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/configs/models/dits/zimage.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from typing import Tuple
from sglang.multimodal_gen.configs.models.dits.base import DiTArchConfig, DiTConfig
@dataclass
class ZImageArchConfig(DiTArchConfig):
all_pat... | 99 | 3,295 |
sglang | python/sglang/multimodal_gen/configs/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
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.dits.base import DiTArchConfig, DiTConfig
@dataclass
class LingBotWorl... | 86 | 4,361 |
sglang | python/sglang/multimodal_gen/configs/models/dits/wanvideo.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.dits.base import DiTArchConfig, DiTConfig
@dataclass
class WanVideoArchConfig(DiTArchConfig):
param_names_mapping: dict = fi... | 123 | 6,646 |
sglang | python/sglang/multimodal_gen/configs/models/dits/stablediffusion3.py | .py | # SPDX-License-Identifier: Apache-2.0
"""StableDiffusion3 Transformer model configuration"""
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.dits.base import DiTArchConfig, DiTConfig
@dataclass
class StableDiffusion3TransformerArchConfig(DiTArchConfig):
"""Architecture configu... | 39 | 1,209 |
sglang | python/sglang/multimodal_gen/configs/models/dits/ernie_image.py | .py | # SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from typing import Tuple
from sglang.multimodal_gen.configs.models.dits.base import DiTArchConfig, DiTConfig
@dataclass
class ErnieImageArchConfig(DiTArchConfig):
patch_size: int = 1
in_channels: int = 128
out_channels: int =... | 43 | 1,295 |
sglang | python/sglang/multimodal_gen/configs/models/dits/hunyuan3d.py | .py | # SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.dits.base import DiTArchConfig, DiTConfig
@dataclass
class Hunyuan3DDiTArchConfig(DiTArchConfig):
"""Architecture config for Hunyuan3D DiT (Flux-style for Hunyuan3D-2.0)."""
param_names_m... | 101 | 4,712 |
sglang | python/sglang/multimodal_gen/configs/models/dits/hunyuanvideo.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
import torch
from sglang.multimodal_gen.configs.models.dits.base import DiTArchConfig, DiTConfig
@dataclass
class HunyuanVideoArchConfig(DiTArchConfig):
param_names_... | 161 | 8,219 |
sglang | python/sglang/multimodal_gen/configs/models/dits/lingbot_video_moe.py | .py | # SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.dits.base import DiTArchConfig, DiTConfig
@dataclass
class LingBotVideoMoEArchConfig(DiTArchConfig):
param_names_mapping: dict = field(default_factory=dict)
reverse_param_names_mapping: di... | 54 | 1,598 |
sglang | python/sglang/multimodal_gen/configs/models/dits/base.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from typing import Any
from sglang.multimodal_gen.configs.models.base import ArchConfig, ModelConfig
from sglang.multimodal_gen.runtime.layers.quantization import Quantizat... | 75 | 2,563 |
sglang | python/sglang/multimodal_gen/configs/models/dits/sana_video.py | .py | # SPDX-License-Identifier: Apache-2.0
"""Architecture configuration for the SANA-Video 3D transformer."""
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.dits.base import DiTArchConfig, DiTConfig
@dataclass
class SanaVideoArchConfig(DiTArchConfig):
patch_size: tuple[int, int, ... | 76 | 2,364 |
sglang | python/sglang/multimodal_gen/configs/models/dits/glmimage.py | .py | from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.dits.base import DiTArchConfig, DiTConfig
@dataclass
class GlmImageArchConfig(DiTArchConfig):
patch_size: int = 2
in_channels: int = 16
out_channels: int | None = 16
num_layers: int = 30
attention_head_dim: int = 1... | 40 | 1,196 |
sglang | python/sglang/multimodal_gen/configs/models/bridges/__init__.py | .py | # SPDX-License-Identifier: Apache-2.0
from sglang.multimodal_gen.configs.models.bridges.mova_dual_tower import (
MOVADualTowerConfig,
)
__all__ = ["MOVADualTowerConfig"]
| 8 | 176 |
sglang | python/sglang/multimodal_gen/configs/models/bridges/mova_dual_tower.py | .py | # SPDX-License-Identifier: Apache-2.0
"""Configuration for MOVA dual tower bridge model."""
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.dits.base import DiTArchConfig, DiTConfig
@dataclass
class MOVADualTowerArchConfig(DiTArchConfig):
# Model architecture parameters
vi... | 34 | 1,025 |
sglang | python/sglang/multimodal_gen/configs/models/decoders/ltx_2_5_diffusion_decoder.py | .py | # SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.base import ArchConfig, ModelConfig
@dataclass
class LTX25DiffusionDecoderArchConfig(ArchConfig):
"""LTX-2.5 diffusion video decoder.
