[diffusion] refactor: clean useless files (#14094)

This commit is contained in:
Mick
2025-11-28 18:14:00 +08:00
committed by GitHub
parent ea1e9f6b3c
commit 0e8ce1e832
4 changed files with 0 additions and 193 deletions

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@@ -1,55 +0,0 @@
# Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
from enum import Enum
from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger
logger = init_logger(__name__)
class DatasetType(str, Enum):
"""
Enumeration for different dataset types.
"""
HF = "hf"
MERGED = "merged"
@classmethod
def from_string(cls, value: str) -> "DatasetType":
"""Convert string to DatasetType enum."""
try:
return cls(value.lower())
except ValueError:
raise ValueError(
f"Invalid dataset type: {value}. Must be one of: {', '.join([m.value for m in cls])}"
) from None
@classmethod
def choices(cls) -> list[str]:
"""Get all available choices as strings for argparse."""
return [dataset_type.value for dataset_type in cls]
class VideoLoaderType(str, Enum):
"""
Enumeration for different video loaders.
"""
TORCHCODEC = "torchcodec"
TORCHVISION = "torchvision"
@classmethod
def from_string(cls, value: str) -> "VideoLoaderType":
"""Convert string to VideoLoader enum."""
try:
return cls(value.lower())
except ValueError:
raise ValueError(
f"Invalid video loader: {value}. Must be one of: {', '.join([m.value for m in cls])}"
) from None
@classmethod
def choices(cls) -> list[str]:
"""Get all available choices as strings for argparse."""
return [video_loader.value for video_loader in cls]

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@@ -1,48 +0,0 @@
{
"embedded_cfg_scale": 6,
"flow_shift": 17,
"dit_cpu_offload": false,
"disable_autocast": false,
"precision": "bf16",
"vae_precision": "fp32",
"vae_tiling": true,
"vae_sp": true,
"vae_config": {
"load_encoder": false,
"load_decoder": true,
"tile_sample_min_height": 256,
"tile_sample_min_width": 256,
"tile_sample_min_num_frames": 16,
"tile_sample_stride_height": 192,
"tile_sample_stride_width": 192,
"tile_sample_stride_num_frames": 12,
"blend_num_frames": 4,
"use_tiling": true,
"use_temporal_tiling": true,
"use_parallel_tiling": true
},
"dit_config": {
"prefix": "Hunyuan",
"quant_config": null
},
"text_encoder_precisions": [
"fp16",
"fp16"
],
"text_encoder_configs": [
{
"prefix": "llama",
"quant_config": null,
"lora_config": null
},
{
"prefix": "clip",
"quant_config": null,
"lora_config": null,
"num_hidden_layers_override": null,
"require_post_norm": null
}
],
"mask_strategy_file_path": null,
"enable_torch_compile": false
}

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@@ -1,41 +0,0 @@
{
"embedded_cfg_scale": 6.0,
"flow_shift": 3,
"dit_cpu_offload": true,
"disable_autocast": false,
"precision": "bf16",
"vae_precision": "fp32",
"vae_tiling": false,
"vae_sp": false,
"vae_config": {
"load_encoder": false,
"load_decoder": true,
"tile_sample_min_height": 256,
"tile_sample_min_width": 256,
"tile_sample_min_num_frames": 16,
"tile_sample_stride_height": 192,
"tile_sample_stride_width": 192,
"tile_sample_stride_num_frames": 12,
"blend_num_frames": 8,
"use_tiling": false,
"use_temporal_tiling": false,
"use_parallel_tiling": false,
"use_feature_cache": true
},
"dit_config": {
"prefix": "Wan",
"quant_config": null
},
"text_encoder_precisions": [
"fp32"
],
"text_encoder_configs": [
{
"prefix": "t5",
"quant_config": null,
"lora_config": null
}
],
"mask_strategy_file_path": null,
"enable_torch_compile": false
}

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@@ -1,49 +0,0 @@
{
"embedded_cfg_scale": 6.0,
"flow_shift": 3,
"dit_cpu_offload": true,
"disable_autocast": false,
"precision": "bf16",
"vae_precision": "fp32",
"vae_tiling": false,
"vae_sp": false,
"vae_config": {
"load_encoder": true,
"load_decoder": true,
"tile_sample_min_height": 256,
"tile_sample_min_width": 256,
"tile_sample_min_num_frames": 16,
"tile_sample_stride_height": 192,
"tile_sample_stride_width": 192,
"tile_sample_stride_num_frames": 12,
"blend_num_frames": 8,
"use_tiling": false,
"use_temporal_tiling": false,
"use_parallel_tiling": false,
"use_feature_cache": true
},
"dit_config": {
"prefix": "Wan",
"quant_config": null
},
"text_encoder_precisions": [
"fp32"
],
"text_encoder_configs": [
{
"prefix": "t5",
"quant_config": null,
"lora_config": null
}
],
"mask_strategy_file_path": null,
"enable_torch_compile": false,
"image_encoder_config": {
"prefix": "clip",
"quant_config": null,
"lora_config": null,
"num_hidden_layers_override": null,
"require_post_norm": null
},
"image_encoder_precision": "fp32"
}