distributed.fsdp import MixedPrecisionPolicy... | 1,177 | 44,429 |
sglang | python/sglang/multimodal_gen/runtime/models/vlas/pi05_core.py | .py | # SPDX-License-Identifier: Apache-2.0
# Adapted from OpenPI and LeRobot Pi0.5 PyTorch inference semantics.
from __future__ import annotations
import math
from dataclasses import dataclass
from typing import Any, Literal
import torch
import torch.nn.functional as F
from torch import Tensor, nn
from transformers.model... | 1,533 | 57,322 |
sglang | python/sglang/multimodal_gen/runtime/models/vlas/__init__.py | .py | # SPDX-License-Identifier: Apache-2.0
from sglang.multimodal_gen.runtime.models.vlas.pi05_policy import Pi05PolicyModel
__all__ = ["Pi05PolicyModel"]
| 6 | 152 |
sglang | python/sglang/multimodal_gen/runtime/models/bridges/__init__.py | .py | # SPDX-License-Identifier: Apache-2.0
from sglang.multimodal_gen.runtime.models.bridges.mova_dual_tower import (
DualTowerConditionalBridge,
)
__all__ = ["DualTowerConditionalBridge"]
| 8 | 190 |
sglang | python/sglang/multimodal_gen/runtime/models/bridges/mova_dual_tower.py | .py | # SPDX-License-Identifier: Apache-2.0
# Copied and adapted from: mossVG/mova/diffusion/models/interactionv2.py
from typing import Any, Dict, List, Optional, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from einops import rearrange
from sglang.multimodal_gen.configs.models.bridges.mova_du... | 679 | 25,603 |
sglang | python/sglang/multimodal_gen/runtime/models/decoders/ltx_2_5_diffusion_decoder.py | .py | # SPDX-License-Identifier: Apache-2.0
"""LTX-2.5 diffusion video decoder.
An alternative to the convolutional VAE decoder: stages 1-4 deterministically
upsample the latent into a context volume, and stage 5 denoises patchified
pixels conditioned on it. As shipped (`model_output_type="x0"`, one step) that
single predic... | 1,024 | 41,093 |
sglang | python/sglang/multimodal_gen/runtime/models/vocoder/ltx_2_vocoder.py | .py | import math
from abc import ABC
from contextlib import nullcontext
from typing import Tuple
import einops
import torch
import torch.nn as nn
import torch.nn.functional as F
from sglang.multimodal_gen.configs.models.vocoder.ltx_vocoder import LTXVocoderConfig
from sglang.multimodal_gen.runtime.managers.memory_managers... | 766 | 28,318 |
sglang | python/sglang/multimodal_gen/runtime/models/encoders/mistral_3.py | .py | # coding=utf-8
# Copyright 2025 HuggingFace Inc. team. All rights reserved.
#
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless req... | 749 | 26,044 |
sglang | python/sglang/multimodal_gen/runtime/models/encoders/minimax_h3_qwen3vl.py | .py | # SPDX-License-Identifier: Apache-2.0
"""Native, TP-foldable Qwen3-VL layer-50 encoder for MiniMax H3."""
from __future__ import annotations
import re
from collections.abc import Iterable
from typing import Any
import torch
import torch.nn as nn
from sglang.multimodal_gen.configs.models.encoders.base import BaseEnc... | 208 | 8,280 |
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