Field names match `diffusion_decoder/config.json` ver... | 49 | 1,649 |
sglang | python/sglang/multimodal_gen/configs/models/decoders/__init__.py | .py | # SPDX-License-Identifier: Apache-2.0
from sglang.multimodal_gen.configs.models.decoders.ltx_2_5_diffusion_decoder import (
LTX25DiffusionDecoderArchConfig,
LTX25DiffusionDecoderConfig,
)
__all__ = [
"LTX25DiffusionDecoderArchConfig",
"LTX25DiffusionDecoderConfig",
]
| 12 | 286 |
sglang | python/sglang/multimodal_gen/configs/models/vocoder/__init__.py | .py | from sglang.multimodal_gen.configs.models.vocoder.ltx_vocoder import LTXVocoderConfig
__all__ = ["LTXVocoderConfig"]
| 4 | 118 |
sglang | python/sglang/multimodal_gen/configs/models/vocoder/ltx_vocoder.py | .py | # SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from typing import Any, List
from sglang.multimodal_gen.configs.models.vocoder.base import (
VocoderArchConfig,
VocoderConfig,
)
# `LTX2VocoderWithBWE` stores both stacks with diffusers module names; SGLang
# follows ltx-core namin... | 116 | 5,143 |
sglang | python/sglang/multimodal_gen/configs/models/vocoder/base.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
import argparse
import dataclasses
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.base import ArchConfig, ModelConfig
@dataclass
class VocoderArchConfig(ArchConfig):
in_ch... | 30 | 833 |
sglang | python/sglang/multimodal_gen/configs/models/encoders/qwen_image.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.encoders.base import (
TextEncoderArchConfig,
TextEncoderConfig,
)
from sglang.multimodal_gen.configs.models.fsdp import (... | 67 | 2,072 |
sglang | python/sglang/multimodal_gen/configs/models/encoders/minimax_h3_qwen3vl.py | .py | # SPDX-License-Identifier: Apache-2.0
"""Native Qwen3-VL encoder configuration for MiniMax H3."""
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.encoders.qwen3vl import (
Qwen3VLArchConfig,
Qwen3VLConfig,
)
MINIMAX_H3_QWEN3VL_SELECTED_LM_LAYER = 50
@dataclass
class MiniM... | 58 | 1,929 |
sglang | python/sglang/multimodal_gen/configs/models/encoders/clip.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.encoders.base import (
ImageEncoderArchConfig,
ImageEncoderConfig,
TextEncoderArchConfig,
TextEncoderConfig,
)
fro... | 98 | 2,978 |
sglang | python/sglang/multimodal_gen/configs/models/encoders/flux_2.py | .py | # SPDX-License-Identifier: Apache-2.0
"""FLUX.2 Mistral text encoder configuration and prompt formatting."""
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.encoders.base import (
TextEncoderArchConfig,
TextEncoderConfig,
)
from sglang.multimodal_gen.configs.models.fsdp impo... | 60 | 1,873 |
sglang | python/sglang/multimodal_gen/configs/models/encoders/__init__.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
from sglang.multimodal_gen.configs.models.encoders.base import (
BaseEncoderOutput,
EncoderConfig,
ImageEncoderConfig,
TextEncoderConfig,
)
from sglang.multimodal_gen.configs.models.encoders.clip import (
CLIPTextConfig,
CLIPVis... | 56 | 1,792 |
sglang | python/sglang/multimodal_gen/configs/models/encoders/qwen3.py | .py | # SPDX-License-Identifier: Apache-2.0
"""Qwen3 text encoder configuration for SGLang diffusion models."""
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.encoders.base import (
TextEncoderArchConfig,
TextEncoderConfig,
)
from sglang.multimodal_gen.configs.models.fsdp import ... | 80 | 2,442 |
sglang | python/sglang/multimodal_gen/configs/models/encoders/qwen3vl.py | .py | # SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.encoders.base import (
TextEncoderArchConfig,
TextEncoderConfig,
)
from sglang.multimodal_gen.configs.models.fsdp import (
is_block,
is_embed_tokens,
is_final_norm,
is_layer... | 89 | 2,527 |
sglang | python/sglang/multimodal_gen/configs/models/encoders/ideogram.py | .py | # SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.encoders.qwen3vl import (
Qwen3VLArchConfig,
Qwen3VLConfig,
)
@dataclass
class Ideogram4TextEncoderConfig(Qwen3VLConfig):
"""Use the local Ideogram text_encoder as a language-only Qwe... | 38 | 1,529 |
sglang | python/sglang/multimodal_gen/configs/models/encoders/gemma_3.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.encoders.base import (
TextEncoderArchConfig,
TextEncoderConfig,
)
from sglang.multimodal_gen.configs.models.fsdp import ... | 75 | 2,336 |
sglang | python/sglang/multimodal_gen/configs/models/encoders/mistral3.py | .py | # SPDX-License-Identifier: Apache-2.0
"""Mistral3 text encoder configuration for SGLang diffusion models."""
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.encoders.base import (
TextEncoderArchConfig,
TextEncoderConfig,
)
from sglang.multimodal_gen.configs.models.fsdp impo... | 66 | 1,939 |
sglang | python/sglang/multimodal_gen/configs/models/encoders/gemma2.py | .py | # SPDX-License-Identifier: Apache-2.0
#
# Text encoder configuration for Gemma2 2B, used by SANA for text conditioning.
#
# SANA uses the hidden states from Gemma2 (not logits) as the conditioning
# signal for cross-attention in the DiT. The encoder output dimension (2304)
# is projected to the DiT's inner_dim via capt... | 81 | 2,674 |
sglang | python/sglang/multimodal_gen/configs/models/encoders/llama.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.encoders.base import (
TextEncoderArchConfig,
TextEncoderConfig,
)
from sglang.multimodal_gen.configs.models.fsdp import (... | 63 | 1,900 |
sglang | python/sglang/multimodal_gen/configs/models/encoders/base.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from typing import Any
import torch
from sglang.multimodal_gen.configs.models.base import ArchConfig, ModelConfig
from sglang.multimodal_gen.runtime.layers.quantization im... | 95 | 3,127 |
sglang | python/sglang/multimodal_gen/configs/models/encoders/gemma_4_unified.py | .py | # SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.encoders.base import (
TextEncoderArchConfig,
TextEncoderConfig,
)
from sglang.multimodal_gen.configs.models.fsdp import (
is_embed_tokens,
is_final_norm,
is_layer,
)
@datacla... | 71 | 2,550 |
sglang | python/sglang/multimodal_gen/configs/models/encoders/t5.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
import argparse
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.encoders.base import (
TextEncoderArchConfig,
TextEncoderConfig,
)
from sglang.multimodal_gen.configs.mode... | 87 | 2,568 |
sglang | python/sglang/multimodal_gen/configs/models/adapter/ltx_2_duration_head.py | .py | # SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.adapter.base import (
AdapterArchConfig,
AdapterConfig,
)
@dataclass
class LTX2DurationHeadArchConfig(AdapterArchConfig):
"""LTX-2.5 duration head.
Field names match `duration_hea... | 31 | 811 |
sglang | python/sglang/multimodal_gen/configs/models/adapter/ltx_2_connector.py | .py | from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.adapter.base import (
AdapterArchConfig,
AdapterConfig,
)
# Diffusers names the per-modality projections `video_text_proj_in` /
# `audio_text_proj_in`; SGLang follows ltx-core (`*_aggregate_embed`). Every
# other connector weig... | 74 | 2,780 |
sglang | python/sglang/multimodal_gen/configs/models/adapter/base.py | .py | # SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from typing import Any
from sglang.multimodal_gen.configs.models.base import ArchConfig, ModelConfig
from sglang.multimodal_gen.runtime.platforms import AttentionBackendEnum
@dataclass
class AdapterArchConfig(ArchConfig):
_fsdp_shard_... | 66 | 2,306 |
sglang | python/sglang/multimodal_gen/configs/models/vaes/minimax_h3_video.py | .py | # SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.vaes.base import VAEArchConfig, VAEConfig
from sglang.multimodal_gen.configs.models.vaes.minimax_h3_contract import (
validate_minimax_h3_vae_latent_stats,
)
@dataclass
class MiniMaxH3VideoVAE... | 69 | 2,424 |
sglang | python/sglang/multimodal_gen/configs/models/vaes/ltx_video.py | .py | # SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from typing import Any, List
from sglang.multimodal_gen.configs.models.vaes.base import VAEArchConfig, VAEConfig
@dataclass
class LTXVideoVAEArchConfig(VAEArchConfig):
# Architecture params
in_channels: int = 3
latent_channels... | 80 | 2,834 |
sglang | python/sglang/multimodal_gen/configs/models/vaes/ltx_2_5_video.py | .py | # SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from typing import List
from sglang.multimodal_gen.configs.models.vaes.ltx_video import (
LTXVideoVAEArchConfig,
LTXVideoVAEConfig,
)
@dataclass
class LTX25VideoVAEArchConfig(LTXVideoVAEArchConfig):
"""LTX-2.5 video VAE.
... | 56 | 1,787 |
sglang | python/sglang/multimodal_gen/configs/models/vaes/hunyuanvae.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.vaes.base import VAEArchConfig, VAEConfig
@dataclass
class HunyuanVAEArchConfig(VAEArchConfig):
in_channels: int = 3
out... | 46 | 1,435 |
sglang | python/sglang/multimodal_gen/configs/models/vaes/qwenimage.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.vaes.base import VAEArchConfig, VAEConfig
@dataclass
class QwenImageVAEArchConfig(VAEArchConfig):
spatial_compression_ratio:... | 54 | 1,598 |
sglang | python/sglang/multimodal_gen/configs/models/vaes/flux.py | .py | # SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.vaes.base import VAEArchConfig, VAEConfig
@dataclass
class FluxVAEArchConfig(VAEArchConfig):
spatial_compression_ratio: int = 1
base_dim: int = 96
decoder_base_dim: int | None = None
... | 71 | 2,180 |
sglang | python/sglang/multimodal_gen/configs/models/vaes/__init__.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
from sglang.multimodal_gen.configs.models.vaes.dac import DacVAEConfig
from sglang.multimodal_gen.configs.models.vaes.hunyuan3d import Hunyuan3DVAEConfig
from sglang.multimodal_gen.configs.models.vaes.hunyuanvae import HunyuanVAEConfig
from sglang.mult... | 26 | 892 |
sglang | python/sglang/multimodal_gen/configs/models/vaes/ltx_audio.py | .py | # SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from typing import Optional, Tuple
from sglang.multimodal_gen.configs.models.vaes.base import VAEArchConfig, VAEConfig
@dataclass
class LTXAudioVAEArchConfig(VAEArchConfig):
# Architecture params
temporal_compression_ratio: int = ... | 35 | 1,057 |
sglang | python/sglang/multimodal_gen/configs/models/vaes/stable_diffusion.py | .py | # SPDX-License-Identifier: Apache-2.0
"""Stable Diffusion AutoencoderKL configuration."""
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.vaes.base import VAEArchConfig, VAEConfig
@dataclass
class StableDiffusionVAEArchConfig(VAEArchConfig):
scaling_factor: float = 0.18215
... | 38 | 1,179 |
sglang | python/sglang/multimodal_gen/configs/models/vaes/longcat_image.py | .py | from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.vaes.base import VAEArchConfig, VAEConfig
@dataclass
class LongCatImageVAEArchConfig(VAEArchConfig):
spatial_compression_ratio: int = 8
vae_scale_factor: int = 8
# scaling_factor and shift_factor come from the model's conf... | 25 | 687 |
sglang | python/sglang/multimodal_gen/configs/models/vaes/dac.py | .py | # Copied and adapted from: mossVG/mova/diffusion/models/dac_vae.py
# SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from typing import List
from sglang.multimodal_gen.configs.models.base import ArchConfig, ModelConfig
@dataclass
class DacVAEArchConfig(ArchConfig):
codebook_dim: int... | 31 | 919 |
sglang | python/sglang/multimodal_gen/configs/models/vaes/sana.py | .py | # SPDX-License-Identifier: Apache-2.0
#
# VAE configuration for SANA's DC-AE (Deep Compression AutoEncoder).
#
# DC-AE achieves a 32x spatial compression ratio (vs. 8x for standard SD VAEs),
# which means a 1024x1024 image becomes 32x32 latents with 32 channels.
# This aggressive compression is what allows SANA to run ... | 46 | 1,822 |
sglang | python/sglang/multimodal_gen/configs/models/vaes/minimax_h3_audio.py | .py | # SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.vaes.base import VAEArchConfig, VAEConfig
from sglang.multimodal_gen.configs.models.vaes.minimax_h3_contract import (
validate_minimax_h3_vae_latent_stats,
)
@dataclass
class MiniMaxH3AudioVAE... | 36 | 1,013 |
sglang | python/sglang/multimodal_gen/configs/models/vaes/stablediffusion3.py | .py | # SPDX-License-Identifier: Apache-2.0
"""StableDiffusion3 VAE configuration."""
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.vaes.base import VAEArchConfig, VAEConfig
@dataclass
class StableDiffusion3VAEArchConfig(VAEArchConfig):
"""Architecture configuration for StableDiff... | 73 | 2,059 |
sglang | python/sglang/multimodal_gen/configs/models/vaes/ernie_image.py | .py | # SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.vaes.base import VAEArchConfig, VAEConfig
@dataclass
class ErnieImageVAEArchConfig(VAEArchConfig):
spatial_compression_ratio: int = 8
base_dim: int = 96
decoder_base_dim: int | None =... | 58 | 1,771 |
sglang | python/sglang/multimodal_gen/configs/models/vaes/hunyuan3d.py | .py | # SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.models.vaes.base import VAEArchConfig, VAEConfig
@dataclass
class Hunyuan3DVAEArchConfig(VAEArchConfig):
"""Architecture config for Hunyuan3D VAE."""
latent_shape: tuple[int, ...] = (1024, 64)
... | 25 | 712 |
sglang | python/sglang/multimodal_gen/configs/models/vaes/base.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
import argparse
import dataclasses
from dataclasses import dataclass, field
from functools import lru_cache
from typing import Any
import torch
from sglang.multimodal_gen.configs.models.base import ArchConfig, Mo... | 235 | 7,761 |
sglang | python/sglang/multimodal_gen/configs/models/vaes/glmimage.py | .py | from dataclasses import dataclass, field
import torch
from sglang.multimodal_gen.configs.models.vaes.base import VAEArchConfig, VAEConfig
@dataclass
class GlmImageVAEArchConfig(VAEArchConfig):
spatial_compression_ratio: int = 1
base_dim: int = 96
decoder_base_dim: int | None = None
z_dim: int = 16
... | 61 | 1,742 |
sglang | python/sglang/multimodal_gen/configs/models/vaes/minimax_h3_contract.py | .py | # SPDX-License-Identifier: Apache-2.0
import math
from typing import Protocol
class MiniMaxH3LatentStatsConfig(Protocol):
latent_channels: int
latents_mean: list[float] | None
latents_std: list[float] | None
class MiniMaxH3VAEContractError(ValueError):
def __init__(self, component_name: str, detail:... | 79 | 2,704 |
sglang | python/sglang/multimodal_gen/configs/models/vaes/wanvae.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
import torch
from sglang.multimodal_gen.configs.models.vaes.base import VAEArchConfig, VAEConfig
@dataclass
class WanVAEArchConfig(VAEArchConfig):
base_dim: int = 96... | 99 | 2,627 |
sglang | python/sglang/multimodal_gen/configs/sample/sampling_params.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
import argparse
import dataclasses
import hashlib
import json
import math
import os
import os.path
import re
import time
import unicodedata
import uuid
from dataclasses import dataclass, field
from enum import Enum... | 1,519 | 57,927 |
sglang | python/sglang/multimodal_gen/configs/sample/diffusers_generic.py | .py | # SPDX-License-Identifier: Apache-2.0
"""
Generic sampling parameters for diffusers backend.
This module provides generic sampling parameters that work with any diffusers pipeline.
"""
from dataclasses import dataclass, field
from typing import Any, ClassVar
from sglang.multimodal_gen.configs.sample.sampling_params ... | 51 | 1,556 |
sglang | python/sglang/multimodal_gen/configs/sample/mova.py | .py | # SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
@dataclass
class MOVASamplingParams(SamplingParams):
# Video parameters (MOVA defaults)
height: int = 352
width: int = 640
num_frames: int = 1... | 60 | 1,713 |
sglang | python/sglang/multimodal_gen/configs/sample/hunyuan.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
from sglang.multimodal_gen.configs.sample.teacache import TeaCacheParams
@dataclass
class ... | 57 | 1,666 |
sglang | python/sglang/multimodal_gen/configs/sample/joy_image.py | .py | from dataclasses import dataclass
from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
@dataclass
class JoyImageEditSamplingParams(SamplingParams):
"""Default sampling params for JoyImage Edit single-image I2I."""
negative_prompt: str = ""
num_frames: int = 1
guidance_scal... | 14 | 369 |
sglang | python/sglang/multimodal_gen/configs/sample/cosmos3.py | .py | # SPDX-License-Identifier: Apache-2.0
"""Cosmos3 sampling parameters.
A single ``SamplingParams`` class serves T2V, I2V, V2V, T2I, and
action-conditioned variants. Per-request mode is dispatched in the pipeline
from ``num_frames`` (``== 1`` → T2I), ``image_path`` (set → I2V),
``video_path`` (set → V2V), and ``action_... | 191 | 7,453 |
sglang | python/sglang/multimodal_gen/configs/sample/longlive2.py | .py | # SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.sample.wan import Wan2_2_TI2V_5B_SamplingParam
@dataclass
class LongLive2SamplingParams(Wan2_2_TI2V_5B_SamplingParam):
height: int = 704
width: int = 1280
fps: int = 24
num_inference_step... | 75 | 2,834 |
sglang | python/sglang/multimodal_gen/configs/sample/qwenimage.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass
from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
@dataclass
class QwenImageSamplingParams(SamplingParams):
negative_prompt: str = " "
num_... | 45 | 1,248 |
sglang | python/sglang/multimodal_gen/configs/sample/ltx_2.py | .py | import dataclasses
from dataclasses import field
from typing import Any
from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
@dataclasses.dataclass
class LTX2SamplingParams(SamplingParams):
"""Sampling parameters for LTX-2."""
# Match the reference defaults used by ltx-pipelines (... | 127 | 5,106 |
sglang | python/sglang/multimodal_gen/configs/sample/flux.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass
from typing import ClassVar
from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
@dataclass
class FluxSamplingParams(SamplingParams):
_default_hei... | 40 | 1,053 |
sglang | python/sglang/multimodal_gen/configs/sample/pi05.py | .py | # SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from typing import Any
from sglang.multimodal_gen.configs.sample.action import ActionSamplingParams
@dataclass
class Pi05SamplingParams(ActionSamplingParams):
"""Sampling parameters for Pi0.5 flow-matching action inference."""
n... | 77 | 2,756 |
sglang | python/sglang/multimodal_gen/configs/sample/helios.py | .py | # SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
@dataclass
class HeliosT2VSamplingParams(SamplingParams):
# Video parameters
height: int = 384
width: int = 640
num_frames: int = 99
fps: ... | 51 | 1,582 |
sglang | python/sglang/multimodal_gen/configs/sample/__init__.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
from sglang.multimodal_gen.configs.sample.action import ActionSamplingParams
from sglang.multimodal_gen.configs.sample.diffusers_generic import (
DiffusersGenericSamplingParams,
)
from sglang.multimodal_gen.configs.sample.ideogram import Ideogram4S... | 22 | 790 |
sglang | python/sglang/multimodal_gen/configs/sample/longcat_image.py | .py | from dataclasses import dataclass
from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
@dataclass
class LongCatImageSamplingParams(SamplingParams):
num_inference_steps: int = 50
guidance_scale: float = 4.5
height: int = 1024
width: int = 1024
# Override base class defau... | 15 | 445 |
sglang | python/sglang/multimodal_gen/configs/sample/teacache.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
from dataclasses import dataclass, field
from typing import Callable
from sglang.multimodal_gen.configs.sample.sampling_params import CacheParams
@dataclass
class TeaCachePara... | 83 | 3,760 |
sglang | python/sglang/multimodal_gen/configs/sample/spectrum.py | .py | # SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
import math
from dataclasses import dataclass
from sglang.multimodal_gen.configs.sample.sampling_params import CacheParams
@dataclass
class SpectrumParams(CacheParams):
"""
Parameters for [Spectrum](https://arxiv.org/abs/2603.01623) sp... | 134 | 6,273 |
sglang | python/sglang/multimodal_gen/configs/sample/action.py | .py | # SPDX-License-Identifier: Apache-2.0
import argparse
import dataclasses
import os
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any
from sglang.multimodal_gen.configs.sample.sampling_params import (
DataType,
_sanitize_filename,
)
from sglang.multimodal_gen.utils import StoreBool... | 273 | 10,048 |
sglang | python/sglang/multimodal_gen/configs/sample/krea2.py | .py | # Krea-2 (K2) sampling defaults.
#
# `guidance_scale` is the SGLang classifier-free-guidance scale, which equals the
# K2 reference `cfg + 1` (SGLang combines `uncond + scale*(cond-uncond)`, the K2
# reference uses `cond + cfg*(cond-uncond)`). So K2 cfg=0 -> guidance_scale=1.0
# (no CFG), K2 cfg=3.5 -> guidance_scale=4... | 22 | 725 |
sglang | python/sglang/multimodal_gen/configs/sample/ltx_2_5.py | .py | import dataclasses
from sglang.multimodal_gen.configs.sample.ltx_2 import LTX2SamplingParams
@dataclasses.dataclass
class LTX25SamplingParams(LTX2SamplingParams):
"""Sampling defaults for the LTX-2.5 distilled transformer.
`model_index.json` points at the distilled DiT, which runs **unguided** off an
ex... | 34 | 1,121 |
sglang | python/sglang/multimodal_gen/configs/sample/sana.py | .py | # SPDX-License-Identifier: Apache-2.0
"""Sampling parameters for SANA image generation (T2I)."""
from dataclasses import dataclass
from sglang.multimodal_gen.configs.sample.sampling_params import (
DataType,
SamplingParams,
)
@dataclass
class SanaSamplingParams(SamplingParams):
"""Defaults for SANA 1.5 ... | 30 | 829 |
sglang | python/sglang/multimodal_gen/configs/sample/wan.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
from sglang.multimodal_gen.configs.sample.teacache import TeaCacheParams
def _wan_1_3b_coe... | 288 | 9,883 |
sglang | python/sglang/multimodal_gen/configs/sample/joy_echo.py | .py | # SPDX-License-Identifier: Apache-2.0
import dataclasses
from dataclasses import field
from sglang.multimodal_gen.configs.pipeline_configs.joy_echo import (
JOY_ECHO_DEFAULT_SIGMAS,
)
from sglang.multimodal_gen.configs.sample.ltx_2 import LTX2SamplingParams
@dataclasses.dataclass
class JoyEchoSamplingParams(LTX2... | 35 | 873 |
sglang | python/sglang/multimodal_gen/configs/sample/minimax_h3.py | .py | # SPDX-License-Identifier: Apache-2.0
import math
import os
from collections.abc import Mapping
from dataclasses import dataclass, field
from typing import Any
import msgspec
from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
_MINIMAX_H3_MAX_SIGNED_SEED = (1 << 63) - 1
def _optional_un... | 306 | 11,631 |
sglang | python/sglang/multimodal_gen/configs/sample/ideogram.py | .py | # SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass
from sglang.multimodal_gen.configs.sample.sampling_params import (
DataType,
SamplingParams,
)
IDEOGRAM4_PRESETS: dict[str, dict[str, object]] = {
"V4_QUALITY_48": {
"num_steps": 48,
"guidance_schedule": (3.0,) * 3 + ... | 101 | 3,113 |
sglang | python/sglang/multimodal_gen/configs/sample/sana_wm.py | .py | # SPDX-License-Identifier: Apache-2.0
"""Sampling parameters for SANA-WM TI2V world model generation."""
from dataclasses import dataclass
from typing import Any, Optional, Sequence, Union
from sglang.multimodal_gen.configs.sample.sampling_params import (
DataType,
SamplingParams,
)
# Type alias for the came... | 77 | 2,854 |
sglang | python/sglang/multimodal_gen/configs/sample/zimage.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
from sglang.multimodal_gen.configs.sample.teacache import TeaCacheParams
@dataclass
class ... | 46 | 1,219 |
sglang | python/sglang/multimodal_gen/configs/sample/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
from dataclasses import dataclass
from sglang.multimodal_gen.configs.sample.wan import Wan2_2_I2V_A14B_SamplingParam
@dataclass
class LingBotWorldSamplin... | 40 | 1,446 |
sglang | python/sglang/multimodal_gen/configs/sample/stablediffusion3.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
"""StableDiffusion3 sampling parameters configuration."""
from dataclasses import dataclass
from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
@dataclass
class StableDiffusion3Sampl... | 21 | 636 |
sglang | python/sglang/multimodal_gen/configs/sample/ernie_image.py | .py | # SPDX-License-Identifier: Apache-2.0
"""Sampling parameters for ErnieImage."""
from dataclasses import dataclass
from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
@dataclass
class ErnieImageSamplingParams(SamplingParams):
negative_prompt: str = " "
num_frames: int = 1
guid... | 16 | 402 |
sglang | python/sglang/multimodal_gen/configs/sample/hunyuan3d.py | .py | # SPDX-License-Identifier: Apache-2.0
"""Sampling parameters for Hunyuan3D generation."""
from dataclasses import dataclass
from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
@dataclass
class Hunyuan3DSamplingParams(SamplingParams):
"""Sampling parameters for Hunyuan3D image-to-mesh... | 30 | 829 |
sglang | python/sglang/multimodal_gen/configs/sample/lingbot_video_moe.py | .py | # SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass
from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
DEFAULT_NEGATIVE_PROMPT = '{"universal_negative": {"visual_quality": ["low quality", "worst quality", "blurry", "pixelated", "jpeg artifacts", "low resolution", "unst... | 21 | 1,487 |
sglang | python/sglang/multimodal_gen/configs/sample/sana_video.py | .py | # SPDX-License-Identifier: Apache-2.0
"""Sampling defaults for SANA-Video 2B 480p."""
from dataclasses import dataclass
from sglang.multimodal_gen.configs.sample.sampling_params import (
DataType,
SamplingParams,
)
@dataclass
class SanaVideoSamplingParams(SamplingParams):
data_type: DataType = DataType.... | 28 | 884 |
sglang | python/sglang/multimodal_gen/configs/sample/glmimage.py | .py | from dataclasses import dataclass
from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger
logger = init_logger(__name__)
GLM_IMAGE_RESOLUTION_ALIGNMENT = 32
@dataclass
class GlmImageSamplingParams(SamplingParams):
... | 54 | 1,753 |
sglang | python/sglang/multimodal_gen/runtime/warmup_request_builder.py | .py | # SPDX-License-Identifier: Apache-2.0
"""Build synthetic generation warmup requests.
Default server warmup should cover a representative serving path before the
first real request, without copying user traffic. It starts from the model's
sampling defaults, then keeps startup bounded by choosing common low-cost
resolut... | 426 | 16,065 |
sglang | python/sglang/multimodal_gen/runtime/launch_server.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
import dataclasses
import multiprocessing as mp
import os
import signal
import sys
import threading
import time
import psutil
import uvicorn
from sglang.multimodal_gen.runtime.disaggregation.orchestrator import (
DiffusionServer,
)
from sglang.mu... | 819 | 28,254 |
sglang | python/sglang/multimodal_gen/runtime/server_warmup.py | .py | # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
# SPDX-License-Identifier: Apache-2.0
import os
import tempfile
from typing import Any, Awaitable, Callable
from tqdm.auto import tqdm
from sglang.multimodal_gen.runtime.pipelines_core.schedule_batch import (
OutputBatch,
Req,
)
from sglang.m... | 317 | 10,712 |
sglang | python/sglang/multimodal_gen/runtime/ipc_array.py | .py | # SPDX-License-Identifier: Apache-2.0
"""Helpers for transferring large numpy arrays between local scheduler processes."""
from __future__ import annotations
import os
import tempfile
from dataclasses import dataclass
from pathlib import Path
from typing import Any
import numpy as np
_MIN_FILE_REF_BYTES = 32 << 20
... | 93 | 2,602 |
sglang | python/sglang/multimodal_gen/runtime/scheduler_client.py | .py | import itertools
import pickle
import time
import zlib
from typing import Any, Optional
import zmq
import zmq.asyncio
from sglang.multimodal_gen.runtime.entrypoints.post_training.io_struct import (
GetWeightsChecksumReqInput,
ReleaseMemoryOccupationReqInput,
ResumeMemoryOccupationReqInput,
UpdateWeigh... | 345 | 12,950 |
sglang | python/sglang/multimodal_gen/runtime/disaggregation/__init__.py | .py | # SPDX-License-Identifier: Apache-2.0
"""Disaggregation support for diffusion pipelines."""
| 3 | 92 |
sglang | python/sglang/multimodal_gen/runtime/disaggregation/roles.py | .py | # SPDX-License-Identifier: Apache-2.0
"""Role definitions for diffusion pipeline disaggregation."""
from enum import Enum
_ROLE_ALIASES = {"denoising": "denoiser"}
class RoleType(str, Enum):
MONOLITHIC = "monolithic"
ENCODER = "encoder"
DENOISER = "denoiser"
DECODER = "decoder"
SERVER = "server"... | 107 | 2,891 |
sglang | python/sglang/multimodal_gen/runtime/disaggregation/request_state.py | .py | # SPDX-License-Identifier: Apache-2.0
"""Request state machine for disaggregated diffusion pipelines."""
import enum
import logging
import threading
import time
from dataclasses import dataclass, field
logger = logging.getLogger(__name__)
class RequestState(enum.Enum):
"""Lifecycle states for a disagg pipeline ... | 166 | 5,879 |
sglang | python/sglang/multimodal_gen/runtime/disaggregation/dispatch_policy.py | .py | # SPDX-License-Identifier: Apache-2.0
"""Dispatch policies for multi-instance disaggregated diffusion pipelines."""
import abc
import logging
import threading
logger = logging.getLogger(__name__)
class DispatchPolicy(abc.ABC):
def __init__(self, num_instances: int):
if num_instances < 1:
rai... | 166 | 5,678 |
sglang | python/sglang/multimodal_gen/runtime/disaggregation/metrics.py | .py | # SPDX-License-Identifier: Apache-2.0
"""Observability metrics for disaggregated diffusion pipelines."""
import threading
import time
from dataclasses import dataclass
@dataclass
class _RequestTiming:
start_time: float
stage_start: float = 0.0
@dataclass
class RoleStats:
role: str
requests_complete... | 134 | 4,328 |
sglang | python/sglang/multimodal_gen/runtime/disaggregation/scheduler_mixin.py | .py | # SPDX-License-Identifier: Apache-2.0
"""Mixin that adds disaggregated diffusion scheduling to the Scheduler.
Extracted from scheduler.py to keep the core scheduler lean.
All transfer, compute, and event-loop logic for disaggregated roles
(encoder / denoiser / decoder) lives here.
"""
from __future__ import annotatio... | 1,616 | 66,411 |
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